OzzyGT/MOSS_Image_Base_diffusers
text-to-image model by OzzyGT
Older snapshot: check the original source for current information.
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.
This is OpenMOSS-Team/MOSS-Image-Base converted to the standard diffusers layout, so it runs as a Modular Diffusers pipeline with the custom blocks below instead of the custom pipeline shipped in the original repository. The weights are the original bf16 ones. Note: You need diffusers from main (0.41.0.dev0 or later). You can find ready-to-use scripts in the diffusers-recipes repository. MOSS-Image runs as a Modular Diffusers pipeline built from the MOSS-Image custom blocks, which load the transformer code shipped in this repository (hence trustremotecode and trustcomponentscode). The VAE runs in float32, like the original. Note: both flags run Python code downloaded from the Hub: trustremotecode=True runs the code of the blocks repository, and trustcomponentscode=True runs the code shipped in the componentsrepo. Only use them with repositories you trust, and review their code before passing different ones. With every component on the GPU, generating at 2048x1152 needs more than 32 GB of VRAM. For…
Read the full model card ↗ · Preview checked 2026-10-29T06:56:47.060Z
Inside the original model card — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
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
OzzyGT/MOSS_Image_Base_diffusers is a text-to-image model repository published by OzzyGT 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)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 5,082,308,608
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-20T06:15:49.000Z
- Last modified
- 2026-10-20T06:23:26.000Z
Compatibility and lineage
Reported languages: en
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-20T06:43:37.702Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
stabilityai/stable-diffusion-xl-base-1.0
abenzerps/Qwen-Image-2.1-Uncensored-Quantized