VQV Signal
According to a post on X by @tori29umai, the author built a fully automatic outfit-swap setup for ComfyUI. A custom QwenVL-based node analyzes two input images and converts them into JSON, and a second node uses that output to generate a P-H3-Image prompt. The post has about 85 likes and 51 bookmarks, and another user, SlipperyGem, says they have already installed it.
According to a post on X by @tori29umai, the author built a fully automatic outfit-swap setup for ComfyUI. A custom QwenVL-based node analyzes two input images and converts them into JSON, and a second node uses that output to generate a P-H3-Image prompt. The post has about 85 likes and 51 bookmarks, and another user, SlipperyGem, says they have already installed it.
AI-assisted summary based on the listed source.
tori29umai built a fully automatic outfit swap: a custom QwenVL-based node analyzes two input images into JSON, and a second node turns that into a P-H3-Image prompt. The post has about 85 likes and 51 bookmarks, and SlipperyGem says they've already installed it. Why it matters: Chaining a vision model into the...
The workflow feeds a vision model directly into the prompt step, so routine edits such as costume changes may no longer need a hand-written prompt. ComfyUI and P-H3-Image users are the most likely to test it, and the key thing to watch is whether others report it working reliably on their own images. VQV has not independently tested the workflow.
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VQV surfaced this signal because it is recent, relevant to Open Source LLMs, connected to Scobleizer News Pulse (X).
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