Instructions to use Freepik/flux.1-lite-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Freepik/flux.1-lite-8B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Freepik/flux.1-lite-8B", 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
fix: Update README
Browse files
README.md
CHANGED
|
@@ -72,10 +72,6 @@ As Ostris pointed out, not all blocks contribute equally. While skipping just on
|
|
| 72 |

|
| 73 |

|
| 74 |
|
| 75 |
-
## Future work
|
| 76 |
-
|
| 77 |
-
Stay tuned! Our goal is to distill FLUX.1-dev further until it can run smoothly on 24 GB consumer-grade GPU cards, maintaining its original precision (bfloat16), and running even faster, making high-quality AI models accessible to everyone.
|
| 78 |
-
|
| 79 |
## ComfyUI
|
| 80 |
|
| 81 |
We've also crafted a ComfyUI workflow to make using Flux.1 Lite even more seamless! Find it in `comfy/flux.1-lite_workflow.json`.
|
|
|
|
| 72 |

|
| 73 |

|
| 74 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 75 |
## ComfyUI
|
| 76 |
|
| 77 |
We've also crafted a ComfyUI workflow to make using Flux.1 Lite even more seamless! Find it in `comfy/flux.1-lite_workflow.json`.
|