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-15000/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-15000/optimizer.bin
- Command line
-
hf download hf://sergiocannata/diffuser_generated_melanoma/checkpoint-15000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sergiocannata/diffuser_generated_melanoma/resolve/main/checkpoint-15000/optimizer.bin
910 MB
- Xet hash:
- e20aeef0daed3a2b693fd7f2db73cc2ae26e226025de4359a2722ac6c315a3ec
- Size of remote file:
- 910 MB
- SHA256:
- 9111c92b30f68ccf0c6c3a5dd531c44d213d61f7f43e7433436a2b0267e1b23b
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