Iris-3B Turbo, OpenVINO INT8
This repo is the Iris-3B Turbo checkpoint converted to OpenVINO IR, with INT8 weights. Iris-3B is a 3B-parameter text-to-image diffusion transformer that works directly on pixels, so there's no VAE. The Turbo checkpoint is distilled to 4 steps with no CFG.
This model can be used with FastSDCPU
Inference uses only openvino, numpy, pillow and tokenizers. It doesn't need PyTorch, transformers or diffusers.
| Resolution | 1024×1024, batch 1 (fixed at export) |
| Steps | 4 (distilled), no guidance scale, no negative prompt |
| Prompt length | Up to 295 tokens (Qwen tokenizer) |
| Time per image | 86–97 s on an Intel Core i7-12700 (CPU) |
| Peak RAM | About 7 GB with low_memory=True, about 14 GB without |
| Download size | 6.9 GB |
| Tested with | OpenVINO 2026.2.0, Python 3.12, Windows 11 |
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