Instructions to use wangjian21/bloody with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/bloody with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangjian21/bloody") prompt = "bloody" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 121d04949ff29780ba047df0fe183456c769729a43e1a97843ef3f6dc894f5c2
- Size of remote file:
- 6.59 MB
- SHA256:
- 86931ede1d4d49950362e2d676575ee547e31d217ae49814ea769dec9f3f4349
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