Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hcarrion/hyperpigmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcarrion/hyperpigmentation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("hcarrion/hyperpigmentation") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Link model to paper and code repository
Verified signatureHi! I'm Niels from the Hugging Face community science team. This PR improves the model card for your textual inversion model: - Sets the `pipeline_tag` to `text-to-image` and the `library_name` to `diffusers` in the YAML metadata. - Links the model card to the corresponding paper: [Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification](https://huggingface.co/papers/2607.12987). - Adds a link to the official GitHub repository and dataset for easier access. Feel free to merge if this looks good to you!2bfb5af
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End of training
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initial commit
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