Instructions to use ostris/super-cereal-sdxl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/super-cereal-sdxl-lora 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ostris/super-cereal-sdxl-lora") prompt = " boogers, free tissue inside" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4cef8b3393f28180ddf1762463708fa72b6cbfbe1da401ee6e54de240f3c0e83
- Size of remote file:
- 218 MB
- SHA256:
- ce92fe9a2b35caf6fb818c60f1b4eb97f31c60f39e54c2d2afd710f4a0652397
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