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
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,9 +7,7 @@ base_model:
|
|
| 7 |
pipeline_tag: text-to-image
|
| 8 |
library_name: diffusers
|
| 9 |
---
|
| 10 |
-
|
| 11 |
-
pipeline_tag: text-to-image
|
| 12 |
-
---
|
| 13 |
# black-forest-labs/FLUX.1-dev - AMD Optimized ONNX
|
| 14 |
|
| 15 |
## Original Model
|
|
|
|
| 7 |
pipeline_tag: text-to-image
|
| 8 |
library_name: diffusers
|
| 9 |
---
|
| 10 |
+
|
|
|
|
|
|
|
| 11 |
# black-forest-labs/FLUX.1-dev - AMD Optimized ONNX
|
| 12 |
|
| 13 |
## Original Model
|