Add recovered fight source and reproducible four-tile canvas examples

Add source and verified winner MP4s, beginner-friendly canvas workflows, historical API graphs, a runner, verification records and download bundle. Preserve the original benchmark exhibits and add reproduction links to the current model card.

.gitattributes

@@ -39,3 +39,6 @@ assets/adapter_t2c_insert_quad.mp4 filter=lfs diff=lfs merge=lfs -text
 assets/adapter_t2c_insert_quad_poster.jpg filter=lfs diff=lfs merge=lfs -text
 assets/temporal_expansion_2x3_tile.mp4 filter=lfs diff=lfs merge=lfs -text
 assets/temporal_expansion_2x3_tile_poster.jpg filter=lfs diff=lfs merge=lfs -text
+examples/fight_quad/comparison_verified_20260921.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/fight_quad/winner_verified_20260921.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/fight_quad/seedhunt_20260963_00001_.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -46,6 +46,29 @@ costs listed below with none of the benefit. And the settings shown here are
 0.75 / inject 0.30, the lower-invention cell; see "Settings that work" for when
 to prefer strength 1.0.
 
+## Reproduce the four-tile fight example
+
+The original source plate, three API workflows, a runner, and a freshly verified
+adapter result are now in [examples/fight_quad](examples/fight_quad/README.md).
+For the normal ComfyUI canvas, download [the winner workflow](examples/fight_quad/adapter.canvas.json)
+or [the complete four-tile workflow](examples/fight_quad/fight_quad.canvas.json),
+then drag the JSON into ComfyUI.
+
+Start with the included **seedhunt_20260963_00001_.mp4** source; the top-left tile
+is that original video. The other three tiles are the full-clip base pass,
+windowed v3.1 without the adapter, and the adapter at **0.75 / inject 0.30**.
+
+[Download the source plate](examples/fight_quad/seedhunt_20260963_00001_.mp4) ·
+[Download the verified adapter result](examples/fight_quad/winner_verified_20260921.mp4) ·
+[Reproduction instructions](examples/fight_quad/README.md) ·
+[Download the complete example ZIP](examples/fight_quad_example.zip)
+
+The September 21 verification completed in **65.4 s** and decoded successfully
+(124 frames, 1152 × 640, 24 fps). This is a fresh functional check, not a new
+matched-cache benchmark. The original comparison's 139.9 / 63.6 / 49.9 s labels
+remain historical measurements. Both supplied MP4s contain their API graph in
+`prompt` metadata; separate JSON files are included for convenient reuse.
+
 ## How it is actually wired, and what the adapter is not responsible for
 
 Same clip, same seed, same graph in all four tiles. An anime sword ring, which

examples/fight_quad/README.md

@@ -0,0 +1,126 @@
+# Reproduce the historical fight quad
+
+The top-left tile is the supplied source video, not another processing pass.
+Copy `seedhunt_20260963_00001_.mp4` into your ComfyUI `input` directory. Keep its
+filename unchanged. It is the original 124-frame H3 generation (1152 × 640,
+24 fps, 5.167 s), recovered from the local experiment outputs.
+
+## Open it on the ComfyUI canvas
+
+- **[Winner only — easy starting point](adapter.canvas.json)**: the verified
+  adapter recipe with setup notes and editable controls.
+- **[All four tiles — complete comparison](fight_quad.canvas.json)**: shared
+  source/model loaders, color-coded processing lanes, four individual video
+  outputs, and an automatically assembled comparison with source audio.
+
+Download the JSON, then drag it onto ComfyUI or use **Workflow → Open**. Put the
+source MP4 in `ComfyUI/input`, select your model files, and click **Run**. The
+amber lane is the full-clip pass, rose is the windowed control, and green is the
+adapter winner. Advanced nodes are collapsed; double-click a title to expand.
+The full comparison takes longer and uses more memory than the winner alone.
+The normal Save Video nodes embed both the prompt and frontend workflow when
+run through the canvas with metadata enabled.
+
+## Requirements
+
+Use a ComfyUI build with MiniMax-H3 support, [ComfyUI-MAINodes](https://github.com/matlowai/ComfyUI-MAINodes),
+and ComfyUI-KJNodes with SageAttention available. Python 3 and FFmpeg are needed
+for the commands below. These API JSONs can also be imported through a frontend
+that supports API-format import; they are not canvas-layout JSONs.
+
+Model names in the supplied graphs:
+
+- diffusion model: `minimax_h3/minimax_h3_fl2va_pruned_int8_convrot.safetensors`
+- text encoder: `minimax_h3/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors`
+- VAE: `minimax_h3/minimax_h3_video_vae_fp16.safetensors`
+- LoRA: `minimax_h3/minimax_h3_motion_adapter_pilot_r16.safetensors`
+
+Place this repository's adapter in `models/loras/minimax_h3/`. The historical
+training filename `p4_pilot_k100.safetensors` refers to this published adapter.
+Use the exact base/encoder/VAE variants for historical comparison; adjust only
+folder paths if your installation uses different folders.
+
+## Render the three processed tiles
+
+Download this directory, then run these commands inside it with ComfyUI running.
+Use `--server http://127.0.0.1:8189` on each command if that is your server port.
+The runner uses the public `/prompt`, `/history`, and `/view` endpoints, assigns
+unique output prefixes, waits for success, and downloads the resulting video.
+
+```bash
+python3 run.py full_clip.api.json --output full_clip.mp4
+python3 run.py windowed.api.json --output windowed.mp4
+python3 run.py adapter.api.json --output adapter.mp4
+```
+
+| Tile | Input / workflow | Settings |
+|---|---|---|
+| Top left | `seedhunt_20260963_00001_.mp4` | Original source, unchanged |
+| Top right | `full_clip.api.json` | T2C arm A, full-clip pixel smear and regeneration, inject 0.60, no adapter |
+| Bottom left | `windowed.api.json` | Windowed v3.1, inject 0.45, no adapter |
+| Bottom right | `adapter.api.json` | Same window, adapter 0.75, inject 0.30 |
+
+All processing arms use seed 20260817, beta schedule, 25 total steps, and
+`gradient_estimation`. The windowed arms crop world frames 68–123, expand the
+56-frame window to 107 frames, retain the historical tail guide, recover to
+56 frames, and splice after the untouched 68-frame head. These are the old
+recipes, not the later two-boundary pinned graph.
+
+`expand_to_end=false` is explicit so current node defaults cannot rewrite the
+historical hold maps. The windowed map already expands through its final frame.
+Descriptive node titles from the archive were removed because some still said
+inject 0.45 even when the actual input was 0.30.
+
+To queue the combined graph and download its assembled comparison directly:
+
+```bash
+python3 run.py fight_quad.api.json --output-node 9005 --output fight_quad.mp4
+```
+
+## Assemble the four tiles
+
+This rebuilds the panel arrangement with the source audio. It deliberately has
+no historical timing overlays: your new runs are not the old benchmark.
+
+```bash
+ffmpeg -n -i seedhunt_20260963_00001_.mp4 -i full_clip.mp4 -i windowed.mp4 -i adapter.mp4 \
+  -filter_complex '[0:v][1:v]hstack=inputs=2[top];[2:v][3:v]hstack=inputs=2[bottom];[top][bottom]vstack=inputs=2[v]' \
+  -map '[v]' -map '0:a?' -c:v libx264 -crf 18 -pix_fmt yuv420p -c:a aac -movflags +faststart fight_quad.mp4
+```
+
+## Metadata, provenance, and verification
+
+`winner_verified_20260921.mp4` is the September 21 functional rerun of the
+adapter arm: success, 65.385 s server execution, all 124 frames decoded without
+errors. Only the text-encoder and VAE loader nodes were reported cached; the
+sampler executed. This does not replace the historical matched-cache 49.9 s
+measurement. The full-clip and no-adapter workflows are recovered historical graphs.
+See `verification.json` for the separate full-canvas verification run.
+
+The verification used MAINodes checkout commit
+`4e957e267795c23c4d5544cf7d62bb4fa736c4c3`. Hardware, software, kernels, and cache
+state affect timing and pixels; identical results across environments are not
+guaranteed. Historical benchmark labels remain in the original
+[comparison video](../../assets/adapter_t2c_insert_quad.mp4).
+
+Both supplied MP4s embed API JSON under the container's `prompt` tag. To inspect:
+
+```bash
+ffprobe -v error -show_entries format_tags=prompt -of json winner_verified_20260921.mp4
+```
+
+The embedded winner graph preserves the exact local run, including the original
+LoRA training filename. The separate `adapter.api.json` uses the published
+filename and a fresh output prefix. A `workflow` canvas-layout tag is not present.
+The assembled FFmpeg quad does not automatically inherit all four graphs.
+
+`source_generation.api.json` is extracted from the original source MP4 for
+provenance and optional regeneration. It additionally requires the LightX2V
+LoRA named in that graph. Reusing the supplied source is the way to reproduce
+this comparison without changing the plate. Base-model licensing remains as
+specified in the parent model card.
+
+The complete browser-exported comparison graph also passed a fresh render: all
+three samplers executed, all five saved videos decode, and the assembled output
+is 2304 × 1280 at 24 fps with 124 frames. Total server execution was 279.09 s
+for this combined run. [Watch the newly assembled comparison](comparison_verified_20260921.mp4).

examples/fight_quad/SHA256SUMS

@@ -0,0 +1,13 @@
+fcc055044638a6c607e81c8b8a68172abd7c423eb37112f633a591662723f5a1  README.md
+a93ce6013937fd67c33e593e6ce6f418668bd009b33d14c0b76ccb2429744881  adapter.api.json
+de107701beb665ca29ffe687fc175457ecd2be6d1b1ccf4dbbffc24f8d2a7cbe  adapter.canvas.json
+529c4b88d07fe3f2f67f6687f887c0f85c9d2b70c20f5803488c9fbdae14eed8  comparison_verified_20260921.mp4
+ece075f85d7749936e81122e980cf9b832a0fee306c4f44faa277502168889e3  fight_quad.api.json
+dac25dd67e47ea9cc0235ad83a22001acba8b5a6e896cd35a3df3ed6f8ee85ea  fight_quad.canvas.json
+3eb1c4061489b56e2d123846facdd188717647d48aa0bf529aca878d1ed3e7bd  full_clip.api.json
+3f75184fd6619d80edb2e719901a321aea008e64d7097bcacaa22f2a59d4d351  run.py
+7fc34be58e061364f35fe37889cbc3bb5e5c3ff154053d1b4ce437655dd8993b  seedhunt_20260963_00001_.mp4
+ca5b9891e9bfa45e50082eb45c3363c43a97910230d9a3e79c47ea654e6665f0  source_generation.api.json
+6752a721d593c26bc5a6852673c9239517a2932dd1c49fa967e320bbadaf2a09  verification.json
+d30101eeaa323f680f131e07a8d7e1947ed498bf3db43d3d974ee8e3ec7b379b  windowed.api.json
+5c0505349c4aab1a9e68c166c812fc299964b437927e05aab294d0a609cf5042  winner_verified_20260921.mp4

examples/fight_quad/adapter.api.json

@@ -0,0 +1,340 @@
+{
+  "127": {
+    "class_type": "UNETLoader",
+    "inputs": {
+      "unet_name": "minimax_h3/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
+      "weight_dtype": "default"
+    }
+  },
+  "128": {
+    "class_type": "CLIPLoader",
+    "inputs": {
+      "clip_name": "minimax_h3/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+      "type": "minimax",
+      "device": "default"
+    }
+  },
+  "119": {
+    "class_type": "VAELoader",
+    "inputs": {
+      "vae_name": "minimax_h3/minimax_h3_video_vae_fp16.safetensors"
+    }
+  },
+  "300": {
+    "class_type": "PathchSageAttentionKJ",
+    "inputs": {
+      "model": [
+        "600",
+        0
+      ],
+      "sage_attention": "auto",
+      "allow_compile": false
+    }
+  },
+  "301": {
+    "class_type": "MiniMaxH3MemoryEfficientSageAttentionPatch",
+    "inputs": {
+      "model": [
+        "300",
+        0
+      ]
+    }
+  },
+  "302": {
+    "class_type": "MiniMaxChunkFeedForward",
+    "inputs": {
+      "model": [
+        "301",
+        0
+      ],
+      "chunks": 2,
+      "seq_threshold": 65536
+    }
+  },
+  "400": {
+    "class_type": "LoadVideo",
+    "inputs": {
+      "file": "seedhunt_20260963_00001_.mp4"
+    }
+  },
+  "401": {
+    "class_type": "GetVideoComponents",
+    "inputs": {
+      "video": [
+        "400",
+        0
+      ]
+    }
+  },
+  "402": {
+    "class_type": "H3VideoFit",
+    "inputs": {
+      "images": [
+        "401",
+        0
+      ],
+      "mode": "trim tail (default)",
+      "max_frames": 0,
+      "fps": [
+        "401",
+        2
+      ],
+      "audio": [
+        "401",
+        1
+      ]
+    }
+  },
+  "135": {
+    "class_type": "KSamplerSelect",
+    "inputs": {
+      "sampler_name": "gradient_estimation"
+    }
+  },
+  "522": {
+    "class_type": "H3InjectSchedule",
+    "inputs": {
+      "model": [
+        "302",
+        0
+      ],
+      "scheduler": "beta",
+      "total_steps": 25,
+      "inject": 0.3,
+      "preset": "custom"
+    }
+  },
+  "523": {
+    "class_type": "RandomNoise",
+    "inputs": {
+      "noise_seed": 20260817
+    }
+  },
+  "524": {
+    "class_type": "MiniMaxH3ImageToVideo",
+    "inputs": {
+      "clip": [
+        "128",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ],
+      "prompt": "a 15-second hyper-realistic cinematic underground martial arts fight. A skilled Asian female fighter wearing an elegant dark blue and gold dragon cheongsam battles a massive muscular bodyguard dressed entirely in black inside a dark abandoned industrial basement. Start with a tense slow cinematic dolly-in, flickering warm yellow lights, wet reflective floor, hanging cables, smoke and dust in the air. The bodyguard suddenly charges and throws a powerful punch. She narrowly ducks, and his fist smashes into a concrete pillar, producing debris and dust. She counters with a fast spinning kick to his ribs, creating a powerful air shockwave and water splash. He catches her leg and throws her, but she performs an acrobatic mid-air flip and lands gracefully with one hand. She then rushes forward with a rapid three-hit martial arts combination. A subtle golden dragon-shaped energy trail surrounds her final palm strike. The impact creates a massive cinematic shockwave, sparks, flying dust, flickering lights and realistic camera shake. The bodyguard is thrown backward. End with a dramatic close-up of the female fighter as the lights flicker and the screen cuts to black. Realistic human movement, consistent faces and clothing, intense choreography, cinematic lighting, speed ramping, dynamic camera movement, realistic motion blur, no slow or floating movement, no cartoon style",
+      "width": 1152,
+      "height": 640,
+      "length": 107
+    }
+  },
+  "525": {
+    "class_type": "BasicGuider",
+    "inputs": {
+      "model": [
+        "302",
+        0
+      ],
+      "conditioning": [
+        "406",
+        0
+      ]
+    }
+  },
+  "530": {
+    "class_type": "VAEDecode",
+    "inputs": {
+      "samples": [
+        "526",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    }
+  },
+  "540": {
+    "class_type": "CreateVideo",
+    "inputs": {
+      "images": [
+        "412",
+        0
+      ],
+      "audio": [
+        "402",
+        2
+      ],
+      "fps": 24,
+      "bit_depth": 8
+    }
+  },
+  "541": {
+    "class_type": "SaveVideo",
+    "inputs": {
+      "video": [
+        "540",
+        0
+      ],
+      "format": "auto",
+      "codec": "auto",
+      "filename_prefix": "video/fight_quad_adapter"
+    }
+  },
+  "403": {
+    "class_type": "VAEEncode",
+    "inputs": {
+      "pixels": [
+        "410",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    }
+  },
+  "404": {
+    "class_type": "H3TemporalInsert",
+    "inputs": {
+      "samples": [
+        "403",
+        0
+      ],
+      "hold_map": "{\"holds\": [1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], \"world_len\": 56}",
+      "init_mode": "lerp",
+      "length": 0,
+      "noise_seed": 0,
+      "expand_to_end": false
+    }
+  },
+  "526": {
+    "class_type": "SamplerCustomAdvanced",
+    "inputs": {
+      "noise": [
+        "523",
+        0
+      ],
+      "guider": [
+        "525",
+        0
+      ],
+      "sampler": [
+        "135",
+        0
+      ],
+      "sigmas": [
+        "522",
+        0
+      ],
+      "latent_image": [
+        "404",
+        0
+      ]
+    }
+  },
+  "410": {
+    "class_type": "ImageFromBatch",
+    "inputs": {
+      "image": [
+        "402",
+        0
+      ],
+      "batch_index": 68,
+      "length": 56
+    }
+  },
+  "531": {
+    "class_type": "H3ExactRecover",
+    "inputs": {
+      "images": [
+        "530",
+        0
+      ],
+      "hold_map": [
+        "404",
+        2
+      ]
+    }
+  },
+  "411": {
+    "class_type": "ImageFromBatch",
+    "inputs": {
+      "image": [
+        "402",
+        0
+      ],
+      "batch_index": 0,
+      "length": 68
+    }
+  },
+  "412": {
+    "class_type": "ImageBatch",
+    "inputs": {
+      "image1": [
+        "411",
+        0
+      ],
+      "image2": [
+        "413",
+        0
+      ]
+    }
+  },
+  "413": {
+    "class_type": "H3TimeSmear",
+    "inputs": {
+      "images": [
+        "531",
+        0
+      ],
+      "dilation": 1,
+      "hold_map": "",
+      "fps": 24,
+      "expand_to_end": false
+    }
+  },
+  "405": {
+    "class_type": "ImageFromBatch",
+    "inputs": {
+      "image": [
+        "402",
+        0
+      ],
+      "batch_index": 123,
+      "length": 1
+    }
+  },
+  "406": {
+    "class_type": "MiniMaxH3AddGuide",
+    "inputs": {
+      "positive": [
+        "524",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ],
+      "latent": [
+        "524",
+        1
+      ],
+      "image": [
+        "405",
+        0
+      ],
+      "frame_idx": 105
+    }
+  },
+  "600": {
+    "class_type": "LoraLoaderModelOnly",
+    "inputs": {
+      "model": [
+        "127",
+        0
+      ],
+      "lora_name": "minimax_h3/minimax_h3_motion_adapter_pilot_r16.safetensors",
+      "strength_model": 0.75
+    }
+  }
+}

examples/fight_quad/adapter.canvas.json

@@ -0,0 +1,1792 @@
+{
+  "id": "bbad0469-132f-42e3-b73f-b6ee10344526",
+  "revision": 0,
+  "last_node_id": 701,
+  "last_link_id": 39,
+  "nodes": [
+    {
+      "id": 119,
+      "type": "VAELoader",
+      "pos": [
+        60,
+        540
+      ],
+      "size": [
+        340,
+        98
+      ],
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "links": [
+            3,
+            15,
+            18,
+            31
+          ],
+          "slot_index": 0
+        }
+      ],
+      "title": "VAE / H3 video decoder",
+      "properties": {
+        "Node name for S&R": "VAELoader"
+      },
+      "widgets_values": [
+        "minimax_h3/minimax_h3_video_vae_fp16.safetensors"
+      ],
+      "color": "#203d36",
+      "bgcolor": "#356856"
+    },
+    {
+      "id": 127,
+      "type": "UNETLoader",
+      "pos": [
+        60,
+        678
+      ],
+      "size": [
+        340,
+        126
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            4
+          ],
+          "slot_index": 0
+        }
+      ],
+      "title": "H3 BASE / INT8 diffusion model",
+      "properties": {
+        "Node name for S&R": "UNETLoader"
+      },
+      "widgets_values": [
+        "minimax_h3/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
+        "default"
+      ],
+      "color": "#203d36",
+      "bgcolor": "#356856"
+    },
+    {
+      "id": 128,
+      "type": "CLIPLoader",
+      "pos": [
+        60,
+        844
+      ],
+      "size": [
+        340,
+        154
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "CLIP",
+          "type": "CLIP",
+          "links": [
+            2
+          ],
+          "slot_index": 0
+        }
+      ],
+      "title": "TEXT ENCODER / Qwen3-VL",
+      "properties": {
+        "Node name for S&R": "CLIPLoader"
+      },
+      "widgets_values": [
+        "minimax_h3/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+        "minimax",
+        "default"
+      ],
+      "color": "#203d36",
+      "bgcolor": "#356856"
+    },
+    {
+      "id": 135,
+      "type": "KSamplerSelect",
+      "pos": [
+        60,
+        1038
+      ],
+      "size": [
+        340,
+        98
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "SAMPLER",
+          "type": "SAMPLER",
+          "links": [
+            27
+          ],
+          "slot_index": 0
+        }
+      ],
+      "title": "KSamplerSelect",
+      "properties": {
+        "Node name for S&R": "KSamplerSelect"
+      },
+      "widgets_values": [
+        "gradient_estimation"
+      ],
+      "color": "#203d36",
+      "bgcolor": "#356856"
+    },
+    {
+      "id": 400,
+      "type": "LoadVideo",
+      "pos": [
+        60,
+        1176
+      ],
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+        "Node name for S&R": "VAEDecode"
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+      "color": "#203d36",
+      "bgcolor": "#356856"
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+      "type": "H3ExactRecover",
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+        146
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+      "flags": {},
+      "order": 24,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 32
+        },
+        {
+          "name": "hold_map",
+          "type": "STRING",
+          "link": 33,
+          "widget": {
+            "name": "hold_map"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            34
+          ],
+          "slot_index": 0
+        }
+      ],
+      "title": "RECOVER / return to real time",
+      "properties": {
+        "Node name for S&R": "H3ExactRecover"
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+      "widgets_values": [
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+      ],
+      "color": "#203d36",
+      "bgcolor": "#356856"
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+        340,
+        290
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+      "flags": {},
+      "order": 25,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 34
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            36
+          ],
+          "slot_index": 0
+        },
+        {
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+        },
+        {
+          "name": "report",
+          "type": "STRING",
+          "links": null,
+          "slot_index": 3
+        }
+      ],
+      "title": "H3TimeSmear",
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+        "Node name for S&R": "H3TimeSmear"
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+        1,
+        "",
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+        18,
+        6.7
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+      "type": "ImageBatch",
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+        540
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+        118
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+      "flags": {},
+      "order": 26,
+      "mode": 0,
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+          "link": 35
+        },
+        {
+          "name": "image2",
+          "type": "IMAGE",
+          "link": 36
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            37
+          ],
+          "slot_index": 0
+        }
+      ],
+      "title": "SPLICE / original head + regenerated window",
+      "properties": {
+        "Node name for S&R": "ImageBatch"
+      },
+      "widgets_values": [],
+      "color": "#203d36",
+      "bgcolor": "#356856"
+    },
+    {
+      "id": 540,
+      "type": "CreateVideo",
+      "pos": [
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+        540
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+      "size": [
+        340,
+        230
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+      "flags": {},
+      "order": 27,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 37
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "link": 38
+        }
+      ],
+      "outputs": [
+        {
+          "name": "VIDEO",
+          "type": "VIDEO",
+          "links": [
+            39
+          ],
+          "slot_index": 0
+        }
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+        "sRGB",
+        "none"
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+      "color": "#203d36",
+      "bgcolor": "#356856"
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+      "id": 541,
+      "type": "SaveVideo",
+      "pos": [
+        4740,
+        540
+      ],
+      "size": [
+        340,
+        178
+      ],
+      "flags": {},
+      "order": 28,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "link": 39
+        }
+      ],
+      "outputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "links": null,
+          "slot_index": 0
+        }
+      ],
+      "title": "SaveVideo",
+      "properties": {
+        "Node name for S&R": "SaveVideo"
+      },
+      "widgets_values": [
+        "video/fight_quad_adapter",
+        "auto",
+        "auto"
+      ],
+      "color": "#203d36",
+      "bgcolor": "#356856"
+    },
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+      "flags": {},
+      "order": 29,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "START HERE / Fight motion adapter",
+      "properties": {},
+      "widgets_values": [
+        "1. Put the supplied source MP4 in ComfyUI/input.\n2. Select your H3 model, text encoder and VAE in the loaders.\n3. Select the published motion adapter in the green LoRA loader.\n4. Click Run. The Save Video node at the right saves the result.\n\nHistorical winner: adapter 0.75 / inject 0.30 / seed 20260817.\n25 total steps, beta, gradient_estimation.\nUse fight_quad.canvas.json for the full four-tile comparison."
+      ],
+      "color": "#233647",
+      "bgcolor": "#30495d"
+    }
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+      "IMAGE"
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+      "AUDIO"
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+    [
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+      540,
+      0,
+      541,
+      0,
+      "VIDEO"
+    ]
+  ],
+  "groups": [
+    {
+      "title": "01 / LOAD SOURCE + MODELS",
+      "bounding": [
+        40,
+        470,
+        770,
+        1138
+      ],
+      "color": "#426781",
+      "font_size": 26,
+      "flags": {}
+    },
+    {
+      "title": "02 / PREPARE THE MOTION WINDOW",
+      "bounding": [
+        820,
+        470,
+        1160,
+        764
+      ],
+      "color": "#6d5030",
+      "font_size": 26,
+      "flags": {}
+    },
+    {
+      "title": "03 / REGENERATE WITH THE ADAPTER",
+      "bounding": [
+        1990,
+        470,
+        1550,
+        790
+      ],
+      "color": "#356856",
+      "font_size": 26,
+      "flags": {}
+    },
+    {
+      "title": "04 / RECOVER, SPLICE + SAVE",
+      "bounding": [
+        3550,
+        470,
+        1550,
+        390
+      ],
+      "color": "#51517b",
+      "font_size": 26,
+      "flags": {}
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+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.6,
+      "offset": [
+        120,
+        180
+      ]
+    }
+  },
+  "version": 0.4
+}

examples/fight_quad/comparison_verified_20260921.mp4

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+oid sha256:529c4b88d07fe3f2f67f6687f887c0f85c9d2b70c20f5803488c9fbdae14eed8
+size 7322578

examples/fight_quad/fight_quad.api.json

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+  "127": {
+    "class_type": "UNETLoader",
+    "inputs": {
+      "unet_name": "minimax_h3/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
+      "weight_dtype": "default"
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+  "128": {
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+      "clip_name": "minimax_h3/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+      "type": "minimax",
+      "device": "default"
+    }
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+  "119": {
+    "class_type": "VAELoader",
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+      "vae_name": "minimax_h3/minimax_h3_video_vae_fp16.safetensors"
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+    "inputs": {
+      "model": [
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+      "sage_attention": "auto",
+      "allow_compile": false
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+      "seq_threshold": 65536
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+      "scheduler": "beta",
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+      "inject": 0.6,
+      "preset": "custom"
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+    "class_type": "RandomNoise",
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+  "1524": {
+    "class_type": "MiniMaxH3ImageToVideo",
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+      "clip": [
+        "128",
+        0
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+      "vae": [
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+      "prompt": "a 15-second hyper-realistic cinematic underground martial arts fight. A skilled Asian female fighter wearing an elegant dark blue and gold dragon cheongsam battles a massive muscular bodyguard dressed entirely in black inside a dark abandoned industrial basement. Start with a tense slow cinematic dolly-in, flickering warm yellow lights, wet reflective floor, hanging cables, smoke and dust in the air. The bodyguard suddenly charges and throws a powerful punch. She narrowly ducks, and his fist smashes into a concrete pillar, producing debris and dust. She counters with a fast spinning kick to his ribs, creating a powerful air shockwave and water splash. He catches her leg and throws her, but she performs an acrobatic mid-air flip and lands gracefully with one hand. She then rushes forward with a rapid three-hit martial arts combination. A subtle golden dragon-shaped energy trail surrounds her final palm strike. The impact creates a massive cinematic shockwave, sparks, flying dust, flickering lights and realistic camera shake. The bodyguard is thrown backward. End with a dramatic close-up of the female fighter as the lights flicker and the screen cuts to black. Realistic human movement, consistent faces and clothing, intense choreography, cinematic lighting, speed ramping, dynamic camera movement, realistic motion blur, no slow or floating movement, no cartoon style",
+      "width": 1152,
+      "height": 640,
+      "length": 158
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+      "sage_attention": "auto",
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+      "seq_threshold": 65536
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+      "inject": 0.45,
+      "preset": "custom"
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+      "vae": [
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+}

examples/fight_quad/fight_quad.canvas.json

@@ -0,0 +1,4451 @@
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+    },
+    {
+      "title": "01 / SOURCE + SHARED MODELS",
+      "bounding": [
+        0,
+        270,
+        850,
+        1650
+      ],
+      "color": "#426781",
+      "font_size": 26,
+      "flags": {}
+    }
+  ],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.27,
+      "offset": [
+        160,
+        520
+      ]
+    }
+  },
+  "version": 0.4
+}

examples/fight_quad/full_clip.api.json

@@ -0,0 +1,257 @@
+{
+  "127": {
+    "class_type": "UNETLoader",
+    "inputs": {
+      "unet_name": "minimax_h3/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
+      "weight_dtype": "default"
+    }
+  },
+  "128": {
+    "class_type": "CLIPLoader",
+    "inputs": {
+      "clip_name": "minimax_h3/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+      "type": "minimax",
+      "device": "default"
+    }
+  },
+  "119": {
+    "class_type": "VAELoader",
+    "inputs": {
+      "vae_name": "minimax_h3/minimax_h3_video_vae_fp16.safetensors"
+    }
+  },
+  "300": {
+    "class_type": "PathchSageAttentionKJ",
+    "inputs": {
+      "model": [
+        "127",
+        0
+      ],
+      "sage_attention": "auto",
+      "allow_compile": false
+    }
+  },
+  "301": {
+    "class_type": "MiniMaxH3MemoryEfficientSageAttentionPatch",
+    "inputs": {
+      "model": [
+        "300",
+        0
+      ]
+    }
+  },
+  "302": {
+    "class_type": "MiniMaxChunkFeedForward",
+    "inputs": {
+      "model": [
+        "301",
+        0
+      ],
+      "chunks": 2,
+      "seq_threshold": 65536
+    }
+  },
+  "400": {
+    "class_type": "LoadVideo",
+    "inputs": {
+      "file": "seedhunt_20260963_00001_.mp4"
+    }
+  },
+  "401": {
+    "class_type": "GetVideoComponents",
+    "inputs": {
+      "video": [
+        "400",
+        0
+      ]
+    }
+  },
+  "402": {
+    "class_type": "H3VideoFit",
+    "inputs": {
+      "images": [
+        "401",
+        0
+      ],
+      "mode": "trim tail (default)",
+      "max_frames": 0,
+      "fps": [
+        "401",
+        2
+      ],
+      "audio": [
+        "401",
+        1
+      ]
+    }
+  },
+  "135": {
+    "class_type": "KSamplerSelect",
+    "inputs": {
+      "sampler_name": "gradient_estimation"
+    }
+  },
+  "522": {
+    "class_type": "H3InjectSchedule",
+    "inputs": {
+      "model": [
+        "302",
+        0
+      ],
+      "scheduler": "beta",
+      "total_steps": 25,
+      "inject": 0.6,
+      "preset": "custom"
+    }
+  },
+  "523": {
+    "class_type": "RandomNoise",
+    "inputs": {
+      "noise_seed": 20260817
+    }
+  },
+  "524": {
+    "class_type": "MiniMaxH3ImageToVideo",
+    "inputs": {
+      "clip": [
+        "128",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ],
+      "prompt": "a 15-second hyper-realistic cinematic underground martial arts fight. A skilled Asian female fighter wearing an elegant dark blue and gold dragon cheongsam battles a massive muscular bodyguard dressed entirely in black inside a dark abandoned industrial basement. Start with a tense slow cinematic dolly-in, flickering warm yellow lights, wet reflective floor, hanging cables, smoke and dust in the air. The bodyguard suddenly charges and throws a powerful punch. She narrowly ducks, and his fist smashes into a concrete pillar, producing debris and dust. She counters with a fast spinning kick to his ribs, creating a powerful air shockwave and water splash. He catches her leg and throws her, but she performs an acrobatic mid-air flip and lands gracefully with one hand. She then rushes forward with a rapid three-hit martial arts combination. A subtle golden dragon-shaped energy trail surrounds her final palm strike. The impact creates a massive cinematic shockwave, sparks, flying dust, flickering lights and realistic camera shake. The bodyguard is thrown backward. End with a dramatic close-up of the female fighter as the lights flicker and the screen cuts to black. Realistic human movement, consistent faces and clothing, intense choreography, cinematic lighting, speed ramping, dynamic camera movement, realistic motion blur, no slow or floating movement, no cartoon style",
+      "width": 1152,
+      "height": 640,
+      "length": 158
+    }
+  },
+  "525": {
+    "class_type": "BasicGuider",
+    "inputs": {
+      "model": [
+        "302",
+        0
+      ],
+      "conditioning": [
+        "524",
+        0
+      ]
+    }
+  },
+  "530": {
+    "class_type": "VAEDecode",
+    "inputs": {
+      "samples": [
+        "526",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    }
+  },
+  "540": {
+    "class_type": "CreateVideo",
+    "inputs": {
+      "images": [
+        "531",
+        0
+      ],
+      "audio": [
+        "402",
+        2
+      ],
+      "fps": 24,
+      "bit_depth": 8
+    }
+  },
+  "541": {
+    "class_type": "SaveVideo",
+    "inputs": {
+      "video": [
+        "540",
+        0
+      ],
+      "format": "auto",
+      "codec": "auto",
+      "filename_prefix": "video/fight_quad_full_clip"
+    }
+  },
+  "405": {
+    "class_type": "H3TimeSmear",
+    "inputs": {
+      "images": [
+        "402",
+        0
+      ],
+      "dilation": 2,
+      "hold_map": "{\"holds\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1], \"world_len\": 124}",
+      "fps": 24,
+      "expand_to_end": false
+    }
+  },
+  "403": {
+    "class_type": "VAEEncode",
+    "inputs": {
+      "pixels": [
+        "405",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    }
+  },
+  "404": {
+    "class_type": "H3V2VInit",
+    "inputs": {
+      "samples": [
+        "403",
+        0
+      ],
+      "length": 0
+    }
+  },
+  "526": {
+    "class_type": "SamplerCustomAdvanced",
+    "inputs": {
+      "noise": [
+        "523",
+        0
+      ],
+      "guider": [
+        "525",
+        0
+      ],
+      "sampler": [
+        "135",
+        0
+      ],
+      "sigmas": [
+        "522",
+        0
+      ],
+      "latent_image": [
+        "404",
+        0
+      ]
+    }
+  },
+  "531": {
+    "class_type": "H3ExactRecover",
+    "inputs": {
+      "images": [
+        "530",
+        0
+      ],
+      "hold_map": [
+        "405",
+        1
+      ]
+    }
+  }
+}

examples/fight_quad/run.py

@@ -0,0 +1,63 @@
+"""Render one API graph on your ComfyUI server and download its result."""
+import argparse
+import json
+from pathlib import Path
+import time
+import urllib.parse
+import urllib.request
+import uuid
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('workflow', type=Path)
+    parser.add_argument('--server', default='http://127.0.0.1:8188')
+    parser.add_argument('--output', required=True, type=Path)
+    parser.add_argument('--output-node', help='SaveVideo node ID to download for multi-output graphs')
+    args = parser.parse_args()
+    if args.output.exists():
+        parser.error('output already exists; choose a new filename')
+    graph = json.loads(args.workflow.read_text())
+    for node in graph.values():
+        if node['class_type'] == 'SaveVideo':
+            node['inputs']['filename_prefix'] += '_' + uuid.uuid4().hex[:12]
+    def api(path, payload=None):
+        data = None if payload is None else json.dumps(payload).encode()
+        req = urllib.request.Request(args.server.rstrip('/') + path, data=data,
+                                     headers={'Content-Type': 'application/json'})
+        with urllib.request.urlopen(req, timeout=60) as response:
+            return json.load(response)
+    result = api('/prompt', {'prompt': graph, 'client_id': 'fight_quad_example'})
+    if result.get('node_errors') or 'prompt_id' not in result:
+        raise RuntimeError(result)
+    pid = result['prompt_id']
+    print('Queued', pid, flush=True)
+    deadline = time.monotonic() + 7200
+    while time.monotonic() < deadline:
+        history = api('/history/' + pid)
+        if pid not in history:
+            time.sleep(5)
+            continue
+        record = history[pid]
+        if record['status'].get('status_str') != 'success':
+            raise RuntimeError(record['status'])
+        for key, node in graph.items():
+            if node['class_type'] != 'SaveVideo' or (args.output_node and key != args.output_node):
+                continue
+            files = record['outputs'].get(key, {}).get('images', [])
+            for item in files:
+                if item.get('type') != 'output':
+                    continue
+                query = urllib.parse.urlencode({k: item[k] for k in ('filename', 'subfolder', 'type')})
+                with urllib.request.urlopen(args.server.rstrip('/') + '/view?' + query, timeout=120) as response:
+                    with args.output.open('xb') as output:
+                        while chunk := response.read(1024 * 1024):
+                            output.write(chunk)
+                print('Saved', args.output)
+                return
+        raise RuntimeError('Completed without a SaveVideo output')
+    raise TimeoutError('Render still pending after two hours; check ComfyUI before resubmitting')
+
+
+if __name__ == '__main__':
+    main()

examples/fight_quad/seedhunt_20260963_00001_.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7fc34be58e061364f35fe37889cbc3bb5e5c3ff154053d1b4ce437655dd8993b
+size 2008949

examples/fight_quad/source_generation.api.json

@@ -0,0 +1,256 @@
+{
+  "115": {
+    "class_type": "ResolutionSelector",
+    "inputs": {
+      "aspect_ratio": "16:9 (Widescreen)",
+      "megapixels": 0.7,
+      "multiple": 32
+    },
+    "_meta": {
+      "title": "ResolutionSelector"
+    }
+  },
+  "119": {
+    "class_type": "VAELoader",
+    "inputs": {
+      "vae_name": "minimax_h3/minimax_h3_video_vae_int8_convrot.safetensors"
+    },
+    "_meta": {
+      "title": "VAELoader"
+    }
+  },
+  "120": {
+    "class_type": "VAELoader",
+    "inputs": {
+      "vae_name": "minimax_h3/minimax_h3_audio_vae_fp32.safetensors"
+    },
+    "_meta": {
+      "title": "VAELoader"
+    }
+  },
+  "121": {
+    "class_type": "VAEDecodeAudio",
+    "inputs": {
+      "samples": [
+        "125",
+        0
+      ],
+      "vae": [
+        "120",
+        0
+      ]
+    },
+    "_meta": {
+      "title": "VAEDecodeAudio"
+    }
+  },
+  "122": {
+    "class_type": "VAEDecode",
+    "inputs": {
+      "samples": [
+        "125",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    },
+    "_meta": {
+      "title": "VAEDecode"
+    }
+  },
+  "124": {
+    "class_type": "BasicScheduler",
+    "inputs": {
+      "scheduler": "beta",
+      "steps": 4,
+      "denoise": 1.0,
+      "model": [
+        "500",
+        0
+      ]
+    },
+    "_meta": {
+      "title": "BasicScheduler"
+    }
+  },
+  "125": {
+    "class_type": "SamplerCustomAdvanced",
+    "inputs": {
+      "noise": [
+        "129",
+        0
+      ],
+      "guider": [
+        "126",
+        0
+      ],
+      "sampler": [
+        "135",
+        0
+      ],
+      "sigmas": [
+        "124",
+        0
+      ],
+      "latent_image": [
+        "131",
+        1
+      ]
+    },
+    "_meta": {
+      "title": "SamplerCustomAdvanced"
+    }
+  },
+  "126": {
+    "class_type": "BasicGuider",
+    "inputs": {
+      "model": [
+        "500",
+        0
+      ],
+      "conditioning": [
+        "131",
+        0
+      ]
+    },
+    "_meta": {
+      "title": "BasicGuider"
+    }
+  },
+  "127": {
+    "class_type": "UNETLoader",
+    "inputs": {
+      "unet_name": "minimax_h3/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
+      "weight_dtype": "default"
+    },
+    "_meta": {
+      "title": "UNETLoader"
+    }
+  },
+  "128": {
+    "class_type": "CLIPLoader",
+    "inputs": {
+      "clip_name": "minimax_h3/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+      "type": "minimax",
+      "device": "default"
+    },
+    "_meta": {
+      "title": "CLIPLoader"
+    }
+  },
+  "129": {
+    "class_type": "RandomNoise",
+    "inputs": {
+      "noise_seed": 20260963
+    },
+    "_meta": {
+      "title": "RandomNoise"
+    }
+  },
+  "130": {
+    "class_type": "CreateVideo",
+    "inputs": {
+      "fps": 24.0,
+      "bit_depth": 8,
+      "images": [
+        "122",
+        0
+      ],
+      "audio": [
+        "121",
+        0
+      ]
+    },
+    "_meta": {
+      "title": "CreateVideo"
+    }
+  },
+  "131": {
+    "class_type": "MiniMaxH3ImageToVideo",
+    "inputs": {
+      "prompt": "a 15-second hyper-realistic cinematic underground martial arts fight. A skilled Asian female fighter wearing an elegant dark blue and gold dragon cheongsam battles a massive muscular bodyguard dressed entirely in black inside a dark abandoned industrial basement. Start with a tense slow cinematic dolly-in, flickering warm yellow lights, wet reflective floor, hanging cables, smoke and dust in the air. The bodyguard suddenly charges and throws a powerful punch. She narrowly ducks, and his fist smashes into a concrete pillar, producing debris and dust. She counters with a fast spinning kick to his ribs, creating a powerful air shockwave and water splash. He catches her leg and throws her, but she performs an acrobatic mid-air flip and lands gracefully with one hand. She then rushes forward with a rapid three-hit martial arts combination. A subtle golden dragon-shaped energy trail surrounds her final palm strike. The impact creates a massive cinematic shockwave, sparks, flying dust, flickering lights and realistic camera shake. The bodyguard is thrown backward. End with a dramatic close-up of the female fighter as the lights flicker and the screen cuts to black. Realistic human movement, consistent faces and clothing, intense choreography, cinematic lighting, speed ramping, dynamic camera movement, realistic motion blur, no slow or floating movement, no cartoon style",
+      "width": [
+        "115",
+        0
+      ],
+      "height": [
+        "115",
+        1
+      ],
+      "length": [
+        "132",
+        1
+      ],
+      "clip": [
+        "128",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    },
+    "_meta": {
+      "title": "MiniMaxH3ImageToVideo"
+    }
+  },
+  "132": {
+    "class_type": "ComfyMathExpression",
+    "inputs": {
+      "expression": "max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17",
+      "values.a": [
+        "133",
+        0
+      ]
+    },
+    "_meta": {
+      "title": "ComfyMathExpression"
+    }
+  },
+  "133": {
+    "class_type": "PrimitiveFloat",
+    "inputs": {
+      "value": 5.0
+    },
+    "_meta": {
+      "title": "Float (duration)"
+    }
+  },
+  "135": {
+    "class_type": "KSamplerSelect",
+    "inputs": {
+      "sampler_name": "er_sde"
+    },
+    "_meta": {
+      "title": "KSamplerSelect"
+    }
+  },
+  "92": {
+    "class_type": "SaveVideo",
+    "inputs": {
+      "filename_prefix": "video/seedhunt_20260963",
+      "format": "auto",
+      "codec": "auto",
+      "video": [
+        "130",
+        0
+      ]
+    },
+    "_meta": {
+      "title": "SaveVideo"
+    }
+  },
+  "500": {
+    "class_type": "LoraLoaderModelOnly",
+    "inputs": {
+      "model": [
+        "127",
+        0
+      ],
+      "lora_name": "minimax_h3-lightx2v/minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy.safetensors",
+      "strength_model": 0.5
+    }
+  }
+}

examples/fight_quad/verification.json

@@ -0,0 +1,72 @@
+{
+  "date": "2026-09-21",
+  "status": "success",
+  "server_execution_seconds": 279.09,
+  "mainodes_checkout": "4e957e267795c23c4d5544cf7d62bb4fa736c4c3",
+  "browser_import": "both canvases preserve explicit recipe inputs and connections",
+  "local_adjustments": [
+    "Published adapter filename mapped to byte-identical local p4_pilot_k100.safetensors",
+    "Unique verification output prefixes"
+  ],
+  "cached_nodes": [
+    "119",
+    "127",
+    "128",
+    "135",
+    "523",
+    "2524",
+    "3300",
+    "3301",
+    "3302",
+    "3522",
+    "3524",
+    "3600"
+  ],
+  "outputs": {
+    "9000": {
+      "filename": "fight_quad_source_canvas_verify_20260921_00001_.mp4",
+      "sha256": "92994b587a84690537c3475892bfd437552feaf580c662428cead41b4fe62e03",
+      "width": 1152,
+      "height": 640,
+      "r_frame_rate": "24/1",
+      "nb_frames": "124",
+      "decode": "passed"
+    },
+    "3541": {
+      "filename": "fight_quad_adapter_canvas_verify_20260921_00001_.mp4",
+      "sha256": "51581cc2525510acbf19bbb8c73fbe96a240ea5bcb070aeec9c6002237009938",
+      "width": 1152,
+      "height": 640,
+      "r_frame_rate": "24/1",
+      "nb_frames": "124",
+      "decode": "passed"
+    },
+    "2541": {
+      "filename": "fight_quad_windowed_canvas_verify_20260921_00001_.mp4",
+      "sha256": "edb349b0f0587488172d0999605b01d81bbe2b25601ed773a82ac102159b43af",
+      "width": 1152,
+      "height": 640,
+      "r_frame_rate": "24/1",
+      "nb_frames": "124",
+      "decode": "passed"
+    },
+    "1541": {
+      "filename": "fight_quad_full_clip_canvas_verify_20260921_00001_.mp4",
+      "sha256": "1fe026877b6eda4df5bed1b20bc04aa75796d87d755d305ba21f6730e4df152f",
+      "width": 1152,
+      "height": 640,
+      "r_frame_rate": "24/1",
+      "nb_frames": "124",
+      "decode": "passed"
+    },
+    "9005": {
+      "filename": "fight_quad_comparison_canvas_verify_20260921_00001_.mp4",
+      "sha256": "529c4b88d07fe3f2f67f6687f887c0f85c9d2b70c20f5803488c9fbdae14eed8",
+      "width": 2304,
+      "height": 1280,
+      "r_frame_rate": "24/1",
+      "nb_frames": "124",
+      "decode": "passed"
+    }
+  }
+}

examples/fight_quad/windowed.api.json

@@ -0,0 +1,329 @@
+{
+  "127": {
+    "class_type": "UNETLoader",
+    "inputs": {
+      "unet_name": "minimax_h3/minimax_h3_fl2va_pruned_int8_convrot.safetensors",
+      "weight_dtype": "default"
+    }
+  },
+  "128": {
+    "class_type": "CLIPLoader",
+    "inputs": {
+      "clip_name": "minimax_h3/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
+      "type": "minimax",
+      "device": "default"
+    }
+  },
+  "119": {
+    "class_type": "VAELoader",
+    "inputs": {
+      "vae_name": "minimax_h3/minimax_h3_video_vae_fp16.safetensors"
+    }
+  },
+  "300": {
+    "class_type": "PathchSageAttentionKJ",
+    "inputs": {
+      "model": [
+        "127",
+        0
+      ],
+      "sage_attention": "auto",
+      "allow_compile": false
+    }
+  },
+  "301": {
+    "class_type": "MiniMaxH3MemoryEfficientSageAttentionPatch",
+    "inputs": {
+      "model": [
+        "300",
+        0
+      ]
+    }
+  },
+  "302": {
+    "class_type": "MiniMaxChunkFeedForward",
+    "inputs": {
+      "model": [
+        "301",
+        0
+      ],
+      "chunks": 2,
+      "seq_threshold": 65536
+    }
+  },
+  "400": {
+    "class_type": "LoadVideo",
+    "inputs": {
+      "file": "seedhunt_20260963_00001_.mp4"
+    }
+  },
+  "401": {
+    "class_type": "GetVideoComponents",
+    "inputs": {
+      "video": [
+        "400",
+        0
+      ]
+    }
+  },
+  "402": {
+    "class_type": "H3VideoFit",
+    "inputs": {
+      "images": [
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+}

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