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- Qwen-Image-Edit-2511/model_index.json +28 -0
- Qwen-Image-Edit-2511/processor/added_tokens.json +24 -0
- Qwen-Image-Edit-2511/processor/chat_template.jinja +7 -0
- Qwen-Image-Edit-2511/processor/merges.txt +0 -0
- Qwen-Image-Edit-2511/processor/preprocessor_config.json +39 -0
- Qwen-Image-Edit-2511/processor/special_tokens_map.json +31 -0
- Qwen-Image-Edit-2511/processor/tokenizer_config.json +208 -0
- Qwen-Image-Edit-2511/processor/video_preprocessor_config.json +43 -0
- Qwen-Image-Edit-2511/processor/vocab.json +0 -0
- Qwen-Image-Edit-2511/scheduler/scheduler_config.json +18 -0
- Qwen-Image-Edit-2511/text_encoder/config.json +132 -0
- Qwen-Image-Edit-2511/text_encoder/generation_config.json +14 -0
- Qwen-Image-Edit-2511/text_encoder/model.safetensors.index.json +737 -0
- Qwen-Image-Edit-2511/tokenizer/added_tokens.json +24 -0
- Qwen-Image-Edit-2511/tokenizer/chat_template.jinja +54 -0
- Qwen-Image-Edit-2511/tokenizer/merges.txt +0 -0
- Qwen-Image-Edit-2511/tokenizer/special_tokens_map.json +31 -0
- Qwen-Image-Edit-2511/tokenizer/tokenizer_config.json +207 -0
- Qwen-Image-Edit-2511/tokenizer/vocab.json +0 -0
- Qwen-Image-Edit-2511/transformer/config.json +18 -0
- Qwen-Image-Edit-2511/transformer/diffusion_pytorch_model.safetensors.index.json +0 -0
- Qwen-Image-Edit-2511/vae/config.json +56 -0
- Qwen3-VL-8B-Thinking/.gitattributes +35 -0
- Qwen3-VL-8B-Thinking/README.md +193 -0
- Qwen3-VL-8B-Thinking/chat_template.json +3 -0
- Qwen3-VL-8B-Thinking/config.json +62 -0
- Qwen3-VL-8B-Thinking/generation_config.json +14 -0
- Qwen3-VL-8B-Thinking/merges.txt +0 -0
- Qwen3-VL-8B-Thinking/model.safetensors.index.json +757 -0
- Qwen3-VL-8B-Thinking/preprocessor_config.json +21 -0
- Qwen3-VL-8B-Thinking/tokenizer.json +0 -0
- Qwen3-VL-8B-Thinking/tokenizer_config.json +239 -0
- Qwen3-VL-8B-Thinking/video_preprocessor_config.json +21 -0
- Qwen3-VL-8B-Thinking/vocab.json +0 -0
- SSD-1B/.gitattributes +35 -0
- SSD-1B/README.md +250 -0
- SSD-1B/model_index.json +33 -0
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- Wan2.1-Distill-Loras/README.md +15 -0
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- controlnet-depth-sdxl-1.0/README.md +111 -0
- controlnet-depth-sdxl-1.0/config.json +57 -0
- lcm-sdxl/.gitattributes +36 -0
- lcm-sdxl/README.md +75 -0
- lcm-sdxl/config.json +73 -0
- sd-vae-ft-ema/.gitattributes +33 -0
- sd-vae-ft-ema/README.md +83 -0
- sd-vae-ft-ema/config.json +29 -0
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Qwen-Image-Edit-2511/README.md
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| 1 |
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---
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| 2 |
+
license: apache-2.0
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| 3 |
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language:
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| 4 |
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- en
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| 5 |
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- zh
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| 6 |
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library_name: diffusers
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| 7 |
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pipeline_tag: image-to-image
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| 8 |
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---
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| 9 |
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<p align="center">
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| 10 |
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<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_edit_logo.png" width="400"/>
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| 11 |
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<p>
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| 12 |
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<p align="center">
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| 13 |
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💜 <a href="https://chat.qwen.ai/"><b>Qwen Chat</b></a>   |   🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-Edit-2511">Hugging Face</a>   |   🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image-Edit-2511">ModelScope</a>   |    📑 <a href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/Qwen_Image.pdf">Tech Report</a>    |    📑 <a href="https://qwenlm.github.io/blog/qwen-image-edit-2511/">Blog</a>   
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| 14 |
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<br>
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| 15 |
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🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image-Edit-2511">Demo</a>   |   💬 <a href="https://github.com/QwenLM/Qwen-Image/blob/main/assets/wechat.png">WeChat (微信)</a>   |   🫨 <a href="https://discord.gg/CV4E9rpNSD">Discord</a>  |    <a href="https://github.com/QwenLM/Qwen-Image">Github</a>  
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| 16 |
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</p>
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| 17 |
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| 18 |
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<p align="center">
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| 19 |
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<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/Qwen-Image/edit2511/edit2511big.JPG#center" width="1600"/>
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| 20 |
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<p>
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| 21 |
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| 22 |
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| 23 |
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# Introduction
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| 24 |
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| 25 |
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We are excited to introduce Qwen-Image-Edit-2511, an enhanced version over Qwen-Image-Edit-2509, featuring multiple improvements—including notably better consistency. To try out the latest model, please visit [Qwen Chat](https://chat.qwen.ai/?inputFeature=image_edit) and select the Image Editing feature.
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| 26 |
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| 27 |
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Key enhancements in Qwen-Image-Edit-2511 include: mitigate image drift, improved character consistency，integrated LoRA capabilities， enhanced industrial design generation, and strengthened geometric reasoning ability.
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| 28 |
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| 29 |
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| 30 |
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## Quick Start
|
| 31 |
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|
| 32 |
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Install the latest version of diffusers
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| 33 |
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```
|
| 34 |
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pip install git+https://github.com/huggingface/diffusers
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| 35 |
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```
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| 36 |
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|
| 37 |
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The following contains a code snippet illustrating how to use `Qwen-Image-Edit-2511`:
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| 38 |
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|
| 39 |
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```python
|
| 40 |
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import os
|
| 41 |
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import torch
|
| 42 |
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from PIL import Image
|
| 43 |
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from diffusers import QwenImageEditPlusPipeline
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| 44 |
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|
| 45 |
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pipeline = QwenImageEditPlusPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", torch_dtype=torch.bfloat16)
|
| 46 |
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print("pipeline loaded")
|
| 47 |
+
|
| 48 |
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pipeline.to('cuda')
|
| 49 |
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pipeline.set_progress_bar_config(disable=None)
|
| 50 |
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image1 = Image.open("input1.png")
|
| 51 |
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image2 = Image.open("input2.png")
|
| 52 |
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prompt = "The magician bear is on the left, the alchemist bear is on the right, facing each other in the central park square."
|
| 53 |
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inputs = {
|
| 54 |
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"image": [image1, image2],
|
| 55 |
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"prompt": prompt,
|
| 56 |
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"generator": torch.manual_seed(0),
|
| 57 |
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"true_cfg_scale": 4.0,
|
| 58 |
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"negative_prompt": " ",
|
| 59 |
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"num_inference_steps": 40,
|
| 60 |
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"guidance_scale": 1.0,
|
| 61 |
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"num_images_per_prompt": 1,
|
| 62 |
+
}
|
| 63 |
+
with torch.inference_mode():
|
| 64 |
+
output = pipeline(**inputs)
|
| 65 |
+
output_image = output.images[0]
|
| 66 |
+
output_image.save("output_image_edit_2511.png")
|
| 67 |
+
print("image saved at", os.path.abspath("output_image_edit_2511.png"))
|
| 68 |
+
|
| 69 |
+
```
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| 70 |
+
|
| 71 |
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## Showcase
|
| 72 |
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|
| 73 |
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**Qwen-Image-Edit-2511 Enhances Character Consistency**
|
| 74 |
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In Qwen-Image-Edit-2511, character consistency has been significantly improved. The model can perform imaginative edits based on an input portrait while preserving the identity and visual characteristics of the subject.
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| 75 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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**Improved Multi-Person Consistency**
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| 82 |
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While Qwen-Image-Edit-2509 already improved consistency for single-subject editing, Qwen-Image-Edit-2511 further enhances consistency in multi-person group photos—enabling high-fidelity fusion of two separate person images into a coherent group shot:
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| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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**Built-in Support for Community-Created LoRAs**
|
| 87 |
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Since Qwen-Image-Edit’s release, the community has developed many creative and high-quality LoRAs—greatly expanding its expressive potential. Qwen-Image-Edit-2511 integrates selected popular LoRAs directly into the base model, unlocking their effects without extra tuning.
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| 88 |
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|
| 89 |
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For example, Lighting Enhancement LoRA
|
| 90 |
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Realistic lighting control is now achievable out-of-the-box:
|
| 91 |
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|
| 92 |
+
|
| 93 |
+
|
| 94 |
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|
| 95 |
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Another example, generating new viewpoints can now be done directly with the base model:
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| 96 |
+
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
|
| 101 |
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**Industrial Design Applications**
|
| 102 |
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|
| 103 |
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We’ve paid special attention to practical engineering scenarios—for instance, batch industrial product design:
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| 104 |
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| 105 |
+
|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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| 110 |
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…and material replacement for industrial components:
|
| 111 |
+
|
| 112 |
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|
| 113 |
+
|
| 114 |
+
|
| 115 |
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**Enhanced Geometric Reasoning**
|
| 116 |
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Qwen-Image-Edit-2511 introduces stronger geometric reasoning capability—e.g., directly generating auxiliary construction lines for design or annotation purposes:
|
| 117 |
+
|
| 118 |
+
|
| 119 |
+
|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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That wraps up the major updates in Qwen-Image-Edit-2511.
|
| 124 |
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Enjoy exploring the new capabilities! 🎉
|
| 125 |
+
|
| 126 |
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## License Agreement
|
| 127 |
+
|
| 128 |
+
Qwen-Image is licensed under Apache 2.0.
|
| 129 |
+
|
| 130 |
+
## Citation
|
| 131 |
+
|
| 132 |
+
We kindly encourage citation of our work if you find it useful.
|
| 133 |
+
|
| 134 |
+
```bibtex
|
| 135 |
+
@misc{wu2025qwenimagetechnicalreport,
|
| 136 |
+
title={Qwen-Image Technical Report},
|
| 137 |
+
author={Chenfei Wu and Jiahao Li and Jingren Zhou and Junyang Lin and Kaiyuan Gao and Kun Yan and Sheng-ming Yin and Shuai Bai and Xiao Xu and Yilei Chen and Yuxiang Chen and Zecheng Tang and Zekai Zhang and Zhengyi Wang and An Yang and Bowen Yu and Chen Cheng and Dayiheng Liu and Deqing Li and Hang Zhang and Hao Meng and Hu Wei and Jingyuan Ni and Kai Chen and Kuan Cao and Liang Peng and Lin Qu and Minggang Wu and Peng Wang and Shuting Yu and Tingkun Wen and Wensen Feng and Xiaoxiao Xu and Yi Wang and Yichang Zhang and Yongqiang Zhu and Yujia Wu and Yuxuan Cai and Zenan Liu},
|
| 138 |
+
year={2025},
|
| 139 |
+
eprint={2508.02324},
|
| 140 |
+
archivePrefix={arXiv},
|
| 141 |
+
primaryClass={cs.CV},
|
| 142 |
+
url={https://arxiv.org/abs/2508.02324},
|
| 143 |
+
}
|
| 144 |
+
```
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Qwen-Image-Edit-2511/model_index.json
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{
|
| 2 |
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"_class_name": "QwenImageEditPlusPipeline",
|
| 3 |
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"_diffusers_version": "0.36.0.dev0",
|
| 4 |
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"processor": [
|
| 5 |
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"transformers",
|
| 6 |
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"Qwen2VLProcessor"
|
| 7 |
+
],
|
| 8 |
+
"scheduler": [
|
| 9 |
+
"diffusers",
|
| 10 |
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"FlowMatchEulerDiscreteScheduler"
|
| 11 |
+
],
|
| 12 |
+
"text_encoder": [
|
| 13 |
+
"transformers",
|
| 14 |
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"Qwen2_5_VLForConditionalGeneration"
|
| 15 |
+
],
|
| 16 |
+
"tokenizer": [
|
| 17 |
+
"transformers",
|
| 18 |
+
"Qwen2Tokenizer"
|
| 19 |
+
],
|
| 20 |
+
"transformer": [
|
| 21 |
+
"diffusers",
|
| 22 |
+
"QwenImageTransformer2DModel"
|
| 23 |
+
],
|
| 24 |
+
"vae": [
|
| 25 |
+
"diffusers",
|
| 26 |
+
"AutoencoderKLQwenImage"
|
| 27 |
+
]
|
| 28 |
+
}
|
Qwen-Image-Edit-2511/processor/added_tokens.json
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
Qwen-Image-Edit-2511/processor/chat_template.jinja
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
|
| 2 |
+
You are a helpful assistant.<|im_end|>
|
| 3 |
+
{% endif %}<|im_start|>{{ message['role'] }}
|
| 4 |
+
{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
|
| 5 |
+
{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
|
| 6 |
+
{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
|
| 7 |
+
{% endif %}
|
Qwen-Image-Edit-2511/processor/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen-Image-Edit-2511/processor/preprocessor_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"device": null,
|
| 6 |
+
"disable_grouping": null,
|
| 7 |
+
"do_center_crop": null,
|
| 8 |
+
"do_convert_rgb": true,
|
| 9 |
+
"do_normalize": true,
|
| 10 |
+
"do_pad": null,
|
| 11 |
+
"do_rescale": true,
|
| 12 |
+
"do_resize": true,
|
| 13 |
+
"image_mean": [
|
| 14 |
+
0.48145466,
|
| 15 |
+
0.4578275,
|
| 16 |
+
0.40821073
|
| 17 |
+
],
|
| 18 |
+
"image_processor_type": "Qwen2VLImageProcessorFast",
|
| 19 |
+
"image_std": [
|
| 20 |
+
0.26862954,
|
| 21 |
+
0.26130258,
|
| 22 |
+
0.27577711
|
| 23 |
+
],
|
| 24 |
+
"input_data_format": null,
|
| 25 |
+
"max_pixels": 12845056,
|
| 26 |
+
"merge_size": 2,
|
| 27 |
+
"min_pixels": 3136,
|
| 28 |
+
"pad_size": null,
|
| 29 |
+
"patch_size": 14,
|
| 30 |
+
"processor_class": "Qwen2VLProcessor",
|
| 31 |
+
"resample": 3,
|
| 32 |
+
"rescale_factor": 0.00392156862745098,
|
| 33 |
+
"return_tensors": null,
|
| 34 |
+
"size": {
|
| 35 |
+
"longest_edge": 12845056,
|
| 36 |
+
"shortest_edge": 3136
|
| 37 |
+
},
|
| 38 |
+
"temporal_patch_size": 2
|
| 39 |
+
}
|
Qwen-Image-Edit-2511/processor/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
Qwen-Image-Edit-2511/processor/tokenizer_config.json
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|im_end|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"processor_class": "Qwen2VLProcessor",
|
| 205 |
+
"split_special_tokens": false,
|
| 206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 207 |
+
"unk_token": null
|
| 208 |
+
}
|
Qwen-Image-Edit-2511/processor/video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"device": null,
|
| 6 |
+
"do_center_crop": null,
|
| 7 |
+
"do_convert_rgb": true,
|
| 8 |
+
"do_normalize": true,
|
| 9 |
+
"do_rescale": true,
|
| 10 |
+
"do_resize": true,
|
| 11 |
+
"do_sample_frames": false,
|
| 12 |
+
"fps": null,
|
| 13 |
+
"image_mean": [
|
| 14 |
+
0.48145466,
|
| 15 |
+
0.4578275,
|
| 16 |
+
0.40821073
|
| 17 |
+
],
|
| 18 |
+
"image_std": [
|
| 19 |
+
0.26862954,
|
| 20 |
+
0.26130258,
|
| 21 |
+
0.27577711
|
| 22 |
+
],
|
| 23 |
+
"input_data_format": null,
|
| 24 |
+
"max_frames": 768,
|
| 25 |
+
"max_pixels": 12845056,
|
| 26 |
+
"merge_size": 2,
|
| 27 |
+
"min_frames": 4,
|
| 28 |
+
"min_pixels": 3136,
|
| 29 |
+
"num_frames": null,
|
| 30 |
+
"pad_size": null,
|
| 31 |
+
"patch_size": 14,
|
| 32 |
+
"processor_class": "Qwen2VLProcessor",
|
| 33 |
+
"resample": 3,
|
| 34 |
+
"rescale_factor": 0.00392156862745098,
|
| 35 |
+
"return_metadata": false,
|
| 36 |
+
"size": {
|
| 37 |
+
"longest_edge": 12845056,
|
| 38 |
+
"shortest_edge": 3136
|
| 39 |
+
},
|
| 40 |
+
"temporal_patch_size": 2,
|
| 41 |
+
"video_metadata": null,
|
| 42 |
+
"video_processor_type": "Qwen2VLVideoProcessor"
|
| 43 |
+
}
|
Qwen-Image-Edit-2511/processor/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen-Image-Edit-2511/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.36.0.dev0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 8192,
|
| 8 |
+
"max_shift": 0.9,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": 0.02,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": true,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
Qwen-Image-Edit-2511/text_encoder/config.json
ADDED
|
@@ -0,0 +1,132 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2_5_VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"dtype": "bfloat16",
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 3584,
|
| 11 |
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"image_token_id": 151655,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 18944,
|
| 14 |
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"max_position_embeddings": 128000,
|
| 15 |
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"max_window_layers": 28,
|
| 16 |
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"model_type": "qwen2_5_vl",
|
| 17 |
+
"num_attention_heads": 28,
|
| 18 |
+
"num_hidden_layers": 28,
|
| 19 |
+
"num_key_value_heads": 4,
|
| 20 |
+
"rms_norm_eps": 1e-06,
|
| 21 |
+
"rope_scaling": {
|
| 22 |
+
"mrope_section": [
|
| 23 |
+
16,
|
| 24 |
+
24,
|
| 25 |
+
24
|
| 26 |
+
],
|
| 27 |
+
"rope_type": "default",
|
| 28 |
+
"type": "default"
|
| 29 |
+
},
|
| 30 |
+
"rope_theta": 1000000.0,
|
| 31 |
+
"sliding_window": 32768,
|
| 32 |
+
"text_config": {
|
| 33 |
+
"_name_or_path": "/cpfs01/haoyangzhang/pretrained_weights/Qwen2.5-VL",
|
| 34 |
+
"architectures": [
|
| 35 |
+
"Qwen2_5_VLForConditionalGeneration"
|
| 36 |
+
],
|
| 37 |
+
"attention_dropout": 0.0,
|
| 38 |
+
"bos_token_id": 151643,
|
| 39 |
+
"dtype": "float32",
|
| 40 |
+
"eos_token_id": 151645,
|
| 41 |
+
"hidden_act": "silu",
|
| 42 |
+
"hidden_size": 3584,
|
| 43 |
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"initializer_range": 0.02,
|
| 44 |
+
"intermediate_size": 18944,
|
| 45 |
+
"layer_types": [
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention",
|
| 65 |
+
"full_attention",
|
| 66 |
+
"full_attention",
|
| 67 |
+
"full_attention",
|
| 68 |
+
"full_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"full_attention",
|
| 71 |
+
"full_attention",
|
| 72 |
+
"full_attention",
|
| 73 |
+
"full_attention"
|
| 74 |
+
],
|
| 75 |
+
"max_position_embeddings": 128000,
|
| 76 |
+
"max_window_layers": 28,
|
| 77 |
+
"model_type": "qwen2_5_vl_text",
|
| 78 |
+
"num_attention_heads": 28,
|
| 79 |
+
"num_hidden_layers": 28,
|
| 80 |
+
"num_key_value_heads": 4,
|
| 81 |
+
"rms_norm_eps": 1e-06,
|
| 82 |
+
"rope_scaling": {
|
| 83 |
+
"mrope_section": [
|
| 84 |
+
16,
|
| 85 |
+
24,
|
| 86 |
+
24
|
| 87 |
+
],
|
| 88 |
+
"rope_type": "default",
|
| 89 |
+
"type": "default"
|
| 90 |
+
},
|
| 91 |
+
"rope_theta": 1000000.0,
|
| 92 |
+
"sliding_window": null,
|
| 93 |
+
"use_cache": true,
|
| 94 |
+
"use_sliding_window": false,
|
| 95 |
+
"vision_token_id": 151654,
|
| 96 |
+
"vocab_size": 152064
|
| 97 |
+
},
|
| 98 |
+
"tie_word_embeddings": false,
|
| 99 |
+
"transformers_version": "4.57.1",
|
| 100 |
+
"use_cache": true,
|
| 101 |
+
"use_sliding_window": false,
|
| 102 |
+
"video_token_id": 151656,
|
| 103 |
+
"vision_config": {
|
| 104 |
+
"depth": 32,
|
| 105 |
+
"dtype": "float32",
|
| 106 |
+
"fullatt_block_indexes": [
|
| 107 |
+
7,
|
| 108 |
+
15,
|
| 109 |
+
23,
|
| 110 |
+
31
|
| 111 |
+
],
|
| 112 |
+
"hidden_act": "silu",
|
| 113 |
+
"hidden_size": 1280,
|
| 114 |
+
"in_channels": 3,
|
| 115 |
+
"in_chans": 3,
|
| 116 |
+
"initializer_range": 0.02,
|
| 117 |
+
"intermediate_size": 3420,
|
| 118 |
+
"model_type": "qwen2_5_vl",
|
| 119 |
+
"num_heads": 16,
|
| 120 |
+
"out_hidden_size": 3584,
|
| 121 |
+
"patch_size": 14,
|
| 122 |
+
"spatial_merge_size": 2,
|
| 123 |
+
"spatial_patch_size": 14,
|
| 124 |
+
"temporal_patch_size": 2,
|
| 125 |
+
"tokens_per_second": 2,
|
| 126 |
+
"window_size": 112
|
| 127 |
+
},
|
| 128 |
+
"vision_end_token_id": 151653,
|
| 129 |
+
"vision_start_token_id": 151652,
|
| 130 |
+
"vision_token_id": 151654,
|
| 131 |
+
"vocab_size": 152064
|
| 132 |
+
}
|
Qwen-Image-Edit-2511/text_encoder/generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.05,
|
| 10 |
+
"temperature": 0.1,
|
| 11 |
+
"top_k": 1,
|
| 12 |
+
"top_p": 0.001,
|
| 13 |
+
"transformers_version": "4.57.1"
|
| 14 |
+
}
|
Qwen-Image-Edit-2511/text_encoder/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,737 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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| 655 |
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| 657 |
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| 673 |
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| 674 |
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| 675 |
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| 677 |
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| 679 |
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| 680 |
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| 681 |
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| 682 |
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| 683 |
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| 685 |
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| 686 |
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| 687 |
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| 688 |
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| 689 |
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| 690 |
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|
| 691 |
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| 692 |
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|
| 693 |
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|
| 694 |
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|
| 695 |
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|
| 696 |
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|
| 697 |
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|
| 698 |
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|
| 699 |
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"visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 700 |
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|
| 701 |
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|
| 702 |
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|
| 703 |
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| 704 |
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|
| 705 |
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|
| 706 |
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|
| 707 |
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|
| 708 |
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| 709 |
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|
| 710 |
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|
| 711 |
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|
| 712 |
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|
| 713 |
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|
| 714 |
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|
| 715 |
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|
| 716 |
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|
| 717 |
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|
| 718 |
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|
| 719 |
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|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 723 |
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|
| 724 |
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|
| 725 |
+
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|
| 726 |
+
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|
| 727 |
+
"visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 728 |
+
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|
| 729 |
+
"visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
|
| 730 |
+
"visual.merger.ln_q.weight": "model-00001-of-00004.safetensors",
|
| 731 |
+
"visual.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
|
| 732 |
+
"visual.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
|
| 733 |
+
"visual.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
|
| 734 |
+
"visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
|
| 735 |
+
"visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
|
| 736 |
+
}
|
| 737 |
+
}
|
Qwen-Image-Edit-2511/tokenizer/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
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|
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|
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|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
Qwen-Image-Edit-2511/tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
Qwen-Image-Edit-2511/tokenizer/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen-Image-Edit-2511/tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
Qwen-Image-Edit-2511/tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|im_end|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
Qwen-Image-Edit-2511/tokenizer/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen-Image-Edit-2511/transformer/config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "QwenImageTransformer2DModel",
|
| 3 |
+
"_diffusers_version": "0.36.0.dev0",
|
| 4 |
+
"attention_head_dim": 128,
|
| 5 |
+
"axes_dims_rope": [
|
| 6 |
+
16,
|
| 7 |
+
56,
|
| 8 |
+
56
|
| 9 |
+
],
|
| 10 |
+
"guidance_embeds": false,
|
| 11 |
+
"in_channels": 64,
|
| 12 |
+
"joint_attention_dim": 3584,
|
| 13 |
+
"num_attention_heads": 24,
|
| 14 |
+
"num_layers": 60,
|
| 15 |
+
"out_channels": 16,
|
| 16 |
+
"patch_size": 2,
|
| 17 |
+
"zero_cond_t": true
|
| 18 |
+
}
|
Qwen-Image-Edit-2511/transformer/diffusion_pytorch_model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen-Image-Edit-2511/vae/config.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKLQwenImage",
|
| 3 |
+
"_diffusers_version": "0.36.0.dev0",
|
| 4 |
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"attn_scales": [],
|
| 5 |
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"base_dim": 96,
|
| 6 |
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"dim_mult": [
|
| 7 |
+
1,
|
| 8 |
+
2,
|
| 9 |
+
4,
|
| 10 |
+
4
|
| 11 |
+
],
|
| 12 |
+
"dropout": 0.0,
|
| 13 |
+
"latents_mean": [
|
| 14 |
+
-0.7571,
|
| 15 |
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-0.7089,
|
| 16 |
+
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|
| 17 |
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0.1075,
|
| 18 |
+
-0.1745,
|
| 19 |
+
0.9653,
|
| 20 |
+
-0.1517,
|
| 21 |
+
1.5508,
|
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|
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|
| 24 |
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0.5517,
|
| 25 |
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|
| 26 |
+
-0.1922,
|
| 27 |
+
-0.9497,
|
| 28 |
+
0.2503,
|
| 29 |
+
-0.2921
|
| 30 |
+
],
|
| 31 |
+
"latents_std": [
|
| 32 |
+
2.8184,
|
| 33 |
+
1.4541,
|
| 34 |
+
2.3275,
|
| 35 |
+
2.6558,
|
| 36 |
+
1.2196,
|
| 37 |
+
1.7708,
|
| 38 |
+
2.6052,
|
| 39 |
+
2.0743,
|
| 40 |
+
3.2687,
|
| 41 |
+
2.1526,
|
| 42 |
+
2.8652,
|
| 43 |
+
1.5579,
|
| 44 |
+
1.6382,
|
| 45 |
+
1.1253,
|
| 46 |
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2.8251,
|
| 47 |
+
1.916
|
| 48 |
+
],
|
| 49 |
+
"num_res_blocks": 2,
|
| 50 |
+
"temperal_downsample": [
|
| 51 |
+
false,
|
| 52 |
+
true,
|
| 53 |
+
true
|
| 54 |
+
],
|
| 55 |
+
"z_dim": 16
|
| 56 |
+
}
|
Qwen3-VL-8B-Thinking/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
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|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
Qwen3-VL-8B-Thinking/README.md
ADDED
|
@@ -0,0 +1,193 @@
|
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|
|
|
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|
|
|
|
|
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|
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|
|
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|
|
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|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
pipeline_tag: image-text-to-text
|
| 4 |
+
library_name: transformers
|
| 5 |
+
---
|
| 6 |
+
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
|
| 7 |
+
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
|
| 8 |
+
</a>
|
| 9 |
+
|
| 10 |
+
# Qwen3-VL-8B-Thinking
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
|
| 14 |
+
|
| 15 |
+
This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual perception & reasoning, extended context length, enhanced spatial and video dynamics comprehension, and stronger agent interaction capabilities.
|
| 16 |
+
|
| 17 |
+
Available in Dense and MoE architectures that scale from edge to cloud, with Instruct and reasoning‑enhanced Thinking editions for flexible, on‑demand deployment.
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
#### Key Enhancements:
|
| 21 |
+
|
| 22 |
+
* **Visual Agent**: Operates PC/mobile GUIs—recognizes elements, understands functions, invokes tools, completes tasks.
|
| 23 |
+
|
| 24 |
+
* **Visual Coding Boost**: Generates Draw.io/HTML/CSS/JS from images/videos.
|
| 25 |
+
|
| 26 |
+
* **Advanced Spatial Perception**: Judges object positions, viewpoints, and occlusions; provides stronger 2D grounding and enables 3D grounding for spatial reasoning and embodied AI.
|
| 27 |
+
|
| 28 |
+
* **Long Context & Video Understanding**: Native 256K context, expandable to 1M; handles books and hours-long video with full recall and second-level indexing.
|
| 29 |
+
|
| 30 |
+
* **Enhanced Multimodal Reasoning**: Excels in STEM/Math—causal analysis and logical, evidence-based answers.
|
| 31 |
+
|
| 32 |
+
* **Upgraded Visual Recognition**: Broader, higher-quality pretraining is able to “recognize everything”—celebrities, anime, products, landmarks, flora/fauna, etc.
|
| 33 |
+
|
| 34 |
+
* **Expanded OCR**: Supports 32 languages (up from 19); robust in low light, blur, and tilt; better with rare/ancient characters and jargon; improved long-document structure parsing.
|
| 35 |
+
|
| 36 |
+
* **Text Understanding on par with pure LLMs**: Seamless text–vision fusion for lossless, unified comprehension.
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
#### Model Architecture Updates:
|
| 40 |
+
|
| 41 |
+
<p align="center">
|
| 42 |
+
<img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3-VL/qwen3vl_arc.jpg" width="80%"/>
|
| 43 |
+
<p>
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
1. **Interleaved-MRoPE**: Full‑frequency allocation over time, width, and height via robust positional embeddings, enhancing long‑horizon video reasoning.
|
| 47 |
+
|
| 48 |
+
2. **DeepStack**: Fuses multi‑level ViT features to capture fine‑grained details and sharpen image–text alignment.
|
| 49 |
+
|
| 50 |
+
3. **Text–Timestamp Alignment:** Moves beyond T‑RoPE to precise, timestamp‑grounded event localization for stronger video temporal modeling.
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
This is the weight repository for Qwen3-VL-8B-Thinking.
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
---
|
| 57 |
+
|
| 58 |
+
## Model Performance
|
| 59 |
+
|
| 60 |
+
**Multimodal performance**
|
| 61 |
+
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
**Pure text performance**
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
## Quickstart
|
| 68 |
+
|
| 69 |
+
Below, we provide simple examples to show how to use Qwen3-VL with 🤖 ModelScope and 🤗 Transformers.
|
| 70 |
+
|
| 71 |
+
The code of Qwen3-VL has been in the latest Hugging face transformers and we advise you to build from source with command:
|
| 72 |
+
```
|
| 73 |
+
pip install git+https://github.com/huggingface/transformers
|
| 74 |
+
# pip install transformers==4.57.0 # currently, V4.57.0 is not released
|
| 75 |
+
```
|
| 76 |
+
|
| 77 |
+
### Using 🤗 Transformers to Chat
|
| 78 |
+
|
| 79 |
+
Here we show a code snippet to show you how to use the chat model with `transformers`:
|
| 80 |
+
|
| 81 |
+
```python
|
| 82 |
+
from transformers import Qwen3VLForConditionalGeneration, AutoProcessor
|
| 83 |
+
|
| 84 |
+
# default: Load the model on the available device(s)
|
| 85 |
+
model = Qwen3VLForConditionalGeneration.from_pretrained(
|
| 86 |
+
"Qwen/Qwen3-VL-8B-Thinking", dtype="auto", device_map="auto"
|
| 87 |
+
)
|
| 88 |
+
|
| 89 |
+
# We recommend enabling flash_attention_2 for better acceleration and memory saving, especially in multi-image and video scenarios.
|
| 90 |
+
# model = Qwen3VLForConditionalGeneration.from_pretrained(
|
| 91 |
+
# "Qwen/Qwen3-VL-8B-Thinking",
|
| 92 |
+
# dtype=torch.bfloat16,
|
| 93 |
+
# attn_implementation="flash_attention_2",
|
| 94 |
+
# device_map="auto",
|
| 95 |
+
# )
|
| 96 |
+
|
| 97 |
+
processor = AutoProcessor.from_pretrained("Qwen/Qwen3-VL-8B-Thinking")
|
| 98 |
+
|
| 99 |
+
messages = [
|
| 100 |
+
{
|
| 101 |
+
"role": "user",
|
| 102 |
+
"content": [
|
| 103 |
+
{
|
| 104 |
+
"type": "image",
|
| 105 |
+
"image": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg",
|
| 106 |
+
},
|
| 107 |
+
{"type": "text", "text": "Describe this image."},
|
| 108 |
+
],
|
| 109 |
+
}
|
| 110 |
+
]
|
| 111 |
+
|
| 112 |
+
# Preparation for inference
|
| 113 |
+
inputs = processor.apply_chat_template(
|
| 114 |
+
messages,
|
| 115 |
+
tokenize=True,
|
| 116 |
+
add_generation_prompt=True,
|
| 117 |
+
return_dict=True,
|
| 118 |
+
return_tensors="pt"
|
| 119 |
+
)
|
| 120 |
+
inputs = inputs.to(model.device)
|
| 121 |
+
|
| 122 |
+
# Inference: Generation of the output
|
| 123 |
+
generated_ids = model.generate(**inputs, max_new_tokens=128)
|
| 124 |
+
generated_ids_trimmed = [
|
| 125 |
+
out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
|
| 126 |
+
]
|
| 127 |
+
output_text = processor.batch_decode(
|
| 128 |
+
generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
|
| 129 |
+
)
|
| 130 |
+
print(output_text)
|
| 131 |
+
```
|
| 132 |
+
|
| 133 |
+
### Generation Hyperparameters
|
| 134 |
+
#### VL
|
| 135 |
+
```bash
|
| 136 |
+
export greedy='false'
|
| 137 |
+
export top_p=0.95
|
| 138 |
+
export top_k=20
|
| 139 |
+
export repetition_penalty=1.0
|
| 140 |
+
export presence_penalty=0.0
|
| 141 |
+
export temperature=1.0
|
| 142 |
+
export out_seq_length=40960
|
| 143 |
+
```
|
| 144 |
+
|
| 145 |
+
#### Text
|
| 146 |
+
```bash
|
| 147 |
+
export greedy='false'
|
| 148 |
+
export top_p=0.95
|
| 149 |
+
export top_k=20
|
| 150 |
+
export repetition_penalty=1.0
|
| 151 |
+
export presence_penalty=1.5
|
| 152 |
+
export temperature=1.0
|
| 153 |
+
export out_seq_length=32768 (for aime, lcb, and gpqa, it is recommended to set to 81920)
|
| 154 |
+
```
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
|
| 158 |
+
## Citation
|
| 159 |
+
|
| 160 |
+
If you find our work helpful, feel free to give us a cite.
|
| 161 |
+
|
| 162 |
+
```
|
| 163 |
+
@misc{qwen3technicalreport,
|
| 164 |
+
title={Qwen3 Technical Report},
|
| 165 |
+
author={Qwen Team},
|
| 166 |
+
year={2025},
|
| 167 |
+
eprint={2505.09388},
|
| 168 |
+
archivePrefix={arXiv},
|
| 169 |
+
primaryClass={cs.CL},
|
| 170 |
+
url={https://arxiv.org/abs/2505.09388},
|
| 171 |
+
}
|
| 172 |
+
|
| 173 |
+
@article{Qwen2.5-VL,
|
| 174 |
+
title={Qwen2.5-VL Technical Report},
|
| 175 |
+
author={Bai, Shuai and Chen, Keqin and Liu, Xuejing and Wang, Jialin and Ge, Wenbin and Song, Sibo and Dang, Kai and Wang, Peng and Wang, Shijie and Tang, Jun and Zhong, Humen and Zhu, Yuanzhi and Yang, Mingkun and Li, Zhaohai and Wan, Jianqiang and Wang, Pengfei and Ding, Wei and Fu, Zheren and Xu, Yiheng and Ye, Jiabo and Zhang, Xi and Xie, Tianbao and Cheng, Zesen and Zhang, Hang and Yang, Zhibo and Xu, Haiyang and Lin, Junyang},
|
| 176 |
+
journal={arXiv preprint arXiv:2502.13923},
|
| 177 |
+
year={2025}
|
| 178 |
+
}
|
| 179 |
+
|
| 180 |
+
@article{Qwen2VL,
|
| 181 |
+
title={Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution},
|
| 182 |
+
author={Wang, Peng and Bai, Shuai and Tan, Sinan and Wang, Shijie and Fan, Zhihao and Bai, Jinze and Chen, Keqin and Liu, Xuejing and Wang, Jialin and Ge, Wenbin and Fan, Yang and Dang, Kai and Du, Mengfei and Ren, Xuancheng and Men, Rui and Liu, Dayiheng and Zhou, Chang and Zhou, Jingren and Lin, Junyang},
|
| 183 |
+
journal={arXiv preprint arXiv:2409.12191},
|
| 184 |
+
year={2024}
|
| 185 |
+
}
|
| 186 |
+
|
| 187 |
+
@article{Qwen-VL,
|
| 188 |
+
title={Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond},
|
| 189 |
+
author={Bai, Jinze and Bai, Shuai and Yang, Shusheng and Wang, Shijie and Tan, Sinan and Wang, Peng and Lin, Junyang and Zhou, Chang and Zhou, Jingren},
|
| 190 |
+
journal={arXiv preprint arXiv:2308.12966},
|
| 191 |
+
year={2023}
|
| 192 |
+
}
|
| 193 |
+
```
|
Qwen3-VL-8B-Thinking/chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count) %}\n {%- if content is string %}\n {{- content }}\n {%- else %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n{%- endmacro %}\n{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- render_content(messages[0].content, false) + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + render_content(messages[0].content, false) + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false) %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, True) %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n<think>\\n' }}\n{%- endif %}\n"
|
| 3 |
+
}
|
Qwen3-VL-8B-Thinking/config.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"image_token_id": 151655,
|
| 6 |
+
"model_type": "qwen3_vl",
|
| 7 |
+
"text_config": {
|
| 8 |
+
"attention_bias": false,
|
| 9 |
+
"attention_dropout": 0.0,
|
| 10 |
+
"bos_token_id": 151643,
|
| 11 |
+
"dtype": "bfloat16",
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"head_dim": 128,
|
| 14 |
+
"hidden_act": "silu",
|
| 15 |
+
"hidden_size": 4096,
|
| 16 |
+
"initializer_range": 0.02,
|
| 17 |
+
"intermediate_size": 12288,
|
| 18 |
+
"max_position_embeddings": 262144,
|
| 19 |
+
"model_type": "qwen3_vl_text",
|
| 20 |
+
"num_attention_heads": 32,
|
| 21 |
+
"num_hidden_layers": 36,
|
| 22 |
+
"num_key_value_heads": 8,
|
| 23 |
+
"rms_norm_eps": 1e-06,
|
| 24 |
+
"rope_scaling": {
|
| 25 |
+
"mrope_interleaved": true,
|
| 26 |
+
"mrope_section": [
|
| 27 |
+
24,
|
| 28 |
+
20,
|
| 29 |
+
20
|
| 30 |
+
],
|
| 31 |
+
"rope_type": "default"
|
| 32 |
+
},
|
| 33 |
+
"rope_theta": 5000000,
|
| 34 |
+
"use_cache": true,
|
| 35 |
+
"vocab_size": 151936
|
| 36 |
+
},
|
| 37 |
+
"tie_word_embeddings": false,
|
| 38 |
+
"transformers_version": "4.57.0.dev0",
|
| 39 |
+
"video_token_id": 151656,
|
| 40 |
+
"vision_config": {
|
| 41 |
+
"deepstack_visual_indexes": [
|
| 42 |
+
8,
|
| 43 |
+
16,
|
| 44 |
+
24
|
| 45 |
+
],
|
| 46 |
+
"depth": 27,
|
| 47 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 48 |
+
"hidden_size": 1152,
|
| 49 |
+
"in_channels": 3,
|
| 50 |
+
"initializer_range": 0.02,
|
| 51 |
+
"intermediate_size": 4304,
|
| 52 |
+
"model_type": "qwen3_vl",
|
| 53 |
+
"num_heads": 16,
|
| 54 |
+
"num_position_embeddings": 2304,
|
| 55 |
+
"out_hidden_size": 4096,
|
| 56 |
+
"patch_size": 16,
|
| 57 |
+
"spatial_merge_size": 2,
|
| 58 |
+
"temporal_patch_size": 2
|
| 59 |
+
},
|
| 60 |
+
"vision_end_token_id": 151653,
|
| 61 |
+
"vision_start_token_id": 151652
|
| 62 |
+
}
|
Qwen3-VL-8B-Thinking/generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"pad_token_id": 151643,
|
| 4 |
+
"do_sample": true,
|
| 5 |
+
"eos_token_id": [
|
| 6 |
+
151645,
|
| 7 |
+
151643
|
| 8 |
+
],
|
| 9 |
+
"top_k": 20,
|
| 10 |
+
"top_p": 0.95,
|
| 11 |
+
"repetition_penalty": 1.0,
|
| 12 |
+
"temperature": 1.0,
|
| 13 |
+
"transformers_version": "4.56.0"
|
| 14 |
+
}
|
Qwen3-VL-8B-Thinking/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen3-VL-8B-Thinking/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,757 @@
|
|
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|
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|
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|
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|
| 757 |
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|
Qwen3-VL-8B-Thinking/preprocessor_config.json
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{
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"size": {
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"longest_edge": 16777216,
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"shortest_edge": 65536
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},
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"patch_size": 16,
|
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"temporal_patch_size": 2,
|
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],
|
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"processor_class": "Qwen3VLProcessor",
|
| 20 |
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"image_processor_type": "Qwen2VLImageProcessorFast"
|
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}
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Qwen3-VL-8B-Thinking/tokenizer.json
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Qwen3-VL-8B-Thinking/tokenizer_config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count) %}\n {%- if content is string %}\n {{- content }}\n {%- else %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n{%- endmacro %}\n{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- render_content(messages[0].content, false) + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + render_content(messages[0].content, false) + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false) %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, True) %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n<think>\\n' }}\n{%- endif %}\n",
|
| 231 |
+
"clean_up_tokenization_spaces": false,
|
| 232 |
+
"eos_token": "<|im_end|>",
|
| 233 |
+
"errors": "replace",
|
| 234 |
+
"model_max_length": 262144,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"split_special_tokens": false,
|
| 237 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 238 |
+
"unk_token": null
|
| 239 |
+
}
|
Qwen3-VL-8B-Thinking/video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 25165824,
|
| 4 |
+
"shortest_edge": 4096
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
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"image_std": [
|
| 15 |
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0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
+
}
|
Qwen3-VL-8B-Thinking/vocab.json
ADDED
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SSD-1B/.gitattributes
ADDED
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
|
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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| 15 |
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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| 19 |
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*.pb filter=lfs diff=lfs merge=lfs -text
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| 20 |
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*.pickle filter=lfs diff=lfs merge=lfs -text
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| 21 |
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
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*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
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*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
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*.tar filter=lfs diff=lfs merge=lfs -text
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| 29 |
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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| 32 |
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*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
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*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
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*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
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*tfevents* filter=lfs diff=lfs merge=lfs -text
|
SSD-1B/README.md
ADDED
|
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|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- text-to-image
|
| 5 |
+
- ultra-realistic
|
| 6 |
+
- text-to-image
|
| 7 |
+
- stable-diffusion
|
| 8 |
+
- distilled-model
|
| 9 |
+
- knowledge-distillation
|
| 10 |
+
pinned: true
|
| 11 |
+
datasets:
|
| 12 |
+
- zzliang/GRIT
|
| 13 |
+
- wanng/midjourney-v5-202304-clean
|
| 14 |
+
library_name: diffusers
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
# Segmind Stable Diffusion 1B (SSD-1B) Model Card
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
## 📣 Read our [technical report](https://huggingface.co/papers/2401.02677) for more details on our disillation method
|
| 22 |
+
|
| 23 |
+
## AUTOMATIC1111 compatibility added. Supporting file [here](https://huggingface.co/segmind/SSD-1B/blob/main/SSD-1B-A1111.safetensors)
|
| 24 |
+
|
| 25 |
+
## Demo
|
| 26 |
+
|
| 27 |
+
Try out the model at [Segmind SSD-1B](https://www.segmind.com/models/ssd-1b?utm_source=hf) for ⚡ fastest inference. You can also try it on [🤗 Spaces](https://huggingface.co/spaces/segmind/Segmind-Stable-Diffusion)
|
| 28 |
+
|
| 29 |
+
## Model Description
|
| 30 |
+
|
| 31 |
+
The Segmind Stable Diffusion Model (SSD-1B) is a **distilled 50% smaller** version of the Stable Diffusion XL (SDXL), offering a **60% speedup** while maintaining high-quality text-to-image generation capabilities. It has been trained on diverse datasets, including Grit and Midjourney scrape data, to enhance its ability to create a wide range of visual content based on textual prompts.
|
| 32 |
+
|
| 33 |
+
This model employs a knowledge distillation strategy, where it leverages the teachings of several expert models in succession, including SDXL, ZavyChromaXL, and JuggernautXL, to combine their strengths and produce impressive visual outputs.
|
| 34 |
+
|
| 35 |
+
Special thanks to the HF team 🤗 especially [Sayak](https://huggingface.co/sayakpaul), [Patrick](https://github.com/patrickvonplaten) and [Poli](https://huggingface.co/multimodalart) for their collaboration and guidance on this work.
|
| 36 |
+
|
| 37 |
+
## Image Comparision (SDXL-1.0 vs SSD-1B)
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
## Usage:
|
| 42 |
+
This model can be used via the 🧨 Diffusers library.
|
| 43 |
+
|
| 44 |
+
Make sure to install diffusers from source by running
|
| 45 |
+
```
|
| 46 |
+
pip install git+https://github.com/huggingface/diffusers
|
| 47 |
+
```
|
| 48 |
+
|
| 49 |
+
In addition, please install `transformers`, `safetensors` and `accelerate`:
|
| 50 |
+
```
|
| 51 |
+
pip install transformers accelerate safetensors
|
| 52 |
+
```
|
| 53 |
+
|
| 54 |
+
To use the model, you can run the following:
|
| 55 |
+
|
| 56 |
+
```py
|
| 57 |
+
from diffusers import StableDiffusionXLPipeline
|
| 58 |
+
import torch
|
| 59 |
+
pipe = StableDiffusionXLPipeline.from_pretrained("segmind/SSD-1B", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
|
| 60 |
+
pipe.to("cuda")
|
| 61 |
+
# if using torch < 2.0
|
| 62 |
+
# pipe.enable_xformers_memory_efficient_attention()
|
| 63 |
+
prompt = "An astronaut riding a green horse" # Your prompt here
|
| 64 |
+
neg_prompt = "ugly, blurry, poor quality" # Negative prompt here
|
| 65 |
+
image = pipe(prompt=prompt, negative_prompt=neg_prompt).images[0]
|
| 66 |
+
```
|
| 67 |
+
### Update: Our model should now be usable in ComfyUI.
|
| 68 |
+
### Please do use negative prompting, and a CFG around 9.0 for the best quality!
|
| 69 |
+
### Model Description
|
| 70 |
+
|
| 71 |
+
- **Developed by:** [Segmind](https://www.segmind.com/)
|
| 72 |
+
- **Developers:** [Yatharth Gupta](https://huggingface.co/Warlord-K) and [Vishnu Jaddipal](https://huggingface.co/Icar).
|
| 73 |
+
- **Model type:** Diffusion-based text-to-image generative model
|
| 74 |
+
- **License:** Apache 2.0
|
| 75 |
+
- **Distilled From** [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Key Features
|
| 79 |
+
|
| 80 |
+
- **Text-to-Image Generation:** The model excels at generating images from text prompts, enabling a wide range of creative applications.
|
| 81 |
+
|
| 82 |
+
- **Distilled for Speed:** Designed for efficiency, this model offers a 60% speedup, making it a practical choice for real-time applications and scenarios where rapid image generation is essential.
|
| 83 |
+
|
| 84 |
+
- **Diverse Training Data:** Trained on diverse datasets, the model can handle a variety of textual prompts and generate corresponding images effectively.
|
| 85 |
+
|
| 86 |
+
- **Knowledge Distillation:** By distilling knowledge from multiple expert models, the Segmind Stable Diffusion Model combines their strengths and minimizes their limitations, resulting in improved performance.
|
| 87 |
+
|
| 88 |
+
### Model Architecture
|
| 89 |
+
|
| 90 |
+
The SSD-1B Model is a 1.3B Parameter Model which has several layers removed from the Base SDXL Model
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
### Training info
|
| 95 |
+
|
| 96 |
+
These are the key hyperparameters used during training:
|
| 97 |
+
|
| 98 |
+
* Steps: 251000
|
| 99 |
+
* Learning rate: 1e-5
|
| 100 |
+
* Batch size: 32
|
| 101 |
+
* Gradient accumulation steps: 4
|
| 102 |
+
* Image resolution: 1024
|
| 103 |
+
* Mixed-precision: fp16
|
| 104 |
+
|
| 105 |
+
### Multi-Resolution Support
|
| 106 |
+
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
SSD-1B can support the following output resolutions.
|
| 110 |
+
|
| 111 |
+
* 1024 x 1024 (1:1 Square)
|
| 112 |
+
* 1152 x 896 (9:7)
|
| 113 |
+
* 896 x 1152 (7:9)
|
| 114 |
+
* 1216 x 832 (19:13)
|
| 115 |
+
* 832 x 1216 (13:19)
|
| 116 |
+
* 1344 x 768 (7:4 Horizontal)
|
| 117 |
+
* 768 x 1344 (4:7 Vertical)
|
| 118 |
+
* 1536 x 640 (12:5 Horizontal)
|
| 119 |
+
* 640 x 1536 (5:12 Vertical)
|
| 120 |
+
|
| 121 |
+
|
| 122 |
+
### Speed Comparision
|
| 123 |
+
|
| 124 |
+
We have observed that SSD-1B is upto 60% faster than the Base SDXL Model. Below is a comparision on an A100 80GB.
|
| 125 |
+
|
| 126 |
+
|
| 127 |
+
|
| 128 |
+
Below are the speed up metrics on a RTX 4090 GPU.
|
| 129 |
+
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
### Model Sources
|
| 133 |
+
|
| 134 |
+
For research and development purposes, the SSD-1B Model can be accessed via the Segmind AI platform. For more information and access details, please visit [Segmind](https://www.segmind.com/models/ssd-1b).
|
| 135 |
+
|
| 136 |
+
## Uses
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
### Direct Use
|
| 140 |
+
|
| 141 |
+
The Segmind Stable Diffusion Model is suitable for research and practical applications in various domains, including:
|
| 142 |
+
|
| 143 |
+
- **Art and Design:** It can be used to generate artworks, designs, and other creative content, providing inspiration and enhancing the creative process.
|
| 144 |
+
|
| 145 |
+
- **Education:** The model can be applied in educational tools to create visual content for teaching and learning purposes.
|
| 146 |
+
|
| 147 |
+
- **Research:** Researchers can use the model to explore generative models, evaluate its performance, and push the boundaries of text-to-image generation.
|
| 148 |
+
|
| 149 |
+
- **Safe Content Generation:** It offers a safe and controlled way to generate content, reducing the risk of harmful or inappropriate outputs.
|
| 150 |
+
|
| 151 |
+
- **Bias and Limitation Analysis:** Researchers and developers can use the model to probe its limitations and biases, contributing to a better understanding of generative models' behavior.
|
| 152 |
+
|
| 153 |
+
### Downstream Use
|
| 154 |
+
|
| 155 |
+
The Segmind Stable Diffusion Model can also be used directly with the 🧨 Diffusers library training scripts for further training, including:
|
| 156 |
+
|
| 157 |
+
- **[LoRA](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_lora_sdxl.py):**
|
| 158 |
+
```bash
|
| 159 |
+
export MODEL_NAME="segmind/SSD-1B"
|
| 160 |
+
export VAE_NAME="madebyollin/sdxl-vae-fp16-fix"
|
| 161 |
+
export DATASET_NAME="lambdalabs/pokemon-blip-captions"
|
| 162 |
+
|
| 163 |
+
accelerate launch train_text_to_image_lora_sdxl.py \
|
| 164 |
+
--pretrained_model_name_or_path=$MODEL_NAME \
|
| 165 |
+
--pretrained_vae_model_name_or_path=$VAE_NAME \
|
| 166 |
+
--dataset_name=$DATASET_NAME --caption_column="text" \
|
| 167 |
+
--resolution=1024 --random_flip \
|
| 168 |
+
--train_batch_size=1 \
|
| 169 |
+
--num_train_epochs=2 --checkpointing_steps=500 \
|
| 170 |
+
--learning_rate=1e-04 --lr_scheduler="constant" --lr_warmup_steps=0 \
|
| 171 |
+
--mixed_precision="fp16" \
|
| 172 |
+
--seed=42 \
|
| 173 |
+
--output_dir="sd-pokemon-model-lora-ssd" \
|
| 174 |
+
--validation_prompt="cute dragon creature" --report_to="wandb" \
|
| 175 |
+
--push_to_hub
|
| 176 |
+
```
|
| 177 |
+
|
| 178 |
+
- **[Fine-Tune](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_sdxl.py):**
|
| 179 |
+
```bash
|
| 180 |
+
export MODEL_NAME="segmind/SSD-1B"
|
| 181 |
+
export VAE_NAME="madebyollin/sdxl-vae-fp16-fix"
|
| 182 |
+
export DATASET_NAME="lambdalabs/pokemon-blip-captions"
|
| 183 |
+
|
| 184 |
+
accelerate launch train_text_to_image_sdxl.py \
|
| 185 |
+
--pretrained_model_name_or_path=$MODEL_NAME \
|
| 186 |
+
--pretrained_vae_model_name_or_path=$VAE_NAME \
|
| 187 |
+
--dataset_name=$DATASET_NAME \
|
| 188 |
+
--enable_xformers_memory_efficient_attention \
|
| 189 |
+
--resolution=512 --center_crop --random_flip \
|
| 190 |
+
--proportion_empty_prompts=0.2 \
|
| 191 |
+
--train_batch_size=1 \
|
| 192 |
+
--gradient_accumulation_steps=4 --gradient_checkpointing \
|
| 193 |
+
--max_train_steps=10000 \
|
| 194 |
+
--use_8bit_adam \
|
| 195 |
+
--learning_rate=1e-06 --lr_scheduler="constant" --lr_warmup_steps=0 \
|
| 196 |
+
--mixed_precision="fp16" \
|
| 197 |
+
--report_to="wandb" \
|
| 198 |
+
--validation_prompt="a cute Sundar Pichai creature" --validation_epochs 5 \
|
| 199 |
+
--checkpointing_steps=5000 \
|
| 200 |
+
--output_dir="ssd-pokemon-model" \
|
| 201 |
+
--push_to_hub
|
| 202 |
+
```
|
| 203 |
+
- **[Dreambooth LoRA](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/train_dreambooth_lora_sdxl.py):**
|
| 204 |
+
```bash
|
| 205 |
+
export MODEL_NAME="segmind/SSD-1B"
|
| 206 |
+
export INSTANCE_DIR="dog"
|
| 207 |
+
export OUTPUT_DIR="lora-trained-xl"
|
| 208 |
+
export VAE_PATH="madebyollin/sdxl-vae-fp16-fix"
|
| 209 |
+
|
| 210 |
+
accelerate launch train_dreambooth_lora_sdxl.py \
|
| 211 |
+
--pretrained_model_name_or_path=$MODEL_NAME \
|
| 212 |
+
--instance_data_dir=$INSTANCE_DIR \
|
| 213 |
+
--pretrained_vae_model_name_or_path=$VAE_PATH \
|
| 214 |
+
--output_dir=$OUTPUT_DIR \
|
| 215 |
+
--mixed_precision="fp16" \
|
| 216 |
+
--instance_prompt="a photo of sks dog" \
|
| 217 |
+
--resolution=1024 \
|
| 218 |
+
--train_batch_size=1 \
|
| 219 |
+
--gradient_accumulation_steps=4 \
|
| 220 |
+
--learning_rate=1e-5 \
|
| 221 |
+
--report_to="wandb" \
|
| 222 |
+
--lr_scheduler="constant" \
|
| 223 |
+
--lr_warmup_steps=0 \
|
| 224 |
+
--max_train_steps=500 \
|
| 225 |
+
--validation_prompt="A photo of sks dog in a bucket" \
|
| 226 |
+
--validation_epochs=25 \
|
| 227 |
+
--seed="0" \
|
| 228 |
+
--push_to_hub
|
| 229 |
+
```
|
| 230 |
+
|
| 231 |
+
### Out-of-Scope Use
|
| 232 |
+
|
| 233 |
+
The SSD-1B Model is not suitable for creating factual or accurate representations of people, events, or real-world information. It is not intended for tasks requiring high precision and accuracy.
|
| 234 |
+
|
| 235 |
+
## Limitations and Bias
|
| 236 |
+
|
| 237 |
+
Limitations & Bias
|
| 238 |
+
The SSD-1B Model has some challenges in embodying absolute photorealism, especially in human depictions. While it grapples with incorporating clear text and maintaining the fidelity of complex compositions due to its autoencoding approach, these hurdles pave the way for future enhancements. Importantly, the model's exposure to a diverse dataset, though not a panacea for ingrained societal and digital biases, represents a foundational step towards more equitable technology. Users are encouraged to interact with this pioneering tool with an understanding of its current limitations, fostering an environment of conscious engagement and anticipation for its continued evolution.
|
| 239 |
+
|
| 240 |
+
## Citation
|
| 241 |
+
```
|
| 242 |
+
@misc{gupta2024progressive,
|
| 243 |
+
title={Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss},
|
| 244 |
+
author={Yatharth Gupta and Vishnu V. Jaddipal and Harish Prabhala and Sayak Paul and Patrick Von Platen},
|
| 245 |
+
year={2024},
|
| 246 |
+
eprint={2401.02677},
|
| 247 |
+
archivePrefix={arXiv},
|
| 248 |
+
primaryClass={cs.CV}
|
| 249 |
+
}
|
| 250 |
+
```
|
SSD-1B/model_index.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "StableDiffusionXLPipeline",
|
| 3 |
+
"_diffusers_version": "0.19.0",
|
| 4 |
+
"force_zeros_for_empty_prompt": true,
|
| 5 |
+
"scheduler": [
|
| 6 |
+
"diffusers",
|
| 7 |
+
"EulerDiscreteScheduler"
|
| 8 |
+
],
|
| 9 |
+
"text_encoder": [
|
| 10 |
+
"transformers",
|
| 11 |
+
"CLIPTextModel"
|
| 12 |
+
],
|
| 13 |
+
"text_encoder_2": [
|
| 14 |
+
"transformers",
|
| 15 |
+
"CLIPTextModelWithProjection"
|
| 16 |
+
],
|
| 17 |
+
"tokenizer": [
|
| 18 |
+
"transformers",
|
| 19 |
+
"CLIPTokenizer"
|
| 20 |
+
],
|
| 21 |
+
"tokenizer_2": [
|
| 22 |
+
"transformers",
|
| 23 |
+
"CLIPTokenizer"
|
| 24 |
+
],
|
| 25 |
+
"unet": [
|
| 26 |
+
"diffusers",
|
| 27 |
+
"UNet2DConditionModel"
|
| 28 |
+
],
|
| 29 |
+
"vae": [
|
| 30 |
+
"diffusers",
|
| 31 |
+
"AutoencoderKL"
|
| 32 |
+
]
|
| 33 |
+
}
|
Wan2.1-Distill-Loras/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
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|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
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*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
Wan2.1-Distill-Loras/README.md
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- diffusion-single-file
|
| 5 |
+
- comfyui
|
| 6 |
+
- distillation
|
| 7 |
+
- LoRA
|
| 8 |
+
- video
|
| 9 |
+
- video genration
|
| 10 |
+
base_model:
|
| 11 |
+
- Wan-AI/Wan2.1-T2V-14B
|
| 12 |
+
- Wan-AI/Wan2.1-I2V-14B-480P
|
| 13 |
+
- Wan-AI/Wan2.1-I2V-14B-720P
|
| 14 |
+
library_name: diffusers
|
| 15 |
+
---
|
controlnet-depth-sdxl-1.0/.gitattributes
ADDED
|
@@ -0,0 +1,36 @@
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|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
spiderman.png filter=lfs diff=lfs merge=lfs -text
|
controlnet-depth-sdxl-1.0/README.md
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
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|
|
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|
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|
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|
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|
|
|
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|
|
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|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
---
|
| 3 |
+
license: openrail++
|
| 4 |
+
base_model: stabilityai/stable-diffusion-xl-base-1.0
|
| 5 |
+
tags:
|
| 6 |
+
- stable-diffusion-xl
|
| 7 |
+
- stable-diffusion-xl-diffusers
|
| 8 |
+
- text-to-image
|
| 9 |
+
- diffusers
|
| 10 |
+
- controlnet
|
| 11 |
+
inference: false
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# SDXL-controlnet: Depth
|
| 15 |
+
|
| 16 |
+
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with depth conditioning. You can find some example images in the following.
|
| 17 |
+
|
| 18 |
+
prompt: spiderman lecture, photorealistic
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
## Usage
|
| 22 |
+
|
| 23 |
+
Make sure to first install the libraries:
|
| 24 |
+
|
| 25 |
+
```bash
|
| 26 |
+
pip install accelerate transformers safetensors diffusers
|
| 27 |
+
```
|
| 28 |
+
|
| 29 |
+
And then we're ready to go:
|
| 30 |
+
|
| 31 |
+
```python
|
| 32 |
+
import torch
|
| 33 |
+
import numpy as np
|
| 34 |
+
from PIL import Image
|
| 35 |
+
|
| 36 |
+
from transformers import DPTFeatureExtractor, DPTForDepthEstimation
|
| 37 |
+
from diffusers import ControlNetModel, StableDiffusionXLControlNetPipeline, AutoencoderKL
|
| 38 |
+
from diffusers.utils import load_image
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
depth_estimator = DPTForDepthEstimation.from_pretrained("Intel/dpt-hybrid-midas").to("cuda")
|
| 42 |
+
feature_extractor = DPTFeatureExtractor.from_pretrained("Intel/dpt-hybrid-midas")
|
| 43 |
+
controlnet = ControlNetModel.from_pretrained(
|
| 44 |
+
"diffusers/controlnet-depth-sdxl-1.0",
|
| 45 |
+
variant="fp16",
|
| 46 |
+
use_safetensors=True,
|
| 47 |
+
torch_dtype=torch.float16,
|
| 48 |
+
)
|
| 49 |
+
vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
|
| 50 |
+
pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
|
| 51 |
+
"stabilityai/stable-diffusion-xl-base-1.0",
|
| 52 |
+
controlnet=controlnet,
|
| 53 |
+
vae=vae,
|
| 54 |
+
variant="fp16",
|
| 55 |
+
use_safetensors=True,
|
| 56 |
+
torch_dtype=torch.float16,
|
| 57 |
+
)
|
| 58 |
+
pipe.enable_model_cpu_offload()
|
| 59 |
+
|
| 60 |
+
def get_depth_map(image):
|
| 61 |
+
image = feature_extractor(images=image, return_tensors="pt").pixel_values.to("cuda")
|
| 62 |
+
with torch.no_grad(), torch.autocast("cuda"):
|
| 63 |
+
depth_map = depth_estimator(image).predicted_depth
|
| 64 |
+
|
| 65 |
+
depth_map = torch.nn.functional.interpolate(
|
| 66 |
+
depth_map.unsqueeze(1),
|
| 67 |
+
size=(1024, 1024),
|
| 68 |
+
mode="bicubic",
|
| 69 |
+
align_corners=False,
|
| 70 |
+
)
|
| 71 |
+
depth_min = torch.amin(depth_map, dim=[1, 2, 3], keepdim=True)
|
| 72 |
+
depth_max = torch.amax(depth_map, dim=[1, 2, 3], keepdim=True)
|
| 73 |
+
depth_map = (depth_map - depth_min) / (depth_max - depth_min)
|
| 74 |
+
image = torch.cat([depth_map] * 3, dim=1)
|
| 75 |
+
|
| 76 |
+
image = image.permute(0, 2, 3, 1).cpu().numpy()[0]
|
| 77 |
+
image = Image.fromarray((image * 255.0).clip(0, 255).astype(np.uint8))
|
| 78 |
+
return image
|
| 79 |
+
|
| 80 |
+
|
| 81 |
+
prompt = "stormtrooper lecture, photorealistic"
|
| 82 |
+
image = load_image("https://huggingface.co/lllyasviel/sd-controlnet-depth/resolve/main/images/stormtrooper.png")
|
| 83 |
+
controlnet_conditioning_scale = 0.5 # recommended for good generalization
|
| 84 |
+
|
| 85 |
+
depth_image = get_depth_map(image)
|
| 86 |
+
|
| 87 |
+
images = pipe(
|
| 88 |
+
prompt, image=depth_image, num_inference_steps=30, controlnet_conditioning_scale=controlnet_conditioning_scale,
|
| 89 |
+
).images
|
| 90 |
+
images[0]
|
| 91 |
+
|
| 92 |
+
images[0].save(f"stormtrooper.png")
|
| 93 |
+
```
|
| 94 |
+
|
| 95 |
+
For more details, check out the official documentation of [`StableDiffusionXLControlNetPipeline`](https://huggingface.co/docs/diffusers/main/en/api/pipelines/controlnet_sdxl).
|
| 96 |
+
|
| 97 |
+
### Training
|
| 98 |
+
|
| 99 |
+
Our training script was built on top of the official training script that we provide [here](https://github.com/huggingface/diffusers/blob/main/examples/controlnet/README_sdxl.md).
|
| 100 |
+
|
| 101 |
+
#### Training data and Compute
|
| 102 |
+
The model is trained on 3M image-text pairs from LAION-Aesthetics V2. The model is trained for 700 GPU hours on 80GB A100 GPUs.
|
| 103 |
+
|
| 104 |
+
#### Batch size
|
| 105 |
+
Data parallel with a single GPU batch size of 8 for a total batch size of 256.
|
| 106 |
+
|
| 107 |
+
#### Hyper Parameters
|
| 108 |
+
The constant learning rate of 1e-5.
|
| 109 |
+
|
| 110 |
+
#### Mixed precision
|
| 111 |
+
fp16
|
controlnet-depth-sdxl-1.0/config.json
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "ControlNetModel",
|
| 3 |
+
"_diffusers_version": "0.20.0.dev0",
|
| 4 |
+
"_name_or_path": "valhalla/depth-2",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"addition_embed_type": "text_time",
|
| 7 |
+
"addition_embed_type_num_heads": 64,
|
| 8 |
+
"addition_time_embed_dim": 256,
|
| 9 |
+
"attention_head_dim": [
|
| 10 |
+
5,
|
| 11 |
+
10,
|
| 12 |
+
20
|
| 13 |
+
],
|
| 14 |
+
"block_out_channels": [
|
| 15 |
+
320,
|
| 16 |
+
640,
|
| 17 |
+
1280
|
| 18 |
+
],
|
| 19 |
+
"class_embed_type": null,
|
| 20 |
+
"conditioning_channels": 3,
|
| 21 |
+
"conditioning_embedding_out_channels": [
|
| 22 |
+
16,
|
| 23 |
+
32,
|
| 24 |
+
96,
|
| 25 |
+
256
|
| 26 |
+
],
|
| 27 |
+
"controlnet_conditioning_channel_order": "rgb",
|
| 28 |
+
"cross_attention_dim": 2048,
|
| 29 |
+
"down_block_types": [
|
| 30 |
+
"DownBlock2D",
|
| 31 |
+
"CrossAttnDownBlock2D",
|
| 32 |
+
"CrossAttnDownBlock2D"
|
| 33 |
+
],
|
| 34 |
+
"downsample_padding": 1,
|
| 35 |
+
"encoder_hid_dim": null,
|
| 36 |
+
"encoder_hid_dim_type": null,
|
| 37 |
+
"flip_sin_to_cos": true,
|
| 38 |
+
"freq_shift": 0,
|
| 39 |
+
"global_pool_conditions": false,
|
| 40 |
+
"in_channels": 4,
|
| 41 |
+
"layers_per_block": 2,
|
| 42 |
+
"mid_block_scale_factor": 1,
|
| 43 |
+
"norm_eps": 1e-05,
|
| 44 |
+
"norm_num_groups": 32,
|
| 45 |
+
"num_attention_heads": null,
|
| 46 |
+
"num_class_embeds": null,
|
| 47 |
+
"only_cross_attention": false,
|
| 48 |
+
"projection_class_embeddings_input_dim": 2816,
|
| 49 |
+
"resnet_time_scale_shift": "default",
|
| 50 |
+
"transformer_layers_per_block": [
|
| 51 |
+
1,
|
| 52 |
+
2,
|
| 53 |
+
10
|
| 54 |
+
],
|
| 55 |
+
"upcast_attention": null,
|
| 56 |
+
"use_linear_projection": true
|
| 57 |
+
}
|
lcm-sdxl/.gitattributes
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
image.png filter=lfs diff=lfs merge=lfs -text
|
lcm-sdxl/README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: diffusers
|
| 3 |
+
base_model: stabilityai/stable-diffusion-xl-base-1.0
|
| 4 |
+
tags:
|
| 5 |
+
- text-to-image
|
| 6 |
+
license: openrail++
|
| 7 |
+
inference: false
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Latent Consistency Model (LCM): SDXL
|
| 11 |
+
|
| 12 |
+
Latent Consistency Model (LCM) was proposed in [Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference](https://arxiv.org/abs/2310.04378)
|
| 13 |
+
by *Simian Luo, Yiqin Tan et al.* and [Simian Luo](https://huggingface.co/SimianLuo), [Suraj Patil](https://huggingface.co/valhalla), and [Daniel Gu](https://huggingface.co/dg845)
|
| 14 |
+
succesfully applied the same approach to create LCM for SDXL.
|
| 15 |
+
|
| 16 |
+
This checkpoint is a LCM distilled version of [`stable-diffusion-xl-base-1.0`](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) that allows
|
| 17 |
+
to reduce the number of inference steps to only between **2 - 8 steps**.
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Usage
|
| 21 |
+
|
| 22 |
+
LCM SDXL is supported in 🤗 Hugging Face Diffusers library from version v0.23.0 onwards. To run the model, first
|
| 23 |
+
install the latest version of the Diffusers library as well as `peft`, `accelerate` and `transformers`.
|
| 24 |
+
audio dataset from the Hugging Face Hub:
|
| 25 |
+
|
| 26 |
+
```bash
|
| 27 |
+
pip install --upgrade pip
|
| 28 |
+
pip install --upgrade diffusers transformers accelerate peft
|
| 29 |
+
```
|
| 30 |
+
|
| 31 |
+
### Text-to-Image
|
| 32 |
+
|
| 33 |
+
The model can be loaded with it's base pipeline `stabilityai/stable-diffusion-xl-base-1.0`. Next, the scheduler needs to be changed to [`LCMScheduler`](https://huggingface.co/docs/diffusers/v0.22.3/en/api/schedulers/lcm#diffusers.LCMScheduler) and we can reduce the number of inference steps to just 2 to 8 steps.
|
| 34 |
+
Please make sure to either disable `guidance_scale` or use values between 1.0 and 2.0.
|
| 35 |
+
|
| 36 |
+
```python
|
| 37 |
+
from diffusers import UNet2DConditionModel, DiffusionPipeline, LCMScheduler
|
| 38 |
+
import torch
|
| 39 |
+
|
| 40 |
+
unet = UNet2DConditionModel.from_pretrained("latent-consistency/lcm-sdxl", torch_dtype=torch.float16, variant="fp16")
|
| 41 |
+
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", unet=unet, torch_dtype=torch.float16, variant="fp16")
|
| 42 |
+
|
| 43 |
+
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
|
| 44 |
+
pipe.to("cuda")
|
| 45 |
+
|
| 46 |
+
prompt = "a close-up picture of an old man standing in the rain"
|
| 47 |
+
|
| 48 |
+
image = pipe(prompt, num_inference_steps=4, guidance_scale=8.0).images[0]
|
| 49 |
+
```
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
### Image-to-Image
|
| 54 |
+
|
| 55 |
+
Works as well! TODO docs
|
| 56 |
+
|
| 57 |
+
### Inpainting
|
| 58 |
+
|
| 59 |
+
Works as well! TODO docs
|
| 60 |
+
|
| 61 |
+
### ControlNet
|
| 62 |
+
|
| 63 |
+
Works as well! TODO docs
|
| 64 |
+
|
| 65 |
+
### T2I Adapter
|
| 66 |
+
|
| 67 |
+
Works as well! TODO docs
|
| 68 |
+
|
| 69 |
+
## Speed Benchmark
|
| 70 |
+
|
| 71 |
+
TODO
|
| 72 |
+
|
| 73 |
+
## Training
|
| 74 |
+
|
| 75 |
+
TODO
|
lcm-sdxl/config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DConditionModel",
|
| 3 |
+
"_diffusers_version": "0.23.0.dev0",
|
| 4 |
+
"_name_or_path": "/home/patrick/lcm-sdxl-base-1.0",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"addition_embed_type": "text_time",
|
| 7 |
+
"addition_embed_type_num_heads": 64,
|
| 8 |
+
"addition_time_embed_dim": 256,
|
| 9 |
+
"attention_head_dim": [
|
| 10 |
+
5,
|
| 11 |
+
10,
|
| 12 |
+
20
|
| 13 |
+
],
|
| 14 |
+
"attention_type": "default",
|
| 15 |
+
"block_out_channels": [
|
| 16 |
+
320,
|
| 17 |
+
640,
|
| 18 |
+
1280
|
| 19 |
+
],
|
| 20 |
+
"center_input_sample": false,
|
| 21 |
+
"class_embed_type": null,
|
| 22 |
+
"class_embeddings_concat": false,
|
| 23 |
+
"conv_in_kernel": 3,
|
| 24 |
+
"conv_out_kernel": 3,
|
| 25 |
+
"cross_attention_dim": 2048,
|
| 26 |
+
"cross_attention_norm": null,
|
| 27 |
+
"down_block_types": [
|
| 28 |
+
"DownBlock2D",
|
| 29 |
+
"CrossAttnDownBlock2D",
|
| 30 |
+
"CrossAttnDownBlock2D"
|
| 31 |
+
],
|
| 32 |
+
"downsample_padding": 1,
|
| 33 |
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"dropout": 0.0,
|
| 34 |
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"dual_cross_attention": false,
|
| 35 |
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"encoder_hid_dim": null,
|
| 36 |
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"encoder_hid_dim_type": null,
|
| 37 |
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"flip_sin_to_cos": true,
|
| 38 |
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"freq_shift": 0,
|
| 39 |
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"in_channels": 4,
|
| 40 |
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"layers_per_block": 2,
|
| 41 |
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"mid_block_only_cross_attention": null,
|
| 42 |
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"mid_block_scale_factor": 1,
|
| 43 |
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"mid_block_type": "UNetMidBlock2DCrossAttn",
|
| 44 |
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"norm_eps": 1e-05,
|
| 45 |
+
"norm_num_groups": 32,
|
| 46 |
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"num_attention_heads": null,
|
| 47 |
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"num_class_embeds": null,
|
| 48 |
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"only_cross_attention": false,
|
| 49 |
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"out_channels": 4,
|
| 50 |
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"projection_class_embeddings_input_dim": 2816,
|
| 51 |
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"resnet_out_scale_factor": 1.0,
|
| 52 |
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"resnet_skip_time_act": false,
|
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"resnet_time_scale_shift": "default",
|
| 54 |
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"reverse_transformer_layers_per_block": null,
|
| 55 |
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"sample_size": 128,
|
| 56 |
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"time_cond_proj_dim": 256,
|
| 57 |
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"time_embedding_act_fn": null,
|
| 58 |
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"time_embedding_dim": null,
|
| 59 |
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"time_embedding_type": "positional",
|
| 60 |
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"timestep_post_act": null,
|
| 61 |
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"transformer_layers_per_block": [
|
| 62 |
+
1,
|
| 63 |
+
2,
|
| 64 |
+
10
|
| 65 |
+
],
|
| 66 |
+
"up_block_types": [
|
| 67 |
+
"CrossAttnUpBlock2D",
|
| 68 |
+
"CrossAttnUpBlock2D",
|
| 69 |
+
"UpBlock2D"
|
| 70 |
+
],
|
| 71 |
+
"upcast_attention": null,
|
| 72 |
+
"use_linear_projection": true
|
| 73 |
+
}
|
sd-vae-ft-ema/.gitattributes
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text
|
sd-vae-ft-ema/README.md
ADDED
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| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- stable-diffusion
|
| 5 |
+
- stable-diffusion-diffusers
|
| 6 |
+
inference: false
|
| 7 |
+
---
|
| 8 |
+
# Improved Autoencoders
|
| 9 |
+
|
| 10 |
+
## Utilizing
|
| 11 |
+
These weights are intended to be used with the [🧨 diffusers library](https://github.com/huggingface/diffusers). If you are looking for the model to use with the original [CompVis Stable Diffusion codebase](https://github.com/CompVis/stable-diffusion), [come here](https://huggingface.co/stabilityai/sd-vae-ft-ema-original).
|
| 12 |
+
|
| 13 |
+
#### How to use with 🧨 diffusers
|
| 14 |
+
You can integrate this fine-tuned VAE decoder to your existing `diffusers` workflows, by including a `vae` argument to the `StableDiffusionPipeline`
|
| 15 |
+
```py
|
| 16 |
+
from diffusers.models import AutoencoderKL
|
| 17 |
+
from diffusers import StableDiffusionPipeline
|
| 18 |
+
|
| 19 |
+
model = "CompVis/stable-diffusion-v1-4"
|
| 20 |
+
vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-ema")
|
| 21 |
+
pipe = StableDiffusionPipeline.from_pretrained(model, vae=vae)
|
| 22 |
+
```
|
| 23 |
+
|
| 24 |
+
## Decoder Finetuning
|
| 25 |
+
We publish two kl-f8 autoencoder versions, finetuned from the original [kl-f8 autoencoder](https://github.com/CompVis/latent-diffusion#pretrained-autoencoding-models) on a 1:1 ratio of [LAION-Aesthetics](https://laion.ai/blog/laion-aesthetics/) and LAION-Humans, an unreleased subset containing only SFW images of humans. The intent was to fine-tune on the Stable Diffusion training set (the autoencoder was originally trained on OpenImages) but also enrich the dataset with images of humans to improve the reconstruction of faces.
|
| 26 |
+
The first, _ft-EMA_, was resumed from the original checkpoint, trained for 313198 steps and uses EMA weights. It uses the same loss configuration as the original checkpoint (L1 + LPIPS).
|
| 27 |
+
The second, _ft-MSE_, was resumed from _ft-EMA_ and uses EMA weights and was trained for another 280k steps using a different loss, with more emphasis
|
| 28 |
+
on MSE reconstruction (MSE + 0.1 * LPIPS). It produces somewhat ``smoother'' outputs. The batch size for both versions was 192 (16 A100s, batch size 12 per GPU).
|
| 29 |
+
To keep compatibility with existing models, only the decoder part was finetuned; the checkpoints can be used as a drop-in replacement for the existing autoencoder.
|
| 30 |
+
|
| 31 |
+
_Original kl-f8 VAE vs f8-ft-EMA vs f8-ft-MSE_
|
| 32 |
+
|
| 33 |
+
## Evaluation
|
| 34 |
+
### COCO 2017 (256x256, val, 5000 images)
|
| 35 |
+
| Model | train steps | rFID | PSNR | SSIM | PSIM | Link | Comments
|
| 36 |
+
|----------|---------|------|--------------|---------------|---------------|-----------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------|
|
| 37 |
+
| | | | | | | | |
|
| 38 |
+
| original | 246803 | 4.99 | 23.4 +/- 3.8 | 0.69 +/- 0.14 | 1.01 +/- 0.28 | https://ommer-lab.com/files/latent-diffusion/kl-f8.zip | as used in SD |
|
| 39 |
+
| ft-EMA | 560001 | 4.42 | 23.8 +/- 3.9 | 0.69 +/- 0.13 | 0.96 +/- 0.27 | https://huggingface.co/stabilityai/sd-vae-ft-ema-original/resolve/main/vae-ft-ema-560000-ema-pruned.ckpt | slightly better overall, with EMA |
|
| 40 |
+
| ft-MSE | 840001 | 4.70 | 24.5 +/- 3.7 | 0.71 +/- 0.13 | 0.92 +/- 0.27 | https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt | resumed with EMA from ft-EMA, emphasis on MSE (rec. loss = MSE + 0.1 * LPIPS), smoother outputs |
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
### LAION-Aesthetics 5+ (256x256, subset, 10000 images)
|
| 44 |
+
| Model | train steps | rFID | PSNR | SSIM | PSIM | Link | Comments
|
| 45 |
+
|----------|-----------|------|--------------|---------------|---------------|-----------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------|
|
| 46 |
+
| | | | | | | | |
|
| 47 |
+
| original | 246803 | 2.61 | 26.0 +/- 4.4 | 0.81 +/- 0.12 | 0.75 +/- 0.36 | https://ommer-lab.com/files/latent-diffusion/kl-f8.zip | as used in SD |
|
| 48 |
+
| ft-EMA | 560001 | 1.77 | 26.7 +/- 4.8 | 0.82 +/- 0.12 | 0.67 +/- 0.34 | https://huggingface.co/stabilityai/sd-vae-ft-ema-original/resolve/main/vae-ft-ema-560000-ema-pruned.ckpt | slightly better overall, with EMA |
|
| 49 |
+
| ft-MSE | 840001 | 1.88 | 27.3 +/- 4.7 | 0.83 +/- 0.11 | 0.65 +/- 0.34 | https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt | resumed with EMA from ft-EMA, emphasis on MSE (rec. loss = MSE + 0.1 * LPIPS), smoother outputs |
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
### Visual
|
| 53 |
+
_Visualization of reconstructions on 256x256 images from the COCO2017 validation dataset._
|
| 54 |
+
|
| 55 |
+
<p align="center">
|
| 56 |
+
<br>
|
| 57 |
+
<b>
|
| 58 |
+
256x256: ft-EMA (left), ft-MSE (middle), original (right)</b>
|
| 59 |
+
</p>
|
| 60 |
+
|
| 61 |
+
<p align="center">
|
| 62 |
+
<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00025_merged.png />
|
| 63 |
+
</p>
|
| 64 |
+
|
| 65 |
+
<p align="center">
|
| 66 |
+
<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00011_merged.png />
|
| 67 |
+
</p>
|
| 68 |
+
|
| 69 |
+
<p align="center">
|
| 70 |
+
<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00037_merged.png />
|
| 71 |
+
</p>
|
| 72 |
+
|
| 73 |
+
<p align="center">
|
| 74 |
+
<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00043_merged.png />
|
| 75 |
+
</p>
|
| 76 |
+
|
| 77 |
+
<p align="center">
|
| 78 |
+
<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00053_merged.png />
|
| 79 |
+
</p>
|
| 80 |
+
|
| 81 |
+
<p align="center">
|
| 82 |
+
<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00029_merged.png />
|
| 83 |
+
</p>
|
sd-vae-ft-ema/config.json
ADDED
|
@@ -0,0 +1,29 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKL",
|
| 3 |
+
"_diffusers_version": "0.4.2",
|
| 4 |
+
"act_fn": "silu",
|
| 5 |
+
"block_out_channels": [
|
| 6 |
+
128,
|
| 7 |
+
256,
|
| 8 |
+
512,
|
| 9 |
+
512
|
| 10 |
+
],
|
| 11 |
+
"down_block_types": [
|
| 12 |
+
"DownEncoderBlock2D",
|
| 13 |
+
"DownEncoderBlock2D",
|
| 14 |
+
"DownEncoderBlock2D",
|
| 15 |
+
"DownEncoderBlock2D"
|
| 16 |
+
],
|
| 17 |
+
"in_channels": 3,
|
| 18 |
+
"latent_channels": 4,
|
| 19 |
+
"layers_per_block": 2,
|
| 20 |
+
"norm_num_groups": 32,
|
| 21 |
+
"out_channels": 3,
|
| 22 |
+
"sample_size": 256,
|
| 23 |
+
"up_block_types": [
|
| 24 |
+
"UpDecoderBlock2D",
|
| 25 |
+
"UpDecoderBlock2D",
|
| 26 |
+
"UpDecoderBlock2D",
|
| 27 |
+
"UpDecoderBlock2D"
|
| 28 |
+
]
|
| 29 |
+
}
|