Instructions to use amd/FLUX.1-dev_io16_amdgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/FLUX.1-dev_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-dev_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
- Draw Things
- DiffusionBee
- Xet hash:
- 1ebee611d86d4a18a688a39db9cc0b8dce292510d0e5531db398a3f4ee85c8e6
- Size of remote file:
- 119 kB
- SHA256:
- 9049b13e7fad9cea48da83d9425cf68389431c57b6ec97b9fe33caabd58f27a7
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