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:
- db6304487d3e43840a520905eaa5e0c67d90f99b3106ad32b8dcfd3b7d05010f
- Size of remote file:
- 587 kB
- SHA256:
- cfb60fc08e0cf104be61dbb4211b9cfc9f27548b57dc2b319dc0dde877f672ee
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