AI is happening. The future is updating.MOSS-Image-SFT-4-steps
> β‘ **Demo:** MOSS-Image 4-Step Turbo Space > π **v2.0 (2026-10-18) β major update, usage changed.** The model is now > **Euler-native**: a single `lora.safetensors` that runs on the **stock > flow-matching Euler sampler** (any LoRA loader, 4 steps, CFG 1) β the custom > data-space sampler and the `time_embedding.safetensors` / > `dataspace.safetensors` files are **no longer needed and were removed from > the repo root**. If you used v1.x adapters, grab the old data-space variant > from `checkpoint-update-400/` (it keeps its own sampler), or switch to the > new one-line loader below. New users: just follow the Quickstart. The fastest high-fidelity MOSS-Image-SFT: **4 steps, no CFG, one LoRA file, stock sampler.** No custom loop, no auxiliary safetensors, no pipeline patches β it drops into any standard LoRA loader.
> β‘ **Demo:** MOSS-Image 4-Step Turbo Space > π **v2.0 (2026-10-18) β major update, usage changed.** The model is now > **Euler-native**: a single `lora.safetensors` that runs on the **stock > flow-matching Euler sampler** (any LoRA loader, 4 steps, CFG 1) β the custom > data-space sampler and the `time_embedding.safetensors` / > `dataspace.safetensors` files are **no longer needed and were removed from > the repo root**. If you used v1.x adapters, grab the old data-space variant > from `checkpoint-update-400/` (it keeps its own sampler), or switch to the > new one-line loader below. New users: just follow the Quickstart. The fastest high-fidelity MOSS-Image-SFT: **4 steps, no CFG, one LoRA file, stock sampler.** No custom loop, no auxiliary safetensors, no pipeline patches β it drops into any standard LoRA loader.