Instructions to use LyliaEngine/cfg_scale_boost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LyliaEngine/cfg_scale_boost with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LyliaEngine/cfg_scale_boost") prompt = "score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, realistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dd6837184ae43b87674d2adbd277558e74dfeb3f6d2cdf0446d1c257ec7f4bf9
- Size of remote file:
- 171 MB
- SHA256:
- 4605b2de07734a7479c41e6dbce56dca1136757c3ede2c73bf5c6b6b8b4a91b8
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