Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- README.md +141 -3
- model_index.json +33 -0
- processor/chat_template.jinja +13 -0
- processor/preprocessor_config.json +16 -0
- processor/tokenizer.json +3 -0
- processor/tokenizer_config.json +222 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +32 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/added_tokens.json +127 -0
- tokenizer/special_tokens_map.json +150 -0
- tokenizer/tokenizer_config.json +1163 -0
- transformer/config.json +14 -0
- transformer/diffusion_pytorch_model-00001-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model-00003-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +450 -0
- vae/config.json +71 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
- vision_language_encoder/config.json +61 -0
- vision_language_encoder/model-00001-of-00004.safetensors +3 -0
- vision_language_encoder/model-00002-of-00004.safetensors +3 -0
- vision_language_encoder/model-00003-of-00004.safetensors +3 -0
- vision_language_encoder/model-00004-of-00004.safetensors +3 -0
- vision_language_encoder/model.safetensors.index.json +1018 -0
.gitattributes
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processor/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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---
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license: mit
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language:
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- zh
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- en
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library_name: diffusers
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---
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# GLM-Image
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<div align="center">
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<img src=https://raw.githubusercontent.com/zai-org/GLM-Image/refs/heads/main/resources/logo.svg width="40%"/>
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</div>
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<p align="center">
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👋 Join our <a href="https://raw.githubusercontent.com/zai-org/GLM-Image/refs/heads/main/resources/wechat.jpeg" target="_blank">WeChat</a> and <a href="https://t.co/b6zGxJvzzS" target="_blank">Discord</a> community
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<br>
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📖 Check out GLM-Image's <a href="https://z.ai/blog/glm-image" target="_blank">Technical Blog</a>
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<br>
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📍 Use GLM-Image's <a href="https://docs.z.ai/guides/image/glm-image" target="_blank">API</a>
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</p>
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+
GLM-Image is an image generation model adopts a hybrid autoregressive + diffusion decoder architecture, effectively pushing the upper bound of visual fidelity and fine-grained details. In general image generation quality, it aligns with industry-standard LDM-based approaches, while demonstrating significant advantages in knowledge-intensive image generation scenarios.
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<div style="display: flex; justify-content: space-around;">
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<img src="https://raw.githubusercontent.com/zai-org/GLM-Image/refs/heads/main/resources/show_case.jpeg" width="45%"/>
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<img src="https://raw.githubusercontent.com/zai-org/GLM-Image/refs/heads/main/resources/show_case_t2i.jpe" width="45%"/>
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</div>
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Model architecture: a hybrid autoregressive + diffusion decoder design
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+ Autoregressive generator: a 9B-parameter model initialized
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+
from [GLM-4-9B-0414](https://huggingface.co/zai-org/GLM-4-9B-0414), with an expanded vocabulary to incorporate visual tokens. The model first generates a compact encoding of approximately 256 tokens, then expands to 1K–4K tokens, corresponding to 1K–2K high-resolution image outputs.
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+ Diffusion Decoder: a 7B-parameter decoder based on a single-stream DiT architecture for latent-space image decoding. It is equipped with a Glyph Encoder text module, significantly improving accurate text rendering within images.
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+
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+
Post-training with decoupled reinforcement learning: the model introduces a fine-grained, modular feedback strategy using the GRPO algorithm, substantially enhancing both semantic understanding and visual detail quality.
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+
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+ Autoregressive module: provides low-frequency feedback signals focused on aesthetics and semantic alignment, improving instruction following and artistic expressiveness.
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+ Decoder module: delivers high-frequency feedback targeting detail fidelity and text accuracy, resulting in highly realistic textures, lighting, and color reproduction, as well as more precise text rendering.
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+
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+
GLM-Image supports both text-to-image and image-to-image generation within a single model
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+
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+ Text-to-image: generates high-detail images from textual descriptions, with particularly strong performance in information-dense scenarios.
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+ Image-to-image: supports a wide range of tasks, including image editing, style transfer, multi-subject consistency, and identity-preserving generation for people and objects.
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+
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+
## Quick Start
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+
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### transformers + diffusers Pipeline
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Install transformers and diffusers from source:
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```shell
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pip install git+https://github.com/huggingface/transformers.git
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pip install git+https://github.com/huggingface/diffusers.git
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```
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+ Text to Image Generation
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+
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```python
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import torch
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from diffusers.pipelines.glm_image import GlmImagePipeline
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pipe = GlmImagePipeline.from_pretrained("zai-org/GLM-Image", torch_dtype=torch.bfloat16, device_map="cuda")
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prompt = "A beautifully designed modern food magazine style dessert recipe illustration, themed around a raspberry mousse cake. The overall layout is clean and bright, divided into four main areas: the top left features a bold black title 'Raspberry Mousse Cake Recipe Guide', with a soft-lit close-up photo of the finished cake on the right, showcasing a light pink cake adorned with fresh raspberries and mint leaves; the bottom left contains an ingredient list section, titled 'Ingredients' in a simple font, listing 'Flour 150g', 'Eggs 3', 'Sugar 120g', 'Raspberry puree 200g', 'Gelatin sheets 10g', 'Whipping cream 300ml', and 'Fresh raspberries', each accompanied by minimalist line icons (like a flour bag, eggs, sugar jar, etc.); the bottom right displays four equally sized step boxes, each containing high-definition macro photos and corresponding instructions, arranged from top to bottom as follows: Step 1 shows a whisk whipping white foam (with the instruction 'Whip egg whites to stiff peaks'), Step 2 shows a red-and-white mixture being folded with a spatula (with the instruction 'Gently fold in the puree and batter'), Step 3 shows pink liquid being poured into a round mold (with the instruction 'Pour into mold and chill for 4 hours'), Step 4 shows the finished cake decorated with raspberries and mint leaves (with the instruction 'Decorate with raspberries and mint'); a light brown information bar runs along the bottom edge, with icons on the left representing 'Preparation time: 30 minutes', 'Cooking time: 20 minutes', and 'Servings: 8'. The overall color scheme is dominated by creamy white and light pink, with a subtle paper texture in the background, featuring compact and orderly text and image layout with clear information hierarchy."
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image = pipe(
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prompt=prompt,
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height=32 * 32,
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width=36 * 32,
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num_inference_steps=30,
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guidance_scale=1.5,
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generator=torch.Generator(device="cuda").manual_seed(42),
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).images[0]
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image.save("output_t2i.png")
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```
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+ Image to Image Generation
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+
|
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```python
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| 79 |
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import torch
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from diffusers.pipelines.glm_image import GlmImagePipeline
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from PIL import Image
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| 82 |
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pipe = GlmImagePipeline.from_pretrained("zai-org/GLM-Image", torch_dtype=torch.bfloat16, device_map="cuda")
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image_path = "cond.jpg"
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prompt = "Replace the background of the snow forest with an underground station featuring an automatic escalator."
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image = Image.open(image_path).convert("RGB")
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image = pipe(
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prompt=prompt,
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image=[image], # can input multiple images for multi-image-to-image generation such as [image, image1]
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height=33 * 32,
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width=32 * 32,
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num_inference_steps=30,
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guidance_scale=1.5,
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generator=torch.Generator(device="cuda").manual_seed(42),
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).images[0]
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image.save("output_i2i.png")
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```
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+ Since the AR model used in GLM-Image is configured with `do_sample=True` and a temperature of `0.95` by default, the generated images can vary significantly across runs. We do not recommend setting do_sample=False, as this may lead to incorrect or degenerate outputs from the AR model.
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### Prompt Enhancement for Generation
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We use GLM-4.7 to improve prompt, Please check our [github script](https://github.com/zai-org/GLM-Image/blob/main/examples/prompt_utils.py) for more details.
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## Model Performance
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### Text Rendering
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| **Model** | **Open Source** | **LongText-Bench-EN** | **LongText-Bench-ZH** | **CVTG-2K (Acc)** | **CVTG-2K (NED)** | **CVTG-2K (CLIPScore)** |
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|:------------------:|:---------------:|:---------------------:|:---------------------:|:-----------------:|:-----------------:|:-----------------------:|
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| Seedream 4.5 | ✗ | 0.989 | 0.987 | 0.8990 | 0.9483 | **0.8069** |
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| Seedream 4.0 | ✗ | 0.921 | 0.926 | 0.8451 | 0.9224 | 0.7975 |
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| Nano Banana 2.0 | ✗ | 0.981 | 0.949 | 0.7788 | 0.8754 | 0.7372 |
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| GPT Image 1 [High] | ✗ | 0.956 | 0.619 | 0.8569 | 0.9478 | 0.7982 |
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| Qwen-Image | ✓ | 0.943 | 0.946 | 0.8288 | 0.9116 | 0.8017 |
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| Qwen-Image-2512 | ✓ | 0.956 | 0.965 | 0.8604 | 0.9290 | 0.7819 |
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| 118 |
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| Z-Image | ✓ | 0.935 | 0.936 | 0.8671 | 0.9367 | 0.7969 |
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| Z-Image-Turbo | ✓ | 0.917 | 0.926 | 0.8585 | 0.9281 | 0.8048 |
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| **GLM-Image** | ✓ | 0.952 | 0.979 | **0.9116** | **0.9557** | 0.7877 |
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+
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+
### Text-to-Image Benchmarks
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+
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| **Model** | **Open Source** | **OneIG-Bench-EN** | **OneIG-Bench-ZH** | **TIIF-Bench short** | **TIIF-Bench long** | **DPG-Bench** |
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|--------------------|:---------------:|:------------------:|:------------------:|:--------------------:|:-------------------:|:-------------:|
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| Seedream 4.5 | ✗ | 0.576 | 0.551 | 90.49 | **88.52** | **88.63** |
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| Seedream 4.0 | ✗ | 0.576 | 0.553 | 90.45 | 88.08 | 88.54 |
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| Nano Banana 2.0 | ✗ | **0.578** | **0.567** | **91.00** | 88.26 | 87.16 |
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| GPT Image 1 [High] | ✗ | 0.533 | 0.474 | 89.15 | 88.29 | 85.15 |
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| DALL-E 3 | ✗ | - | - | 74.96 | 70.81 | 83.50 |
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| Qwen-Image | ✓ | 0.539 | 0.548 | 86.14 | 86.83 | 88.32 |
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| Qwen-Image-2512 | ✓ | 0.530 | 0.515 | 83.24 | 84.93 | 87.20 |
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| Z-Image | ✓ | 0.546 | 0.535 | 80.20 | 83.01 | 88.14 |
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| Z-Image-Turbo | ✓ | 0.528 | 0.507 | 77.73 | 80.05 | 84.86 |
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| FLUX.1 [Dev] | ✓ | 0.434 | - | 71.09 | 71.78 | 83.52 |
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| SD3 Medium | ✓ | - | - | 67.46 | 66.09 | 84.08 |
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| SD XL | ✓ | 0.316 | - | 54.96 | 42.13 | 74.65 |
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| BAGEL | ✓ | 0.361 | 0.370 | 71.50 | 71.70 | - |
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| Janus-Pro | ✓ | 0.267 | 0.240 | 66.50 | 65.01 | 84.19 |
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| 140 |
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| Show-o2 | ✓ | 0.308 | - | 59.72 | 58.86 | - |
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| **GLM-Image** | ✓ | 0.528 | 0.511 | 81.01 | 81.02 | 84.78 |
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model_index.json
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{
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"_class_name": "GlmImagePipeline",
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"_diffusers_version": "0.37.0.dev0",
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| 4 |
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"_name_or_path": "zai-org/GLM-Image-Decoder",
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| 5 |
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"text_encoder": [
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"transformers",
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"T5EncoderModel"
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],
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"vision_language_encoder": [
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"transformers",
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"GlmImageForConditionalGeneration"
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],
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| 13 |
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"scheduler": [
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"diffusers",
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| 15 |
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"FlowMatchEulerDiscreteScheduler"
|
| 16 |
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],
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| 17 |
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"tokenizer": [
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| 18 |
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"transformers",
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| 19 |
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"ByT5Tokenizer"
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| 20 |
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],
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"processor":[
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| 22 |
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"transformers",
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"GlmImageProcessor"
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],
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"transformer": [
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| 26 |
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"diffusers",
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| 27 |
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"GlmImageTransformer2DModel"
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| 28 |
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],
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"vae": [
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| 30 |
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"diffusers",
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| 31 |
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"AutoencoderKL"
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| 32 |
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]
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| 33 |
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}
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processor/chat_template.jinja
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{%- for m in messages -%}
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{%- if m.content is string -%}
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{{ m.content }}
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{%- else -%}
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{%- for item in m.content -%}
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{%- if item.type == 'image' or item.get('image') is not none -%}
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<|dit_token_16384|><|image|><|dit_token_16385|>
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| 8 |
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{%- elif item.type == 'text' -%}
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| 9 |
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{{ item.text }}
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{%- endif -%}
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{%- endfor -%}
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{%- endif -%}
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{%- endfor -%}
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processor/preprocessor_config.json
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{
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"min_pixels": 262144,
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"max_pixels": 4194304,
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| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_normalize": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"patch_size": 16,
|
| 8 |
+
"temporal_patch_size": 1,
|
| 9 |
+
"merge_size": 1,
|
| 10 |
+
"image_mean": [0.5, 0.5, 0.5],
|
| 11 |
+
"image_std": [0.5, 0.5, 0.5],
|
| 12 |
+
"image_processor_type": "GlmImageImageProcessor",
|
| 13 |
+
"processor_class": "GlmImageProcessor",
|
| 14 |
+
"resample": 3,
|
| 15 |
+
"rescale_factor": 0.00392156862745098
|
| 16 |
+
}
|
processor/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7626ee04802e81cadec0dbb983f2278aa24240b3b5c86a0b7831199ef25c6652
|
| 3 |
+
size 23763950
|
processor/tokenizer_config.json
ADDED
|
@@ -0,0 +1,222 @@
|
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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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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"167841": {
|
| 4 |
+
"content": "<|endoftext|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"167842": {
|
| 12 |
+
"content": "[MASK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"167843": {
|
| 20 |
+
"content": "[gMASK]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"167844": {
|
| 28 |
+
"content": "[sMASK]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"167845": {
|
| 36 |
+
"content": "<sop>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"167846": {
|
| 44 |
+
"content": "<eop>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"167847": {
|
| 52 |
+
"content": "<|system|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"167848": {
|
| 60 |
+
"content": "<|user|>",
|
| 61 |
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"lstrip": false,
|
| 62 |
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"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"167849": {
|
| 68 |
+
"content": "<|assistant|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"167850": {
|
| 76 |
+
"content": "<|observation|>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"167851": {
|
| 84 |
+
"content": "<|begin_of_image|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"167852": {
|
| 92 |
+
"content": "<|end_of_image|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"167853": {
|
| 100 |
+
"content": "<|begin_of_video|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"167854": {
|
| 108 |
+
"content": "<|end_of_video|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"167855": {
|
| 116 |
+
"content": "<|image|>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"167856": {
|
| 124 |
+
"content": "<|video|>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"167857": {
|
| 132 |
+
"content": "<think>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": false
|
| 138 |
+
},
|
| 139 |
+
"167858": {
|
| 140 |
+
"content": "</think>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": false
|
| 146 |
+
},
|
| 147 |
+
"167859": {
|
| 148 |
+
"content": "<answer>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"167860": {
|
| 156 |
+
"content": "</answer>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": false
|
| 162 |
+
},
|
| 163 |
+
"167861": {
|
| 164 |
+
"content": "<|begin_of_box|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": false
|
| 170 |
+
},
|
| 171 |
+
"167862": {
|
| 172 |
+
"content": "<|end_of_box|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": false
|
| 178 |
+
},
|
| 179 |
+
"167863": {
|
| 180 |
+
"content": "<|sep|>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": false
|
| 186 |
+
}
|
| 187 |
+
},
|
| 188 |
+
"additional_special_tokens": [
|
| 189 |
+
"<|endoftext|>",
|
| 190 |
+
"[MASK]",
|
| 191 |
+
"[gMASK]",
|
| 192 |
+
"[sMASK]",
|
| 193 |
+
"<sop>",
|
| 194 |
+
"<eop>",
|
| 195 |
+
"<|system|>",
|
| 196 |
+
"<|user|>",
|
| 197 |
+
"<|assistant|>",
|
| 198 |
+
"<|observation|>",
|
| 199 |
+
"<|begin_of_image|>",
|
| 200 |
+
"<|end_of_image|>",
|
| 201 |
+
"<|begin_of_video|>",
|
| 202 |
+
"<|end_of_video|>",
|
| 203 |
+
"<|image|>",
|
| 204 |
+
"<|video|>"
|
| 205 |
+
],
|
| 206 |
+
"clean_up_tokenization_spaces": false,
|
| 207 |
+
"do_lower_case": false,
|
| 208 |
+
"eos_token": "<|dit_token_16385|>",
|
| 209 |
+
"bos_token": "<|dit_token_16384|>",
|
| 210 |
+
"pad_token": "<|dit_token_16385|>",
|
| 211 |
+
"image_token": "<|image|>",
|
| 212 |
+
"grid_bos_token": "<sop>",
|
| 213 |
+
"grid_eos_token": "<eop>",
|
| 214 |
+
"model_input_names": [
|
| 215 |
+
"input_ids",
|
| 216 |
+
"attention_mask"
|
| 217 |
+
],
|
| 218 |
+
"model_max_length": 65536,
|
| 219 |
+
"padding_side": "left",
|
| 220 |
+
"remove_space": false,
|
| 221 |
+
"tokenizer_class": "PreTrainedTokenizer"
|
| 222 |
+
}
|
scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.37.0.dev0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.25,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 0.75,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "linear",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": true,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
text_encoder/config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"T5EncoderModel"
|
| 4 |
+
],
|
| 5 |
+
"classifier_dropout": 0.0,
|
| 6 |
+
"d_ff": 3584,
|
| 7 |
+
"d_kv": 64,
|
| 8 |
+
"d_model": 1472,
|
| 9 |
+
"decoder_start_token_id": 0,
|
| 10 |
+
"dense_act_fn": "gelu_new",
|
| 11 |
+
"dropout_rate": 0.1,
|
| 12 |
+
"dtype": "float32",
|
| 13 |
+
"eos_token_id": 1,
|
| 14 |
+
"feed_forward_proj": "gated-gelu",
|
| 15 |
+
"gradient_checkpointing": false,
|
| 16 |
+
"initializer_factor": 1.0,
|
| 17 |
+
"is_encoder_decoder": false,
|
| 18 |
+
"is_gated_act": true,
|
| 19 |
+
"layer_norm_epsilon": 1e-06,
|
| 20 |
+
"model_type": "t5",
|
| 21 |
+
"num_decoder_layers": 4,
|
| 22 |
+
"num_heads": 6,
|
| 23 |
+
"num_layers": 12,
|
| 24 |
+
"pad_token_id": 0,
|
| 25 |
+
"relative_attention_max_distance": 128,
|
| 26 |
+
"relative_attention_num_buckets": 32,
|
| 27 |
+
"tie_word_embeddings": false,
|
| 28 |
+
"tokenizer_class": "ByT5Tokenizer",
|
| 29 |
+
"transformers_version": "4.57.3",
|
| 30 |
+
"use_cache": false,
|
| 31 |
+
"vocab_size": 384
|
| 32 |
+
}
|
text_encoder/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa1ce00ffb0fe8912dfe32c11ba235b87511604298b605ef95314668a02f2bbf
|
| 3 |
+
size 870643240
|
tokenizer/added_tokens.json
ADDED
|
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<extra_id_0>": 259,
|
| 3 |
+
"<extra_id_100>": 359,
|
| 4 |
+
"<extra_id_101>": 360,
|
| 5 |
+
"<extra_id_102>": 361,
|
| 6 |
+
"<extra_id_103>": 362,
|
| 7 |
+
"<extra_id_104>": 363,
|
| 8 |
+
"<extra_id_105>": 364,
|
| 9 |
+
"<extra_id_106>": 365,
|
| 10 |
+
"<extra_id_107>": 366,
|
| 11 |
+
"<extra_id_108>": 367,
|
| 12 |
+
"<extra_id_109>": 368,
|
| 13 |
+
"<extra_id_10>": 269,
|
| 14 |
+
"<extra_id_110>": 369,
|
| 15 |
+
"<extra_id_111>": 370,
|
| 16 |
+
"<extra_id_112>": 371,
|
| 17 |
+
"<extra_id_113>": 372,
|
| 18 |
+
"<extra_id_114>": 373,
|
| 19 |
+
"<extra_id_115>": 374,
|
| 20 |
+
"<extra_id_116>": 375,
|
| 21 |
+
"<extra_id_117>": 376,
|
| 22 |
+
"<extra_id_118>": 377,
|
| 23 |
+
"<extra_id_119>": 378,
|
| 24 |
+
"<extra_id_11>": 270,
|
| 25 |
+
"<extra_id_120>": 379,
|
| 26 |
+
"<extra_id_121>": 380,
|
| 27 |
+
"<extra_id_122>": 381,
|
| 28 |
+
"<extra_id_123>": 382,
|
| 29 |
+
"<extra_id_124>": 383,
|
| 30 |
+
"<extra_id_12>": 271,
|
| 31 |
+
"<extra_id_13>": 272,
|
| 32 |
+
"<extra_id_14>": 273,
|
| 33 |
+
"<extra_id_15>": 274,
|
| 34 |
+
"<extra_id_16>": 275,
|
| 35 |
+
"<extra_id_17>": 276,
|
| 36 |
+
"<extra_id_18>": 277,
|
| 37 |
+
"<extra_id_19>": 278,
|
| 38 |
+
"<extra_id_1>": 260,
|
| 39 |
+
"<extra_id_20>": 279,
|
| 40 |
+
"<extra_id_21>": 280,
|
| 41 |
+
"<extra_id_22>": 281,
|
| 42 |
+
"<extra_id_23>": 282,
|
| 43 |
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"<extra_id_24>": 283,
|
| 44 |
+
"<extra_id_25>": 284,
|
| 45 |
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"<extra_id_26>": 285,
|
| 46 |
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"<extra_id_27>": 286,
|
| 47 |
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"<extra_id_28>": 287,
|
| 48 |
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"<extra_id_29>": 288,
|
| 49 |
+
"<extra_id_2>": 261,
|
| 50 |
+
"<extra_id_30>": 289,
|
| 51 |
+
"<extra_id_31>": 290,
|
| 52 |
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"<extra_id_32>": 291,
|
| 53 |
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"<extra_id_33>": 292,
|
| 54 |
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"<extra_id_34>": 293,
|
| 55 |
+
"<extra_id_35>": 294,
|
| 56 |
+
"<extra_id_36>": 295,
|
| 57 |
+
"<extra_id_37>": 296,
|
| 58 |
+
"<extra_id_38>": 297,
|
| 59 |
+
"<extra_id_39>": 298,
|
| 60 |
+
"<extra_id_3>": 262,
|
| 61 |
+
"<extra_id_40>": 299,
|
| 62 |
+
"<extra_id_41>": 300,
|
| 63 |
+
"<extra_id_42>": 301,
|
| 64 |
+
"<extra_id_43>": 302,
|
| 65 |
+
"<extra_id_44>": 303,
|
| 66 |
+
"<extra_id_45>": 304,
|
| 67 |
+
"<extra_id_46>": 305,
|
| 68 |
+
"<extra_id_47>": 306,
|
| 69 |
+
"<extra_id_48>": 307,
|
| 70 |
+
"<extra_id_49>": 308,
|
| 71 |
+
"<extra_id_4>": 263,
|
| 72 |
+
"<extra_id_50>": 309,
|
| 73 |
+
"<extra_id_51>": 310,
|
| 74 |
+
"<extra_id_52>": 311,
|
| 75 |
+
"<extra_id_53>": 312,
|
| 76 |
+
"<extra_id_54>": 313,
|
| 77 |
+
"<extra_id_55>": 314,
|
| 78 |
+
"<extra_id_56>": 315,
|
| 79 |
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"<extra_id_57>": 316,
|
| 80 |
+
"<extra_id_58>": 317,
|
| 81 |
+
"<extra_id_59>": 318,
|
| 82 |
+
"<extra_id_5>": 264,
|
| 83 |
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"<extra_id_60>": 319,
|
| 84 |
+
"<extra_id_61>": 320,
|
| 85 |
+
"<extra_id_62>": 321,
|
| 86 |
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"<extra_id_63>": 322,
|
| 87 |
+
"<extra_id_64>": 323,
|
| 88 |
+
"<extra_id_65>": 324,
|
| 89 |
+
"<extra_id_66>": 325,
|
| 90 |
+
"<extra_id_67>": 326,
|
| 91 |
+
"<extra_id_68>": 327,
|
| 92 |
+
"<extra_id_69>": 328,
|
| 93 |
+
"<extra_id_6>": 265,
|
| 94 |
+
"<extra_id_70>": 329,
|
| 95 |
+
"<extra_id_71>": 330,
|
| 96 |
+
"<extra_id_72>": 331,
|
| 97 |
+
"<extra_id_73>": 332,
|
| 98 |
+
"<extra_id_74>": 333,
|
| 99 |
+
"<extra_id_75>": 334,
|
| 100 |
+
"<extra_id_76>": 335,
|
| 101 |
+
"<extra_id_77>": 336,
|
| 102 |
+
"<extra_id_78>": 337,
|
| 103 |
+
"<extra_id_79>": 338,
|
| 104 |
+
"<extra_id_7>": 266,
|
| 105 |
+
"<extra_id_80>": 339,
|
| 106 |
+
"<extra_id_81>": 340,
|
| 107 |
+
"<extra_id_82>": 341,
|
| 108 |
+
"<extra_id_83>": 342,
|
| 109 |
+
"<extra_id_84>": 343,
|
| 110 |
+
"<extra_id_85>": 344,
|
| 111 |
+
"<extra_id_86>": 345,
|
| 112 |
+
"<extra_id_87>": 346,
|
| 113 |
+
"<extra_id_88>": 347,
|
| 114 |
+
"<extra_id_89>": 348,
|
| 115 |
+
"<extra_id_8>": 267,
|
| 116 |
+
"<extra_id_90>": 349,
|
| 117 |
+
"<extra_id_91>": 350,
|
| 118 |
+
"<extra_id_92>": 351,
|
| 119 |
+
"<extra_id_93>": 352,
|
| 120 |
+
"<extra_id_94>": 353,
|
| 121 |
+
"<extra_id_95>": 354,
|
| 122 |
+
"<extra_id_96>": 355,
|
| 123 |
+
"<extra_id_97>": 356,
|
| 124 |
+
"<extra_id_98>": 357,
|
| 125 |
+
"<extra_id_99>": 358,
|
| 126 |
+
"<extra_id_9>": 268
|
| 127 |
+
}
|
tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,150 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<extra_id_0>",
|
| 4 |
+
"<extra_id_1>",
|
| 5 |
+
"<extra_id_2>",
|
| 6 |
+
"<extra_id_3>",
|
| 7 |
+
"<extra_id_4>",
|
| 8 |
+
"<extra_id_5>",
|
| 9 |
+
"<extra_id_6>",
|
| 10 |
+
"<extra_id_7>",
|
| 11 |
+
"<extra_id_8>",
|
| 12 |
+
"<extra_id_9>",
|
| 13 |
+
"<extra_id_10>",
|
| 14 |
+
"<extra_id_11>",
|
| 15 |
+
"<extra_id_12>",
|
| 16 |
+
"<extra_id_13>",
|
| 17 |
+
"<extra_id_14>",
|
| 18 |
+
"<extra_id_15>",
|
| 19 |
+
"<extra_id_16>",
|
| 20 |
+
"<extra_id_17>",
|
| 21 |
+
"<extra_id_18>",
|
| 22 |
+
"<extra_id_19>",
|
| 23 |
+
"<extra_id_20>",
|
| 24 |
+
"<extra_id_21>",
|
| 25 |
+
"<extra_id_22>",
|
| 26 |
+
"<extra_id_23>",
|
| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>",
|
| 103 |
+
"<extra_id_100>",
|
| 104 |
+
"<extra_id_101>",
|
| 105 |
+
"<extra_id_102>",
|
| 106 |
+
"<extra_id_103>",
|
| 107 |
+
"<extra_id_104>",
|
| 108 |
+
"<extra_id_105>",
|
| 109 |
+
"<extra_id_106>",
|
| 110 |
+
"<extra_id_107>",
|
| 111 |
+
"<extra_id_108>",
|
| 112 |
+
"<extra_id_109>",
|
| 113 |
+
"<extra_id_110>",
|
| 114 |
+
"<extra_id_111>",
|
| 115 |
+
"<extra_id_112>",
|
| 116 |
+
"<extra_id_113>",
|
| 117 |
+
"<extra_id_114>",
|
| 118 |
+
"<extra_id_115>",
|
| 119 |
+
"<extra_id_116>",
|
| 120 |
+
"<extra_id_117>",
|
| 121 |
+
"<extra_id_118>",
|
| 122 |
+
"<extra_id_119>",
|
| 123 |
+
"<extra_id_120>",
|
| 124 |
+
"<extra_id_121>",
|
| 125 |
+
"<extra_id_122>",
|
| 126 |
+
"<extra_id_123>",
|
| 127 |
+
"<extra_id_124>"
|
| 128 |
+
],
|
| 129 |
+
"eos_token": {
|
| 130 |
+
"content": "</s>",
|
| 131 |
+
"lstrip": false,
|
| 132 |
+
"normalized": true,
|
| 133 |
+
"rstrip": false,
|
| 134 |
+
"single_word": false
|
| 135 |
+
},
|
| 136 |
+
"pad_token": {
|
| 137 |
+
"content": "<pad>",
|
| 138 |
+
"lstrip": false,
|
| 139 |
+
"normalized": true,
|
| 140 |
+
"rstrip": false,
|
| 141 |
+
"single_word": false
|
| 142 |
+
},
|
| 143 |
+
"unk_token": {
|
| 144 |
+
"content": "<unk>",
|
| 145 |
+
"lstrip": false,
|
| 146 |
+
"normalized": true,
|
| 147 |
+
"rstrip": false,
|
| 148 |
+
"single_word": false
|
| 149 |
+
}
|
| 150 |
+
}
|
tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,1163 @@
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| 1 |
+
{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 59 |
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| 63 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 72 |
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| 74 |
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| 75 |
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| 77 |
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| 106 |
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| 107 |
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| 124 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 140 |
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| 141 |
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| 145 |
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| 146 |
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| 148 |
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| 149 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 162 |
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| 163 |
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| 164 |
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| 171 |
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| 194 |
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| 195 |
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| 196 |
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transformer/config.json
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vae/config.json
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@@ -0,0 +1,71 @@
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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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|
| 10 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
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|
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"latents_std": [
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| 55 |
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|
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|
| 58 |
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|
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|
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|
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"up_block_types": [
|
| 64 |
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| 65 |
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| 66 |
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|
| 67 |
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"UpDecoderBlock2D"
|
| 68 |
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],
|
| 69 |
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"use_post_quant_conv": false,
|
| 70 |
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"use_quant_conv": false
|
| 71 |
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vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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size 812234342
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vision_language_encoder/config.json
ADDED
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@@ -0,0 +1,61 @@
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