Instructions to use dataautogpt3/FLUX-SyntheticAnime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/FLUX-SyntheticAnime 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("dataautogpt3/FLUX-SyntheticAnime") prompt = "1980s anime screengrab, VHS quality, a woman with her face glitching and disorted, a halo above her head" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 7e23ad5b2f8cc0ea638d9babc5c2ea18ec85991fff963c1f05d4047184b8f2cf
- Size of remote file:
- 1.29 MB
- SHA256:
- 021410c1447607a11b17d900045f7c997ec83644bab00e4870158fbd45b22040
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