Instructions to use sergiocannata/diffuser_generated_melanoma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sergiocannata/diffuser_generated_melanoma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sergiocannata/diffuser_generated_melanoma", 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
Download checkpoint-6000/unet/diffusion_pytorch_model.bin from sergiocannata/diffuser_generated_melanoma: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/sergiocannata/diffuser_generated_melanoma/resolve/main/checkpoint-6000/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://sergiocannata/diffuser_generated_melanoma/checkpoint-6000/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/sergiocannata/diffuser_generated_melanoma/resolve/main/checkpoint-6000/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 6d0047190f68a520a7d1e6097a112c9ed7caa36533daffd4712093d474f40e4b
- Size of remote file:
- 455 MB
- SHA256:
- d5c7de324025d1fd7c5a1d93cb199150caae8ace1046d8599895b567075b0758
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