Selfie + Text Prompt to Studio Photoshoot Doodle
Upload a selfie and describe your outfit in the prompt. Generate 4 fashion editorial photographs with fun doodle illustrations. Select which image to upscale and add back face details.
Download WorkflowTry in Cloud API documentation
About
This ComfyUI workflow transforms a simple selfie into a high-fashion editorial photograph with creative doodle illustrations. By utilizing a combination of advanced AI models such as Google Gemini Image and Nano Banana Pro, the workflow allows users to input a selfie and a text prompt describing their desired outfit.
The process involves generating four distinct fashion photographs, each enhanced with playful doodles to add a unique artistic flair. The workflow is designed to be both user-friendly and technically robust, employing nodes like LoadImage for importing selfies, and RegexReplace for processing text prompts. The GeminiImage2Node is pivotal in synthesizing the initial images, while the ImageBatch and ImageFromBatch nodes facilitate the creation and selection of multiple outputs. Users can then upscale their chosen image and refine facial details, ensuring a polished final product.
What you provide
- Reading the workflow
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Inside the workflow
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Open full-size workflow preview- Author
- Rob
Requires custom nodes
- Reading the workflow
Use this workflow from code
Generated from the workflow graph and inputs when possible; stored examples are shown otherwise. Review credentials and endpoints before running code, which may incur charges.
1 Get API key ↗
What you need
- Runs on
- Comfy Cloud
- Key
- COMFY_API_KEY
- Your files
- Uploaded by the code from their urls
Needs a paid Cloud plan and credits.
Download API JSONAPI documentation ↗
# 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": "LoadImage",
"inputs": {
"image": "UPLOADED_image_FILENAME"
},
"_meta": {
"title": "Load Subject Image"
}
},
"4": {
"class_type": "PrimitiveStringMultiline",
"inputs": {
"value": "a high neckline ribbed white tank top and baggy fitting loose faded denim jeans, with black high heel shoes"
},
"_meta": {
"title": "Describe the Subject's Outfit"
}
},
"5": {
"class_type": "PrimitiveStringMultiline",
"inputs": {
"value": "A 2x2 (2 rows, 2 cols) grid of high fashion photoshoot images of the model wearing {outfit}, each grid image should show the a full body shot of the subject in slightly different poses.\n\nDO NOT generate the grid with any visible borders or gutters.\n\nThe setting is a studio environment with a white background. \n\nThe image is shot on fuji velvia film on a 55mm prime lens with a hard flash, the light is concentrated on the subject."
},
"_meta": {
"title": "Prompt Template"
}
},
"6": {
"class_type": "RegexReplace",
"inputs": {
"case_insensitive": True,
"count": 0,
"dotall": False,
"multiline": False,
"regex_pattern": "{outfit}",
"replace": [
"4",
0
],
"string": [
"5",
0
]
},
"_meta": {
"title": "Replace Text (Regex)"
}
},
"8": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_stitched",
"images": [
"9",
0
]
},
"_meta": {
"title": "Save Stitched Image"
}
},
"9": {
"class_type": "GeminiImage2Node",
"inputs": {
"aspect_ratio": "auto",
"images": [
"1",
0
],
"model": "gemini-3-pro-image-preview",
"prompt": [
"6",
0
],
"resolution": "2K",
"response_modalities": "IMAGE+TEXT",
"seed": 111,
"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)"
}
},
"10": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 0
},
"_meta": {
"title": "Crop Inset Grid Images"
}
},
"12": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_1",
"images": [
"11:8",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"13": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_2",
"images": [
"11:9",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"14": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_3",
"images": [
"11:10",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"15": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_4",
"images": [
"11:11",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"16": {
"class_type": "GeminiImage2Node",
"inputs": {
"aspect_ratio": "auto",
"images": [
"9",
0
],
"model": "gemini-3-pro-image-preview",
"prompt": "Apply playful hand-drawn doodles and bold brush strokes in a colorful assortment of colors. The doodles are messy yet graphic and stylish, editorial magazine vibe. Do not distort the subject.",
"resolution": "2K",
"response_modalities": "IMAGE+TEXT",
"seed": 222,
"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)"
}
},
"17": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_stitched_doodles",
"images": [
"16",
0
]
},
"_meta": {
"title": "Save Stitched Doodled Image"
}
},
"20": {
"class_type": "ImageBatch",
"inputs": {
"image1": [
"23",
0
],
"image2": [
"1",
0
]
},
"_meta": {
"title": "Batch Images (DEPRECATED)"
}
},
"23": {
"class_type": "ImageFromBatch",
"inputs": {
"batch_index": 3,
"image": [
"11:20",
0
],
"length": 1
},
"_meta": {
"title": "Select Image to Upscale"
}
},
"25": {
"class_type": "GeminiImage2Node",
"inputs": {
"aspect_ratio": "auto",
"images": [
"20",
0
],
"model": "gemini-3-pro-image-preview",
"prompt": "Upscale image 1 and add subtle details. Use the face from image 2 to add back facial consistency. Maintain the colors of the doodle illustrations.",
"resolution": "4K",
"response_modalities": "IMAGE+TEXT",
"seed": 12345,
"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)"
}
},
"26": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_upscaled",
"images": [
"25",
0
]
},
"_meta": {
"title": "Save Upscaled Image"
}
},
"27": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"23",
0
]
},
"_meta": {
"title": "Preview Selected Image"
}
},
"11:10": {
"class_type": "ImageCrop",
"inputs": {
"height": [
"11:16",
0
],
"image": [
"16",
0
],
"width": [
"11:15",
0
],
"x": [
"11:24",
0
],
"y": [
"11:12",
0
]
},
"_meta": {
"title": "3"
}
},
"11:11": {
"class_type": "ImageCrop",
"inputs": {
"height": [
"11:16",
0
],
"image": [
"16",
0
],
"width": [
"11:15",
0
],
"x": [
"11:13",
0
],
"y": [
"11:12",
0
]
},
"_meta": {
"title": "4"
}
},
"11:12": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"11:16",
0
],
"b": [
"11:14",
0
],
"value": "a + (b/2)"
},
"_meta": {
"title": "Row 2 - Y val"
}
},
"11:13": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"11:15",
0
],
"b": [
"11:14",
0
],
"value": "a + (b/2)"
},
"_meta": {
"title": "Col 2 - X val"
}
},
"11:14": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"10",
0
],
"b": 0,
"value": "a"
},
"_meta": {
"title": "🔧 Simple Math"
}
},
"11:15": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"11:17",
0
],
"b": [
"11:14",
0
],
"value": "(a-2*b) / 2"
},
"_meta": {
"title": "WIDTH"
}
},
"11:16": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"11:17",
1
],
"b": [
"11:14",
0
],
"value": "(a-2*b) / 2"
},
"_meta": {
"title": "HEIGHT"
}
},
"11:17": {
"class_type": "GetImageSize",
"inputs": {
"image": [
"16",
0
]
},
"_meta": {
"title": "Get Image Size"
}
},
"11:19": {
"class_type": "ImageBatchMulti",
"inputs": {
"image_1": [
"11:8",
0
],
"image_2": [
"11:9",
0
],
"image_3": [
"11:10",
0
],
"image_4": [
"11:11",
0
],
"inputcount": 4
},
"_meta": {
"title": "Image Batch Multi"
}
},
"11:20": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"11:22",
0
],
"image": [
"11:19",
0
],
"keep_proportion": "stretch",
"pad_color": "0, 0, 0",
"upscale_method": "nearest-exact",
"width": [
"11:23",
0
]
},
"_meta": {
"title": "Resize Images"
}
},
"11:21": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"11:20",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"11:22": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"11:17",
1
],
"b": 0,
"value": "(a) / 2"
},
"_meta": {
"title": "HEIGHT / 2"
}
},
"11:23": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"11:17",
0
],
"b": 0,
"value": "(a) / 2"
},
"_meta": {
"title": "WIDTH / 2"
}
},
"11:24": {
"class_type": "SimpleMath+",
"inputs": {
"a": 0,
"b": [
"11:14",
0
],
"value": "b/2"
},
"_meta": {
"title": "Col 1 - X val"
}
},
"11:4": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"11:8",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"11:5": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"11:9",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"11:6": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"11:10",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"11:7": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"11:11",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"11:8": {
"class_type": "ImageCrop",
"inputs": {
"height": [
"11:16",
0
],
"image": [
"16",
0
],
"width": [
"11:15",
0
],
"x": [
"11:24",
0
],
"y": [
"11:24",
0
]
},
"_meta": {
"title": "1"
}
},
"11:9": {
"class_type": "ImageCrop",
"inputs": {
"height": [
"11:16",
0
],
"image": [
"16",
0
],
"width": [
"11:15",
0
],
"x": [
"11:13",
0
],
"y": 0
},
"_meta": {
"title": "2"
}
}
})
# Replace each example.com URL with a public URL of your file.
workflow.set_input("1", "image", client.assets.from_url("https://example.com/replace-with-a-url/image"))
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)Questions & answers
Yes, you can use any selfie, but for best results, ensure the image is clear and well-lit.
Use the batch_index setting to select your preferred image. The first image is index 0.
Try refining your text prompt for more accurate doodle illustrations. The RegexReplace node can help adjust the prompt.
Currently, the workflow does not support post-generation editing of doodles. Consider adjusting your initial prompt for different results.