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/optimizer.bin from sergiocannata/diffuser_generated_melanoma: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/sergiocannata/diffuser_generated_melanoma/resolve/refs%2Fpr%2F1/checkpoint-6000/optimizer.bin
- Command line
-
hf download hf://sergiocannata/diffuser_generated_melanoma@refs/pr/1/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sergiocannata/diffuser_generated_melanoma/resolve/refs%2Fpr%2F1/checkpoint-6000/optimizer.bin
910 MB
- Xet hash:
- 0881645422ec89dd1c2cafc24e462f789d7c3c04f2e6cb2321d3431eea1c7a64
- Size of remote file:
- 910 MB
- SHA256:
- b99358392e8cc42cd70a73d2d2099ab5891922e3203b8607941234d2eefc42f4
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