Apply Texture + Elements to Logo
Upload your logo, texture and elements. Generate a video of the textured logo for an on brand asset.
概要
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.
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。
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。
# 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)よくある質問
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.