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
- Xet hash:
- 001322495f688c7070c55e10375b09f30120b33b5af5542f91c9547978a072ec
- Size of remote file:
- 563 Bytes
- SHA256:
- a841701e3a5d2df1080c96fbc35b1ab4f3852b9bf0fb62eacb0e005da6f08c2d
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