Instructions to use lilylilith/AnyPose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lilylilith/AnyPose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lilylilith/AnyPose") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Upload 2511 AnyPose Base & Helper
Browse filesUse both LoRA weights at 0.7 strength.
2511-AnyPose-base-000006250.safetensors
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oid sha256:0396314e43b94f7520cf5242e6aa6e8e9095d784f7e87ee45980c2e541ee8c4d
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2511-AnyPose-helper-00006000.safetensors
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oid sha256:674340c62fff3cf981d0cfc55daf2f0e6f51c56b50159e241d931748200cf1eb
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size 295146216
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