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:
- 5ebd54c57cb8eda1aefb215ae67570de2613a00c842b704b5a384c3ac386dd7a
- Size of remote file:
- 602 kB
- SHA256:
- 69b1c385f44e45f5696d4f75e970aba532853de9cf28416f0debde968e946ff5
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