沐阳 H3 · 采样器(内部·步级预览)
The sampler that shows you real frames at every step, not blurry mush
- noise
- guider
- sampler
- sigmas
- latent_image
- vae
- output
During a long video generation you're watching the preview for feedback, and ComfyUI's default preview - the latent-to-RGB blurry smear - tells you almost nothing until the very end. 沐阳 H3 · 采样器(内部·步级预览) (H3SamplerAdvanced) is the pack's internal sampler that replaces that: at every sampling step it VAE-decodes a real frame and pushes it to the frontend. You watch the actual picture form, which for multi-minute long-video runs is the difference between "looks broken, cancel it" and "wait, it's actually coming together."
Functionally it's a drop-in for SamplerCustomAdvanced - same shape, same job - so it fits anywhere that node does. It takes the noise, guider, sampler, sigmas, and latent_image, runs the sampling loop, and returns the finished LATENT. The extra inputs (run_id, owner_id, segment_index, total_segments, pass_label) are the progress bookkeeping: they tag which run, which segment, and which pass each preview belongs to, so the Director's panel can file frames correctly. pass_label defaults to sample1 and becomes sample2 on a second pass - which is how the panel distinguishes first-pass from refined previews.
The preview itself is a proper decode: it pulls one temporal token from the middle of the current latent, decodes it with the VAE, and saves a PNG to ComfyUI's temp directory. That's more expensive per step than the blurry default, so it's a genuine trade - but for a workflow where a single segment takes minutes, the cost is noise and the visibility is the point.
Inputs
- noise / guider / sampler / sigmas / latent_image / vae - the standard advanced-sampler wiring.
- run_id / owner_id / segment_index / total_segments - progress identity.
- pass_label - which pass this sampling belongs to.
Output: output (LATENT), the sampled latents, exactly like the stock node.
Install and why you won't wire it
Pack install: ComfyUI Manager search "ComfyUI-MiniMaxH3-Myang", or git clone https://github.com/civilcoco/ComfyUI-MiniMaxH3-Myang into custom_nodes, restart. No extra Python deps.
Like the other 内部 nodes, the description says "请勿手动添加" - the Director and long-video expander place it for you. You'll meet it when you're curious why the previews are crisp, or when a custom graph needs the same step-level visibility. And the pack-wide reminder stands: H3's local weights are territory-restricted by community license (US/EU/UK/South Korea excluded), and after any ComfyUI update you should re-validate a two-segment run before trusting a long chain.
Inputs (11)
| Name | Type | Default | Description |
|---|---|---|---|
| noise | NOISE | — | |
| guider | GUIDER | — | |
| sampler | SAMPLER | — | |
| sigmas | SIGMAS | — | |
| latent_image | LATENT | — | |
| vae | VAE | — | |
| run_id | STRING | — | |
| owner_id | STRING | — | |
| segment_index | INT | 11–999 | — |
| total_segments | INT | 11–999 | — |
| pass_label | STRING | sample1 | — |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| output | LATENT | — |