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ComfyUI-MOSSImageTextEncoder

ComfyUI node that feeds a reference image through the Qwen3.5-9B vision tower and injects its embeddings into the text prompt (MOSS-Image conditioning)

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GITHUB · launched Oct 21, 2026 · 41 upvotes (top 32%)

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Could you build this?

Partial The ComfyUI node wrapper is standard plumbing a vibe-coder can produce, but injecting vision-tower embeddings into the text prompt requires model-specific knowledge of how MOSS-Image conditions on them, plus a GPU and large model weights.

What it would actually take: Build it as a Python custom node that loads the Qwen vision encoder via Hugging Face transformers, runs the reference image through it, and splices the resulting embeddings into the text encoder's input sequence in the layout MOSS-Image expects. The hard part is reverse-engineering the exact conditioning format from the model's code or paper, which needs familiarity with multimodal transformer internals and CUDA-capable hardware to test.

Competitors

Other products that read as similar to this one : 115 launches clear the similarity bar, closest 8 shown.

Attention rank: #33 of 116 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 240 days after the earliest competitor.

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