unsloth/Qwen-Image-2512-GGUF

text-to-image model by unsloth

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This is a GGUF quantized version of Qwen-Image-2512. unsloth/Qwen-Image-2512-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. 🖥️ Demo&nbsp&nbsp | &nbsp&nbsp💬 WeChat (微信)&nbsp&nbsp | &nbsp&nbsp🫨 Discord&nbsp&nbsp| &nbsp&nbsp Github&nbsp&nbsp We are excited to introduce Qwen-Image-2512, the December update of Qwen-Image’s text-to-image foundational model. You are welcome to try the latest model at Qwen Chat. Compared to the base Qwen-Image model released in August, Qwen-Image-2512 features the following key improvements: We conducted over 10,000 rounds of blind model evaluations on AI Arena, and the results show that Qwen-Image-2512 is currently the strongest open-source model—while remaining highly competitive even among closed-source models. Install the latest version of diffusers The following contains a code snippet illustrating how to use Qwen-Image-2512: Enhanced Huamn Realism In Qwen-Image-2512, human depiction has been substantially refined. Compared to the August release, Qwen-Image-2512 adds significantly richer facial details and better environmental context. For example: For the same prompt, Qwen-Image-2512 yields…

unsloth/Qwen-Image-2512-GGUF on Hugging Face A short preview, not the full document.

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Model overview

unsloth/Qwen-Image-2512-GGUF is a text-to-image model repository published by unsloth on Hugging Face. A library was not reported.

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: Not reported
Recent downloads (30 days): 362,143
Cumulative likes: 430
Hugging Face trending score: 3
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2025-12-30T08:09:37.000Z
Last modified: 2026-10-29T10:37:34.000Z

Compatibility and lineage

Reported languages: en, zh

Reported base models: Qwen/Qwen-Image-2512

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.

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:31.475Z. Daily imports are snapshots, not real-time monitoring.

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