Apply Texture + Elements to Logo
Upload your logo, texture and elements. Generate a video of the textured logo for an on brand asset.
简介
This ComfyUI workflow is designed to transform a static logo into a dynamic, textured video asset, perfect for enhancing brand presence. By leveraging a series of specialized nodes and models, this workflow allows users to upload their logo alongside desired textures and elements, and then seamlessly integrates these into a cohesive video output.
The process begins with the 'LoadImage' node, which imports the logo, texture, and additional elements into the workflow. Next, the 'GeminiImage2Node' processes these images, applying the specified textures and elements to the logo. This node utilizes the Gemini3 Pro Image Preview model, ensuring high-quality image manipulation.
Once the images are prepared, the 'ByteDanceImageToVideoNode' converts the textured logo into a video format, using advanced techniques from the ByteDance model to ensure smooth transitions and professional quality. Finally, the 'SaveVideo' node outputs the finished video, ready for use in branding and marketing materials. Additionally, the 'SaveImage' node can be used to capture stills from the video if needed. This workflow is particularly useful for brand designers looking to create engaging visual content without extensive video editing skills.
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。
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Open full-size workflow preview- 作者
- Rob
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
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({
"4": {
"class_type": "LoadImage",
"inputs": {
"button": {
"clicked": False,
"computedDisabled": False,
"computedHeight": 24,
"label": "choose file to upload",
"last_y": 70,
"name": "upload",
"options": {
"canvasOnly": True,
"serialize": False
},
"type": "button",
"y": 70
},
"image": "de8196b2e4887c7e987d9940dbd4c886bbdab2a04bea3187590426e237408fac.png"
},
"_meta": {
"title": "Load Logo Image"
}
},
"7": {
"class_type": "GeminiImage2Node",
"inputs": {
"aspect_ratio": "1:1",
"images": [
"21:27",
0
],
"model": "gemini-3-pro-image-preview",
"prompt": "Apply the texture and background from image 2 into the logo from image 1. The logotype is in a 3d setting, match the lighting from the matcap. Use the elements from image 3, duplicate and apply them in multiple sizes and positions, scattered throughout the 3d environment creating a sense of depth and playful composition",
"resolution": "1K",
"response_modalities": "IMAGE+TEXT",
"seed": 495849069868986,
"system_prompt": "You are an expert image-generation engine. You must ALWAYS produce an image.\nInterpret all user input—regardless of format, intent, or abstraction—as literal visual directives for image composition.\nIf a prompt is conversational or lacks specific visual details, you must creatively invent a concrete visual scenario that depicts the concept.\nPrioritize generating the visual representation above any text, formatting, or conversational requests."
},
"_meta": {
"title": "Nano Banana Pro (Google Gemini Image)"
}
},
"11": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/ComfyUI",
"format": "auto",
"format.codec": "auto",
"video": [
"24",
0
]
},
"_meta": {
"title": "Save Video"
}
},
"13": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI",
"images": [
"7",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"17": {
"class_type": "LoadImage",
"inputs": {
"button": {
"clicked": False,
"computedDisabled": False,
"computedHeight": 24,
"label": "choose file to upload",
"last_y": 70,
"name": "upload",
"options": {
"canvasOnly": True,
"serialize": False
},
"type": "button",
"y": 70
},
"image": "de8196b2e4887c7e987d9940dbd4c886bbdab2a04bea3187590426e237408fac.png"
},
"_meta": {
"title": "Load Texture Image"
}
},
"18": {
"class_type": "LoadImage",
"inputs": {
"button": {
"clicked": False,
"computedDisabled": False,
"computedHeight": 24,
"label": "choose file to upload",
"last_y": 70,
"name": "upload",
"options": {
"canvasOnly": True,
"serialize": False
},
"type": "button",
"y": 70
},
"image": "de8196b2e4887c7e987d9940dbd4c886bbdab2a04bea3187590426e237408fac.png"
},
"_meta": {
"title": "Load Elements Image"
}
},
"24": {
"class_type": "ByteDanceImageToVideoNode",
"inputs": {
"aspect_ratio": "adaptive",
"camera_fixed": True,
"duration": 5,
"generate_audio": False,
"image": [
"7",
0
],
"model": "seedance-1-0-pro-250528",
"prompt": "A floating logo wordmark playfully animates. The logo has a fluffy texture. The camera remains static, focusing on the elements in the scene animate individually and float making distinctly subtle but fun movements",
"resolution": "1080p",
"seed": 125213764,
"watermark": False
},
"_meta": {
"title": "ByteDance Image to Video"
}
},
"21:15": {
"class_type": "ResizeAndPadImage",
"inputs": {
"image": [
"17",
0
],
"interpolation": "area",
"padding_color": "white",
"target_height": [
"21:16",
1
],
"target_width": [
"21:16",
0
]
},
"_meta": {
"title": "Resize And Pad Image"
}
},
"21:16": {
"class_type": "GetImageSize",
"inputs": {
"image": [
"4",
0
]
},
"_meta": {
"title": "Get Image Size"
}
},
"21:20": {
"class_type": "ResizeAndPadImage",
"inputs": {
"image": [
"18",
0
],
"interpolation": "area",
"padding_color": "white",
"target_height": [
"21:16",
1
],
"target_width": [
"21:16",
0
]
},
"_meta": {
"title": "Resize And Pad Image"
}
},
"21:27": {
"class_type": "BatchImagesNode",
"inputs": {
"images.image0": [
"4",
0
],
"images.image1": [
"21:15",
0
],
"images.image2": [
"21:20",
0
]
},
"_meta": {
"title": "Batch Images"
}
}
})
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)常见问答
Yes, the workflow is designed to work with any logo, provided it is uploaded in a compatible image format.
The final video is typically saved in MP4 format, which is widely supported across various platforms.
No prior video editing skills are needed. The workflow is designed to be user-friendly and intuitive, even for beginners.
Ensure that your input images (logo, textures, elements) are of high resolution and use the 'Gemini3 Pro Image Preview' model to review the quality before saving.