| --- |
| license: apache-2.0 |
| base_model: OpenMOSS-Team/MOSS-Image-SFT |
| pipeline_tag: text-to-image |
| library_name: onnxruntime |
| tags: |
| - onnx |
| - webgpu |
| - moss-image |
| --- |
| # MOSS W4 with unmerged FP32 DMD LoRA for browser inference |
|
|
| An experimental browser conversion prepared from these pinned upstream assets: |
|
|
| - [smile-forge/moss-image-onnx](https://huggingface.co/smile-forge/moss-image-onnx/tree/1b6c0496cfcbfa53426245bd084d01d85ca0326e) at `1b6c0496cfcbfa53426245bd084d01d85ca0326e` (Apache-2.0). |
| - [lodestones/MOSS-Image-SFT-8-steps-dmd](https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd/tree/f95df83b5e90ae91ea412434b3f9b7f1c8c6314f) at `f95df83b5e90ae91ea412434b3f9b7f1c8c6314f` (Apache-2.0). |
| - [OpenMOSS-Team/MOSS-Image-SFT](https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT/tree/f972bd4b4b9e3852133cc5da954d87bc32cd8fb9) at `f972bd4b4b9e3852133cc5da954d87bc32cd8fb9` (Apache-2.0). |
|
|
| ## Conversion and inference profile |
|
|
| The image transformer was converted from the Smile Forge W8 ONNX export to |
| experimental W4 RTN, block size 32. The DMD `lora_latest.safetensors` adapter |
| is applied unmerged in FP32 at strength 0.7 over the unchanged W4 base files. |
| The Qwen3.5-9B text encoder uses FP16 weights/activations, FP32 projection |
| accumulation and browser attention state; it encodes the user's prompt at run |
| time, with a 128-token limit. No precomputed caption embeddings are included. |
| The decoder is the original FP16 ONNX export. Original external filenames |
| are retained so each ONNX graph resolves the adjacent binary files. |
|
|
| The `*-fullhd.onnx` derivatives split image attention queries into 16 chunks |
| and decoder queries into 32 chunks with independent dynamic balanced Slice |
| nodes. This avoids high-output-count Split kernels exceeding WebGPU storage |
| buffer limits. Every |
| query retains all original keys/values. The first two text-only MHA refiners |
| remain unsplit. No denoiser/decoder weights or LoRA matrices are modified by |
| this packaging step. Modified ONNX graph metadata records this transformation. |
| The legacy `fullhd` names are retained; chunks support varying sequence lengths |
| at least the chunk count, including small and uneven final chunks. |
|
|
| The intended app profile is 16 release shift-5 Euler steps, CFG disabled, |
| guidance 1. This is not the upstream data-space DMD generator/sampler. The |
| minimum host memory setting is 32 GiB, with 64 GiB recommended. Runtime target |
| is onnxruntime-web 1.30.0 with WebGPU and shader-f16. Device compatibility, |
| quality and all image sizes require real GPU checks; ONNX validation and CPU |
| attention equivalence tests alone do not establish end-to-end support. |
|
|
| ## Files, verification and publication |
|
|
| `publication-plan.json` records the public runtime inventory, byte counts, |
| SHA-256 values, source pins and conversion provenance. `text/text.json` is the |
| unaltered conversion manifest; its unused `noise.f32` fixture record does not |
| require shipping that fixture. Runtime files omit every fixed noise/caption |
| fixture. README, LICENSE and NOTICE are public attribution files and do not |
| need to be cached by the app. The offline packager never uploads or authenticates. |
| After upload, supply the real repository and immutable uploaded commit to |
| `scripts/prepare-moss-assets.py --repository OWNER/REPO --revision COMMIT` to |
| generate the app's `manifest-draft.json`; no remote repository is invented. |
|
|
| ## License and attribution |
|
|
| Upstream model cards declare Apache-2.0 for the base model, ONNX conversion and |
| DMD adapter. See LICENSE for the complete Apache License 2.0 and NOTICE for |
| attribution and modification notices. This package is an independent conversion; |
| it does not imply endorsement by OpenMOSS, Qwen, FLUX, Smile Forge or lodestones. |
|
|
