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-5000/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-5000/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://sergiocannata/diffuser_generated_melanoma/checkpoint-5000/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/sergiocannata/diffuser_generated_melanoma/resolve/main/checkpoint-5000/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 74bc82d87977aa95adcdac074112051196ebf61a2977fe0abea96aadcc96084b
- Size of remote file:
- 455 MB
- SHA256:
- 71413a008fc45a1166cb2a8a2324422b32f51ce8680589163338f5ce24450283
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