Light Migration for Character Portrait
Upload a portrait of your character and a reference lighting image. Generate an image with reference lighting applied and character consistency.
概要
The 'Light Migration for Character Portrait' workflow is designed to seamlessly integrate a reference lighting style into a character portrait, while maintaining the character's original features. Utilizing the Qwen-Image-Edit model, this workflow allows users to upload a portrait and a reference image that demonstrates the desired lighting conditions.
The workflow then processes these inputs to generate a new image that applies the reference lighting to the character portrait, ensuring consistency and realism. This is achieved through a series of nodes, including 'LoadImage' for importing images, 'SaveImage' for exporting the final result, and a specialized node for applying the lighting transformation.
Technically, the workflow leverages the Qwen model's capabilities in image editing and transformation. The process begins with loading the character portrait and reference lighting image using the 'LoadImage' node. The Qwen-Image-Edit model then analyzes the lighting conditions in the reference image and applies these to the character portrait. This ensures that the lighting appears natural and coherent with the character's existing features.
The workflow concludes with saving the newly generated image using the 'SaveImage' node. This technique is particularly useful for artists and designers who need to visualize characters under different lighting scenarios without compromising on character integrity.
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({
"5": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI-light_migration",
"images": [
"1:8",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"6": {
"class_type": "LoadImage",
"inputs": {
"image": "woman_with_sunbeam.jpg"
},
"_meta": {
"title": "Load Lighting Image"
}
},
"7": {
"class_type": "LoadImage",
"inputs": {
"image": "women_with_blue_orb.jpg"
},
"_meta": {
"title": "Load Subject Image"
}
},
"1:101": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "Qwen-Image-Edit-2509-Light-Migration.safetensors",
"model": [
"1:89",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
},
"1:102": {
"class_type": "TextEncodeQwenImageEditPlus",
"inputs": {
"clip": [
"1:38",
0
],
"image1": [
"1:104",
0
],
"image2": [
"1:105",
0
],
"prompt": "参考色调，移除图1原有的光照并参考图2的光照和色调对图1重新照明, maintain canny edge of interior glass orb.",
"vae": [
"1:39",
0
]
},
"_meta": {
"title": "Text Encode Qwen Image Edit Plus"
}
},
"1:103": {
"class_type": "TextEncodeQwenImageEditPlus",
"inputs": {
"clip": [
"1:38",
0
],
"image1": [
"1:104",
0
],
"image2": [
"1:105",
0
],
"prompt": "",
"vae": [
"1:39",
0
]
},
"_meta": {
"title": "Text Encode Qwen Image Edit Plus"
}
},
"1:104": {
"class_type": "ImageScaleToTotalPixels",
"inputs": {
"image": [
"7",
0
],
"megapixels": 1,
"resolution_steps": 1,
"upscale_method": "lanczos"
},
"_meta": {
"title": "Scale Image to Total Pixels"
}
},
"1:105": {
"class_type": "ImageScaleToTotalPixels",
"inputs": {
"image": [
"6",
0
],
"megapixels": 1,
"resolution_steps": 1,
"upscale_method": "nearest-exact"
},
"_meta": {
"title": "Scale Image to Total Pixels"
}
},
"1:108": {
"class_type": "RepeatLatentBatch",
"inputs": {
"amount": 1,
"samples": [
"1:88",
0
]
},
"_meta": {
"title": "Repeat Latent Batch"
}
},
"1:3": {
"class_type": "KSampler",
"inputs": {
"cfg": 1,
"denoise": 1,
"latent_image": [
"1:108",
0
],
"model": [
"1:75",
0
],
"negative": [
"1:103",
0
],
"positive": [
"1:102",
0
],
"sampler_name": "euler",
"scheduler": "simple",
"seed": 1047952688565236,
"steps": 8
},
"_meta": {
"title": "KSampler"
}
},
"1:37": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "qwen_image_edit_2509_fp8_e4m3fn.safetensors",
"weight_dtype": "default"
},
"_meta": {
"title": "Load Diffusion Model"
}
},
"1:38": {
"class_type": "CLIPLoader",
"inputs": {
"clip_name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
"device": "default",
"type": "qwen_image"
},
"_meta": {
"title": "Load CLIP"
}
},
"1:39": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "qwen_image_vae.safetensors"
},
"_meta": {
"title": "Load VAE"
}
},
"1:66": {
"class_type": "ModelSamplingAuraFlow",
"inputs": {
"model": [
"1:101",
0
],
"sampling": "flow",
"shift": 3
},
"_meta": {
"title": "ModelSamplingAuraFlow"
}
},
"1:75": {
"class_type": "CFGNorm",
"inputs": {
"model": [
"1:66",
0
],
"pre_cfg": False,
"strength": 1
},
"_meta": {
"title": "CFGNorm"
}
},
"1:8": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"1:3",
0
],
"vae": [
"1:39",
0
]
},
"_meta": {
"title": "VAE Decode"
}
},
"1:88": {
"class_type": "VAEEncode",
"inputs": {
"pixels": [
"1:104",
0
],
"vae": [
"1:39",
0
]
},
"_meta": {
"title": "VAE Encode"
}
},
"1:89": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "Qwen-Image-Edit-2509-Lightning-8steps-V1.0-bf16.safetensors",
"model": [
"1:37",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
}
})
# 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, you can use any image that clearly demonstrates the desired lighting conditions. The model will analyze and apply these to your character portrait.
No, the workflow is designed to maintain the character's original features while applying the new lighting, ensuring consistency and realism.
The 'LoadImage' node supports common image formats such as JPEG, PNG, and BMP for both the character portrait and reference lighting image.
Currently, the workflow applies the lighting as detected from the reference image. For custom adjustments, additional editing might be required post-process.