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:
- 9b94696859e103af99b0bfe2cb2dd8b15daa70d5e05e0d7e27b766563542848e
- Size of remote file:
- 910 MB
- SHA256:
- cc7febcfb41f80e180ffb69d9982af212060f0286f819ee482e8a2dea45fc48d
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