Saya Image Review · Continue / Restart New Seed
The 'like it or roll again' checkpoint that gates your whole pipeline
- image
- image
- candidate_manifest
This node is the human gate at the end of pass 1. In the pack's six-pass automated pipeline, phase 1 is base generation - and before the workflow burns an hour running hires, a refiner, upscales and detailers on an image you hate, somebody has to look at it and decide: continue, or throw it away and roll a new seed. SayaImageGenerationReview is that somebody. It's an output node that saves the phase-1 result to disk and pops a preview in your browser with two buttons - CONTINUE · PASSE 2 and RESTART · NOUVELLE SEED.
The flow is built into the node's frontend behavior, so it works automatically: when the node finishes executing, it writes the image as a phase-1 candidate (image plus a JSON manifest), shows the real preview, and waits. Click Continue and it validates the candidate (promotes it to the approved checkpoint), unloads VRAM, and queues pass 2 a couple of seconds later. Click Restart and it discards the candidate, rolls a fresh random seed into your master seed node, and re-runs pass 1 - deliberately without unloading, so rerolls are fast and you're not reloading the checkpoint each time you reject an image.
The inputs that matter
image- your finished phase-1 output, decoded.seed- the seed used, so the manifest records exactly what produced this image.positive_prompt/negative_prompt- the prompts, recorded into the manifest.models_json/vaes_json/samplers_json- JSON describing which checkpoint, VAEs and sampler settings were used. Important to understand: these are record-keeping, not execution. Nothing here controls what runs; the values are written into the manifest so a later phase (or you, debugging later) knows what produced the candidate.checkpoint_root- where the checkpoint files live, relative to ComfyUI's output folder. Defaultimage/checkpoints, which resolves toComfyUI/output/image/checkpoints/.
Outputs are image (passed through) and candidate_manifest (the JSON manifest, also embedded into the saved PNG's metadata as saya_phase_manifest, and exposed to the frontend as saya_review).
When you'd use it
If you're running the author's full auto pipeline, this is the designated end of phase 1 - place it after your base sampler's VAE decode. If you're not running that pipeline, skip it; a plain SaveImage/PreviewImage plus manual judgment does the same job without the checkpoint ceremony. The value here is entirely the automation: one review point that decides whether five more expensive passes run.
Honest caveats: the review popup is driven by the pack's bundled frontend JS, so if your ComfyUI is running in an unusual frontend or the extension's web/ folder isn't loading, you may not see the buttons - the node still saves the candidate correctly, and you can validate or discard it manually via the HTTP endpoints (/saya/image-phases/validate and /saya/image-phases/redo). The pack is WIP, and phase-1 review is the piece most likely to get UI reshuffles between versions. Also note the UI strings are partly French ("PASSE 1 TERMINÉE") - that's the author's own frontend, not a bug.
Install: ComfyUI Manager search saya-comfy-couple-plus, or git clone https://github.com/alphaziod/saya-comfy-couple-plus into custom_nodes and restart. Only numpy/Pillow as deps; no model downloads.
Inputs (8)
| Name | Type | Default | Description |
|---|---|---|---|
| image | IMAGE | — | |
| seed | INT | 00–18446744073709550000 | — |
| positive_prompt | STRING | — | |
| negative_prompt | STRING | — | |
| models_json | STRING | [] | — |
| vaes_json | STRING | [] | — |
| samplers_json | STRING | {} | — |
| checkpoint_root | STRING | image/checkpoints | — |
Outputs (2)
| Name | Type | Description |
|---|---|---|
| image | IMAGE | — |
| candidate_manifest | STRING | — |