Instructions to use EVA787797/juuiu45454 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/juuiu45454 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("EVA787797/juuiu45454") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 264d68904d0f7ca6e5098f157411794f11f8bf0194028ef777b6100c9aaed93b
- Size of remote file:
- 687 MB
- SHA256:
- 328f945688a91b13b5603550cb615ccb218f1400b3456bf409e41d5dbf065655
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