Instructions to use ashen0209/Flux-Dev2Pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashen0209/Flux-Dev2Pro with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ashen0209/Flux-Dev2Pro", 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
π© Report: Legal issue(s)
#4
by asadas - opened
Model is derived from a model with a license, maintainer refuses to add the license.
You guys are the reason why we can't have nice stuff. keep treading licenses but don't be surprised when it's used against you in the future.

