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:
- 412cc4dc54481ee58884e4f7dc64bfe8ee7bf499f347f7097a794b2ed1a6b902
- Size of remote file:
- 910 MB
- SHA256:
- 966be7f833935f38d88af92e8c37fa31bee7bccec66a19a9a1ca4441a2cdbc0a
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