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:
- c9cd1ee53440e3d7b6c8029ffd97f85fdf7c11bfc3f9ee4ee9005ac2dbf74cf3
- Size of remote file:
- 246 MB
- SHA256:
- d2015263f98ae9f6e0ea233756bd5ea51ddb1f36ec6a2dd862e59d82611d1db7
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