Image-to-Image
Safetensors
MLX
mlx-gen
mflux
apple-silicon
4-bit precision
seedvr2
image-upscaling
super-resolution
Instructions to use AbstractFramework/seedvr2-7b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/seedvr2-7b-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir seedvr2-7b-4bit AbstractFramework/seedvr2-7b-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Upload folder using huggingface_hub
Browse files- README.md +82 -0
- transformer/0.safetensors +3 -0
- transformer/1.safetensors +3 -0
- transformer/2.safetensors +3 -0
- transformer/model.safetensors.index.json +0 -0
- vae/0.safetensors +3 -0
- vae/model.safetensors.index.json +274 -0
README.md
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| 1 |
+
---
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license: apache-2.0
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base_model: ByteDance-Seed/SeedVR2-7B
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pipeline_tag: image-to-image
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library_name: mlx-gen
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tags:
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- mlx
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- mlx-gen
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- mflux
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- apple-silicon
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- 4-bit
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- seedvr2
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- image-upscaling
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- super-resolution
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---
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# seedvr2-7b-4bit
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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).
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It uses the mflux/MLX saved-weight layout. Quantized checkpoints include MLX quantization tensors. It is not a Diffusers or Transformers `from_pretrained()` checkpoint.
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## Source Model
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Original model: [`ByteDance-Seed/SeedVR2-7B`](https://huggingface.co/ByteDance-Seed/SeedVR2-7B).
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## License and Access
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This quantized derivative follows the Apache 2.0 license of the source model.
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## Quantization
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This is an MLX 4-bit checkpoint for SeedVR2 7B image super-resolution.
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- q4 for quantizable SeedVR2 transformer linears and VAE attention linears.
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- BF16 for convolutions, normalization layers, and other non-quantizable parameters.
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- The static SeedVR2 positive embedding is provided by the MLX-Gen runtime.
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See the [MLX-Gen quantization docs](https://github.com/lpalbou/mlx-gen/blob/main/docs/quantization.md) for compatibility notes and measured behavior.
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## Validation
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Measured on an Apple M5 Max with 128 GB unified memory using `mlx-gen 0.18.13`.
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The profile upscales `docs/assets/upscaling/seedvr2-5x-source.jpg` from `133x113`
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to `658x560` with `--resolution 5x --seed 42 --metadata`.
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| Package | Storage | Generation time | Wall time | Max RSS |
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| --- | ---: | ---: | ---: | ---: |
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| `ByteDance-Seed/SeedVR2-7B` source generation files | 31.63 GiB | 2.64 s | 8.69 s | 61.62 GiB |
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| `AbstractFramework/seedvr2-7b-4bit` | 4.79 GiB | 2.21 s | 3.24 s | 5.10 GiB |
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See the [SeedVR2 upscaling guide](https://github.com/lpalbou/mlx-gen/blob/main/docs/upscaling.md)
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for the 3B/7B source, q8, and q4 comparison sheet generated from this profile.
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## Compatibility
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Requires `mlx-gen >= 0.18.13`.
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Generated with `mlx-gen 0.18.13`.
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Use `mlxgen download` and `mlxgen upscale` for this SeedVR2 package.
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## Usage
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```bash
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python -m pip install -U mlx-gen
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mlxgen download --model AbstractFramework/seedvr2-7b-4bit
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mlxgen upscale \
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--model AbstractFramework/seedvr2-7b-4bit \
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--image-path input.png \
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--resolution 2x \
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--seed 42 \
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--metadata \
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--output upscaled.png
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```
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## Attribution
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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.
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Quantized and contributed by [@lpalbou](https://huggingface.co/lpalbou).
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transformer/2.safetensors
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version https://git-lfs.github.com/spec/v1
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transformer/model.safetensors.index.json
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vae/0.safetensors
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version https://git-lfs.github.com/spec/v1
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vae/model.safetensors.index.json
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| 1 |
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{
|
| 2 |
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"metadata": {
|
| 3 |
+
"quantization_level": "4",
|
| 4 |
+
"mflux_version": "0.18.13"
|
| 5 |
+
},
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| 6 |
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"weight_map": {
|
| 7 |
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