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工作流 / 视频 / MiniMax H3：图生视频
MiniMax H3：图生视频

MiniMax H3：图生视频

MiniMax H3: Image to Video

使用MiniMax H3将起始图像转换为简短的高质量视频片段，这是一种统一的多模态模型，可在单次传递中生成视觉和同步音频。该工作流接受1个输入图像并生成1个视频输出，可选文本或参考媒体来控制运动、风格或声音。非常适合快速概念可视化、角色驱动动画测试，以及创建带有内置声音设计的可分享社交媒体片段。

视频 9 个节点 1 个输入 19,812 次使用 ComfyUI ≥ 0.30.0 ComfyUI 70 KB

下载工作流 JSON 查看官方来源

下载后把文件拖进 ComfyUI 窗口即可打开。

需要的权重

这个工作流引用了 5 个权重文件，其中 5 个能在本站模型库里找到。

minimax_h3_audio_vae_fp32.safetensors 在模型库查看
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors 在模型库查看
minimax_h3_fl2va_pruned_int8_convrot.safetensors 在模型库查看
minimax_h3_video_vae_int8_convrot.safetensors 在模型库查看
qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors 在模型库查看

节点构成

MarkdownNote × 3
SaveVideo × 1
LoadImage × 1
ResolutionSelector × 1
4c314f31-ecda-4b08-ae98-faaba1bf613f × 1
ImageScaleToTotalPixels × 1
GetImageSize × 1

官方标注的模型

MiniMax H3

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

1{
2 "id": "e3f2b845-8f2c-4b5a-9caf-eac1029d3e7e",
3 "revision": 0,
4 "last_node_id": 126,
5 "last_link_id": 245,
6 "nodes": [
7 {
8 "id": 92,
9 "type": "SaveVideo",
10 "pos": [
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12 4850
13 ],
14 "size": [
15 1070,
16 357.875
17 ],
18 "flags": [],
19 "order": 8,
20 "mode": 0,
21 "inputs": [
22 {
23 "name": "video",
24 "type": "VIDEO",
25 "link": 194
26 }
27 ],
28 "outputs": [
29 {
30 "name": "video",
31 "type": "VIDEO",
32 "links": null
33 }
34 ],
35 "properties": {
36 "cnr_id": "comfy-core",
37 "ver": "0.33.0"
38 },
39 "widgets_values": [
40 "video/MiniMax_H3",
41 "auto",
42 "auto"
43 ],
44 "widgets_values_named": {
45 "filename_prefix": "video/MiniMax_H3",
46 "format": "auto",
47 "codec": "auto"
48 }
49 },
50 {
51 "id": 114,
52 "type": "LoadImage",
53 "pos": [
54 -1610,
55 4860
56 ],
57 "size": [
58 450,
59 630
60 ],
61 "flags": [],
62 "order": 0,
63 "mode": 0,
64 "inputs": [],
65 "outputs": [
66 {
67 "name": "IMAGE",
68 "type": "IMAGE",
69 "links": [
70 218
71 ]
72 },
73 {
74 "name": "MASK",
75 "type": "MASK",
76 "links": null
77 }
78 ],
79 "properties": {
80 "cnr_id": "comfy-core",
81 "ver": "0.33.0",
82 "Node name for S&R": "LoadImage"
83 },
84 "widgets_values": [
85 "transparent_rgb_gaming_mouse.png",
86 "image"
87 ],
88 "widgets_values_named": {
89 "image": "transparent_rgb_gaming_mouse.png",
90 "upload": "image"
91 }
92 },
93 {
94 "id": 115,
95 "type": "ResolutionSelector",
96 "pos": [
97 -1110,
98 5230
99 ],
100 "size": [
101 270,
102 170
103 ],
104 "flags": [],
105 "order": 1,
106 "mode": 0,
107 "showAdvanced": false,
108 "inputs": [],
109 "outputs": [
110 {
111 "name": "width",
112 "type": "INT",
113 "links": [
114 219
115 ]
116 },
117 {
118 "name": "height",
119 "type": "INT",
120 "links": [
121 220
122 ]
123 }
124 ],
125 "properties": {
126 "cnr_id": "comfy-core",
127 "ver": "0.33.0",
128 "Node name for S&R": "ResolutionSelector"
129 },
130 "widgets_values": [
131 "1:1 (Square)",
132 0.4,
133 32
134 ],
135 "widgets_values_named": {
136 "aspect_ratio": "1:1 (Square)",
137 "megapixels": 0.4,
138 "multiple": 32
139 }
140 },
141 {
142 "id": 105,
143 "type": "4c314f31-ecda-4b08-ae98-faaba1bf613f",
144 "pos": [
145 -730,
146 4850
147 ],
148 "size": [
149 480,
150 630
151 ],
152 "flags": [],
153 "order": 6,
154 "mode": 0,
155 "inputs": [
156 {
157 "name": "first_frame",
158 "shape": 7,
159 "type": "IMAGE",
160 "link": 218
161 },
162 {
163 "name": "last_frame",
164 "shape": 7,
165 "type": "IMAGE",
166 "link": null
167 },
168 {
169 "name": "width",
170 "type": "INT",
171 "widget": {
172 "name": "width"
173 },
174 "link": 219
175 },
176 {
177 "name": "height",
178 "type": "INT",
179 "widget": {
180 "name": "height"
181 },
182 "link": 220
183 },
184 {
185 "label": "duration",
186 "name": "value_1",
187 "type": "FLOAT",
188 "widget": {
189 "name": "value_1"
190 },
191 "link": null
192 },
193 {
194 "label": "audio_vae",
195 "name": "vae_name_1",
196 "type": "COMBO",
197 "widget": {
198 "name": "vae_name_1"
199 },
200 "link": null
201 },
202 {
203 "label": "turbo_mode",
204 "name": "value",
205 "type": "BOOLEAN",
206 "widget": {
207 "name": "value"
208 },
209 "link": null
210 },
211 {
212 "label": "turbo_model_strength",
213 "name": "strength_model_1",
214 "type": "FLOAT",
215 "widget": {
216 "name": "strength_model_1"
217 },
218 "link": null
219 },
220 {
221 "label": "turbo_steps",
222 "name": "value_2",
223 "type": "INT",
224 "widget": {
225 "name": "value_2"
226 },
227 "link": null
228 }
229 ],
230 "outputs": [
231 {
232 "name": "VIDEO",
233 "type": "VIDEO",
234 "links": [
235 194
236 ]
237 }
238 ],
239 "properties": {
240 "cnr_id": "comfy-core",
241 "ver": "0.33.0",
242 "previewExposures": []
243 },
244 "widgets_values": [
245 "Editorial tech product film. The transparent gaming mouse from <Picture 1> in its original scene: a pitch-black studio void with a dark, subtle reflective surface, lit by dramatic duotone vibrant blue and warm neon orange rim lighting, deep soft shadow falloff into pure black. Monochromatic dark palette with electric blue and amber accents. Material motif: glowing internal metallic micro-components and glossy acrylic refractions. The environment is constant throughout.\nSHOT 1: The scene opens exactly on image 1, the mouse resting confidently on the dark surface; the blue and orange lights slowly pulse brighter, refracting deeply through the transparent acrylic shell as the camera executes a slow, deliberate push-in to reveal the intricate circuitry.\nSHOT 2: Cut to an extreme macro profile of the ridged scroll wheel and layered internal micro-components; the camera glides slowly along the side as a sharp beam of warm orange light sweeps across the metallic textures, contrasting perfectly against the deep blue ambient glow.\nSHOT 3: Cut to a low-angle beauty shot: the mouse levitates weightlessly a few centimeters above the dark reflective surface, rotating in a slow, precise orbit; the duotone lighting flares gently along the glassy transparent edges before fading slowly into a sleek silhouette.\nAudio: deep pulsing sub-bass room tone, sharp tactile mechanical clicks, a sweeping glassy whoosh on cuts, and a rising electronic swell that resolves to near-silence on the final fade.\u2028",
246 1344,
247 768,
248 5,
249 757358688076805,
250 "minimax_h3_fl2va_pruned_int8_convrot.safetensors",
251 "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
252 "minimax_h3_video_vae_int8_convrot.safetensors",
253 "minimax_h3_audio_vae_fp32.safetensors",
254 false,
255 "minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
256 1,
257 8
258 ],
259 "widgets_values_named": {
260 "prompt": "Editorial tech product film. The transparent gaming mouse from <Picture 1> in its original scene: a pitch-black studio void with a dark, subtle reflective surface, lit by dramatic duotone vibrant blue and warm neon orange rim lighting, deep soft shadow falloff into pure black. Monochromatic dark palette with electric blue and amber accents. Material motif: glowing internal metallic micro-components and glossy acrylic refractions. The environment is constant throughout.\nSHOT 1: The scene opens exactly on image 1, the mouse resting confidently on the dark surface; the blue and orange lights slowly pulse brighter, refracting deeply through the transparent acrylic shell as the camera executes a slow, deliberate push-in to reveal the intricate circuitry.\nSHOT 2: Cut to an extreme macro profile of the ridged scroll wheel and layered internal micro-components; the camera glides slowly along the side as a sharp beam of warm orange light sweeps across the metallic textures, contrasting perfectly against the deep blue ambient glow.\nSHOT 3: Cut to a low-angle beauty shot: the mouse levitates weightlessly a few centimeters above the dark reflective surface, rotating in a slow, precise orbit; the duotone lighting flares gently along the glassy transparent edges before fading slowly into a sleek silhouette.\nAudio: deep pulsing sub-bass room tone, sharp tactile mechanical clicks, a sweeping glassy whoosh on cuts, and a rising electronic swell that resolves to near-silence on the final fade.\u2028",
261 "width": 1344,
262 "height": 768,
263 "value_1": 5,
264 "noise_seed": 757358688076805,
265 "unet_name": "minimax_h3_fl2va_pruned_int8_convrot.safetensors",
266 "clip_name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
267 "vae_name": "minimax_h3_video_vae_int8_convrot.safetensors",
268 "vae_name_1": "minimax_h3_audio_vae_fp32.safetensors",
269 "value": false,
270 "lora_name": "minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
271 "strength_model_1": 1,
272 "value_2": 8
273 }
274 },
275 {
276 "id": 116,
277 "type": "MarkdownNote",
278 "pos": [
279 -2090,
280 4860
281 ],
282 "size": [
283 450,
284 630
285 ],
286 "flags": [],
287 "order": 2,
288 "mode": 0,
289 "inputs": [],
290 "outputs": [],
291 "title": "Note: MiniMax H3",
292 "properties": [],
293 "widgets_values": [
294 "## 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"
295 ],
296 "widgets_values_named": {
297 "text": "## 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"
298 },
299 "color": "#222",
300 "bgcolor": "#000"
301 },
302 {
303 "id": 117,
304 "type": "MarkdownNote",
305 "pos": [
306 -2570,
307 4860
308 ],
309 "size": [
310 440,
311 887.75
312 ],
313 "flags": [],
314 "order": 3,
315 "mode": 0,
316 "inputs": [],
317 "outputs": [],
318 "title": "Note: Model Links",
319 "properties": [],
320 "widgets_values": [
321 "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/MiniMax-H3](https://modelscope.cn/models/Comfy-Org/MiniMax-H3)\n\n**Input Assets**\n- [transparent_rgb_gaming_mouse.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/transparent_rgb_gaming_mouse.png) — required workflow input (`input/transparent_rgb_gaming_mouse.png`)\n\n**vae**\n\n- [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) (2.62 GB)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) (577.2 MB)\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) (19.53 GB)\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) (14.61 GB)\n\n**loras**\n\n- 8 steps: [minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors](https://huggingface.co/lightx2v/Minimax-h3-Turbo/resolve/main/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors) (1.82 GB)\n- 4 steps: [minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors) (1.82 GB)\n\n**embeddings**\n\n- [10 style embeddings](https://huggingface.co/Comfy-Org/MiniMax-H3/tree/main/embeddings) (`minimaxh3_*.safetensors`), for example `minimaxh3_art_is_explosion`\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ ├── minimax_h3_video_vae_int8_convrot.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│ ├── 📂 loras/\n│ │ └── minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors\n│ └── 📂 embeddings/\n│ └── minimaxh3_art_is_explosion.safetensors\n```\n\n## Using Prompt Embeddings\n\nPrompt embeddings (supported since [ComfyUI#15697](https://github.com/Comfy-Org/ComfyUI/pull/15697)) add reusable style tokens to your prompt. Download one or more embeddings from the folder above into `ComfyUI/models/embeddings/`, then reference one in the prompt text with the `embedding:` prefix and the filename without its extension, for example:\n\n`embedding:minimaxh3_art_is_explosion`\n\nUsing an embedding is optional and the template runs fine without one.\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"
322 ],
323 "widgets_values_named": {
324 "text": "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/MiniMax-H3](https://modelscope.cn/models/Comfy-Org/MiniMax-H3)\n\n**Input Assets**\n- [transparent_rgb_gaming_mouse.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/transparent_rgb_gaming_mouse.png) — required workflow input (`input/transparent_rgb_gaming_mouse.png`)\n\n**vae**\n\n- [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) (2.62 GB)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) (577.2 MB)\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) (19.53 GB)\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) (14.61 GB)\n\n**loras**\n\n- 8 steps: [minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors](https://huggingface.co/lightx2v/Minimax-h3-Turbo/resolve/main/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors) (1.82 GB)\n- 4 steps: [minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors) (1.82 GB)\n\n**embeddings**\n\n- [10 style embeddings](https://huggingface.co/Comfy-Org/MiniMax-H3/tree/main/embeddings) (`minimaxh3_*.safetensors`), for example `minimaxh3_art_is_explosion`\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ ├── minimax_h3_video_vae_int8_convrot.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│ ├── 📂 loras/\n│ │ └── minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors\n│ └── 📂 embeddings/\n│ └── minimaxh3_art_is_explosion.safetensors\n```\n\n## Using Prompt Embeddings\n\nPrompt embeddings (supported since [ComfyUI#15697](https://github.com/Comfy-Org/ComfyUI/pull/15697)) add reusable style tokens to your prompt. Download one or more embeddings from the folder above into `ComfyUI/models/embeddings/`, then reference one in the prompt text with the `embedding:` prefix and the filename without its extension, for example:\n\n`embedding:minimaxh3_art_is_explosion`\n\nUsing an embedding is optional and the template runs fine without one.\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"
325 },
326 "color": "#222",
327 "bgcolor": "#000"
328 },
329 {
330 "id": 118,
331 "type": "MarkdownNote",
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336 "size": [
337 320,
338 380
339 ],
340 "flags": [],
341 "order": 4,
342 "mode": 0,
343 "inputs": [],
344 "outputs": [],
345 "title": "Note: Size Settings Reference",
346 "properties": [],
347 "widgets_values": [
348 "| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 (official 768p) |"
349 ],
350 "widgets_values_named": {
351 "text": "| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 (official 768p) |"
352 },
353 "color": "#222",
354 "bgcolor": "#000"
355 },
356 {
357 "id": 119,
358 "type": "ImageScaleToTotalPixels",
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