Instructions to use SceneWorks/flux2-dev-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SceneWorks/flux2-dev-mlx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SceneWorks/flux2-dev-mlx", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - MLX
How to use SceneWorks/flux2-dev-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir flux2-dev-mlx SceneWorks/flux2-dev-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Draw Things
- DiffusionBee
- Xet hash:
- 58258e1a436e4ba5b7e40665c0f8fc6f18f9e626c90ef557968523fc135bcc0d
- Size of remote file:
- 26.6 GB
- SHA256:
- 4bfa082f5a8fd1bcc297ebb65423c4cc3bdc8ee295e6063dfa1d0dec0ed91541
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