Instructions to use davisbro/half_illustration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use davisbro/half_illustration with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("davisbro/half_illustration") prompt = "In the style of TOK, a photo editorial avant-garde dramatic action pose of a woman short blue hair wearing 70s round wacky sunglasses pulling glasses down looking forward, in Tokyo with large marble structures and bonsai trees at sunset with a vibrant illustrated jacket surrounded by illustrations of flowers, smoke, flames, ice cream, sparkles, rock and roll" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e20d1d6728de0330a4d59bab37c2a7ad4fb43c23c94cd14cc460cf4323a0d1b8
- Size of remote file:
- 172 MB
- SHA256:
- 03360d6319a3f05121e9007c0dd2981ddc404fbab8b11849aaa69984c7223da3
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