Instructions to use sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128 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_mam_CBIS_malignant_128x128", 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-2000/optimizer.bin from sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128/resolve/main/checkpoint-2000/optimizer.bin
910 MB
- Xet hash:
- 6e2a8a0afc202ed9d96113f44458e1b50982263f6f4a2c29e86d8462085affbe
- Size of remote file:
- 910 MB
- SHA256:
- 04994482bfc26eed9743884b9b4eeac8a8c13d9d05a03b287486b291a5180766
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