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-19000/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/main/checkpoint-19000/optimizer.bin
- Command line
-
hf download hf://sergiocannata/diffuser_generated_melanoma/checkpoint-19000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sergiocannata/diffuser_generated_melanoma/resolve/main/checkpoint-19000/optimizer.bin
910 MB
- Xet hash:
- b62a40053df074cfb8604973a782cfae04d697dc676243b94cf2f5a46c3ee111
- Size of remote file:
- 910 MB
- SHA256:
- 746556df896823dd0eea99a382e67aa45ab7d2e1e9e858ab413e2d52c21ca0fe
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