Instructions to use SceneWorks/qwen-image-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SceneWorks/qwen-image-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/qwen-image-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/qwen-image-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download SceneWorks/qwen-image-mlx --local-dir qwen-image-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Draw Things
- DiffusionBee
- Atomic Chat
Download bf16/tokenizer/tokenizer.json from SceneWorks/qwen-image-mlx: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/SceneWorks/qwen-image-mlx/resolve/main/bf16/tokenizer/tokenizer.json
- Command line
-
hf download hf://SceneWorks/qwen-image-mlx/bf16/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SceneWorks/qwen-image-mlx/resolve/main/bf16/tokenizer/tokenizer.json
11.4 MB
- Xet hash:
- 2f127f266c3f7219baaeb5f54dc636c79952102d7cdbe3e6fb298d9363934610
- Size of remote file:
- 11.4 MB
- SHA256:
- 6b4360dd6a184650ffc48056c2569bc603f896c5adfe94b10f1c79f809638aa5
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