Instructions to use SceneWorks/flux1-dev-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SceneWorks/flux1-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/flux1-dev-mlx", 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/flux1-dev-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download SceneWorks/flux1-dev-mlx --local-dir flux1-dev-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Draw Things
- DiffusionBee
- Atomic Chat
Download bf16/tokenizer_2/spiece.model from SceneWorks/flux1-dev-mlx: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
-
https://huggingface.co/SceneWorks/flux1-dev-mlx/resolve/main/bf16/tokenizer_2/spiece.model
- Command line
-
hf download hf://SceneWorks/flux1-dev-mlx/bf16/tokenizer_2/spiece.model
-
curl -L -o spiece.model https://huggingface.co/SceneWorks/flux1-dev-mlx/resolve/main/bf16/tokenizer_2/spiece.model
792 kB
- Xet hash:
- e7463c1c6b7c46ae0de79b004f3d7318bf4307ef0bef4de3be2e38ae80fab160
- Size of remote file:
- 792 kB
- SHA256:
- d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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