Image-to-Image
MLX
seedvr2
mflux
mlx-swift
super-resolution
image-upscaling
diffusion
quantized
apple-silicon
Instructions to use benc0/SeedVR2-7B-mlx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use benc0/SeedVR2-7B-mlx-int8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SeedVR2-7B-mlx-int8 benc0/SeedVR2-7B-mlx-int8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 600 Bytes
20eb114 | 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 | {
"model_type": "seedvr2",
"variant": "seedvr2-7b",
"transformer_overrides": {
"vid_dim": 3072,
"heads": 24,
"num_layers": 36,
"mm_layers": 36,
"rope_dim": 64,
"rope_on_text": false,
"rope_freqs_for": "pixel",
"mlp_type": "normal",
"use_output_ada": false,
"last_layer_vid_only": false
},
"pos_emb_shape": [
58,
5120
],
"dtype": "float16",
"upstream": "ByteDance-Seed/SeedVR (Apache-2.0)",
"mlx_reference": "filipstrand/mflux",
"pytorch_weights": "numz/SeedVR2_comfyUI",
"quantization": {
"bits": 8,
"group_size": 64
}
} |