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:
- 450128077aac9b67634c3fa1df306afa66906b02e2133e0a2d3689dda86540ba
- Size of remote file:
- 344 MB
- SHA256:
- 3f62129f75ab1cfbf2bd2fc5812766d3774d883019686ba5f16f49665dbd0baf
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