ThetaCursed / ComfyUI-MOSSImageTextEncoder

# ComfyUI-MOSSImageTextEncoder
Feeds a reference image through the Qwen3.5-9B **vision tower** and inserts its visual embeddings directly into the text prompt. The image conditions the generation natively through the text encoder.
**Note:** This node is for vision/conditioning, not image editing.
## Workflow
A ready-to-use example workflow is included in the repository: `workflow.json`.
Simply drag and drop the `workflow.json` file directly into your ComfyUI workspace to load the entire setup.
## Requirements
* `qwen3.5_9b_*.safetensors` text encoder, `moss_image_*.safetensors` diffusion model,
 `flux2-vae*.safetensors` (for decoding only).
* Load the text encoder through **CLIPLoader** with type **`moss_image`**.
* Latents: use the core **Empty Flux 2 Latent** node (128 channels).
## Text Encode (MOSS-Image Vision)
| Input | Type | Notes |
|-------|------|-------|
| `clip` | CLIP | CLIPLoader → type `moss_image`. |
| `prompt` | STRING | Your text prompt. |
| `negative_prompt` | STRING | Optional negative conditioning. |
| `image` | IMAGE | Optional reference image. A batch is treated as multiple references. |
| `image_weight` | FLOAT | Reference influence applied before the vision tower: `0` ignores it, `1` standard, ` 1` pushes away from gray. |
| `vision_megapixels` | FLOAT | Max size per reference before the vision tower. Oversized images are downscaled, smaller ones kept native (never upscaled). Default `1.0`. |
| `system_prompt` | STRING | Optional system instruction prepended to the prompt. Empty matches MOSS-Image's normal conditioning. |
| `print_prompt` | BOOLEAN | Dump the assembled Qwen3.5 prompt to the console. |
**Outputs:** `positive`, `negative` (CONDITIONING).
## Typical wiring
 [code] 
Start with `image_weight = 1.0`, `vision_megapixels = 1.0`, denoise `1.0`.
## Install
 [code] 
Restart ComfyUI — that's it, the node is installed. Then drag `workflow.json` in and go.
## License
MIT — see LICENSE.