unsloth/Qwen-Image-2.1-GGUF

text-to-image model by unsloth

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Model card & documentation

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This is a GGUF quantized version of Qwen-Image-2.1. unsloth/Qwen-Image-2.1-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. See below for image editing operating inside of Unsloth Desktop: Rendered with the Q4KM denoiser and the Q4KM text encoder, 1024x1024, 20 steps, cfg 6.0, euler. We are excited to open-source Qwen-Image-2.1, a unified text-to-image generation and image editing model in the Qwen family. With just 7B parameters in its visual generation component (32 Single-Stream DiT layers), Qwen-Image-2.1 balances…

unsloth/Qwen-Image-2.1-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-23T09:46:26.785Z

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Model overview

unsloth/Qwen-Image-2.1-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): 0
Cumulative likes: 82
Hugging Face trending score: 82
Reported safetensors parameters: Not reported
Architecture: Not reported
License: other
Access: Not gated by Hugging Face
Created: 2026-09-21T13:04:48.000Z
Last modified: 2026-09-22T22:34:12.000Z

Compatibility and lineage

Reported languages: en, zh

Reported base models: Qwen/Qwen-Image-2.1

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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Model card and usage instructions

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