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)
#3
by deus-ex-machina - opened
As this is based on Flux Dev, this model is still subject to the Flux Dev license and cannot be relicensed as Apache 2.0.
https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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if we look at structure of dev model its same like aura-flow ,,, so if this model retrained on new data this license fall down,,, (we know the dev model is aura-flow model trained on new data also !)