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Unsloth AI on X: "Qwen-Image-2.1 can now run locally on 12GB VRAM with Unsloth GGUFs! 🖼️ The 7B model performs on par with Nano Banana 2.0. For higher quality, you can also run Dynamic FP8 on just 6GB of VRAM via offloading. GGUF: https://t.co/gRDt6cJWfe Guide: https://t.co/Xijw16FKqd"

@UnslothAI
Unsloth AI
@UnslothAI
Qwen-Image-2.1 can now run locally on 12GB VRAM with Unsloth GGUFs! 🖼️ The 7B model performs on par with Nano Banana 2.0. For higher quality, you can also run Dynamic FP8 on just 6GB of VRAM via offloading. GGUF: huggingface.co/unsloth/Qwen-I… Guide: unsloth.ai/docs/models/qw…
@Alibaba_Qwen
Qwen
@Alibaba_Qwen
Sep 20
Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨 A unified model for both generation and editing, delivering top-tier quality in a lightweight package. Highlights: 👀 - Compact & exceptionally fast:
4:14 PM · Sep 22, 2026·
359.7K
Views
75

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Run and train models locally with the Unsloth Desktop app. 🦥 https://t.co/2kXqhhvdCD

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  • @UnslothAI
    Unsloth AI
    @UnslothAI
    Qwen-Image-2.1 can now run locally on 12GB VRAM with Unsloth GGUFs! 🖼️ The 7B model performs on par with Nano Banana 2.0. For higher quality, you can also run Dynamic FP8 on just 6GB of VRAM via offloading. GGUF: huggingface.co/unsloth/Qwen-I… Guide: unsloth.ai/docs/models/qw…
    @Alibaba_Qwen
    Qwen
    @Alibaba_Qwen
    Sep 20
    Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨 A unified model for both generation and editing, delivering top-tier quality in a lightweight package. Highlights: 👀 - Compact & exceptionally fast:
    4:14 PM · Sep 22, 2026·
    359.7K
    Views
    75
  • @UnslothAI
    Unsloth AI
    @UnslothAI
    Sep 23
    Qwen-Image-2.1 FP8 and GGUF quants should now run properly in Unsloth Desktop! 💜 Image gen and editing are both supported. GitHub: github.com/unslothai/unsl…
    5
  • @Insight_xFF
    Insight_xFF
    @Insight_xFF
    Sep 22
    Is it just me.. or why is running diffusion models still such a PITA. The tools are made by cracks for cracks. They need more of an Apple touch... Comfyui tries to break it, but imo its still not there.. Its less confusing to just use a python script overall...