Instructions to use RadonDong/LUAD_white_formalin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RadonDong/LUAD_white_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_white_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:
- 7216f7a02d53bf676f48a915da8340bd6edec96c2d43034b4b8f7174fa3fd4b3
- Size of remote file:
- 572 kB
- SHA256:
- c4646c94996e9d0d6e4d674e3735aead7948cfa9ce9f6d787fecab85f247dfc0
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