OpenMOSS-Team/MOSS-Image-SFT
text-to-image model by OpenMOSS-Team
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
MOSS-Image-SFT is a supervised fine-tuned text-to-image model in the MOSS-Image family from OpenMOSS, derived from MOSS-Image-Base. It uses the same architecture and inference pipeline, supporting natural-language prompts, tag sequences, and JSON layouts for controlling text placement and object arrangement. In this example, SFT produces clearer text grouping and a more organized whiteboard layout. Use Python 3.10 or later and an NVIDIA GPU with CUDA support. Install a PyTorch 2.9 or later build compatible with your CUDA environment, then install: The model and custom pipeline code are downloaded and cached automatically. You can also pass a complete local model directory to frompretrained. The transformer and text encoder use bfloat16; the VAE and initial noise use float32. The bundled VAE uses the FLUX.2 small decoder. For the Gradio interface, CPU offload, and compilation options, follow the project quick start. For ComfyUI, search for MOSS-Image in ComfyUI Manager to install the native plugin.…
Read the full model card ↗ · Preview checked 2026-10-30T12:46:31.405Z
Inside the original model card — Document outline
- MOSS-Image-SFT
- Base vs. SFT
- Quick start
- Sampling settings
- Prompt enhancer skill
- Layout-to-image generation
- Showcase
- Citation
- License and acknowledgements
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
OpenMOSS-Team/MOSS-Image-SFT is a text-to-image model repository published by OpenMOSS-Team on Hugging Face. The source reports the diffusers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-image
- Library
- diffusers
- Recent downloads (30 days)
- 16,291
- Cumulative likes
- 851
- Hugging Face trending score
- 114
- Reported safetensors parameters
- 5,082,308,624
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-11T07:01:17.000Z
- Last modified
- 2026-10-21T01:52:00.000Z
Compatibility and lineage
Reported languages: en, zh
Reported base models: OpenMOSS-Team/MOSS-Image-Base
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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