Instructions to use FangchenSad/FLUX.1-Kontext-dev-torchao-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FangchenSad/FLUX.1-Kontext-dev-torchao-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FangchenSad/FLUX.1-Kontext-dev-torchao-fp8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d0dc463270de45f2a22478eb9f0cf63f76a04fb09cddfb9d67b8b20c163a3f29
- Size of remote file:
- 168 MB
- SHA256:
- cce47e1b8a3ec5a154aa1f0fb1421dd2d187bc32d1942d5a9f4501bb07277050
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