Users report strong local image generation performance relative to code generation
2 Sep 20 9:45 AM · 6d ago · 2 comments · 1 source · development 2 of 7
Hacker News commenter fishfasell noted that local text-to-image capabilities are currently outperforming local code generation in terms of speed and quality, contrasting general expectations about AI model capabilities.
“The capabilities of local LLM text-to-image is honestly pretty damn impressive…I can get an image in seconds locally with the quality being way higher than what I'd expect from a local model.”
fishfasellAlibaba Qwen Team Developer
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What people said 4 voices · verbatim
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Qwen-Image-2.1 is now supported in ComfyUI! Try it now and share your creations! 🖼️
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The capabilities of local LLM text-to-image is honestly pretty damn impressive. IMO, I think local image generation is currently ahead of local code generation. I can get an image in seconds locally with the quality being way higher than what I'd expect from a local model. However with coding it's much slower and much less impressive. I'm sure…
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How do you use this model locally, similarly to using `llama-server -m <model>`?(I mean: outside direct or substantial use of Python, and running the Neural Network in the most efficient way.)
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God I love the Qwen team. Easily the most diverse set of models from all the Chinese labs. Only Gemini/DeepMind comes close.
All 7 developments of Alibaba releases Qwen-Image-2.1, compact open-weight image… →
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