Instructions to use greyDonald/HumanAwareDesignGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use greyDonald/HumanAwareDesignGeneration 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("greyDonald/HumanAwareDesignGeneration", dtype=torch.bfloat16, device_map="cuda") 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] - Notebooks
- Google Colab
- Kaggle
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Download THIRD_PARTY_NOTICES.md from greyDonald/HumanAwareDesignGeneration: direct link, hf CLI and curl.
- Browser
- Download file 4.14 kB
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https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/THIRD_PARTY_NOTICES.md
- Command line
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hf download hf://greyDonald/HumanAwareDesignGeneration/THIRD_PARTY_NOTICES.md
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curl -L -o THIRD_PARTY_NOTICES.md https://huggingface.co/greyDonald/HumanAwareDesignGeneration/resolve/main/THIRD_PARTY_NOTICES.md
4.14 kB
| # Third-party notices | |
| This release combines separately licensed source code, user-provided research checkpoints, model resources and demonstration materials. No single license is asserted over all of them. Preserve upstream licenses and follow the terms applicable to each component. | |
| | Component | Source and terms | | |
| | --- | --- | | |
| | FlexDM encoder source | [CyberAgentAILab/flex-dm](https://github.com/CyberAgentAILab/flex-dm), Apache License 2.0. The license is retained at `vendor/flexdm/LICENSE`. The supplied encoder checkpoint was extracted from the project's locally trained FlexDM model; provenance is recorded in `vendor/flexdm/provenance.json`. | | |
| | Pose token decoder | User-provided original project's VQ-VAE source and `52joints_tokenization.pth`. Source provenance is in `vendor/render/PROVENANCE.json`; no new blanket license is assigned to that checkpoint. | | |
| | Rotation utilities | Meta PyTorch3D, BSD-style license; retain the copyright header and accompanying `vendor/render/LICENSE.pytorch3d`. | | |
| | LayerDiffuse source | [rootonchair/diffusers-LayerDiffuse](https://github.com/rootonchair/diffusers-LayerDiffuse), based on [lllyasviel/LayerDiffuse](https://github.com/lllyasviel/LayerDiffuse). The upstream source license is retained in `vendor/pose_renderer/`. Model weights have separate terms. | | |
| | Qwen Image 2.1 | [Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1). **Qwen RESEARCH LICENSE AGREEMENT**, September 20, 2026; non-commercial use subject to its terms. Full `LICENSE` and `NOTICE` are retained with the model resources. **Built with Qwen.** | | |
| | SMPL-X body model | [Official SMPL-X model license](https://smpl-x.is.tue.mpg.de/modellicense.html). Obtain an authorized copy directly from the provider. The public resource repository does not redistribute it. | | |
| | SDXL base (optional) | [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0), CreativeML Open RAIL++-M. | | |
| | SDXL OpenPose ControlNet (optional) | [thibaud/controlnet-openpose-sdxl-1.0](https://huggingface.co/thibaud/controlnet-openpose-sdxl-1.0); the model card refers to the [OpenPose license](https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/LICENSE). That license restricts redistribution. The checkpoint is excluded from this public resource mirror; obtain it from its provider under the applicable terms. | | |
| | IP-Adapter (optional) | [h94/IP-Adapter](https://huggingface.co/h94/IP-Adapter), Apache License 2.0. Its CLIP ViT-H image encoder matches [laion/CLIP-ViT-H-14-laion2B-s32B-b79K](https://huggingface.co/laion/CLIP-ViT-H-14-laion2B-s32B-b79K), MIT. | | |
| | SDXL fp16 VAE fix (optional) | [madebyollin/sdxl-vae-fp16-fix](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix), model-card license MIT; preserve upstream attribution and applicable base-model terms. | | |
| | LayerDiffuse weights (optional) | Original [LayerDiffusion](https://huggingface.co/LayerDiffusion/layerdiffusion) weights declare CreativeML Open RAIL-M. The [rootonchair conversion](https://huggingface.co/rootonchair/diffuser_layerdiffuse) declares MIT; conversion metadata does not replace original model terms. | | |
| | DejaVu font | Bitstream Vera permission notice, with DejaVu changes in the public domain. The font and notice are stored under `weight/assets/fonts/`. | | |
| The public weight bundle retains component-specific license texts and a source/license inventory. SMPL-X and the OpenPose ControlNet remain available only in the owner's local resource directory unless separate redistribution rights are established. Other downloaded packages retain their own licenses; see their distributions. | |
| Original example design elements and paper figures are included for demonstration and research. Their inclusion does not grant a new blanket license to the underlying artwork, imagery, fonts or depicted material. The project README and page display only original paper figures, not development inference results. | |
| Required Qwen notice: | |
| > Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved. | |