OzzyGT/MOSS_Image_Base_sdnq_dynamic_4bit
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.
Left: original bf16 · Right: this INT4 model (same prompt and seed). This is a dynamic 4-bit quantized version of OpenMOSS-Team/MOSS-Image-Base using SDNQ. Both the transformer and the Qwen3.5 text encoder are quantized; the VAE is kept unquantized. Note: You need SDNQ v0.2.8 or superior and 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. Import sdnq before loading so the quantized weights are registered. The whole pipeline…
Read the full model card ↗ · Preview checked 2026-10-29T06:59:50.303Z
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_sdnq_dynamic_4bit 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
- 2,720,063,488
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-20T06:24:47.000Z
- Last modified
- 2026-10-20T06:28:54.000Z
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