Instructions to use black-forest-labs/FLUX.1-Redux-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use black-forest-labs/FLUX.1-Redux-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Redux-dev", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use black-forest-labs/FLUX.1-Redux-dev with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
flux.1 dev photorealistic image quality drop when redux added.
#10
by flankechen - opened
thanks for the work.
I notice significant photorealistic image quality drop if redux image conditioning added.
I use flux.1 dev txt2img to gen good images, and use it as image conditioning. same prompt, same seed.
to reduce redux strength I use comfyui conditioning average node according to : https://www.reddit.com/r/StableDiffusion/comments/1gwqm2c/flux_redux_is_cool_but_very_strong_so_here_are_a/
result like:
check that image quality drop if redux added with some strength.
lower cfg results similarly.
any idea?
same problem
Same problem as well
