2.6.3 — the prompt the model was trained to read
Perfil de ejecución
Descripción de la fuente
2.6.3 — the prompt the model was trained to read
This version rolls up 2.6.2 and 2.6.3. Update by replacing the node pack folder (or update in ComfyUI Manager) and reloading the workflows from the zip. Your saved canvases keep working - nothing about the node layout changed.
Prompts now match MiniMax's own spec
MiniMax published the exact prompt format H3 was trained on. This release closes every gap we found between that spec and what the pack actually sent:
Reference prompts go out in the documented section order. The section that defines who is now comes BEFORE the description that uses it - it used to be appended after. Two sections that were never sent at all are now included, and one of them finally tells the model "no background music" outright.
Comentario generado por IA
Explicación generada por IA basada en los detalles de la fuente y la configuración. Las sugerencias están claramente identificadas.
Use the MiniMax-H3 Multishot workflow to turn a story into one joined multi-shot video with sound, or retake a time window from a finished clip using a prompt and separate picture and sound changes.
For Seamless Chain, the writer expands an idea into shot prompts; you can instead use raw JSON and separate shots with `---`.
In chained shots, a carried frame is labeled as the next shot’s starting frame. Keyframe modes label first frames, last frames, and boundary plates.
You can optionally provide a photo for shot 1 and a short voice clip to lock the speaker’s voice.
H3 Retake uses a finished clip, a time window, and a prompt to redo that section: change both picture and sound, change the picture while keeping the performance, or change the line while keeping the picture.
Use the workflow in ComfyUI with its node pack and a MiniMax-H3 checkpoint.
To update, replace the node pack folder or use ComfyUI Manager, then reload the workflows from the zip; the description says saved canvases keep working because the node layout is unchanged.
Across the workflow files, the listed model files are `minimax_h3_audio_vae_fp32.safetensors`, `minimax_h3_video_vae_fp16.safetensors`, `MiniMax-H3-encoder-Q4_K_M.gguf`, `MiniMax-H3-ref2va-curve-Q5_1.gguf`, `MiniMax-H3-fl2va-curve-Q5_1.gguf`, and `qwen3vl_32b_minimax_h3_nvfp4_awq
The workflow files also call for `comfyui-custom-scripts` at `609f3afaa74b2f88ef9ce8d939626065e3247469` and `comfyui-easy-use` at `1.3.6`.
Auto Refs can scan up to nine characters and split nine photo slots among them: three each for two characters, two each for four, or one each for five or more; it prints the split.
In Extend Take, `window = auto` follows your `frames_per_shot` value on the legal grid; an explicit window takes precedence, while `fit this card (VRAM auto)` uses card-aware sizing.
The prompt picker lists every registered prompt folder, including folders added through `extra_model_paths.yaml`.
License information is not provided.
¿Es necesario editarlo?
Inicia sesión para solicitar una edición.
Fuentes
1 fuenteExtractos de fuentes
1 extractoSource context: 10753 downloads · Type Workflows · Base model MiniMax H3
Both samplers explain the reference images. Attached photos arrive labelled , ... and only one of the two samplers ever told the model what those labels meant. Now both do - and a frame carried between chained shots is declared as the shot's starting frame instead of being mistaken for a face reference.
Keyframe modes send the documented alignment line. First frames, last frames and boundary plates now announce themselves the way the model was trained to read them. Three paths sent nothing before.
Removed a self-defeating negation. The reference block used to say a second character is "never blended with" the first. There is no negative prompt at cfg 1.0, so that sentence only put the idea of blending INTO the render. It now states what each person keeps instead.
Auto Refs: five characters no longer cast three
The automatic scan stopped at the first three characters it found. With five, two of them got no photos while the writer still pointed them at "the reference photographs" - and a character pointed at photos that do not exist renders as a random person. The scan now takes up to nine characters and splits the model's nine photo slots across everyone it matched (2 characters keep 3 photos each, 4 get 2, five or more get 1), and prints the split. Fewer characters per run still holds a face more firmly - but every named character now casts somebody.
One number for window length
In extend-take mode the frames_per_shot box was silently ignored - a window sized for your card took over. Now window = auto follows the frames_per_shot you typed (snapped to the legal grid, and the console says so), picking an explicit window still wins, and the old card-aware sizing is still there as fit this card (VRAM auto) - choose it when you want the fewest joins that will not thrash rather than an exact length. The shipped workflow is set to 243, which is exactly what it rendered before.
Remote encoding: fails fast, starts fast
A wrong or unedited address on the remote text encoder used to surface at the first encode - AFTER the LLM writer had spent minutes on a script that then went in the bin. The node now checks the address the moment it runs: empty box, untouched placeholder, or unreachable host each fail in about a second, with the fix named in the message.
First shot no longer crawls. With the encoder on another box, models left over from your PREVIOUS run were never cleared, the memory planner saw a full card, and shot 1 ran 2-3x slower than shot 2 (measured 65 s/it against 27). Both samplers now sweep leftovers once before the first model load and print what they cleared.
New in the pack
H3 Retake - redo one stretch of a finished clip and keep the rest. Load the clip, set a time window, write a prompt for that moment. Picture and sound are independent: redo both, keep the performance and change the picture, or keep the picture and change the line.
The prompt picker now lists EVERY registered prompt folder - a corpus added through extra_model_paths.yaml used to sit invisible.
Writer rules: recurring characters keep a readable face in frame and every shot ends on the face (identity re-locks from a shot's closing frames - a shot that ends on the back of a head hands the next shot a stranger); anything uncanny never turns to the lens and the world never reacts on cue; the camera is directed in the model's own trained vocabulary, with "holds a static shot" as the way to hold still - never "does not move", which freezes the frame.
Writer node: local Ollama endpoints get a proper context size - the 4096 default silently truncated long system prompts.
Hardware and download-size estimates are not available yet.
Requisitos
minimax_h3_audio_vae_fp32.safetensors
Archivo sin verificarVAE · SAFETENSORS · Unknown
minimax_h3_video_vae_fp16.safetensors
Archivo sin verificarVAE · SAFETENSORS · Unknown
MiniMax-H3-encoder-Q4_K_M.gguf
No resueltoText encoder · Unknown
MiniMax-H3-ref2va-curve-Q5_1.gguf
No resueltoCheckpoint · Unknown
qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
Archivo sin verificarText encoder · SAFETENSORS · Unknown
comfyui-custom-scripts
EncontradoPaquete de nodos · Registry
comfyui-easy-use
EncontradoPaquete de nodos · Registry