Isometric Miniatures from a Selfie
Upload a character or selfie and prompt the outfit/scene. Generate a 2x2 grid of isometric figurines of your character.
About
This ComfyUI workflow, titled 'Isometric Miniatures from a Selfie,' enables users to transform a simple selfie or character image into a 2x2 grid of isometric figurines. Leveraging models such as Nano Banana Pro and Gemini3 Pro Image Preview, the workflow allows for creative customization of outfits and scenes.
The process begins with uploading an image using the LoadImage node. The GeminiImage2Node then processes the image, integrating it with user-defined prompts for outfits and scenes. The workflow utilizes custom nodes like comfyui-kjnodes and comfyui_essentials to enhance the image transformation process, ensuring high-quality outputs.
This workflow is particularly useful for artists and designers looking to create unique isometric art from personal photos or character designs.
What you provide
- Reading the workflow
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- 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.
What you need
- Runs on
- Comfy Cloud
- Key
- COMFY_API_KEY
Needs a paid Cloud plan and credits.
# 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": "character_in_red_jacket.png"
},
"_meta": {
"title": "Load Character/Selfie Image"
}
},
"3": {
"class_type": "GeminiImage2Node",
"inputs": {
"aspect_ratio": "1:1",
"images": [
"1",
0
],
"model": "gemini-3-pro-image-preview",
"prompt": [
"86:81",
0
],
"resolution": "4K",
"response_modalities": "IMAGE+TEXT",
"seed": 111111,
"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)"
}
},
"4": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-2x2_grid",
"images": [
"3",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"52": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 0
},
"_meta": {
"title": "Crop Inset Grid Images"
}
},
"54": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_1",
"images": [
"53:8",
0
]
},
"_meta": {
"title": "Save Image 1"
}
},
"55": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_2",
"images": [
"53:9",
0
]
},
"_meta": {
"title": "Save Image 2"
}
},
"56": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_3",
"images": [
"53:10",
0
]
},
"_meta": {
"title": "Save Image 3"
}
},
"57": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-image_4",
"images": [
"53:11",
0
]
},
"_meta": {
"title": "Save Image 4"
}
},
"79": {
"class_type": "PrimitiveStringMultiline",
"inputs": {
"value": "frame 1: a hardware engineer building modern rocket engines\nframe 2: riding on an all red ducatti\nframe 3: standing behind a DJ deck\nframe 4: wearing a virtual reality headset controlling a drone"
},
"_meta": {
"title": "Describe Scenes/Actions/Vibes"
}
},
"83": {
"class_type": "PrimitiveStringMultiline",
"inputs": {
"value": "the same outfit as the input image"
},
"_meta": {
"title": "Describe Outfit"
}
},
"85": {
"class_type": "PreviewAny",
"inputs": {
"source": [
"86:81",
0
]
},
"_meta": {
"title": "Preview Prompt"
}
},
"53:10": {
"class_type": "ImageCrop",
"inputs": {
"height": [
"53:16",
0
],
"image": [
"3",
0
],
"width": [
"53:15",
0
],
"x": [
"53:24",
0
],
"y": [
"53:12",
0
]
},
"_meta": {
"title": "3"
}
},
"53:11": {
"class_type": "ImageCrop",
"inputs": {
"height": [
"53:16",
0
],
"image": [
"3",
0
],
"width": [
"53:15",
0
],
"x": [
"53:13",
0
],
"y": [
"53:12",
0
]
},
"_meta": {
"title": "4"
}
},
"53:12": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"53:16",
0
],
"b": [
"53:14",
0
],
"value": "a + (b/2)"
},
"_meta": {
"title": "Row 2 - Y val"
}
},
"53:13": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"53:15",
0
],
"b": [
"53:14",
0
],
"value": "a + (b/2)"
},
"_meta": {
"title": "Col 2 - X val"
}
},
"53:14": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"52",
0
],
"b": 0,
"value": "a"
},
"_meta": {
"title": "Crop Inset Grid Images Value"
}
},
"53:15": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"53:17",
0
],
"b": [
"53:14",
0
],
"value": "(a-2*b) / 2"
},
"_meta": {
"title": "WIDTH"
}
},
"53:16": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"53:17",
1
],
"b": [
"53:14",
0
],
"value": "(a-2*b) / 2"
},
"_meta": {
"title": "HEIGHT"
}
},
"53:17": {
"class_type": "GetImageSize",
"inputs": {
"image": [
"3",
0
]
},
"_meta": {
"title": "Get Image Size"
}
},
"53:19": {
"class_type": "ImageBatchMulti",
"inputs": {
"image_1": [
"53:8",
0
],
"image_2": [
"53:9",
0
],
"image_3": [
"53:10",
0
],
"image_4": [
"53:11",
0
],
"inputcount": 4
},
"_meta": {
"title": "Image Batch Multi"
}
},
"53:20": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"53:22",
0
],
"image": [
"53:19",
0
],
"keep_proportion": "stretch",
"pad_color": "0, 0, 0",
"upscale_method": "nearest-exact",
"width": [
"53:23",
0
]
},
"_meta": {
"title": "Resize Images"
}
},
"53:21": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"53:20",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"53:22": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"53:17",
1
],
"b": 0,
"value": "(a) / 2"
},
"_meta": {
"title": "HEIGHT / 2"
}
},
"53:23": {
"class_type": "SimpleMath+",
"inputs": {
"a": [
"53:17",
0
],
"b": 0,
"value": "(a) / 2"
},
"_meta": {
"title": "WIDTH / 2"
}
},
"53:24": {
"class_type": "SimpleMath+",
"inputs": {
"a": 0,
"b": [
"53:14",
0
],
"value": "b/2"
},
"_meta": {
"title": "Col 1 - X val"
}
},
"53:4": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"53:8",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"53:5": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"53:9",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"53:6": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"53:10",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"53:7": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"53:11",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"53:8": {
"class_type": "ImageCrop",
"inputs": {
"height": [
"53:16",
0
],
"image": [
"3",
0
],
"width": [
"53:15",
0
],
"x": [
"53:24",
0
],
"y": [
"53:24",
0
]
},
"_meta": {
"title": "1"
}
},
"53:9": {
"class_type": "ImageCrop",
"inputs": {
"height": [
"53:16",
0
],
"image": [
"3",
0
],
"width": [
"53:15",
0
],
"x": [
"53:13",
0
],
"y": 0
},
"_meta": {
"title": "2"
}
},
"86:80": {
"class_type": "PrimitiveStringMultiline",
"inputs": {
"value": "Make a miniature, full-body, isometric, realistic figurine of this person, wearing {outfit}, the character is: {description}, on a white background, minimal, 4K resolution.\nAll frames should be oriented in the same direction.\nNO VISIBLE GUTTERS OR BLACK BORDERS."
},
"_meta": {
"title": "Prompt Template"
}
},
"86:81": {
"class_type": "StringConcatenate",
"inputs": {
"delimiter": " ",
"string_a": "Generate a 2x2 (2 rows, 2 cols) grid.\n\nDivide the frame in 4 different frames. Each frame must be unique.",
"string_b": [
"86:84",
0
]
},
"_meta": {
"title": "Concatenate Text"
}
},
"86:82": {
"class_type": "RegexReplace",
"inputs": {
"case_insensitive": True,
"count": 0,
"dotall": False,
"multiline": False,
"regex_pattern": "{outfit}",
"replace": [
"83",
0
],
"string": [
"86:80",
0
]
},
"_meta": {
"title": "Replace Text (Regex)"
}
},
"86:84": {
"class_type": "RegexReplace",
"inputs": {
"case_insensitive": True,
"count": 0,
"dotall": False,
"multiline": False,
"regex_pattern": "{description}",
"replace": [
"79",
0
],
"string": [
"86:82",
0
]
},
"_meta": {
"title": "Replace Text (Regex)"
}
}
})
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)Questions & answers
High-resolution selfies or character images with clear features yield the best results. Ensure the image is well-lit and free from obstructions.
Yes, you can input specific prompts for outfits and scenes using the PrimitiveStringMultiline node to tailor each figurine's appearance.
Ensure that all models and nodes are correctly installed and configured. Experiment with different prompts and image resolutions for improved results.
Yes, as long as you have the appropriate rights to the input images and comply with the licensing terms of the models and nodes used.