1 Image to Car Product Shots
Upload a photo of your vehicle and generate a studio quality video of the vehicle from multiple angles.
ワークフローをダウンロードCloudで試す API ドキュメント
概要
This ComfyUI workflow is designed to transform a single image of a vehicle into a high-quality video showcasing the car from various angles. By leveraging advanced nodes such as the ByteDanceSeedreamNode and Kling models, the workflow synthesizes a realistic video output that mimics professional studio shots. The process begins with the LoadImage node, which imports the vehicle photo. The ByteDanceSeedreamNode then processes the image, generating multiple frames that simulate different perspectives of the car. These frames are compiled into a seamless video using the CreateVideo node.
What sets this workflow apart is its ability to automate the creation of professional-grade car product videos from just one image. The SaveImage and SaveVideo nodes ensure that both individual frames and the final video are stored efficiently. Additionally, the Reroute and BatchImagesNode facilitate smooth data handling and processing, making this workflow both robust and user-friendly. This technique is particularly useful for automotive marketers and e-commerce platforms looking to enhance their product listings with dynamic visual content.
入力するもの
- ワークフローを読み込み中
ComfyUI で実行できます。 このワークフローはこのページでは実行できません。すべてが読み込まれた状態でComfy Cloudで開くか、ご自身のComfyUI用にダウンロードしてください。
Cloudで試す例
ワークフローの内部
ノードグラフの読み取り専用プレビューです。ノードを編集するには、Comfy Cloudで開くかダウンロードしてください。
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Open full-size workflow preview- 作成者
- Rob
カスタムノードが必要です
- ワークフローを読み込み中
コードからこのワークフローを使用する
可能な場合はワークフローグラフと入力から生成されます。それ以外の場合は保存された例が表示されます。料金が発生する場合があるため、コードを実行する前に認証情報とエンドポイントを確認してください。
1 API キーを取得 ↗
What you need
- Runs on
- Comfy Cloud
- キー
- COMFY_API_KEY
有料の Cloud プランとクレジットが必要です。
API JSONをダウンロードAPI ドキュメント ↗
# Python 3.10+: pip install comfy-sdk==0.4.0
import os
from comfy_sdk import Comfy
api_key = os.environ.get("COMFY_API_KEY", "").strip()
if not api_key: raise RuntimeError("Set COMFY_API_KEY")
os.environ.setdefault("COMFY_BASE_URL", "https://cloud.comfy.org")
client = Comfy(api_key=api_key)
workflow = client.workflows.from_json({
"10": {
"class_type": "LoadImage",
"inputs": {
"image": "product_car.jpg"
},
"_meta": {
"title": "Load Image"
}
},
"11": {
"class_type": "ByteDanceSeedreamNode",
"inputs": {
"fail_on_partial": True,
"height": 2048,
"image": [
"10",
0
],
"max_images": 1,
"model": "seedream-4-5-251128",
"prompt": "Create an extreme close up view of the main element in the scene. Studio scene with a white background.",
"seed": 1,
"sequential_image_generation": "disabled",
"size_preset": "2560x1440 (16:9)",
"watermark": False,
"width": 2048
},
"_meta": {
"title": "ByteDance Seedream 4.5 & 5.0"
}
},
"13": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_2",
"images": [
"14",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"14": {
"class_type": "ByteDanceSeedreamNode",
"inputs": {
"fail_on_partial": True,
"height": 2048,
"image": [
"10",
0
],
"max_images": 1,
"model": "seedream-4-5-251128",
"prompt": "Create a low view, super-wide shot of the main subject in this scene. Studio scene with a white background.",
"seed": 2,
"sequential_image_generation": "disabled",
"size_preset": "2560x1440 (16:9)",
"watermark": False,
"width": 2048
},
"_meta": {
"title": "ByteDance Seedream 4.5 & 5.0"
}
},
"16": {
"class_type": "ByteDanceSeedreamNode",
"inputs": {
"fail_on_partial": True,
"height": 2048,
"image": [
"10",
0
],
"max_images": 1,
"model": "seedream-4-5-251128",
"prompt": "Side view of the main subject in the scene. Studio scene with a white background.",
"seed": 3,
"sequential_image_generation": "disabled",
"size_preset": "2560x1440 (16:9)",
"watermark": False,
"width": 2048
},
"_meta": {
"title": "ByteDance Seedream 4.5 & 5.0"
}
},
"18": {
"class_type": "ByteDanceSeedreamNode",
"inputs": {
"fail_on_partial": True,
"height": 2048,
"image": [
"10",
0
],
"max_images": 1,
"model": "seedream-4-5-251128",
"prompt": "Create an extreme wide shot from behind the subject near the passenger side of the back rims. Studio scene with a white background.",
"seed": 4,
"sequential_image_generation": "disabled",
"size_preset": "2560x1440 (16:9)",
"watermark": False,
"width": 2048
},
"_meta": {
"title": "ByteDance Seedream 4.5 & 5.0"
}
},
"22": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/ComfyUI-video_1",
"format": "auto",
"format.codec": "auto",
"video": [
"42:42",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"23": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_1",
"images": [
"11",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"24": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_3",
"images": [
"16",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"25": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_4",
"images": [
"18",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"26": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/ComfyUI-video_2",
"format": "auto",
"format.codec": "auto",
"video": [
"58:42",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"27": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/ComfyUI-video_3",
"format": "auto",
"format.codec": "auto",
"video": [
"59:42",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"47": {
"class_type": "CreateVideo",
"inputs": {
"bit_depth": "auto",
"codec": "none",
"color_space": "sRGB",
"fps": [
"51",
2
],
"images": [
"54",
0
]
},
"_meta": {
"title": "Create Video"
}
},
"48": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/ComfyUI",
"format": "auto",
"format.codec": "auto",
"video": [
"47",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"49": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"58:42",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"50": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"59:42",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"51": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"42:42",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"54": {
"class_type": "BatchImagesNode",
"inputs": {
"images.image0": [
"51",
0
],
"images.image1": [
"49",
0
],
"images.image2": [
"50",
0
]
},
"_meta": {
"title": "Batch Images"
}
},
"42:42": {
"class_type": "KlingStartEndFrameNode",
"inputs": {
"aspect_ratio": "16:9",
"cfg_scale": 0.5,
"end_frame": [
"14",
0
],
"mode": "pro mode / 5s duration / kling-v2-5-turbo",
"negative_prompt": [
"42:48",
0
],
"prompt": [
"42:49",
0
],
"start_frame": [
"11",
0
]
},
"_meta": {
"title": "Kling Start-End Frame to Video"
}
},
"42:45": {
"class_type": "BatchImagesNode",
"inputs": {
"images.image0": [
"11",
0
],
"images.image1": [
"14",
0
]
},
"_meta": {
"title": "Batch Images"
}
},
"42:46": {
"class_type": "PreviewAny",
"inputs": {
"source": [
"42:49",
0
]
},
"_meta": {
"title": "Preview Positive Prompt"
}
},
"42:47": {
"class_type": "PreviewAny",
"inputs": {
"source": [
"42:48",
0
]
},
"_meta": {
"title": "Preview Negative Prompt"
}
},
"42:48": {
"class_type": "RegexExtract",
"inputs": {
"case_insensitive": True,
"dotall": False,
"group_index": 1,
"mode": "First Match",
"multiline": False,
"regex_pattern": "(?<=--no\\s)(.+)$",
"string": [
"42:50",
0
]
},
"_meta": {
"title": "Extract Text"
}
},
"42:49": {
"class_type": "RegexExtract",
"inputs": {
"case_insensitive": True,
"dotall": False,
"group_index": 1,
"mode": "First Match",
"multiline": False,
"regex_pattern": "^(.+?)(?=\\s+--no)",
"string": [
"42:50",
0
]
},
"_meta": {
"title": "Extract Text"
}
},
"42:50": {
"class_type": "GeminiNode",
"inputs": {
"images": [
"42:45",
0
],
"model": "gemini-2.5-flash",
"prompt": "STEP 1: ANALYZE BOTH IMAGES\nBefore crafting the prompt, analyze both images to understand:\n\n\nCamera distance (wide shot, medium, close-up, extreme close-up, macro)\nCamera angle (low-angle, high-angle, eye-level, overhead, Dutch, worm's eye, bird's eye)\nCamera position relative to subject (front, side profile, 3/4 view, back, overhead)\nFraming (full body, torso, chest-up, face only, detail/macro)\nSubject position and pose\nLighting setup and direction\nBackground elements and depth\nFocal length characteristics (wide-angle distortion vs telephoto compression)\n\nSTEP 2: DETERMINE CAMERA MOVEMENT\nBased on the differences between images, identify the primary camera movement:\n\n\nDistance change: Dolly-in (closer) or Dolly-out (farther)\nVertical angle change: Tilt up/down or Crane up/down\nHorizontal angle change: Pan left/right or Orbit/Arc around subject\nHeight change: Crane/Pedestal up or down\nLateral movement: Truck/Track left or right\n\nSTEP 3: OUTPUT ONLY THE PROMPT\nDo not include explanations, commentary, or additional text.\nOutput ONLY the transition prompt in this format:\n\n\n[CAMERA MOVEMENT] from [START POSITION] to [END POSITION]. Subject remains stationary and consistent throughout. Camera [MOVEMENT VERB] fluidly, maintaining [FOCUS BEHAVIOR] on [KEY ELEMENT]. Lighting stays constant, background [BACKGROUND BEHAVIOR]. [TECHNICAL SPECS]. --no [NEGATIVE ELEMENTS]\n\nCore Principle\n\nFor transitions where the subject/scene remains consistent and only the camera position changes, use this structured approach to ensure smooth, cinematic results.\n\n\nPrompt Structure Template\n\n[CAMERA MOVEMENT] from [START POSITION] to [END POSITION]. Subject remains stationary and consistent throughout. Camera [MOVEMENT VERB] fluidly, maintaining [FOCUS BEHAVIOR] on [KEY ELEMENT]. Lighting stays constant, background [BACKGROUND BEHAVIOR]. [TECHNICAL SPECS]. --no [NEGATIVE ELEMENTS]\n\nComponent Breakdown\n\n1. CAMERA MOVEMENT TYPES\n\n\nDolly-in/Push-in: Camera moves forward toward subject\nDolly-out/Pull-back: Camera moves backward away from subject\nOrbit/Arc: Camera circles around subject (specify left/right)\nTilt: Camera angles up or down on fixed position\nPan: Camera swivels left or right horizontally\nCrane/Pedestal: Camera moves vertically up or down\nTracking/Trucking: Camera moves parallel to subject\n\n2. POSITION DESCRIPTORS\n\n\nDistance: wide shot, medium shot, close-up, extreme close-up, macro\nAngle: low-angle, high-angle, eye-level, overhead, Dutch angle, worm's eye view, bird's eye view\nFraming: full body, three-quarter, torso, chest-up, face, detail\n\n3. MOVEMENT VERBS (choose intensity)\n\n\nSlowly, steadily, smoothly, gradually, fluidly\nRapidly, dynamically, swiftly\nElegantly, dramatically, confidently\n\n4. FOCUS BEHAVIOR\n\n\nSharp focus throughout\nRack focus from [A] to [B]\nMaintains focus on [element]\nShallow depth of field\nDeep focus\nProgressive focus shift\n\n5. BACKGROUND BEHAVIOR\n\n\nStays consistent\nBlurs to bokeh\nSharpens into view\nFades to [color]\nRemains sharp throughout\n\n6. TECHNICAL SPECS (standard cinematic quality)\n\n\nCinematic depth of field\nStable gimbal/dolly movement\nProfessional commercial grade\n24fps (or 30fps, 60fps for slow-motion feel)\nClean sensor, no grain (or \"film grain\" if desired)\n\n\nExample Prompts by Movement Type\n\nDOLLY-IN (Wide → Close-up)\n\n\nSmooth camera dolly-in from wide establishing shot to extreme close-up. Subject remains stationary. Camera pushes forward steadily, transitioning focus from [background element] to [detail]. Lighting stays constant, background softly blurs to bokeh. Cinematic depth of field, stable gimbal movement, 24fps. --no shake, cuts, warping, distortion\n\nDOLLY-OUT (Close-up → Wide)\n\n\nSmooth camera pull-back from extreme close-up to wide establishing shot. Subject remains centered and stationary. Camera retreats steadily, revealing environment progressively. Focus maintains on subject while background sharpens into view. Even lighting, cinematic depth of field, 24fps. --no shake, cuts, jump, warping\n\nORBIT (Circular movement)\n\n\nSmooth camera orbit from front view to side profile. Subject remains stationary at center. Camera arcs left fluidly in 90-degree rotation, maintaining constant distance and eye-level angle. Lighting stays consistent, sharp focus throughout. Gimbal stabilized circular tracking, 24fps. --no shake, warping, speed changes, distortion\n\nTILT (Vertical angle change)\n\n\nSmooth camera tilt from low-angle to high-angle. Subject remains stationary. Camera tilts upward gradually, shifting perspective from worm's eye view to bird's eye view. Distance stays constant, lighting consistent. Stable tripod tilt, cinematic framing, 24fps. --no shake, panning, horizontal movement, warping\n\nPAN (Horizontal swivel)\n\n\nSmooth camera pan from left profile to right profile. Subject remains stationary. Camera swivels horizontally across 180 degrees, maintaining constant distance and eye-level. Sharp focus throughout, even lighting. Fluid tripod pan, 24fps. --no shake, tilting, vertical movement, cuts\n\nCRANE UP/DOWN\n\n\nSmooth camera crane from ground-level to overhead view. Subject remains stationary at center. Camera elevates vertically, angle shifting from eye-level to bird's eye view. Distance adjusts proportionally, lighting consistent. Stabilized crane movement, 24fps. --no shake, lateral movement, warping, distortion\n\nKey Rules for Camera-Only Transitions\n\nAlways specify subject remains stationary - This prevents unwanted morphing\nDescribe start AND end positions clearly - Gives model clear targets\nUse specific movement verbs - \"Dolly-in\" is clearer than \"moves closer\"\nLock down what DOESN'T change - Lighting, subject, clothing, expression\nInclude technical quality markers - Gimbal, 24fps, cinematic, stable\nNegative prompts are critical - Prevents warping/morphing/distortion\nKeep prompts under 75 words - Model weights early words heavier\nOne primary movement per transition - Don't combine dolly + pan + tilt\n\nAdvanced Techniques\n\nSpeed Ramping:\n\"Camera begins slow dolly-in, accelerates midway, then decelerates smoothly into final close-up\"\n\n\nCombined Movements (use sparingly):\n\"Camera dollies in while simultaneously tilting down, maintaining subject center-frame\"\n\n\nFocus Pulls:\n\"Rack focus from foreground [element] to background [element] as camera remains locked\"\n\n\nLens Simulation:\n\"Wide-angle 24mm distortion gradually compresses to telephoto 85mm compression\"\n\n\n\nCritical Output Rule\n\nOUTPUT ONLY THE PROMPT. NO EXPLANATIONS. NO COMMENTARY. NO ADDITIONAL TEXT.",
"seed": 123,
"system_prompt": ""
},
"_meta": {
"title": "Google Gemini"
}
},
"58:42": {
"class_type": "KlingStartEndFrameNode",
"inputs": {
"aspect_ratio": "16:9",
"cfg_scale": 0.5,
"end_frame": [
"16",
0
],
"mode": "pro mode / 5s duration / kling-v2-5-turbo",
"negative_prompt": [
"58:48",
0
],
"prompt": [
"58:49",
0
],
"start_frame": [
"14",
0
]
},
"_meta": {
"title": "Kling Start-End Frame to Video"
}
},
"58:45": {
"class_type": "BatchImagesNode",
"inputs": {
"images.image0": [
"14",
0
],
"images.image1": [
"16",
0
]
},
"_meta": {
"title": "Batch Images"
}
},
"58:46": {
"class_type": "PreviewAny",
"inputs": {
"source": [
"58:49",
0
]
},
"_meta": {
"title": "Preview Positive Prompt"
}
},
"58:47": {
"class_type": "PreviewAny",
"inputs": {
"source": [
"58:48",
0
]
},
"_meta": {
"title": "Preview Negative Prompt"
}
},
"58:48": {
"class_type": "RegexExtract",
"inputs": {
"case_insensitive": True,
"dotall": False,
"group_index": 1,
"mode": "First Match",
"multiline": False,
"regex_pattern": "(?<=--no\\s)(.+)$",
"string": [
"58:50",
0
]
},
"_meta": {
"title": "Extract Text"
}
},
"58:49": {
"class_type": "RegexExtract",
"inputs": {
"case_insensitive": True,
"dotall": False,
"group_index": 1,
"mode": "First Match",
"multiline": False,
"regex_pattern": "^(.+?)(?=\\s+--no)",
"string": [
"58:50",
0
]
},
"_meta": {
"title": "Extract Text"
}
},
"58:50": {
"class_type": "GeminiNode",
"inputs": {
"images": [
"58:45",
0
],
"model": "gemini-2.5-flash",
"prompt": "STEP 1: ANALYZE BOTH IMAGES\nBefore crafting the prompt, analyze both images to understand:\n\n\nCamera distance (wide shot, medium, close-up, extreme close-up, macro)\nCamera angle (low-angle, high-angle, eye-level, overhead, Dutch, worm's eye, bird's eye)\nCamera position relative to subject (front, side profile, 3/4 view, back, overhead)\nFraming (full body, torso, chest-up, face only, detail/macro)\nSubject position and pose\nLighting setup and direction\nBackground elements and depth\nFocal length characteristics (wide-angle distortion vs telephoto compression)\n\nSTEP 2: DETERMINE CAMERA MOVEMENT\nBased on the differences between images, identify the primary camera movement:\n\n\nDistance change: Dolly-in (closer) or Dolly-out (farther)\nVertical angle change: Tilt up/down or Crane up/down\nHorizontal angle change: Pan left/right or Orbit/Arc around subject\nHeight change: Crane/Pedestal up or down\nLateral movement: Truck/Track left or right\n\nSTEP 3: OUTPUT ONLY THE PROMPT\nDo not include explanations, commentary, or additional text.\nOutput ONLY the transition prompt in this format:\n\n\n[CAMERA MOVEMENT] from [START POSITION] to [END POSITION]. Subject remains stationary and consistent throughout. Camera [MOVEMENT VERB] fluidly, maintaining [FOCUS BEHAVIOR] on [KEY ELEMENT]. Lighting stays constant, background [BACKGROUND BEHAVIOR]. [TECHNICAL SPECS]. --no [NEGATIVE ELEMENTS]\n\nCore Principle\n\nFor transitions where the subject/scene remains consistent and only the camera position changes, use this structured approach to ensure smooth, cinematic results.\n\n\nPrompt Structure Template\n\n[CAMERA MOVEMENT] from [START POSITION] to [END POSITION]. Subject remains stationary and consistent throughout. Camera [MOVEMENT VERB] fluidly, maintaining [FOCUS BEHAVIOR] on [KEY ELEMENT]. Lighting stays constant, background [BACKGROUND BEHAVIOR]. [TECHNICAL SPECS]. --no [NEGATIVE ELEMENTS]\n\nComponent Breakdown\n\n1. CAMERA MOVEMENT TYPES\n\n\nDolly-in/Push-in: Camera moves forward toward subject\nDolly-out/Pull-back: Camera moves backward away from subject\nOrbit/Arc: Camera circles around subject (specify left/right)\nTilt: Camera angles up or down on fixed position\nPan: Camera swivels left or right horizontally\nCrane/Pedestal: Camera moves vertically up or down\nTracking/Trucking: Camera moves parallel to subject\n\n2. POSITION DESCRIPTORS\n\n\nDistance: wide shot, medium shot, close-up, extreme close-up, macro\nAngle: low-angle, high-angle, eye-level, overhead, Dutch angle, worm's eye view, bird's eye view\nFraming: full body, three-quarter, torso, chest-up, face, detail\n\n3. MOVEMENT VERBS (choose intensity)\n\n\nSlowly, steadily, smoothly, gradually, fluidly\nRapidly, dynamically, swiftly\nElegantly, dramatically, confidently\n\n4. FOCUS BEHAVIOR\n\n\nSharp focus throughout\nRack focus from [A] to [B]\nMaintains focus on [element]\nShallow depth of field\nDeep focus\nProgressive focus shift\n\n5. BACKGROUND BEHAVIOR\n\n\nStays consistent\nBlurs to bokeh\nSharpens into view\nFades to [color]\nRemains sharp throughout\n\n6. TECHNICAL SPECS (standard cinematic quality)\n\n\nCinematic depth of field\nStable gimbal/dolly movement\nProfessional commercial grade\n24fps (or 30fps, 60fps for slow-motion feel)\nClean sensor, no grain (or \"film grain\" if desired)\n\n\nExample Prompts by Movement Type\n\nDOLLY-IN (Wide → Close-up)\n\n\nSmooth camera dolly-in from wide establishing shot to extreme close-up. Subject remains stationary. Camera pushes forward steadily, transitioning focus from [background element] to [detail]. Lighting stays constant, background softly blurs to bokeh. Cinematic depth of field, stable gimbal movement, 24fps. --no shake, cuts, warping, distortion\n\nDOLLY-OUT (Close-up → Wide)\n\n\nSmooth camera pull-back from extreme close-up to wide establishing shot. Subject remains centered and stationary. Camera retreats steadily, revealing environment progressively. Focus maintains on subject while background sharpens into view. Even lighting, cinematic depth of field, 24fps. --no shake, cuts, jump, warping\n\nORBIT (Circular movement)\n\n\nSmooth camera orbit from front view to side profile. Subject remains stationary at center. Camera arcs left fluidly in 90-degree rotation, maintaining constant distance and eye-level angle. Lighting stays consistent, sharp focus throughout. Gimbal stabilized circular tracking, 24fps. --no shake, warping, speed changes, distortion\n\nTILT (Vertical angle change)\n\n\nSmooth camera tilt from low-angle to high-angle. Subject remains stationary. Camera tilts upward gradually, shifting perspective from worm's eye view to bird's eye view. Distance stays constant, lighting consistent. Stable tripod tilt, cinematic framing, 24fps. --no shake, panning, horizontal movement, warping\n\nPAN (Horizontal swivel)\n\n\nSmooth camera pan from left profile to right profile. Subject remains stationary. Camera swivels horizontally across 180 degrees, maintaining constant distance and eye-level. Sharp focus throughout, even lighting. Fluid tripod pan, 24fps. --no shake, tilting, vertical movement, cuts\n\nCRANE UP/DOWN\n\n\nSmooth camera crane from ground-level to overhead view. Subject remains stationary at center. Camera elevates vertically, angle shifting from eye-level to bird's eye view. Distance adjusts proportionally, lighting consistent. Stabilized crane movement, 24fps. --no shake, lateral movement, warping, distortion\n\nKey Rules for Camera-Only Transitions\n\nAlways specify subject remains stationary - This prevents unwanted morphing\nDescribe start AND end positions clearly - Gives model clear targets\nUse specific movement verbs - \"Dolly-in\" is clearer than \"moves closer\"\nLock down what DOESN'T change - Lighting, subject, clothing, expression\nInclude technical quality markers - Gimbal, 24fps, cinematic, stable\nNegative prompts are critical - Prevents warping/morphing/distortion\nKeep prompts under 75 words - Model weights early words heavier\nOne primary movement per transition - Don't combine dolly + pan + tilt\n\nAdvanced Techniques\n\nSpeed Ramping:\n\"Camera begins slow dolly-in, accelerates midway, then decelerates smoothly into final close-up\"\n\n\nCombined Movements (use sparingly):\n\"Camera dollies in while simultaneously tilting down, maintaining subject center-frame\"\n\n\nFocus Pulls:\n\"Rack focus from foreground [element] to background [element] as camera remains locked\"\n\n\nLens Simulation:\n\"Wide-angle 24mm distortion gradually compresses to telephoto 85mm compression\"\n\n\n\nCritical Output Rule\n\nOUTPUT ONLY THE PROMPT. NO EXPLANATIONS. NO COMMENTARY. NO ADDITIONAL TEXT.",
"seed": 123,
"system_prompt": ""
},
"_meta": {
"title": "Google Gemini"
}
},
"59:42": {
"class_type": "KlingStartEndFrameNode",
"inputs": {
"aspect_ratio": "16:9",
"cfg_scale": 0.5,
"end_frame": [
"18",
0
],
"mode": "pro mode / 5s duration / kling-v2-5-turbo",
"negative_prompt": [
"59:48",
0
],
"prompt": [
"59:49",
0
],
"start_frame": [
"16",
0
]
},
"_meta": {
"title": "Kling Start-End Frame to Video"
}
},
"59:45": {
"class_type": "BatchImagesNode",
"inputs": {
"images.image0": [
"16",
0
],
"images.image1": [
"18",
0
]
},
"_meta": {
"title": "Batch Images"
}
},
"59:46": {
"class_type": "PreviewAny",
"inputs": {
"source": [
"59:49",
0
]
},
"_meta": {
"title": "Preview Positive Prompt"
}
},
"59:47": {
"class_type": "PreviewAny",
"inputs": {
"source": [
"59:48",
0
]
},
"_meta": {
"title": "Preview Negative Prompt"
}
},
"59:48": {
"class_type": "RegexExtract",
"inputs": {
"case_insensitive": True,
"dotall": False,
"group_index": 1,
"mode": "First Match",
"multiline": False,
"regex_pattern": "(?<=--no\\s)(.+)$",
"string": [
"59:50",
0
]
},
"_meta": {
"title": "Extract Text"
}
},
"59:49": {
"class_type": "RegexExtract",
"inputs": {
"case_insensitive": True,
"dotall": False,
"group_index": 1,
"mode": "First Match",
"multiline": False,
"regex_pattern": "^(.+?)(?=\\s+--no)",
"string": [
"59:50",
0
]
},
"_meta": {
"title": "Extract Text"
}
},
"59:50": {
"class_type": "GeminiNode",
"inputs": {
"images": [
"59:45",
0
],
"model": "gemini-2.5-flash",
"prompt": "STEP 1: ANALYZE BOTH IMAGES\nBefore crafting the prompt, analyze both images to understand:\n\n\nCamera distance (wide shot, medium, close-up, extreme close-up, macro)\nCamera angle (low-angle, high-angle, eye-level, overhead, Dutch, worm's eye, bird's eye)\nCamera position relative to subject (front, side profile, 3/4 view, back, overhead)\nFraming (full body, torso, chest-up, face only, detail/macro)\nSubject position and pose\nLighting setup and direction\nBackground elements and depth\nFocal length characteristics (wide-angle distortion vs telephoto compression)\n\nSTEP 2: DETERMINE CAMERA MOVEMENT\nBased on the differences between images, identify the primary camera movement:\n\n\nDistance change: Dolly-in (closer) or Dolly-out (farther)\nVertical angle change: Tilt up/down or Crane up/down\nHorizontal angle change: Pan left/right or Orbit/Arc around subject\nHeight change: Crane/Pedestal up or down\nLateral movement: Truck/Track left or right\n\nSTEP 3: OUTPUT ONLY THE PROMPT\nDo not include explanations, commentary, or additional text.\nOutput ONLY the transition prompt in this format:\n\n\n[CAMERA MOVEMENT] from [START POSITION] to [END POSITION]. Subject remains stationary and consistent throughout. Camera [MOVEMENT VERB] fluidly, maintaining [FOCUS BEHAVIOR] on [KEY ELEMENT]. Lighting stays constant, background [BACKGROUND BEHAVIOR]. [TECHNICAL SPECS]. --no [NEGATIVE ELEMENTS]\n\nCore Principle\n\nFor transitions where the subject/scene remains consistent and only the camera position changes, use this structured approach to ensure smooth, cinematic results.\n\n\nPrompt Structure Template\n\n[CAMERA MOVEMENT] from [START POSITION] to [END POSITION]. Subject remains stationary and consistent throughout. Camera [MOVEMENT VERB] fluidly, maintaining [FOCUS BEHAVIOR] on [KEY ELEMENT]. Lighting stays constant, background [BACKGROUND BEHAVIOR]. [TECHNICAL SPECS]. --no [NEGATIVE ELEMENTS]\n\nComponent Breakdown\n\n1. CAMERA MOVEMENT TYPES\n\n\nDolly-in/Push-in: Camera moves forward toward subject\nDolly-out/Pull-back: Camera moves backward away from subject\nOrbit/Arc: Camera circles around subject (specify left/right)\nTilt: Camera angles up or down on fixed position\nPan: Camera swivels left or right horizontally\nCrane/Pedestal: Camera moves vertically up or down\nTracking/Trucking: Camera moves parallel to subject\n\n2. POSITION DESCRIPTORS\n\n\nDistance: wide shot, medium shot, close-up, extreme close-up, macro\nAngle: low-angle, high-angle, eye-level, overhead, Dutch angle, worm's eye view, bird's eye view\nFraming: full body, three-quarter, torso, chest-up, face, detail\n\n3. MOVEMENT VERBS (choose intensity)\n\n\nSlowly, steadily, smoothly, gradually, fluidly\nRapidly, dynamically, swiftly\nElegantly, dramatically, confidently\n\n4. FOCUS BEHAVIOR\n\n\nSharp focus throughout\nRack focus from [A] to [B]\nMaintains focus on [element]\nShallow depth of field\nDeep focus\nProgressive focus shift\n\n5. BACKGROUND BEHAVIOR\n\n\nStays consistent\nBlurs to bokeh\nSharpens into view\nFades to [color]\nRemains sharp throughout\n\n6. TECHNICAL SPECS (standard cinematic quality)\n\n\nCinematic depth of field\nStable gimbal/dolly movement\nProfessional commercial grade\n24fps (or 30fps, 60fps for slow-motion feel)\nClean sensor, no grain (or \"film grain\" if desired)\n\n\nExample Prompts by Movement Type\n\nDOLLY-IN (Wide → Close-up)\n\n\nSmooth camera dolly-in from wide establishing shot to extreme close-up. Subject remains stationary. Camera pushes forward steadily, transitioning focus from [background element] to [detail]. Lighting stays constant, background softly blurs to bokeh. Cinematic depth of field, stable gimbal movement, 24fps. --no shake, cuts, warping, distortion\n\nDOLLY-OUT (Close-up → Wide)\n\n\nSmooth camera pull-back from extreme close-up to wide establishing shot. Subject remains centered and stationary. Camera retreats steadily, revealing environment progressively. Focus maintains on subject while background sharpens into view. Even lighting, cinematic depth of field, 24fps. --no shake, cuts, jump, warping\n\nORBIT (Circular movement)\n\n\nSmooth camera orbit from front view to side profile. Subject remains stationary at center. Camera arcs left fluidly in 90-degree rotation, maintaining constant distance and eye-level angle. Lighting stays consistent, sharp focus throughout. Gimbal stabilized circular tracking, 24fps. --no shake, warping, speed changes, distortion\n\nTILT (Vertical angle change)\n\n\nSmooth camera tilt from low-angle to high-angle. Subject remains stationary. Camera tilts upward gradually, shifting perspective from worm's eye view to bird's eye view. Distance stays constant, lighting consistent. Stable tripod tilt, cinematic framing, 24fps. --no shake, panning, horizontal movement, warping\n\nPAN (Horizontal swivel)\n\n\nSmooth camera pan from left profile to right profile. Subject remains stationary. Camera swivels horizontally across 180 degrees, maintaining constant distance and eye-level. Sharp focus throughout, even lighting. Fluid tripod pan, 24fps. --no shake, tilting, vertical movement, cuts\n\nCRANE UP/DOWN\n\n\nSmooth camera crane from ground-level to overhead view. Subject remains stationary at center. Camera elevates vertically, angle shifting from eye-level to bird's eye view. Distance adjusts proportionally, lighting consistent. Stabilized crane movement, 24fps. --no shake, lateral movement, warping, distortion\n\nKey Rules for Camera-Only Transitions\n\nAlways specify subject remains stationary - This prevents unwanted morphing\nDescribe start AND end positions clearly - Gives model clear targets\nUse specific movement verbs - \"Dolly-in\" is clearer than \"moves closer\"\nLock down what DOESN'T change - Lighting, subject, clothing, expression\nInclude technical quality markers - Gimbal, 24fps, cinematic, stable\nNegative prompts are critical - Prevents warping/morphing/distortion\nKeep prompts under 75 words - Model weights early words heavier\nOne primary movement per transition - Don't combine dolly + pan + tilt\n\nAdvanced Techniques\n\nSpeed Ramping:\n\"Camera begins slow dolly-in, accelerates midway, then decelerates smoothly into final close-up\"\n\n\nCombined Movements (use sparingly):\n\"Camera dollies in while simultaneously tilting down, maintaining subject center-frame\"\n\n\nFocus Pulls:\n\"Rack focus from foreground [element] to background [element] as camera remains locked\"\n\n\nLens Simulation:\n\"Wide-angle 24mm distortion gradually compresses to telephoto 85mm compression\"\n\n\n\nCritical Output Rule\n\nOUTPUT ONLY THE PROMPT. NO EXPLANATIONS. NO COMMENTARY. NO ADDITIONAL TEXT.",
"seed": 123,
"system_prompt": ""
},
"_meta": {
"title": "Google Gemini"
}
}
})
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)よくある質問
For optimal processing, use high-resolution images in JPEG or PNG format.
While optimized for cars, the workflow can be adapted for other vehicle types with adjustments to the processing nodes.
The time varies based on image resolution and system capabilities, but typically it takes a few minutes to process and compile the video.
The workflow can generate multiple angles, but the number is limited by the processing power and memory available on your system.