Instructions to use RadonDong/LUAD_black_formalin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RadonDong/LUAD_black_formalin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RadonDong/LUAD_black_formalin") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- cc6770166d7d70fcb44667804a1335dec99bd1f41aad0ab51c921ccdbfc089a0
- Size of remote file:
- 586 kB
- SHA256:
- 9e5a0f1375af37b0624b6f91062e9ba8fe9e34c0071c4c2f08a08fce8e73e8e9
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