fix: VAELoader pointed at the distilled VAE; document real verification

The shipped workflow selected ema_vae_distill_fp16.safetensors in its VAELoader. ComfyUI identifies a SeedVR2 VAE by the stock decoder key decoder.up_blocks.2.upsamplers.0.upscale_conv.weight (comfy/sd.py); the distilled decoder replaces those keys, so detection fails and load_vae raises "ERROR: VAE is invalid: None". Wrong since publication, not a ComfyUI regression.

The VAELoader now loads the stock seedvr2_ema_vae_fp16.safetensors. The distilled file is never loaded as a VAE: the node finds it on disk and patches VideoAutoencoderKL.decode_ at import time.

Also:
- resolve ../../models/vae by path so the documented location works when folder_paths is unimportable; log every path searched on failure
- drop SEEDVR2_TINYVAE_VERIFY=1 from the README - it was never implemented. Document the real check: the calibration lines printed on first decode.
- new workflow screenshot showing a verified 512->2048 run

README.md

@@ -716,9 +716,16 @@ The transformer is not the only expensive part. On a 2K→8K job the **VAE decod
 204 s run** — a third of the wall clock — and it is the same 150.6M-parameter 3-D causal-conv stack
 whatever transformer you pair it with. So it was distilled too.
 
-`ema_vae_distill_fp16.safetensors` is a **complete VAE**: the original encoder, bit-identical, plus a
+`ema_vae_distill_fp16.safetensors` holds the original encoder, bit-identical, plus a
 **1.35M-parameter** decoder trained to reproduce the original's output. 202.8 MB against 501.3 MB.
 
+> **In ComfyUI this file is not a `VAELoader` input.** Keep the VAELoader on the stock
+> `seedvr2_ema_vae_fp16.safetensors`; the TinyVAE custom node finds the distilled file on disk and
+> patches the decode path at import time. Selecting it in a VAELoader raises
+> `RuntimeError: ERROR: VAE is invalid: None`, because ComfyUI recognises a SeedVR2 VAE by a stock
+> decoder key (`decoder.up_blocks.2.upsamplers.0.upscale_conv.weight`) that the distilled decoder
+> replaces. Loading it directly — as `ai-image` does — is unaffected.
+
 | | params | note |
 |---|---:|---|
 | stock decoder | 150,601,731 | 3-D causal conv, 144 tensors |
@@ -832,8 +839,35 @@ cannot mis-route the load; and if the distilled decoder fails to load, the run f
 stock decoder with an error rather than silently using a randomly-initialised one.
 
 For ComfyUI see [`comfyui/ComfyUI-SeedVR2-1.4B-TinyVAE/`](comfyui/ComfyUI-SeedVR2-1.4B-TinyVAE/) —
-install it alongside the base node (the encoder still needs the base node's fast path) and run once
-with `SEEDVR2_TINYVAE_VERIFY=1` to confirm the swap is valid on your ComfyUI build.
+install it alongside the base node (the encoder still needs the base node's fast path), keep the
+`VAELoader` on the **stock** `seedvr2_ema_vae_fp16.safetensors`, and drop
+`ema_vae_distill_fp16.safetensors` anywhere the node looks (`models/vae/`, beside the node folder,
+or `SEEDVR2_TINYVAE_PATH`). Then load
+[`comfyui/seedvr2_1.4b_tinyvae_upscale_image.json`](comfyui/seedvr2_1.4b_tinyvae_upscale_image.json)
+and run it once.
+
+#### Verifying the swap actually happened
+
+Nothing in the graph changes, so the console is the proof. On the first decode the node measures
+the latent convention against the stock decoder instead of assuming it, and prints what it chose:
+
+```
+SeedVR2 TinyVAE: patched VideoAutoencoderKL.decode_
+SeedVR2 TinyVAE: distilled decoder active (.../models/vae/ema_vae_distill_fp16.safetensors)
+SeedVR2 TinyVAE: loaded ema_vae_distill_fp16.safetensors (1.35M params)
+SeedVR2 TinyVAE calibrate: pre-scaled by ComfyUI  -> 30.29 dB
+SeedVR2 TinyVAE calibrate: raw latent             -> 28.07 dB
+SeedVR2 TinyVAE: calibrated — pre-scaled by ComfyUI, 30.29 dB vs the stock decoder.
+```
+
+The dB figure is measured on **your** first tile, so it moves with content — the run below scores
+30.3 dB on a kingfisher, which is near worst case for a mild low-pass (water droplets, fine feather
+detail), against ~34.9 dB averaged over the test set. Anything clearing 28 dB means the swap is
+numerically sound; below that the node disables itself and falls back to the stock decoder rather
+than emit a fast-but-wrong image. Seeing no `TinyVAE` lines at all means the node never imported.
+
+Verified on ComfyUI **0.30.0**: 512×512 → 2048×2048 at 4×, first run 16.6 s including a one-time
+~2.1 s calibration and model load.
 
 <a href="assets/comfyui/comfyui_tinyvae_workflow.jpg"><img src="assets/comfyui/comfyui_tinyvae_workflow_thumb.jpg" width="720"></a>
 

comfyui/ComfyUI-SeedVR2-1.4B-TinyVAE/README.md

@@ -15,12 +15,33 @@ Copy **both** folders into `ComfyUI/custom_nodes/` and restart:
 Then put `ema_vae_distill_fp16.safetensors` where the node can find it — next to this folder, or in
 `ComfyUI/models/vae/`, or set `SEEDVR2_TINYVAE_PATH=/abs/path/to/it`.
 
+> ### ⚠️ Do not load this file with a `VAELoader`
+>
+> It is **not** a VAELoader input. Selecting it there fails with:
+>
+> ```
+> RuntimeError: ERROR: VAE is invalid: None
+> ```
+>
+> ComfyUI recognises a SeedVR2 VAE by the presence of one stock decoder key
+> (`decoder.up_blocks.2.upsamplers.0.upscale_conv.weight`, `comfy/sd.py`). The distilled decoder
+> replaces exactly those keys, so detection fails and no VAE object is built.
+>
+> Your `VAELoader` should keep loading the **stock** `ema_vae_fp16.safetensors`. This node patches
+> `VideoAutoencoderKL.decode_` at import time and loads the distilled weights itself — the file only
+> has to be findable on disk, never wired into the graph.
+
 The node registers nothing and changes no wiring: use the same workflow as before
 (`seedvr2_1.4b_tinyvae_upscale_image.json` is the base workflow with updated notes).
 
+Confirm it took effect from the console on first run — `SeedVR2 TinyVAE: distilled decoder active`
+followed by the calibration lines. If you see `not found. Searched: ...` instead, the file is not in
+any of the locations above.
+
 ## The weights
 
-`ema_vae_distill_fp16.safetensors` is a **complete VAE**, not a fragment:
+`ema_vae_distill_fp16.safetensors` carries a full encoder plus the distilled decoder — but it is a
+**drop-in for the decode path only**, not a substitute for the stock VAE object:
 
 | | tensors | params | size |
 |---|---|---|---|

comfyui/seedvr2_1.4b_tinyvae_upscale_image.json

@@ -1,1245 +1,1245 @@
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-   "flags": {},
-   "order": 0,
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-   "inputs": [],
-   "outputs": [
+  "id": "seedvr2-1.4b-tinyvae-upscale",
+  "revision": 0,
+  "last_node_id": 75,
+  "last_link_id": 66,
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-    "## SeedVR2-1.4B + distilled VAE decoder\n\nSame graph as `seedvr2_1.4b_upscale_image.json`. Two differences: the VAELoader points at the\ndistilled VAE, and a second custom node swaps the decoder implementation at import time.\n\n**Install BOTH custom nodes** into `ComfyUI/custom_nodes/`, then restart:\n- `ComfyUI-SeedVR2-1.4B` \u2014 6-block detection + single-frame VAE fast path. **Still required**: the\n  ENCODER is untouched and is still a 3-D causal-conv stack.\n- `ComfyUI-SeedVR2-1.4B-TinyVAE` \u2014 replaces the 150.6M-param decoder with a 1.35M-param one.\n\n### Files\n- `comfyui/seedvr2_distill_6L_1.4B_sharp_fp16_comfyui.safetensors` -> `models/diffusion_models/`\n- `comfyui/ema_vae_distill_fp16.safetensors` -> `models/vae/` \u2014 **keep this exact filename**, the\n  VAELoader in this workflow asks for it by name. No renaming needed.\n  A COMPLETE VAE: original encoder bit-identical + distilled decoder. 202.8 MB vs 501.3 MB.\n\n### FIRST RUN \u2014 check the calibration line\nThe node measures the latent convention on its first tile instead of assuming it. In the log:\n\n    SeedVR2 TinyVAE: patched VideoAutoencoderKL.decode_\n    SeedVR2 TinyVAE calibrate: pre-scaled by ComfyUI  -> 34.92 dB\n    SeedVR2 TinyVAE calibrate: raw latent             -> 33.25 dB\n    SeedVR2 TinyVAE: calibrated \u2014 pre-scaled by ComfyUI, 34.92 dB vs the stock decoder.\n\nThat is the confirmation it is working. If neither option clears 28 dB the node disables itself and\nyou get the stock decoder plus a warning \u2014 never a fast-but-wrong image. If you see no TinyVAE lines\nat all, the node did not load and you are on the stock decoder.\n\n### What it buys (M2 Ultra, 6L transformer fixed)\n| job | VAE decode | whole run | peak RAM |\n|---|---|---|---|\n| 512 -> 2048 | 4.12s -> 0.34s (12.1x) | 17.6 -> 13.9s | 7.49 -> 4.74 GB |\n| 512 -> 4096 | 15.55s -> 1.10s (14.2x) | 52.0 -> 37.9s | 7.70 -> 4.95 GB |\n| 2048 -> 8192 | 68.35s -> 5.00s (13.7x) | 203.7 -> 140.3s | 7.76 -> 5.02 GB |\n\n### What it costs\nA mild low-pass: ~84-97% of mid-band energy, ~61-68% of fine, ~21-26% of the top edge band.\nSome material shows it, some does not \u2014 check your own images at 1:1.\n`SEEDVR2_TINYVAE_OFF=1` gives a clean A/B against the stock decoder with everything else identical.\n\n### Notes (unchanged from the base workflow)\n- Upscale factor = `scale_multiplier`. 4x recommended.\n- One-step by design: steps 1, cfg 1, euler, simple, denoise 1.\n- **Do NOT raise the VAE `tile_size` above 512** \u2014 attention is quadratic in tile tokens.\n"
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+        "## SeedVR2-1.4B + distilled VAE decoder\n\nSame graph as `seedvr2_1.4b_upscale_image.json`. One difference: a second custom node swaps the\ndecoder implementation at import time. The VAELoader still loads the STOCK VAE.\n\n**Install BOTH custom nodes** into `ComfyUI/custom_nodes/`, then restart:\n- `ComfyUI-SeedVR2-1.4B` — 6-block detection + single-frame VAE fast path. **Still required**: the\n  ENCODER is untouched and is still a 3-D causal-conv stack.\n- `ComfyUI-SeedVR2-1.4B-TinyVAE` — replaces the 150.6M-param decoder with a 1.35M-param one.\n\n### Files\n- `comfyui/seedvr2_distill_6L_1.4B_sharp_fp16_comfyui.safetensors` -> `models/diffusion_models/`\n- `ema_vae_fp16.safetensors` -> `models/vae/seedvr2_ema_vae_fp16.safetensors` — the **stock** SeedVR2 VAE (rename on copy). This is what the\n  VAELoader in this workflow loads. ComfyUI identifies a SeedVR2 VAE by a stock decoder key,\n  so only this file is selectable there.\n- `comfyui/ema_vae_distill_fp16.safetensors` -> `models/vae/` (or beside the custom-node folder,\n  or `SEEDVR2_TINYVAE_PATH`). **Do NOT select this one in the VAELoader** — it will fail with\n  `VAE is invalid: None`, because the distilled decoder replaces the very keys ComfyUI uses to\n  recognise a SeedVR2 VAE. It is never loaded as a VAE: the TinyVAE node finds it on disk and\n  patches the decoder at import time. 202.8 MB, encoder bit-identical + distilled decoder.\n\n### FIRST RUN — check the calibration line\nThe node measures the latent convention on its first tile instead of assuming it. In the log:\n\n    SeedVR2 TinyVAE: patched VideoAutoencoderKL.decode_\n    SeedVR2 TinyVAE calibrate: pre-scaled by ComfyUI  -> 34.92 dB\n    SeedVR2 TinyVAE calibrate: raw latent             -> 33.25 dB\n    SeedVR2 TinyVAE: calibrated — pre-scaled by ComfyUI, 34.92 dB vs the stock decoder.\n\nThat is the confirmation it is working. If neither option clears 28 dB the node disables itself and\nyou get the stock decoder plus a warning — never a fast-but-wrong image. If you see no TinyVAE lines\nat all, the node did not load and you are on the stock decoder.\n\n### What it buys (M2 Ultra, 6L transformer fixed)\n| job | VAE decode | whole run | peak RAM |\n|---|---|---|---|\n| 512 -> 2048 | 4.12s -> 0.34s (12.1x) | 17.6 -> 13.9s | 7.49 -> 4.74 GB |\n| 512 -> 4096 | 15.55s -> 1.10s (14.2x) | 52.0 -> 37.9s | 7.70 -> 4.95 GB |\n| 2048 -> 8192 | 68.35s -> 5.00s (13.7x) | 203.7 -> 140.3s | 7.76 -> 5.02 GB |\n\n### What it costs\nA mild low-pass: ~84-97% of mid-band energy, ~61-68% of fine, ~21-26% of the top edge band.\nSome material shows it, some does not — check your own images at 1:1.\n`SEEDVR2_TINYVAE_OFF=1` gives a clean A/B against the stock decoder with everything else identical.\n\n### Notes (unchanged from the base workflow)\n- Upscale factor = `scale_multiplier`. 4x recommended.\n- One-step by design: steps 1, cfg 1, euler, simple, denoise 1.\n- **Do NOT raise the VAE `tile_size` above 512** — attention is quadratic in tile tokens.\n"
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 }