diffusion
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View details ↗DISCOVER & COMPARE
Explore AI models 31
docling-gguf
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View details ↗fara-7b-gguf
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View details ↗fastvlm-gguf
gguf-org> >GGUF file(s) available. Select which one to use: > >1. fastvlm-0.5b-iq4_nl.gguf >3. fastvlm-0.5b-q4_0.gguf >4. fastvlm-0.5b-q8_0.gguf > >Enter your choice (1 to 3): _ > - opt a `gguf` file in your current directory to interact with; nothing else
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View details ↗flux-dev-gguf
gguf-org基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗flux-kontext-gguf
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View details ↗flux2-dev-gguf
gguf-orgq2 works (see the one on right) but if you replace it by a higher tier encoder, then it will follow the prompt preciously; wishing you all a very happy Thanksgiving! 🦃
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View details ↗flux3-image-klein-gguf
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View details ↗gemma-3-1b-it-gguf
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View details ↗gemma-3-1b-pt-gguf
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View details ↗gemma-3-270m-gguf
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View details ↗gemma-3-270m-it-gguf
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View details ↗gemma-4-e2b-it-gguf
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View details ↗gudio
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View details ↗holo-gguf
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View details ↗iris-3b-gguf
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View details ↗krea-2-gguf
gguf-orgnote: feel free to test nvfp4 and mxfp4 on `gguf` node and/or `gguf-desktop` ⚽🐖 *btw, you could make all the other quant types yourself with `Quant` tab from `gguf-desktop` and test it one by one; enjoy your long weekend
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View details ↗lens-gguf
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View details ↗ltx2.3-gguf
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View details ↗ltx2-gguf
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View details ↗mageflow-gguf
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View details ↗ming-image-gguf
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View details ↗moss-image-gguf
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View details ↗pig-clip
gguf-orgsince LLM in diffusion model basically serves as text encoder, which means its primary goal/function is delivering a prompt to the generator precisely, no talk, no deep reasoning, no long response, make it as simple as possible simply replace `--t5xxl t5xxl.gguf` with `--llm pig_clip-nvfp4.gguf --llm-adapter pig_t5_adapter-f16.gguf`
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