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-4500/scheduler.bin from sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128: direct link, hf CLI and curl.
- Browser
- Download file 563 Bytes
-
https://huggingface.co/sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128/resolve/main/checkpoint-4500/scheduler.bin
- Command line
-
hf download hf://sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128/checkpoint-4500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128/resolve/main/checkpoint-4500/scheduler.bin
563 Bytes
- Xet hash:
- 84a5521eda09f0a73ea8b78e95b6863b8b6bac29e67c06a75bf1219f9a54b9df
- Size of remote file:
- 563 Bytes
- SHA256:
- 33ad3c63fccfa4ce51c5c60d30dbed13900aeb12d7666d18c8c9d33d200d6a8a
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