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Duplicate from drbaph/MiniMax-H3-Turbo-Lora-ComfyUI

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Co-authored-by: DRBAPH <drbaph@users.noreply.huggingface.co>

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  1. .gitattributes +40 -0
  2. README.md +392 -0
  3. assets/1.webp +3 -0
  4. assets/1a.png +3 -0
  5. assets/2.webp +3 -0
  6. assets/MiniMax_H3_00060-audio.mp4 +3 -0
  7. assets/MiniMax_H3_audio.mp4 +3 -0
  8. fl_minimax_h3_turbo_lora_example_workflow.json +1926 -0
  9. fl_minimax_h3_turbo_lora_example_workflow_old.json +1815 -0
  10. minimax_h3_fl2v_turbo_4step_v0.1_768p_sla_comfyui_resized_avg_rank_28_bf16.safetensors +3 -0
  11. minimax_h3_fl2v_turbo_4step_v0.1_768p_sla_comfyui_resized_avg_rank_64_bf16.safetensors +3 -0
  12. minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_resized_avg_rank_21_bf16.safetensors +3 -0
  13. minimax_h3_fl2v_turbo_4step_v1.1_768p_comfyui_resized_avg_rank_28_bf16.safetensors +3 -0
  14. minimax_h3_fl2v_turbo_4step_v1.1_768p_comfyui_resized_avg_rank_64_bf16.safetensors +3 -0
  15. minimax_h3_fl2v_turbo_8step_v1.0_768p_comfyui_resized_avg_rank_20_bf16.safetensors +3 -0
  16. minimax_h3_fl2v_turbo_8step_v1.0_768p_comfyui_resized_avg_rank_64_bf16.safetensors +3 -0
  17. minimax_h3_fl2v_turbo_8step_v1.0_comfyui_resized_avg_rank_21_bf16.safetensors +3 -0
  18. minimax_h3_ref2v_turbo_4step_v0.1_comfyui_resized_avg_rank_21_bf16.safetensors +3 -0
  19. minimax_h3_turbo_4step_ckpt500_pruned_comfyui.safetensors +3 -0
  20. minimax_h3_turbo_4step_ckpt850_pruned_comfyui.safetensors +3 -0
  21. minimax_h3_turbo_4step_ema_ckpt500_pruned_comfyui.safetensors +3 -0
  22. minimax_h3_turbo_4step_ema_ckpt850_pruned_comfyui.safetensors +3 -0
  23. minimax_h3_turbo_4step_ema_pruned_comfyui.safetensors +3 -0
  24. minimax_h3_turbo_4step_pruned_comfyui.safetensors +3 -0
  25. minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors +3 -0
  26. minimax_h3_turbo_v4_step600_pruned_comfyui.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Comfy-Org/MiniMax-H3
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+ base_model_relation: adapter
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+ pipeline_tag: text-to-video
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+ tags:
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+ - minimax-h3
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+ - lora
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+ - adapter
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+ - comfyui
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+ - text-to-video
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+ - reference-to-video
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+ - audio-video
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+ - synchronized-audio
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+ - few-step
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+ - turbo
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+ - accelerated-inference
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+ - lightx2v
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+ - dynamic-rank
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+ - svd
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+ - safetensors
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+ - bfloat16
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+ - pruned-model
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+ - curve-form
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+ ---
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+
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+ # MiniMax-H3 Turbo LoRAs for ComfyUI
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+
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+ This repository contains MiniMax-H3 Turbo LoRAs converted and optimized for ComfyUI:
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+
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+ - dynamic-rank FL2V and Ref2V LoRAs derived from the official ComfyUI weights in [lightx2v/Minimax-h3-Turbo](https://huggingface.co/lightx2v/Minimax-h3-Turbo/tree/main);
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+ - pruned/curve-form compatibility conversions of the Turbo LoRAs released by [larryvrh](https://huggingface.co/larryvrh).
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+
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+ These LoRAs accelerate MiniMax-H3 video and synchronized-audio generation by reducing the required number of sampling steps.
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+
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+ ---
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+
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+ ## **Update — LightX2V FL2V and Ref2V Dynamic-Rank LoRAs**
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+
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+ Three dynamically resized BF16 LoRAs are now included. Their source weights were published in the correct MiniMax-H3 ComfyUI layout by:
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+
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+ [lightx2v/Minimax-h3-Turbo](https://huggingface.co/lightx2v/Minimax-h3-Turbo/tree/main)
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+
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+ ### New files
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+
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+ | File | Source | Purpose |
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+ | --- | --- | --- |
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+ | `minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_resized_avg_rank_21_bf16.safetensors` | `minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors` | Four-step 768p FL2V generation. |
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+ | `minimax_h3_fl2v_turbo_8step_v1.0_comfyui_resized_avg_rank_21_bf16.safetensors` | `minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors` | Eight-step FL2V generation with a greater quality focus. |
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+ | `minimax_h3_ref2v_turbo_4step_v0.1_comfyui_resized_avg_rank_21_bf16.safetensors` | `minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors` | Four-step reference-to-video generation. |
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+ | `minimax_h3_fl2v_turbo_4step_v1.1_768p_comfyui_resized_avg_rank_64_bf16.safetensors` | `minimax_h3_fl2v_turbo_4step_v1.1_768p_comfyui_bf16.safetensors` | Four-step 768p FL2V generation, high-fidelity dynamic-rank resize. |
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+ | `minimax_h3_fl2v_turbo_4step_v1.1_768p_comfyui_resized_avg_rank_28_bf16.safetensors` | `minimax_h3_fl2v_turbo_4step_v1.1_768p_comfyui_bf16.safetensors` | Four-step 768p FL2V generation, compact dynamic-rank resize. |
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+
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+ The LightX2V files were already supplied in the correct ComfyUI namespace and QKV layout. No namespace conversion or AdaLN pruning was required.
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+
56
+ ### How the LoRAs were resized
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+
58
+ Each LoRA was compressed using an exact compact SVD calculated from its LoRA A/B factors without materializing the full dense weight updates.
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+
60
+ The process:
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+
62
+ 1. Treats every attention, MLP and token-refiner projection independently.
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+ 2. Separates fused QKV adapters into their original Q, K and V projections.
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+ 3. Calculates the exact singular spectrum of each effective `B @ A` update.
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+ 4. Selects a dynamic rank independently for every projection.
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+ 5. Preserves one additional safety rank beyond the Frobenius-energy threshold.
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+ 6. Rebuilds balanced factors as `A = sqrt(S) × Vh` and `B = U × sqrt(S)`.
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+ 7. Re-fuses Q, K and V using concatenated A factors and a block-diagonal B matrix.
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+ 8. Bakes the source `alpha / rank` scale into `lora_B`.
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+ 9. Removes the no-longer-required alpha tensors.
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+ 10. Saves all output tensors as BF16.
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+
73
+ All three files target the same projection-level average rank:
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+
75
+ - Rank sum: `6778`
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+ - Projection count: `312`
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+ - Average projection rank: `21.724359`
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+ - Filename rank: `floor(21.724359) = 21`
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+
80
+ Q, K and V are counted separately. The stored rank of a fused QKV adapter is the sum of its three independently selected ranks.
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+
82
+ ### Resize results
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+
84
+ | LoRA | Output size | Average rank | Mean Frobenius norm retained | Baked scale |
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+ | --- | ---: | ---: | ---: | ---: |
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+ | FL2V 4-step v1.0 768p | 284.36 MiB | 21.724359 | 94.95% | 1.0 |
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+ | FL2V 8-step v1.0 | 311.89 MiB | 21.724359 | 97.72% | 0.0625 |
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+ | Ref2V 4-step v0.1 | 311.79 MiB | 21.724359 | 98.33% | 0.0625 |
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+ | FL2V 4-step v1.1 768p (rank 64) | 891.65 MiB | 64.500000 | 98.18% | 1.0 |
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+ | FL2V 4-step v1.1 768p (rank 28) | 375.55 MiB | 28.500000 | 93.59% | 1.0 |
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+
92
+ The Ref2V source was reduced from approximately 1,865.57 MiB to 311.79 MiB, an 83.29% reduction. The v1.1 768p source (1,865.57 MiB) was reduced to 891.65 MiB (−52.21%) at rank 64 and to 375.55 MiB (−79.87%) at rank 28.
93
+
94
+ A separate Frobenius threshold was solved for each LoRA because their singular-value distributions differ. Reusing one fixed threshold would not produce the same average rank.
95
+
96
+ ### Ref2V numerical validation
97
+
98
+ Direct comparison between the original and resized effective LoRA updates produced:
99
+
100
+ | Measurement | Result |
101
+ | --- | ---: |
102
+ | Global cosine similarity | 99.9190% |
103
+ | Global relative L2 error | 4.0234% |
104
+ | Mean projection Frobenius norm retained | 98.3332% |
105
+ | Minimum projection Frobenius norm retained | 96.4904% |
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+ | Projection rank range | 2–105 |
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+ | Size reduction | 83.29% |
108
+
109
+ These are numerical weight-reconstruction measurements, not a perceptual video-quality score.
110
+
111
+ ### FL2V 4-step v1.1 768p numerical validation
112
+
113
+ Direct comparison between the v1.1 source and each resized variant produced:
114
+
115
+ | Measurement | Rank 64 | Rank 28 |
116
+ | --- | ---: | ---: |
117
+ | Global cosine similarity | 99.1169% | 97.3279% |
118
+ | Global relative L2 error | 13.2601% | 22.9625% |
119
+ | Mean projection Frobenius norm retained | 98.1774% | 93.5945% |
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+ | Minimum projection Frobenius norm retained | 98.0817% | 92.6661% |
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+ | Projection rank range | 2–120 | 2–99 |
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+ | Size reduction | 52.21% | 79.87% |
123
+
124
+ These are numerical weight-reconstruction measurements, not a perceptual video-quality score.
125
+
126
+ ### Structural validation
127
+
128
+ Every resized LightX2V file contains:
129
+
130
+ | Component | Count |
131
+ | --- | ---: |
132
+ | BF16 tensors | 416 |
133
+ | LoRA A/B pairs | 208 |
134
+ | Independently ranked projections | 312 |
135
+ | QKV modules | 52 |
136
+ | Alpha tensors | 0 |
137
+
138
+ Validation confirmed:
139
+
140
+ - all tensors contain finite BF16 values;
141
+ - every LoRA A tensor has a matching LoRA B tensor;
142
+ - ComfyUI recognizes all 208 adapters and all 416 tensors;
143
+ - no incompatible or unresolved tensors remain;
144
+ - QKV rank columns remain block-diagonal and ordered as Q, K and V;
145
+ - the original effective LoRA scale is preserved;
146
+ - the exact average projection rank is 21.724359.
147
+
148
+ ---
149
+
150
+ ## Workflow Example
151
+
152
+ The following output was generated with the recommended pruned-model workflow using the v4 step-600 EMA LoRA.
153
+
154
+ <video
155
+ src="https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_audio.mp4"
156
+ controls
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+ loop
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+ width="100%"> </video>
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+
160
+ ### Current workflow
161
+
162
+ [Download the current ComfyUI workflow](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow.json?download=true)
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+
164
+ - Workflow: `fl_minimax_h3_turbo_lora_example_workflow.json`
165
+ - LoRA: `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
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+ - Steps: `6–8`
167
+ - Sampler: `Euler`
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+ - Scheduler: `Beta`
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+ - LoRA strength: `1.0`
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+ - Video sigma shift: `12`
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+ - Audio sigma shift: `4–6`
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+
173
+ The previous workflow remains available here:
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+
175
+ [Download the previous workflow](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow_old.json?download=true)
176
+
177
+ [View the previous workflow output](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_00060-audio.mp4)
178
+
179
+ ---
180
+
181
+ ## Included Files
182
+
183
+ ### LightX2V dynamic-rank LoRAs
184
+
185
+ | File | Description |
186
+ | --- | --- |
187
+ | `minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_resized_avg_rank_21_bf16.safetensors` | Dynamic-SVD resize of the official LightX2V four-step 768p FL2V LoRA. |
188
+ | `minimax_h3_fl2v_turbo_8step_v1.0_comfyui_resized_avg_rank_21_bf16.safetensors` | Dynamic-SVD resize of the official LightX2V eight-step FL2V LoRA. |
189
+ | `minimax_h3_ref2v_turbo_4step_v0.1_comfyui_resized_avg_rank_21_bf16.safetensors` | Dynamic-SVD resize of the official LightX2V four-step Ref2V LoRA. |
190
+
191
+ ### Pruned/curve-form compatibility conversions
192
+
193
+ | File | Description |
194
+ | --- | --- |
195
+ | `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors` | **Recommended.** Pruned-model conversion of the v4 step-600 EMA checkpoint. |
196
+ | `minimax_h3_turbo_v4_step600_pruned_comfyui.safetensors` | Non-EMA v4 step-600 variant. |
197
+ | `minimax_h3_turbo_4step_ema_ckpt850_pruned_comfyui.safetensors` | EMA checkpoint-850 conversion. |
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+ | `minimax_h3_turbo_4step_ckpt850_pruned_comfyui.safetensors` | Non-EMA checkpoint-850 conversion. |
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+ | `minimax_h3_turbo_4step_ema_ckpt500_pruned_comfyui.safetensors` | EMA checkpoint-500 conversion. |
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+ | `minimax_h3_turbo_4step_ckpt500_pruned_comfyui.safetensors` | Non-EMA checkpoint-500 conversion. |
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+ | `minimax_h3_turbo_4step_ema_pruned_comfyui.safetensors` | Initial EMA Turbo preview conversion. |
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+ | `minimax_h3_turbo_4step_pruned_comfyui.safetensors` | Initial non-EMA Turbo preview conversion. |
203
+
204
+ ### Workflows and assets
205
+
206
+ | File | Description |
207
+ | --- | --- |
208
+ | `fl_minimax_h3_turbo_lora_example_workflow.json` | Current recommended ComfyUI workflow. |
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+ | `fl_minimax_h3_turbo_lora_example_workflow_old.json` | Previous workflow retained for comparison. |
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+ | `assets/MiniMax_H3_audio.mp4` | Current workflow example output. |
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+ | `assets/MiniMax_H3_00060-audio.mp4` | Previous workflow example output. |
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+
213
+ EMA and non-EMA files contain different tensor values and are retained separately.
214
+
215
+ ---
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+
217
+ ## Pruned/Curve-Form Compatibility Conversions
218
+
219
+ The older full-model Turbo LoRAs use keys such as:
220
+
221
+ `blocks.0.attn.qkv_proj.lora_A.weight`
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+
223
+ ComfyUI expects:
224
+
225
+ `diffusion_model.blocks.0.attn.qkv_proj.lora_A.weight`
226
+
227
+ The compatibility conversion applies:
228
+
229
+ - `blocks.*` → `diffusion_model.blocks.*`
230
+ - `token_refiner.*` → `diffusion_model.token_refiner.*`
231
+
232
+ The original full-model LoRAs also contain AdaLN adapters whose dimensions do not match the pruned/curve-form MiniMax-H3 checkpoint. Those incompatible adapters were removed.
233
+
234
+ | Component | Count |
235
+ | --- | ---: |
236
+ | Source tensors | 518 |
237
+ | Source LoRA A/B pairs | 259 |
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+ | Retained tensors | 416 |
239
+ | Retained LoRA A/B pairs | 208 |
240
+ | Removed AdaLN tensors | 102 |
241
+ | Removed AdaLN A/B pairs | 51 |
242
+
243
+ The removed adapters consist of 50 AdaLN projection pairs from `blocks.0` through `blocks.49` and one pair from `final_layer.adaln_proj.linear`.
244
+
245
+ These files are partial compatibility conversions and should not be assumed to behave identically to the original full-model LoRA used with its intended complete MiniMax-H3 base model.
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+
247
+ The LightX2V dynamic-rank LoRAs do not use this pruning process.
248
+
249
+ ---
250
+
251
+ ## Usage
252
+
253
+ Place the LoRA files in:
254
+
255
+ `ComfyUI/models/loras/`
256
+
257
+ Load the selected LoRA with its compatible MiniMax-H3 model and workflow.
258
+
259
+ Recommended starting strength:
260
+
261
+ `1.0`
262
+
263
+ If adjustment is needed, test approximately:
264
+
265
+ `0.8–1.2`
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+
267
+ When comparing files, keep the following identical:
268
+
269
+ - prompt;
270
+ - seed;
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+ - resolution;
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+ - frame count;
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+ - base model;
274
+ - conditioning inputs;
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+ - sampler;
276
+ - scheduler;
277
+ - LoRA strength;
278
+ - sigma shifts;
279
+ - workflow.
280
+
281
+ ---
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+
283
+ ## Sampling Guidance
284
+
285
+ ### Four steps
286
+
287
+ Maximum speed and useful for rapid previews. Use the matching four-step LightX2V FL2V or Ref2V workflow.
288
+
289
+ ### Six steps
290
+
291
+ A good speed-to-quality compromise for the v4 step-600 EMA pruned conversion.
292
+
293
+ ### Eight steps
294
+
295
+ Recommended when prioritizing quality, motion consistency and synchronized-audio stability.
296
+
297
+ For the existing pruned-model workflow, start with:
298
+
299
+ - Steps: `8`
300
+ - Sampler: `Euler`
301
+ - Scheduler: `Beta`
302
+ - LoRA strength: `1.0`
303
+ - Video sigma shift: `12`
304
+ - Audio sigma shift: `4–6`
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+
306
+ Follow the source project recommendations when using the LightX2V LoRAs:
307
+
308
+ [lightx2v/Minimax-h3-Turbo](https://huggingface.co/lightx2v/Minimax-h3-Turbo/tree/main)
309
+
310
+ ---
311
+
312
+ ## Audio and Scheduler Notes
313
+
314
+ MiniMax-H3 generates video and synchronized audio as separate streams with different scheduling requirements.
315
+
316
+ Incorrect audio scheduling may cause:
317
+
318
+ - severe distortion;
319
+ - noise-like output;
320
+ - unstable or blown-out audio;
321
+ - completely broken audio.
322
+
323
+ If audio is unstable, check:
324
+
325
+ - sampler and scheduler configuration;
326
+ - audio and video sigma shifts;
327
+ - ComfyUI version;
328
+ - MiniMax-H3 sampling implementation;
329
+ - custom sampler nodes;
330
+ - whether the workflow matches the selected FL2V or Ref2V LoRA.
331
+
332
+ Broken audio should not automatically be attributed to the LoRA.
333
+
334
+ ---
335
+
336
+ ## Optional Acceleration
337
+
338
+ These LoRAs may be used with compatible ComfyUI acceleration methods such as:
339
+
340
+ - Comfy Kitchen attention;
341
+ - SageAttention;
342
+ - Sol Attention;
343
+ - Spectrum.
344
+
345
+ These methods are optional and are not included in this repository. Some attention backends replace one another rather than stacking, and patch order depends on the implementation.
346
+
347
+ For few-step Turbo workflows, establish a clean baseline before adding approximate attention or trajectory-forecasting methods.
348
+
349
+ ---
350
+
351
+ ## Attribution
352
+
353
+ ### LightX2V LoRAs
354
+
355
+ The dynamically resized FL2V and Ref2V LoRAs are derived from the official ComfyUI-compatible files released by:
356
+
357
+ [lightx2v/Minimax-h3-Turbo](https://huggingface.co/lightx2v/Minimax-h3-Turbo/tree/main)
358
+
359
+ Credit for the source weights, training and release belongs to the LightX2V project and its contributors.
360
+
361
+ This repository provides only the dynamic-rank BF16 resizing, packaging and validation described above.
362
+
363
+ ### Original Turbo LoRAs
364
+
365
+ The older Turbo LoRA weights, training work and distillation method were released by:
366
+
367
+ [larryvrh/MiniMax-H3-Turbo-Lora](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora)
368
+
369
+ Original ComfyUI Turbo custom node:
370
+
371
+ [ComfyUI-MiniMax-H3-Turbo](https://github.com/Larryvrh/ComfyUI-MiniMax-H3-Turbo)
372
+
373
+ This repository does not claim authorship of:
374
+
375
+ - the original LoRA weights;
376
+ - LoRA training or distillation;
377
+ - the few-step sampling methods;
378
+ - MiniMax-H3 video/audio scheduling;
379
+ - the MiniMax-H3 base model;
380
+ - the pruned/curve-form checkpoint;
381
+ - the LightX2V source weights;
382
+ - the original project documentation or generation code.
383
+
384
+ The modifications provided here are limited to:
385
+
386
+ - pruned/curve-form ComfyUI compatibility conversions;
387
+ - namespace adjustments;
388
+ - removal of incompatible AdaLN adapters where required;
389
+ - exact dynamic-rank SVD resizing of the LightX2V ComfyUI LoRAs;
390
+ - BF16 safetensors packaging and validation.
391
+
392
+ Please retain attribution and comply with the licenses and terms of the original LoRAs and MiniMax-H3 base model when using or redistributing these files.
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+ "flags": {},
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+ "For the target video, at 0.00 seconds into the target video, <Picture 1> (from [Shot 1]) is fully referenced.\n\nintegrated_multimodal_description: [Shot 1] Photorealistic high-definition wildlife documentary footage in a premium National Geographic-style macro aesthetic. The chameleon shown in <Picture 1> remains on the same wet moss-covered branch, preserving its body shape, large turreted eye, textured scales, droplets of water, and the surrounding rainforest foliage. It begins slowly walking forward along the branch with deliberate, realistic stepping, gripping the bark one foot at a time while its body sways subtly and its tail balances naturally behind it. As it moves, its skin gradually shifts through different vivid chameleon colours in a smooth natural sequence: starting with its existing green patterning, then blending into brighter emerald and lime tones, followed by patches of turquoise, yellow, orange, and deeper red accents, before subtly returning to a rich multicoloured green by the end. The colour changes should ripple gently across the scales rather than flicker, appearing organic and biologically believable. Water droplets on its face and crest tremble and occasionally slide as it moves. Its eye rotates independently and makes small, observant movements while the mouth and facial structure remain unchanged. The camera performs an extremely smooth macro tracking shot with small amplitude at slow speed, staying close to the chameleon's head and front body while maintaining sharp focus on the nearest eye and face. Use crisp 4K wildlife detail, realistic moisture, soft diffused rainforest daylight, shallow cinematic depth of field, creamy green background bokeh, and gentle foreground foliage blur. The movement remains calm and unhurried throughout, ending with the chameleon still slowly advancing along the branch as its final colours glow richly against the blurred jungle background.\n\noverall_soundscape: Quiet rainforest ambience with faint birds, soft insects, light dripping water, and gentle leaf rustling. Subtle wet contact sounds accompany the chameleon's feet gripping and releasing from the mossy branch, with tiny droplets occasionally falling.\n\nnon_diegetic_music: N/A",
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+ "## Model Links\n\n**vae**\n\n- [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n**diffusion_models**\n\n- [minimax_h3_fl2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ ├── minimax_h3_video_vae_fp16.safetensors\n│ │ └── minimax_h3_audio_vae_fp32.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── minimax_h3_fl2va_pruned_int8_convrot.safetensors\n│ └── 📂 text_encoders/\n│ └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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He lightly re-wets the hair once more, uses only a very small subtle dusting of powder, then softly brushes the finished hairstyle until it looks smooth, bouncy, and suave, finally holding a mirror up for the seagull to admire the result.\n\nretention_analysis:\n<Subject 1> (appears throughout after entering): fully_preserved - retain the barber’s identity, hairstyle, beard, black clothing, delicate professional handling, and calm gentle behaviour.\n\n<Subject 2> (appears throughout): fully_preserved - retain the seagull’s identity, feathers, beak, eyes, cape, and natural anatomy while transforming only the hairstyle from wild and overgrown to neat, rounded, bouncy, and suave.\n\n<Subject 3> (appears throughout): fully_preserved - maintain the dark modern barbershop, mirrors, tools, lighting, and realistic depth.\n\ndetailed_description:\nThe target video uses a photorealistic cinematic ASMR style with shallow depth of field, crisp macro detail, natural professional barber movements, gentle comedy, and no dialogue or background music. Do not use electric clippers.\n\n[Shot 1] The video opens on <Subject 2> sitting alone beneath the black barber cape with extremely wild, long, uneven hair sticking out in every direction, matching <Picture 1>. The seagull blinks calmly. <Subject 1> then steps into frame behind the chair holding one small spray bottle and a pair of thin, delicate barber scissors.\n\n[Shot 2] At 00:02.000, cut to a tight close-up as <Subject 1> gently wets the hair using the single spray bottle. He gives two or three soft, separate squirts, each one light and controlled rather than harsh or excessive. Droplets settle into the hair, making it visibly damp and easier to shape. The seagull slowly lowers its eyelids, appearing relaxed.\n\n[Shot 3] At 00:04.000, cut to an ultra-close macro shot of the thin scissor tips. The barber trims only the very ends of the wet longer strands. The pace is slow, sensitive, and precise, like a real careful barber doing finishing work: snip... pause... snip... pause... snip. The blades are slim and dainty, never bulky. The camera stays tightly focused on the scissor tips, fingertips, wet strands, and tiny cut ends falling softly. The sound of the scissors cutting damp hair is crisp, intimate, and relaxing.\n\n[Shot 4] At 00:07.000, begin a smooth time-lapse montage. <Subject 1> moves naturally around both sides and behind the seagull, gently lifting sections, trimming tiny amounts from different areas, checking the shape, and refining the outline little by little. The seagull remains still with its eyes semi-closed, occasionally blinking as if enjoying the pampering. The messy hairstyle gradually becomes more balanced, rounded, and stylish.\n\n[Shot 5] At 00:11.000, during the time-lapse, the barber lightly re-wets the hair again with the same spray bottle using one or two soft squirts, then continues making tiny slow finishing snips. He never removes too much at once. The hairstyle becomes smooth, soft, and refined rather than short or overly cut.\n\n[Shot 6] At 00:13.500, return to normal speed in a close macro angle. <Subject 1> applies only a very small, subtle puff of barber powder, just enough to lightly dust the hair without creating a large cloud. He then gently brushes away any loose strands with a soft barber brush.\n\n[Shot 7] At 00:15.000, a close front angle shows the barber brushing and styling the hair with soft controlled strokes. The hair settles into a clean, rounded, suave shape with a soft bounce. The seagull’s eyes remain partially closed, calm and content.\n\n[Shot 8] At 00:17.000, <Subject 1> holds a small handheld mirror in front of <Subject 2>. The seagull looks at its reflection, opens its eyes, gives one slow satisfied blink, and subtly lifts its head with a proud expression. The barber smiles behind it as the finished hairstyle gives one final soft bouncy settle. End exactly at 00:18.000.\n\noverall_soundscape:\nDetailed close-range relaxing ASMR audio: soft trigger-sound spray bottle squirts from a single bottle, water settling into hair, extremely crisp slow scissor snips, the delicate sound of thin scissors cutting wet hair, faint hair strands falling, gentle barber hand movement, light brushing, a very soft minimal powder puff, feather rustling, cape fabric movement, quiet mirror handling, and subtle low barbershop room tone. Keep the audio intimate, soothing, and highly synchronized.\n\nnon_diegetic_music:\nN/A",
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+ "## Model Links\n\n**vae**\n\n- [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n**diffusion_models**\n\n- [minimax_h3_fl2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ ├── minimax_h3_video_vae_fp16.safetensors\n│ │ └── minimax_h3_audio_vae_fp32.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── minimax_h3_fl2va_pruned_int8_convrot.safetensors\n│ └── 📂 text_encoders/\n│ └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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+ "## MiniMax H3\n\n[MiniMax H3](https://www.minimax.io/blog/minimax-h3) is MiniMax's general-purpose, omni-modal generation model. It jointly understands text, image, video, and audio, and generates video with **native stereo audio**: voice, sound effects, and music are modeled jointly in a single forward pass, not layered on afterward. Output is up to 2K resolution, 24fps, and up to about 15 seconds.\n\n## About this workflow\n\nThis template runs the **Image to Video** task (`MiniMaxH3ImageToVideo` node), which covers both:\n\n- **t2va** (text-to-video), when no images are connected\n- **fl2va** (first/last-frame image-to-video), when `first_frame` and/or `last_frame` are connected\n\n**Key inputs**\n\n- **first_frame / last_frame**: optional keyframes; the model generates the motion between them\n- **prompt**: describe the shots, motion, and the accompanying audio (dialogue, SFX, music) in one block\n- **width / height**: set via Resolution Selector. H3's native canvas is a 768px short edge, capped at 768x1344 pixels, rounded to a multiple of 32\n- **duration (seconds)**: converted to a valid frame `length` by the Math Expression node, snapping up to the model's 17-frame-per-block (17k+5) grid at 24fps"
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