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:
- 73e4ed5e88fe3ae05f65a78bfb12d477d5b15030326472fc0da6307bdcd06cfd
- Size of remote file:
- 580 kB
- SHA256:
- 6c4fca4395c5816edfb48696ee7741382127d759a03aa4ee571caf131c187aec
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