Instructions to use RadonDong/LUSC_black_formalin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RadonDong/LUSC_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/LUSC_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:
- 48d4279ee5b301029a6323c86157edee9c9ea2ac0c455ab63bbf438300ca6c48
- Size of remote file:
- 499 kB
- SHA256:
- 952fb015c71b4822b72e4e598add8e8cd79e8f378feb92f2290b330629365a40
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