Instructions to use Ryan241005/PoseAnything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ryan241005/PoseAnything with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ryan241005/PoseAnything", 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
config.json
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{
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"_class_name": "WanModel",
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"_diffusers_version": "0.33.1",
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"dim": 3072,
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"eps": 1e-06,
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"ffn_dim": 14336,
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"freq_dim": 256,
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"in_dim": 96,
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"model_type": "ti2v",
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"num_heads": 24,
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"num_layers": 30,
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"out_dim": 48,
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"text_len": 512
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}
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diffusion_pytorch_model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c5163a897889add333629510b67b47cc36a91c1429d7281a192825ddf7139762
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size 9993789680
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diffusion_pytorch_model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:afaedc1ba55b3dafd72694f3850a967515d1318cb0791123fac0cdeb11ad66ec
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size 2273488032
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diffusion_pytorch_model.safetensors.index.json
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