Instructions to use black-forest-labs/FLUX.1-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-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-dev", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Genuine User Reviews and Questions on Repo black-forest-labs/FLUX.1-dev
Hi black-forest-labs team,
Your released model & dataset FLUX.1-dev are brilliant! We are currently collecting genuine user reviews from the web, as well as feedback and questions raised about your repos, apps or demos, to summarize and provide useful feedback to the repo owner via a pull request (PR) and discussion. We have collected a few reviews and questions from the web and social media on your FLUX.1-dev, and here is a summary.
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Would you like to help review this summary and see if you can help answer their questions or provide more comments and feedbacks?
Regards,
DeepNLP team,
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