Image-to-Image
Safetensors
MLX
mlx-gen
mflux
apple-silicon
8-bit precision
seedvr2
image-upscaling
super-resolution
Instructions to use AbstractFramework/seedvr2-7b-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/seedvr2-7b-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir seedvr2-7b-8bit AbstractFramework/seedvr2-7b-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| license: apache-2.0 | |
| base_model: ByteDance-Seed/SeedVR2-7B | |
| pipeline_tag: image-to-image | |
| library_name: mlx-gen | |
| tags: | |
| - mlx | |
| - mlx-gen | |
| - mflux | |
| - apple-silicon | |
| - 8-bit | |
| - seedvr2 | |
| - image-upscaling | |
| - super-resolution | |
| # seedvr2-7b-8bit | |
| This repository contains MLX-Gen saved weights for `ByteDance-Seed/SeedVR2-7B`. The checkpoint is designed for local Apple Silicon inference with [`mlx-gen`](https://github.com/lpalbou/mlx-gen). | |
| It uses the mflux/MLX saved-weight layout. Quantized checkpoints include MLX quantization tensors. It is not a Diffusers or Transformers `from_pretrained()` checkpoint. | |
| ## Source Model | |
| Original model: [`ByteDance-Seed/SeedVR2-7B`](https://huggingface.co/ByteDance-Seed/SeedVR2-7B). | |
| ## License and Access | |
| This quantized derivative follows the Apache 2.0 license of the source model. | |
| ## Quantization | |
| This is an MLX 8-bit checkpoint for SeedVR2 7B image super-resolution. | |
| - q8 for quantizable SeedVR2 transformer linears and VAE attention linears. | |
| - BF16 for convolutions, normalization layers, and other non-quantizable parameters. | |
| - The static SeedVR2 positive embedding is provided by the MLX-Gen runtime. | |
| See the [MLX-Gen quantization docs](https://github.com/lpalbou/mlx-gen/blob/main/docs/quantization.md) for compatibility notes and measured behavior. | |
| ## Validation | |
| Measured on an Apple M5 Max with 128 GB unified memory using `mlx-gen 0.18.13`. | |
| The profile upscales `docs/assets/upscaling/seedvr2-5x-source.jpg` from `133x113` | |
| to `658x560` with `--resolution 5x --seed 42 --metadata`. | |
| | Package | Storage | Generation time | Wall time | Max RSS | | |
| | --- | ---: | ---: | ---: | ---: | | |
| | `ByteDance-Seed/SeedVR2-7B` source generation files | 31.63 GiB | 2.64 s | 8.69 s | 61.62 GiB | | |
| | `AbstractFramework/seedvr2-7b-8bit` | 8.62 GiB | 2.29 s | 3.36 s | 8.90 GiB | | |
| See the [SeedVR2 upscaling guide](https://github.com/lpalbou/mlx-gen/blob/main/docs/upscaling.md) | |
| for the 3B/7B source, q8, and q4 comparison sheet generated from this profile. | |
| ## Compatibility | |
| Requires `mlx-gen >= 0.18.13`. | |
| Generated with `mlx-gen 0.18.13`. | |
| Use `mlxgen download` and `mlxgen upscale` for this SeedVR2 package. | |
| ## Usage | |
| ```bash | |
| python -m pip install -U mlx-gen | |
| mlxgen download --model AbstractFramework/seedvr2-7b-8bit | |
| mlxgen upscale \ | |
| --model AbstractFramework/seedvr2-7b-8bit \ | |
| --image-path input.png \ | |
| --resolution 2x \ | |
| --seed 42 \ | |
| --metadata \ | |
| --output upscaled.png | |
| ``` | |
| ## Attribution | |
| MLX-Gen is based on [mflux](https://github.com/filipstrand/mflux) by Filip Strand and the original mflux contributors. This model card is generated by MLX-Gen so derived checkpoints keep that attribution visible. | |
| Quantized and contributed by [@lpalbou](https://huggingface.co/lpalbou). | |