Instructions to use amd/FLUX.1-schnell_io16_amdgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/FLUX.1-schnell_io16_amdgpu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("amd/FLUX.1-schnell_io16_amdgpu", 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 Settings
- Draw Things
- DiffusionBee
Commit History
-
Update unet model data name to standard
ozhang081a006
-
Upload 2 files
Verified signature39a6a3a -
Delete transformer
Verified signature9ee0a28
-
Upload 2 files
Verified signature9246c29 -
Delete unet
Verified signature9182ea6
-
Update README.md
Verified signatured5c3976 -
Update README.md
Verified signaturee7599ab
-
Upload sample.png
Verified signature86376ca -
Update README.md
Verified signatured9e0800 -
Upload 19 files
Verified signature743a3a2
-
Update README.md
Verified signaturec27e90d -
initial commit
Verified signature26f98b9