Instructions to use SceneWorks/krea-2-raw-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/krea-2-raw-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir krea-2-raw-mlx SceneWorks/krea-2-raw-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 587 Bytes
8dc5d45 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | {
"_class_name": "Krea2Pipeline",
"_diffusers_version": "0.39.0.dev0",
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"text_encoder": [
"transformers",
"Qwen3VLModel"
],
"text_encoder_select_layers": [
2,
5,
8,
11,
14,
17,
20,
23,
26,
29,
32,
35
],
"tokenizer": [
"transformers",
"Qwen2Tokenizer"
],
"transformer": [
"diffusers",
"Krea2Transformer2DModel"
],
"vae": [
"diffusers",
"AutoencoderKLQwenImage"
],
"is_distilled": false,
"patch_size": 2
} |