Seedance 2.0 Multiframe Stitch
This workflow uses a lot of credits! This workflow allows you to create a stitched multiframe video using seedance 2.0. Great of iterating and inbetweening quickly.
简介
Seedance 2.0 Multiframe Stitch is a ComfyUI workflow for generating smooth in-between frames between two key images, then assembling them into a video. At its core is the ByteDance2FirstLastFrameNode, which uses the Seedance 2.0 model to synthesize a sequence that transitions from your first frame to your last. This makes it ideal for rapid iteration, motion studies, and quick inbetweening without writing code or handling external tools. Note: running Seedance 2.0 can be credit-intensive, so plan your frame count and resolution accordingly.
Technically, the workflow starts by loading your start and end images with LoadImage. Those images are passed into ByteDance2FirstLastFrameNode to generate a multiframe batch of interpolations. ImageBatch ensures the frames are properly grouped for video creation. GetVideoComponents can be used to set or match video properties (such as frame rate) if you are aligning to a reference. Finally, CreateVideo assembles the frame batch into a video stream, and SaveVideo writes the result to disk. The result is a stitched, coherent transition clip built entirely from two stills.
What makes this useful is the combination of controllability and speed: you pick the anchor frames, the node interpolates the motion, and the rest of the graph reliably compiles and saves the output. Keep both input images the same resolution and aspect ratio for best results, and manage cost by reducing frame count, resolution, or iterations if exposed in your node configuration.
你需要提供
- 正在读取工作流
在 ComfyUI 中运行。 此工作流无法在本页面运行。你可以在 Comfy Cloud 中打开（已预先加载所需内容），或下载后在自己的 ComfyUI 中使用。
在 Cloud 中试用查看工作流内部
节点图的只读预览。在 Comfy Cloud 中打开或下载后即可编辑节点。
Loading the graph
Open full-size workflow preview- 作者
- ComfyUI
需要自定义节点
- 正在读取工作流
通过代码使用此工作流
尽可能根据工作流图和输入自动生成代码，否则显示已保存的示例。运行代码可能产生费用，请先核对凭据和端点。
What you need
- Runs on
- Comfy Cloud
- 密钥
- COMFY_API_KEY
- 你的文件
- 由代码根据链接上传
需要付费的 Cloud 方案和额度。
# 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({
"1": {
"class_type": "ByteDance2FirstLastFrameNode",
"inputs": {
"first_frame": [
"3",
0
],
"first_frame_asset_id": "",
"last_frame": [
"4",
0
],
"last_frame_asset_id": "",
"model": "Seedance 2.0",
"model.duration": 4,
"model.generate_audio": False,
"model.prompt": "extreme shot shifts as two character run and jump and make action poses, anime style, squash and stretch animation, calarts style, cartoon network style",
"model.ratio": "16:9",
"model.resolution": "1080p",
"seed": 223429887,
"watermark": False
},
"_meta": {
"title": "ByteDance Seedance 2.5 First-Last-Frame to Video"
}
},
"2": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/Seedance2.0_flf2v",
"format": "auto",
"format.codec": "auto",
"video": [
"1",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"3": {
"class_type": "LoadImage",
"inputs": {
"image": "UPLOADED_image_FILENAME"
},
"_meta": {
"title": "Load Image"
}
},
"4": {
"class_type": "LoadImage",
"inputs": {
"image": "UPLOADED_image_2_FILENAME"
},
"_meta": {
"title": "Load Image"
}
},
"5": {
"class_type": "ByteDance2FirstLastFrameNode",
"inputs": {
"first_frame": [
"4",
0
],
"first_frame_asset_id": "",
"last_frame": [
"7",
0
],
"last_frame_asset_id": "",
"model": "Seedance 2.0",
"model.duration": 4,
"model.generate_audio": False,
"model.prompt": "extreme shot shifts as two character run and jump and make action poses, anime style, squash and stretch animation, calarts style, cartoon network style",
"model.ratio": "16:9",
"model.resolution": "1080p",
"seed": 1662723398,
"watermark": False
},
"_meta": {
"title": "ByteDance Seedance 2.5 First-Last-Frame to Video"
}
},
"6": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/Seedance2.0_flf2v",
"format": "auto",
"format.codec": "auto",
"video": [
"5",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"7": {
"class_type": "LoadImage",
"inputs": {
"image": "UPLOADED_image_3_FILENAME"
},
"_meta": {
"title": "Load Image"
}
},
"8": {
"class_type": "ByteDance2FirstLastFrameNode",
"inputs": {
"first_frame": [
"7",
0
],
"first_frame_asset_id": "",
"last_frame": [
"10",
0
],
"last_frame_asset_id": "",
"model": "Seedance 2.0",
"model.duration": 4,
"model.generate_audio": False,
"model.prompt": "extreme shot shifts as two character run and jump and make action poses, anime style, squash and stretch animation, calarts style, cartoon network style",
"model.ratio": "16:9",
"model.resolution": "1080p",
"seed": 1366057492,
"watermark": False
},
"_meta": {
"title": "ByteDance Seedance 2.5 First-Last-Frame to Video"
}
},
"9": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/Seedance2.0_flf2v",
"format": "auto",
"format.codec": "auto",
"video": [
"8",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"10": {
"class_type": "LoadImage",
"inputs": {
"image": "UPLOADED_image_4_FILENAME"
},
"_meta": {
"title": "Load Image"
}
},
"11": {
"class_type": "ByteDance2FirstLastFrameNode",
"inputs": {
"first_frame": [
"10",
0
],
"first_frame_asset_id": "",
"last_frame": [
"15",
0
],
"last_frame_asset_id": "",
"model": "Seedance 2.0",
"model.duration": 4,
"model.generate_audio": False,
"model.prompt": "extreme shot shifts as two character run and jump and make action poses, anime style, squash and stretch animation, calarts style, cartoon network style",
"model.ratio": "16:9",
"model.resolution": "1080p",
"seed": 651642512,
"watermark": False
},
"_meta": {
"title": "ByteDance Seedance 2.5 First-Last-Frame to Video"
}
},
"12": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/Seedance2.0_flf2v",
"format": "auto",
"format.codec": "auto",
"video": [
"11",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"13": {
"class_type": "ByteDance2FirstLastFrameNode",
"inputs": {
"first_frame": [
"15",
0
],
"first_frame_asset_id": "",
"last_frame": [
"16",
0
],
"last_frame_asset_id": "",
"model": "Seedance 2.0",
"model.duration": 4,
"model.generate_audio": False,
"model.prompt": "extreme shot shifts as two character run and jump and make action poses, anime style, squash and stretch animation, calarts style, cartoon network style",
"model.ratio": "16:9",
"model.resolution": "1080p",
"seed": 167021654,
"watermark": False
},
"_meta": {
"title": "ByteDance Seedance 2.5 First-Last-Frame to Video"
}
},
"14": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/Seedance2.0_flf2v",
"format": "auto",
"format.codec": "auto",
"video": [
"13",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"15": {
"class_type": "LoadImage",
"inputs": {
"image": "UPLOADED_image_5_FILENAME"
},
"_meta": {
"title": "Load Image"
}
},
"16": {
"class_type": "LoadImage",
"inputs": {
"image": "UPLOADED_image_6_FILENAME"
},
"_meta": {
"title": "Load Image"
}
},
"17": {
"class_type": "ImageBatch",
"inputs": {
"image1": [
"27",
0
],
"image2": [
"26",
0
]
},
"_meta": {
"title": "Batch Images (DEPRECATED)"
}
},
"18": {
"class_type": "ImageBatch",
"inputs": {
"image1": [
"17",
0
],
"image2": [
"25",
0
]
},
"_meta": {
"title": "Batch Images (DEPRECATED)"
}
},
"19": {
"class_type": "ImageBatch",
"inputs": {
"image1": [
"18",
0
],
"image2": [
"24",
0
]
},
"_meta": {
"title": "Batch Images (DEPRECATED)"
}
},
"20": {
"class_type": "ImageBatch",
"inputs": {
"image1": [
"19",
0
],
"image2": [
"23",
0
]
},
"_meta": {
"title": "Batch Images (DEPRECATED)"
}
},
"21": {
"class_type": "CreateVideo",
"inputs": {
"bit_depth": "auto",
"codec": "none",
"color_space": "sRGB",
"fps": 24,
"images": [
"20",
0
]
},
"_meta": {
"title": "Create Video"
}
},
"22": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/ComfyUI",
"format": "auto",
"format.codec": "auto",
"video": [
"21",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"23": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"13",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"24": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"11",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"25": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"8",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"26": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"5",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"27": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"1",
0
]
},
"_meta": {
"title": "Get Video Components"
}
}
})
# Replace each example.com URL with a public URL of your file.
workflow.set_input("3", "image", client.assets.from_url("https://example.com/replace-with-a-url/image"))
workflow.set_input("4", "image", client.assets.from_url("https://example.com/replace-with-a-url/image_2"))
workflow.set_input("7", "image", client.assets.from_url("https://example.com/replace-with-a-url/image_3"))
workflow.set_input("10", "image", client.assets.from_url("https://example.com/replace-with-a-url/image_4"))
workflow.set_input("15", "image", client.assets.from_url("https://example.com/replace-with-a-url/image_5"))
workflow.set_input("16", "image", client.assets.from_url("https://example.com/replace-with-a-url/image_6"))
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)常见问答
It uses the Seedance 2.0 model to generate the in-between frames from your first and last images. The output is a multi-frame batch that smoothly transitions between the two inputs.
Seedance 2.0 inference can be resource-intensive. Credit use scales with frame count, resolution, and any quality settings. To reduce cost, lower the number of in-between frames, reduce output resolution, or dial back quality/iterations if those controls are available.
Two factors matter: the number of generated frames and the FPS used in CreateVideo. More frames or higher FPS result in longer/smoother clips. Use GetVideoComponents to match a reference FPS, or set the FPS manually in CreateVideo.
Use start and end images with consistent framing, lighting, and subject scale. Keep both images the same resolution/aspect ratio. If the node exposes a seed or strength/smoothness parameter, try locking the seed for repeatability and adjusting strength toward more conservative motion.