malcolmrey commited on
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workflows

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H3/workflow_api_minimaxh3_fbc_refmod_c2v_standard.json ADDED
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H3/workflow_api_minimaxh3_fbc_refmod_c2v_turbo.json ADDED
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MINIMAX_H3_API_WORKFLOWS_GUIDE.md ADDED
@@ -0,0 +1,309 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # MiniMax-H3 ComfyUI API Workflows: Comprehensive Guide & Catalog
2
+
3
+ _Author: malcolmrey_
4
+ _Last Updated: September 2026_
5
+ _Repository & Models: [huggingface.co/malcolmrey](https://huggingface.co/malcolmrey)_
6
+
7
+ ---
8
+
9
+ ## 1. Overview & Ecosystem Architecture
10
+
11
+ **MiniMax-H3** is a state-of-the-art multimodal video and audio generation Diffusion Transformer (DiT). This collection provides production-ready, programmatic **ComfyUI API workflows** (`workflow_api_*.json`) covering:
12
+
13
+ 1. **FirstBlockCache (FBC) + SageAttention Fused Acceleration:** Realizing up to **5.24× speedups** with zero quality loss.
14
+ 2. **Zero-Training RefMod Identity Adapters:** Instant-load persona conditioning without live VAE image encoding overhead or model retraining.
15
+ 3. **Step Distillation Pipelines:** Native integration with **LightX Turbo v1.0** 8-step and 4-step low-rank adapters.
16
+ 4. **End-to-End Multimodal Generation:** Simultaneous high-fidelity 35mm cinematic video and lip-synchronized acoustic dialogue / ambient soundscapes.
17
+ 5. **Clip-to-Video (C2V) Continuous Chaining:** Seamless multi-scene narrative stitching via latent motion context trimming.
18
+
19
+ ---
20
+
21
+ ## 2. Directory Structure & Required Weights
22
+
23
+ ### A. Recommended ComfyUI Model Layout
24
+
25
+ ```text
26
+ ComfyUI/
27
+ ├── models/
28
+ │ ├── diffusion_models/
29
+ │ │ └── MinimaxH3/
30
+ │ │ └── minimax_h3_fl2va_pruned_int8_convrot.safetensors (or bf16 variant)
31
+ │ ├── clip/
32
+ │ │ └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
33
+ │ ├── vae/
34
+ │ │ ├── minimax_h3_video_vae_fp16.safetensors
35
+ │ │ └── minimax_h3_audio_vae_fp32.safetensors
36
+ │ ├── loras/
37
+ │ │ └── MinimaxH3/
38
+ │ │ └── special/
39
+ │ │ ├── minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
40
+ │ │ ├── minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
41
+ │ │ └── minimax_h3_fl2v_turbo_4step_v1.2_768p_comfyui_bf16.safetensors
42
+ │ └── refmods/
43
+ │ ├── minimaxh3_<name>_v1_refmod.safetensors
44
+ │ └── ...
45
+ ```
46
+
47
+ ---
48
+
49
+ ## 3. Required Custom Nodes
50
+
51
+ To execute these workflows via API or ComfyUI GUI, install the following custom nodes:
52
+
53
+ 1. **`ComfyUI-MiniMaxH3Mod`** (RefMod Loader & Conditioning Apply):
54
+ ```bash
55
+ cd ComfyUI/custom_nodes
56
+ git clone https://github.com/Luisacaotica/ComfyUI-MiniMaxH3Mod.git
57
+ ```
58
+
59
+ 2. **`ComfyUI-MiniMaxH3-FirstBlockCache`** (Transformer Block Caching):
60
+ ```bash
61
+ cd ComfyUI/custom_nodes
62
+ git clone https://github.com/chengzeyi/ComfyUI-MiniMaxH3-FirstBlockCache.git
63
+ ```
64
+
65
+ 3. **`comfyui-kjnodes`** (SageAttention & Optimization Patches):
66
+ ```bash
67
+ cd ComfyUI/custom_nodes
68
+ git clone https://github.com/kijai/comfyui-kjnodes.git
69
+ ```
70
+
71
+ 4. **`rgthree-comfy`** (Power LoRA Loader Stack):
72
+ ```bash
73
+ cd ComfyUI/custom_nodes
74
+ git clone https://github.com/rgthree/rgthree-comfy.git
75
+ ```
76
+
77
+ 5. **`ComfyUI-VideoHelperSuite`** (Video Loaders & Muxing):
78
+ ```bash
79
+ cd ComfyUI/custom_nodes
80
+ git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite.git
81
+ ```
82
+
83
+ ---
84
+
85
+ ## 4. Complete Workflow Registry
86
+
87
+ ### Category 1: Accelerated Standalone RefMod Pipelines (FBC + SageAttention + LightX)
88
+
89
+ | Workflow File | Steps | Sampler | Scheduler | FBC Mode | Distillation LoRA | Render Time (5s 124f) | Recommended Use Case |
90
+ |---|:---:|---|---|---|---|:---:|---|
91
+ | `workflow_api_minimaxh3_fbc_refmod_standard.json` | **20** | `res_multistep` | `simple` | **Safe** (0.08 / max 2) | None | ~110s (1m 50s) | Maximum micro-texture archival quality |
92
+ | `workflow_api_minimaxh3_fbc_refmod_turbo_8step.json` | **8** | `euler` | `simple` | **Fast** (0.10 / max 2) | LightX Turbo 8-Step | **~41s (2.68× faster)** | **Primary Production Standard** (98% quality) |
93
+ | `workflow_api_minimaxh3_fbc_refmod_turbo_4step.json` | **4** | `euler` | `simple` | **Fast** (0.10 / max 2) | LightX Turbo 4-Step | **~21s (5.24× faster)** | High-speed screening & seed hunting |
94
+
95
+ ---
96
+
97
+ ### Category 2: Accelerated C2V (Clip-to-Video) Continuous Chaining Pipelines
98
+
99
+ These workflows enable **seamless multi-clip narrative continuation** without camera cuts while maintaining full FBC + SageAttention speed acceleration and RefMod persona likeness:
100
+
101
+ | Workflow File | Steps | Sampler | Scheduler | FBC Mode | Distillation LoRA | C2V Motion Context | Recommended Use Case |
102
+ |---|:---:|---|---|---|---|:---:|---|
103
+ | `workflow_api_minimaxh3_fbc_refmod_c2v_standard.json` | **20** | `res_multistep` | `simple` | **Safe** (0.08 / max 2) | None | 22 frames (trimmed) | Master-quality continuous narrative scenes |
104
+ | `workflow_api_minimaxh3_fbc_refmod_c2v_turbo_8step.json` | **8** | `euler` | `simple` | **Fast** (0.10 / max 2) | LightX Turbo 8-Step | 22 frames (trimmed) | **Primary Multi-Scene Movie Production** (~41s/scene) |
105
+ | `workflow_api_minimaxh3_fbc_refmod_c2v_turbo_4step.json` | **4** | `euler` | `simple` | **Fast** (0.10 / max 2) | LightX Turbo 4-Step | 22 frames (trimmed) | Fast multi-clip storyboarding (~21s/scene) |
106
+
107
+ #### C2V Pipeline Dataflow:
108
+ ```
109
+ [ UNETLoader ] ──► [ PathchSageAttentionKJ ] ──► [ ApplyMiniMaxH3FirstBlockCache ]
110
+ │
111
+ ▼
112
+ [ Power Lora Loader (rgthree) ]
113
+ │
114
+ [ CLIPLoader ] ──► [ MiniMaxH3ImageToVideo ] ◄─────────────────┘
115
+ │
116
+ [ RefModsLoader ] ──► [ MiniMaxH3RefModApply ]
117
+ │
118
+ [ MotionContextLoadLatent ] ──► [ MiniMaxH3MotionContext ]
119
+ │
120
+ ▼
121
+ [ BasicGuider + SamplerCustomAdvanced ]
122
+ │
123
+ ┌─────────────┼─────────────┐
124
+ ▼ ▼ ▼
125
+ [ VAEDecode ] [ VAEDecodeAudio ] [ MotionContextSaveLatent ]
126
+ │ │
127
+ └──────┬──────┘
128
+ ▼
129
+ [ MotionContextTrim ] ──► [ CreateVideo ] ──► [ SaveVideo ]
130
+ ```
131
+
132
+ ---
133
+
134
+ ### Category 3: Legacy & Core Multimodal Workflows
135
+
136
+ #### 1. Text-to-Video (T2V) — `workflow_api_minimaxh3_t2v.json`
137
+ - **Purpose:** Generates full cinematic video and synchronized audio directly from multimodal prompts.
138
+ - **Key Nodes:** `MiniMaxH3ImageToVideo`, `PathchSageAttentionKJ`, `SpectrumApplyMiniMaxH3`, `SamplerCustomAdvanced`.
139
+ - **Inputs:** Prompt text, dimensions (e.g., `768x1344` or `1344x768`), duration/length frames, seed.
140
+
141
+ #### 2. Image-to-Video (I2V) — `workflow_api_minimaxh3_i2v.json`
142
+ - **Purpose:** Animates a starting image anchor into a continuous temporal sequence.
143
+ - **Key Nodes:** `LoadImage`, `MiniMaxH3ImageToVideo`, `VAEDecode`, `CreateVideo`.
144
+ - **Inputs:** Source image file, motion prompt, duration, resolution.
145
+
146
+ #### 3. Reference-to-Video (R2V) — `workflow_api_minimaxh3_r2v.json`
147
+ - **Purpose:** Full multi-modal conditioning incorporating reference images, reference audio files, and reference video clips simultaneously.
148
+ - **Key Nodes:** `MiniMaxH3ReferenceToVideo`, `VHS_LoadAudioUpload`, `VHS_LoadVideo`, `LoadImage`.
149
+ - **Inputs:** Reference audio track, reference face/character image, target prompt.
150
+
151
+ ---
152
+
153
+ ### Category 3: Narrative Continuity & Multi-Scene Chaining
154
+
155
+ #### 1. Clip-to-Video Continuation (C2V) — `workflow_api_minimaxh3_c2v.json`
156
+ - **Purpose:** Continues an existing video clip seamlessly into the next scene without cuts, preserving velocity, character positions, and lighting continuity.
157
+ - **Key Nodes:** `MiniMaxH3MotionContextLoadLatent`, `MiniMaxH3MotionContextTrim`, `MiniMaxH3MotionContextSaveLatent`.
158
+ - **Method:** Loads the previous scene's uncompressed latent cache, trims the tail motion context, and feeds it as the prior boundary for the new generation.
159
+
160
+ #### 2. Reference + Clip-to-Video (Ref-C2V) — `workflow_api_minimaxh3_ref_c2v.json`
161
+ - **Purpose:** Extends C2V continuous chaining while actively enforcing reference image / audio adapters across sequential scene transitions.
162
+
163
+ ---
164
+
165
+ ### Category 4: Interactive GUI Graph
166
+
167
+ - **`workflow_minimaxh3_refmod.json`:** Comprehensive visual graph for the ComfyUI web UI with interactive sliders for RefMod blend curves (`linear`, `constant`, `smoothstep`), weight retention, and real-time audio playback preview.
168
+
169
+ ---
170
+
171
+ ## 5. Programmatic API Python Client Example
172
+
173
+ Below is a complete, standalone Python snippet demonstrating how to queue any of these API workflows through the ComfyUI REST endpoint (`http://127.0.0.1:8188/prompt`):
174
+
175
+ ```python
176
+ import json
177
+ import urllib.request
178
+ import os
179
+ import uuid
180
+ import time
181
+
182
+ COMFY_HOST = "127.0.0.1"
183
+ COMFY_PORT = 8188
184
+
185
+ def generate_minimax_video(
186
+ workflow_path="workflow_api_minimaxh3_fbc_refmod_turbo_8step.json",
187
+ refmod_name="minimaxh3_aneta_v1_refmod",
188
+ prompt_text=None,
189
+ width=1344,
190
+ height=768,
191
+ duration_sec=5.16,
192
+ fps=24,
193
+ seed=2026090595,
194
+ output_prefix="video/MiniMax_H3_API_Render"
195
+ ):
196
+ with open(workflow_path, "r", encoding="utf-8") as f:
197
+ wf = json.load(f)
198
+
199
+ # Unwrap {"prompt": {...}} wrapper if present
200
+ prompt = wf.get("prompt", wf)
201
+
202
+ total_frames = int(duration_sec * fps) + 1
203
+
204
+ # Customize node inputs
205
+ for nid, node in prompt.items():
206
+ ctype = node.get("class_type")
207
+
208
+ # Prompt & Dimensions
209
+ if ctype in ["MiniMaxH3ImageToVideo", "MiniMaxH3ReferenceToVideo"]:
210
+ if prompt_text:
211
+ node["inputs"]["prompt"] = prompt_text
212
+ node["inputs"]["width"] = width
213
+ node["inputs"]["height"] = height
214
+ node["inputs"]["length"] = total_frames
215
+
216
+ # RefMod Loader
217
+ elif ctype == "MiniMaxH3RefModsLoader":
218
+ if refmod_name:
219
+ node["inputs"]["mod_1"] = refmod_name
220
+ node["inputs"]["strength_1"] = 1.0
221
+
222
+ # Random Seed
223
+ elif ctype == "RandomNoise":
224
+ node["inputs"]["noise_seed"] = seed
225
+
226
+ # Output filename prefix
227
+ elif ctype == "SaveVideo":
228
+ node["inputs"]["filename_prefix"] = output_prefix
229
+
230
+ # Submit to ComfyUI
231
+ payload = json.dumps({"prompt": prompt, "client_id": str(uuid.uuid4())}).encode("utf-8")
232
+ req = urllib.request.Request(
233
+ f"http://{COMFY_HOST}:{COMFY_PORT}/prompt",
234
+ data=payload,
235
+ headers={"Content-Type": "application/json"}
236
+ )
237
+
238
+ with urllib.request.urlopen(req) as resp:
239
+ res = json.loads(resp.read().decode("utf-8"))
240
+ prompt_id = res["prompt_id"]
241
+ print(f"Queued task successfully! Prompt ID: {prompt_id}")
242
+
243
+ # Poll execution progress
244
+ while True:
245
+ req = urllib.request.Request(f"http://{COMFY_HOST}:{COMFY_PORT}/history/{prompt_id}")
246
+ with urllib.request.urlopen(req) as resp:
247
+ history = json.loads(resp.read().decode("utf-8"))
248
+
249
+ if prompt_id in history:
250
+ status = history[prompt_id].get("status", {})
251
+ if status.get("completed") or status.get("status_str") == "success":
252
+ outputs = history[prompt_id].get("outputs", {})
253
+ for nid, nout in outputs.items():
254
+ for key in ["videos", "gifs", "images"]:
255
+ if key in nout:
256
+ for f in nout[key]:
257
+ print(f"Generation complete! Output file: {f.get('filename')}")
258
+ return f.get("filename")
259
+ elif status.get("status_str") == "error":
260
+ raise RuntimeError(f"ComfyUI Job Failed: {history[prompt_id]}")
261
+
262
+ time.sleep(3)
263
+
264
+ if __name__ == "__main__":
265
+ test_prompt = """subject_definitions:
266
+ <Subject 1> Aneta, authentic natural appearance
267
+
268
+ integrated_multimodal_description:
269
+ [Shot 1] Cinematic 35mm photograph, warm golden sunlight. Wide horizontal 16:9 framing showing <Subject 1> Aneta smiling warmly at the camera. Speaking English in Aneta's natural voice, <Subject 1> Aneta says: <d>Welcome to the new accelerated generation pipeline!</d>
270
+
271
+ overall_soundscape:
272
+ Gentle acoustic room ambience and clear vocal presence."""
273
+
274
+ generate_minimax_video(
275
+ workflow_path="workflow_api_minimaxh3_fbc_refmod_turbo_8step.json",
276
+ refmod_name="minimaxh3_aneta_v1_refmod",
277
+ prompt_text=test_prompt,
278
+ width=1344,
279
+ height=768
280
+ )
281
+ ```
282
+
283
+ ---
284
+
285
+ ## 6. Standard Multimodal Prompt Architecture
286
+
287
+ MiniMax-H3 utilizes a structured prompt format parsed by Qwen3-VL:
288
+
289
+ ```text
290
+ subject_definitions:
291
+ <Subject 1> CharacterName, key visual attributes, authentic natural appearance
292
+
293
+ integrated_multimodal_description:
294
+ [Shot 1] Live-action, 35mm cinematic photograph, fine film grain, natural lighting. Continuous unbroken take, no cut. Opens as a medium shot framing <Subject 1> CharacterName. The camera moves in a smooth, continuous push-in gliding directly into a sharp close-up on her face and natural expressive smile. Never freeze. Never hold static. Speaking English in CharacterName's natural voice, and only the quoted words are spoken, <Subject 1> CharacterName (S1) says: <d>Your exact synchronized dialogue text here.</d>
295
+
296
+ overall_soundscape:
297
+ Ambient acoustics, room tone, realistic environment foley, and clear vocal presence.
298
+
299
+ non_diegetic_music:
300
+ N/A (or describe background score style)
301
+ ```
302
+
303
+ ---
304
+
305
+ ## 7. License & Credits
306
+
307
+ - **MiniMax-H3 RefMods & Workflows:** Created by **malcolmrey** ([huggingface.co/malcolmrey](https://huggingface.co/malcolmrey)).
308
+ - **Custom Nodes:** `ComfyUI-MiniMaxH3Mod` (Luisacaotica), `ComfyUI-MiniMaxH3-FirstBlockCache` (chengzeyi), `comfyui-kjnodes` (kijai).
309
+ - **LoRA Distillation:** `LightX2V / MiniMax-h3-Turbo`.
README.md CHANGED
@@ -1,3 +1,35 @@
1
- ---
2
- license: creativeml-openrail-m
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ ---
4
+
5
+ # ComfyUI Workflows Catalog
6
+
7
+ _Author: [malcolmrey](https://huggingface.co/malcolmrey)_
8
+
9
+ A curated collection of production-ready ComfyUI workflows (both programmatic API `.json` and visual UI graphs) for cutting-edge Diffusion Transformer models.
10
+
11
+ ---
12
+
13
+ ## MiniMax-H3 Workflows
14
+
15
+ Full technical documentation and API client examples: **[`MINIMAX_H3_API_WORKFLOWS_GUIDE.md`](./MINIMAX_H3_API_WORKFLOWS_GUIDE.md)**
16
+
17
+ ### Available Workflows in `H3/`:
18
+
19
+ #### 1. Accelerated Standalone Generation:
20
+ 1. **`workflow_api_minimaxh3_fbc_refmod_turbo_8step.json`** — **Primary Standard** (8-Step Euler, FBC Fast 0.10, LightX Turbo LoRA, RefMod persona conditioning). ~41s render per 5s video.
21
+ 2. **`workflow_api_minimaxh3_fbc_refmod_turbo_4step.json`** — **High-Speed Prototyping** (4-Step Euler, FBC Fast 0.10, LightX Turbo LoRA, RefMod persona conditioning). ~21s render per 5s video.
22
+ 3. **`workflow_api_minimaxh3_fbc_refmod_standard.json`** — **Archival Base Quality** (20-Step RES Multistep, FBC Safe 0.08, RefMod persona conditioning). ~110s render.
23
+
24
+ #### 2. Accelerated C2V (Clip-to-Video) Continuous Chaining:
25
+ 4. **`workflow_api_minimaxh3_fbc_refmod_c2v_turbo_8step.json`** — **Primary Movie Production C2V** (8-Step Euler, FBC Fast 0.10, LightX Turbo LoRA, RefMods, 22-frame motion context carryover). ~41s per scene.
26
+ 5. **`workflow_api_minimaxh3_fbc_refmod_c2v_turbo_4step.json`** — **Rapid C2V Storyboarding** (4-Step Euler, FBC Fast 0.10, LightX Turbo LoRA, RefMods, 22-frame motion context carryover). ~21s per scene.
27
+ 6. **`workflow_api_minimaxh3_fbc_refmod_c2v_standard.json`** — **Archival C2V Master Quality** (20-Step RES Multistep, FBC Safe 0.08, RefMods, 22-frame motion context carryover).
28
+
29
+ #### 3. Core & Legacy Workflows:
30
+ 7. **`workflow_api_minimaxh3_t2v.json`** — Multimodal Text-to-Video with synchronized spoken dialogue and ambient acoustic generation.
31
+ 8. **`workflow_api_minimaxh3_i2v.json`** — Image-to-Video animation.
32
+ 9. **`workflow_api_minimaxh3_r2v.json`** — Multi-modal Reference-to-Video (combines reference images, audio, and video).
33
+ 10. **`workflow_api_minimaxh3_c2v.json`** — Clip-to-Video legacy continuation.
34
+ 11. **`workflow_api_minimaxh3_ref_c2v.json`** — Reference conditioning + Clip-to-Video legacy continuity.
35
+ 12. **`workflow_minimaxh3_refmod.json`** — Interactive ComfyUI Web UI visual graph for RefMod persona testing.