Instructions to use ShineChen1024/ENSEMBLE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShineChen1024/ENSEMBLE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShineChen1024/ENSEMBLE", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- qwen_image_edit_lora_qkv/checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- qwen_image_edit_lora_qkv/checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- qwen_image_edit_lora_qkv/checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- qwen_image_edit_lora_qkv/pytorch_lora_weights.safetensors +3 -0
qwen_image_edit_lora_qkv/checkpoint-1000/pytorch_lora_weights.safetensors
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oid sha256:66fc24a3aa0b2dfbc21e7c40f954b9fd2df54946801ffdd3d4b7af430a33b708
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size 188806880
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qwen_image_edit_lora_qkv/checkpoint-1500/pytorch_lora_weights.safetensors
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oid sha256:d4b8101bde4c45d41aab30c0fa58428a846d5342a1b0d9d7cb4a3588125f4c5b
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size 188806880
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qwen_image_edit_lora_qkv/checkpoint-500/pytorch_lora_weights.safetensors
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oid sha256:7677497c960d28e7584e55661182d07142ade91ebeb5d75520b079ad4c2b9152
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size 188806880
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qwen_image_edit_lora_qkv/pytorch_lora_weights.safetensors
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oid sha256:78162983947bcfe1232feab2b33ba24ba8344c01de980971e8df5f73c95d33ec
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size 188806912
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