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  # QWEN-IMAGE Model |nf4|+Abliterated Qwen2.5VL-7b
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  This repo contains a variant of QWEN's **[QWEN-IMAGE](https://huggingface.co/Qwen/Qwen-Image)**, the state-of-the-art generative model with extensive and (image/)text-to-image &/or instruction/control-editing capabilities. <br>
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  To make these cutting edge capabilities more accessible to those constrained to low-end consumer-grade hardware, **we've quantized the DiT (Diffusion Transformer) component of Qwen-Image to the 4-bit NF4 format** using the Bits&Bytes toolkit.<br>
 
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  This optimization was derived by us directly from the BF16 base model weights released on 08/04/2025, with no other mix-ins or modifications to the DiT component. <br>
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  **QWEN-IMAGE** is an open-weights customization-friendly frontier model released under the highly permissive Apache 2.0 license, welcoming unrestricted (within legal limits) commercial, experimental, artistic, academic, and other uses &/or modifications. <br>
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  To help highlight horizons of possibility broadened by the **QWEN-IMAGE** release, our quantization is bundled with an "Abliterated" (aka de-censored) finetune of [Qwen2.5-VL 7B Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct), QWEN-IMAGE model's sole conditioning encoder (of prompts, instructions, input images, controls, etc), as well as a powerful Vision-Language-Model in its own right. <br>
 
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  # QWEN-IMAGE Model |nf4|+Abliterated Qwen2.5VL-7b
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  This repo contains a variant of QWEN's **[QWEN-IMAGE](https://huggingface.co/Qwen/Qwen-Image)**, the state-of-the-art generative model with extensive and (image/)text-to-image &/or instruction/control-editing capabilities. <br>
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  To make these cutting edge capabilities more accessible to those constrained to low-end consumer-grade hardware, **we've quantized the DiT (Diffusion Transformer) component of Qwen-Image to the 4-bit NF4 format** using the Bits&Bytes toolkit.<br>
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+ *NOTE: Install `bitsandbytes` prior to inference.*
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  This optimization was derived by us directly from the BF16 base model weights released on 08/04/2025, with no other mix-ins or modifications to the DiT component. <br>
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  **QWEN-IMAGE** is an open-weights customization-friendly frontier model released under the highly permissive Apache 2.0 license, welcoming unrestricted (within legal limits) commercial, experimental, artistic, academic, and other uses &/or modifications. <br>
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  To help highlight horizons of possibility broadened by the **QWEN-IMAGE** release, our quantization is bundled with an "Abliterated" (aka de-censored) finetune of [Qwen2.5-VL 7B Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct), QWEN-IMAGE model's sole conditioning encoder (of prompts, instructions, input images, controls, etc), as well as a powerful Vision-Language-Model in its own right. <br>