| --- |
| license: apache-2.0 |
| base_model: |
| - speridlabs/iris-3b |
| - Qwen/Qwen3-VL-4B-Instruct |
| pipeline_tag: text-to-image |
| library_name: fusor-ai |
| tags: |
| - webassembly |
| - wasm |
| - on-device |
| - text-to-image |
| - depth-estimation |
| - image-to-image |
| - super-resolution |
| --- |
| |
| # Iris-3B, compiled for the browser |
|
|
| speridlabs' [Iris-3B](https://huggingface.co/speridlabs/iris-3b), a pixel-space text-to-image model |
| with a four-step Turbo, a depth estimator and a four-times restorer, compiled with the Qwen3-VL-4B |
| text encoder it reads its prompts through into five [fusor-ai](https://github.com/fusor-rs/fusor-ai) |
| bundles: the weights the browser runtime of |
| [iris-wasm](https://github.com/fusor-rs/iris-wasm) loads to turn a prompt or a photo into an image on |
| the device's CPU. Try it in the Space [fusorlabs/iris-wasm](https://huggingface.co/spaces/fusorlabs/iris-wasm). |
|
|
| - **Sources:** `speridlabs/iris-3b` at revision `adc05b909fb05d4276d26aae5a52b36406b2ef26` and |
| `Qwen/Qwen3-VL-4B-Instruct` at revision `ebb281ec70b05090aa6165b016eac8ec08e71b17`, compiled with |
| the `mix` profile into five bundles, because one WebAssembly memory holds at most 4 GiB and the |
| page runs the text encoder and one transformer at a time: |
| - `text/`: Qwen3-VL's language model up to the last layer Iris reads, and its tokenizer; the |
| feed-forward matrices 4-bit, every other large matrix 7-bit (3105 MB). |
| - `base/`, `turbo/`, `depth/`, `upscaler/`: one transformer each (the base model, its four-step |
| distillation, the depth estimator and the restorer); the feed-forward matrices of the blocks |
| 4-bit, the other large matrices 7-bit, the layers that read straight into or out of pixels in |
| f32 (2558 MB each). The depth and the restorer bundles hold the empty prompt's states. |
| - **Format:** each `manifest.json` lists every tensor and part; each part is named by its BLAKE3 |
| hash, which the runtime checks as it loads. |
| - **Reproduce it:** `just bundles` in iris-wasm downloads the checkpoints and compiles the same |
| bundles. |
| |
| This is not a PyTorch or safetensors checkpoint: it only loads in the iris-wasm runtime. |
|
|
| The models are Apache-2.0 ([LICENSE](LICENSE), [NOTICE](NOTICE)). |
|
|
