Instructions to use za4BeqsBV36z2s889/blindfold-illus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use za4BeqsBV36z2s889/blindfold-illus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("za4BeqsBV36z2s889/blindfold-illus") prompt = "masterpiece, best quality, 1girl, <lora:blindfold-illus:1>, blindfold" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e7a4d61bb51b44855c9638f49c1ef8a275d71fba3be32842da04b54cfedf2a92
- Size of remote file:
- 57.5 MB
- SHA256:
- 32abbbf56f3115ca896f6c162fea3c537256c779e0d07ef62dffaebe83283d7e
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