Instructions to use MATLOWAI/MOSS-Image-SFT-DeBand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use MATLOWAI/MOSS-Image-SFT-DeBand with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
Today
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Link the live comparison viewer
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Add DeBand Strong, research write-up, comparison viewer and tools
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3 days ago
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Turbo: note the 1 MP limit, add experimental Turbo hi-res preset, link the int8 repo
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Track downloads: library_name diffusion-single-file
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Model tree: adapter of SFT only
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Rename to SFT DeBand: preset results, size sweep, one banding scale
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README: direct download links for every file the workflows need
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README: TL;DR and examples first; new default prompt in preset workflows; before/after and preset showcase images
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Add preset workflows, Quality+ extra fix, split-qkv fix and split SFT model for rapid-moss
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Thank Kijai
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Note that Base + rank-512 LoRA bands like SFT
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Link Kijai's MOSS-Image LoRAs
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Show all six test grids, including the ones where Kijai's fix scores lower
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Add L37-41 banding fix LoRA, README, analysis and tools
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