Merge two images, with an optional third for controlnet. (Updated 1 year, 4 months ago)
Run this model in Node.js with one line of code:
npm install replicateREPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run fofr/image-merger using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fofr/image-merger:db2c826b6a7215fd31695acb73b5b2c91a077f88a2a264c003745e62901e2867",
{
input: {
steps: 20,
width: 768,
height: 768,
prompt: "an svg illustration, sharp, solid color, thick outline",
animate: false,
image_1: "https://replicate.delivery/pbxt/KLpMSbIo0rCeITgKcB6CPTsfUbSquTptlLHOR7SyDBiaUBUS/0_2.webp",
image_2: "https://replicate.delivery/pbxt/KLpMTQ754bUSZlPnrYog5JFI0mRGVoXAkQSlPk1yfHssW532/0_2-1.webp",
merge_mode: "left_right",
upscale_2x: true,
control_image: "https://replicate.delivery/pbxt/KLpMSa1lK4SMNxrhDnXFkk6BYkpIZVVXg3WrQIlLPCUn4Uaw/0_3.webp",
upscale_steps: 20,
animate_frames: 24,
negative_prompt: "garish, soft, ugly, broken, distorted",
image_1_strength: 1,
image_2_strength: 1,
return_temp_files: false
}
}
);
// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
pip install replicateREPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
import replicateRun fofr/image-merger using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fofr/image-merger:db2c826b6a7215fd31695acb73b5b2c91a077f88a2a264c003745e62901e2867",
input={
"steps": 20,
"width": 768,
"height": 768,
"prompt": "an svg illustration, sharp, solid color, thick outline",
"animate": False,
"image_1": "https://replicate.delivery/pbxt/KLpMSbIo0rCeITgKcB6CPTsfUbSquTptlLHOR7SyDBiaUBUS/0_2.webp",
"image_2": "https://replicate.delivery/pbxt/KLpMTQ754bUSZlPnrYog5JFI0mRGVoXAkQSlPk1yfHssW532/0_2-1.webp",
"merge_mode": "left_right",
"upscale_2x": True,
"control_image": "https://replicate.delivery/pbxt/KLpMSa1lK4SMNxrhDnXFkk6BYkpIZVVXg3WrQIlLPCUn4Uaw/0_3.webp",
"upscale_steps": 20,
"animate_frames": 24,
"negative_prompt": "garish, soft, ugly, broken, distorted",
"image_1_strength": 1,
"image_2_strength": 1,
"return_temp_files": False
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/image-merger using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "fofr/image-merger:db2c826b6a7215fd31695acb73b5b2c91a077f88a2a264c003745e62901e2867",
"input": {
"steps": 20,
"width": 768,
"height": 768,
"prompt": "an svg illustration, sharp, solid color, thick outline",
"animate": false,
"image_1": "https://replicate.delivery/pbxt/KLpMSbIo0rCeITgKcB6CPTsfUbSquTptlLHOR7SyDBiaUBUS/0_2.webp",
"image_2": "https://replicate.delivery/pbxt/KLpMTQ754bUSZlPnrYog5JFI0mRGVoXAkQSlPk1yfHssW532/0_2-1.webp",
"merge_mode": "left_right",
"upscale_2x": true,
"control_image": "https://replicate.delivery/pbxt/KLpMSa1lK4SMNxrhDnXFkk6BYkpIZVVXg3WrQIlLPCUn4Uaw/0_3.webp",
"upscale_steps": 20,
"animate_frames": 24,
"negative_prompt": "garish, soft, ugly, broken, distorted",
"image_1_strength": 1,
"image_2_strength": 1,
"return_temp_files": false
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2024-11-28T11:29:02.402655Z",
"created_at": "2024-11-28T11:28:34.919000Z",
"data_removed": false,
"error": null,
"id": "xr538mnecxrme0ckea3vnnb774",
"input": {
"steps": 20,
"width": 768,
"height": 768,
"prompt": "an svg illustration, sharp, solid color, thick outline",
"animate": false,
"image_1": "https://replicate.delivery/pbxt/KLpMSbIo0rCeITgKcB6CPTsfUbSquTptlLHOR7SyDBiaUBUS/0_2.webp",
"image_2": "https://replicate.delivery/pbxt/KLpMTQ754bUSZlPnrYog5JFI0mRGVoXAkQSlPk1yfHssW532/0_2-1.webp",
"merge_mode": "left_right",
"upscale_2x": true,
"control_image": "https://replicate.delivery/pbxt/KLpMSa1lK4SMNxrhDnXFkk6BYkpIZVVXg3WrQIlLPCUn4Uaw/0_3.webp",
"upscale_steps": 20,
"animate_frames": 24,
"negative_prompt": "garish, soft, ugly, broken, distorted",
"image_1_strength": 1,
"image_2_strength": 1,
"return_temp_files": false
},
"logs": "Random seed set to: 582146397\nChecking weights\n✅ ip-adapter-plus_sd15.safetensors\n✅ control_v11p_sd15_canny_fp16.safetensors\n✅ model.15.safetensors\n✅ body_pose_model.pth\n✅ control_v11p_sd15_openpose_fp16.safetensors\n✅ Realistic_Vision_V6.0_NV_B1.safetensors\n✅ hand_pose_model.pth\n✅ 4x-UltraSharp.pth\n✅ control_v11f1p_sd15_depth_fp16.safetensors\n✅ ZoeD_M12_N.pt\n✅ facenet.pth\n====================================\nChecking inputs\n✅ /tmp/inputs/left.webp\n✅ /tmp/inputs/controlnet.webp\n✅ /tmp/inputs/right.webp\n====================================\nRunning workflow\ngot prompt\nExecuting node 8, title: KSampler (Efficient), class type: KSampler (Efficient)\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nLoading 3 new models\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:05, 3.78it/s]\n 10%|█ | 2/20 [00:00<00:04, 3.68it/s]\n 15%|█▌ | 3/20 [00:00<00:04, 3.66it/s]\n 20%|██ | 4/20 [00:01<00:04, 3.64it/s]\n 25%|██▌ | 5/20 [00:01<00:04, 3.63it/s]\n 30%|███ | 6/20 [00:01<00:03, 3.59it/s]\n 35%|███▌ | 7/20 [00:01<00:03, 3.60it/s]\n 40%|████ | 8/20 [00:02<00:03, 3.56it/s]\n 45%|████▌ | 9/20 [00:02<00:03, 3.56it/s]\n 50%|█████ | 10/20 [00:02<00:02, 3.60it/s]\n 55%|█████▌ | 11/20 [00:03<00:02, 3.63it/s]\n 60%|██████ | 12/20 [00:03<00:02, 3.64it/s]\n 65%|██████▌ | 13/20 [00:03<00:01, 3.66it/s]\n 70%|███████ | 14/20 [00:03<00:01, 4.04it/s]\n 75%|███████▌ | 15/20 [00:03<00:01, 4.32it/s]\n 80%|████████ | 16/20 [00:04<00:00, 4.56it/s]\n 85%|████████▌ | 17/20 [00:04<00:00, 4.74it/s]\n 90%|█████████ | 18/20 [00:04<00:00, 4.91it/s]\n 95%|█████████▌| 19/20 [00:04<00:00, 5.14it/s]\n100%|██████████| 20/20 [00:04<00:00, 4.18it/s]\nExecuting node 9, title: Save Image, class type: PreviewImage\nExecuting node 71, title: Ultimate SD Upscale, class type: UltimateSDUpscale\nCanva size: 1536x1536\nImage size: 768x768\nScale factor: 2\nUpscaling iteration 1 with scale factor 2\nTile size: 512x512\nTiles amount: 9\nGrid: 3x3\nRedraw enabled: True\nSeams fix mode: NONE\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nLoading 6 new models\nunload clone 4\nunload clone 3\nunload clone 2\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:02, 8.37it/s]\n 10%|█ | 2/20 [00:00<00:02, 8.97it/s]\n 15%|█▌ | 3/20 [00:00<00:01, 9.16it/s]\n 20%|██ | 4/20 [00:00<00:01, 9.35it/s]\n 25%|██▌ | 5/20 [00:00<00:01, 9.42it/s]\n 35%|███▌ | 7/20 [00:00<00:01, 11.26it/s]\n 45%|████▌ | 9/20 [00:00<00:00, 12.25it/s]\n 55%|█████▌ | 11/20 [00:00<00:00, 12.85it/s]\n 65%|██████▌ | 13/20 [00:01<00:00, 13.22it/s]\n 75%|███████▌ | 15/20 [00:01<00:00, 13.42it/s]\n 85%|████████▌ | 17/20 [00:01<00:00, 13.60it/s]\n 95%|█████████▌| 19/20 [00:01<00:00, 13.71it/s]\n100%|██████████| 20/20 [00:01<00:00, 12.38it/s]\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load 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[00:00<00:01, 11.38it/s]\n 45%|████▌ | 9/20 [00:00<00:00, 12.33it/s]\n 55%|█████▌ | 11/20 [00:00<00:00, 12.91it/s]\n 65%|██████▌ | 13/20 [00:01<00:00, 13.23it/s]\n 75%|███████▌ | 15/20 [00:01<00:00, 13.42it/s]\n 85%|████████▌ | 17/20 [00:01<00:00, 13.60it/s]\n 95%|█████████▌| 19/20 [00:01<00:00, 13.73it/s]\n100%|██████████| 20/20 [00:01<00:00, 12.51it/s]\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nLoading 6 new models\nunload clone 7\nunload clone 4\nunload clone 5\nunload clone 3\nunload clone 3\nunload clone 2\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:02, 8.75it/s]\n 10%|█ | 2/20 [00:00<00:01, 9.29it/s]\n 15%|█▌ | 3/20 [00:00<00:01, 9.41it/s]\n 20%|██ | 4/20 [00:00<00:01, 9.48it/s]\n 25%|██▌ | 5/20 [00:00<00:01, 9.57it/s]\n 35%|███▌ | 7/20 [00:00<00:01, 11.35it/s]\n 45%|████▌ | 9/20 [00:00<00:00, 12.32it/s]\n 55%|█████▌ | 11/20 [00:00<00:00, 12.89it/s]\n 65%|██████▌ | 13/20 [00:01<00:00, 13.20it/s]\n 75%|███████▌ | 15/20 [00:01<00:00, 13.38it/s]\n 85%|████████▌ | 17/20 [00:01<00:00, 13.53it/s]\n 95%|█████████▌| 19/20 [00:01<00:00, 13.67it/s]\n100%|██████████| 20/20 [00:01<00:00, 12.43it/s]\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nRequested to load ControlNet\nLoading 6 new models\nunload clone 7\nunload clone 4\nunload clone 5\nunload clone 3\nunload clone 3\nunload clone 2\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:02, 8.89it/s]\n 10%|█ | 2/20 [00:00<00:01, 9.33it/s]\n 15%|█▌ | 3/20 [00:00<00:01, 9.49it/s]\n 20%|██ | 4/20 [00:00<00:01, 9.58it/s]\n 25%|██▌ | 5/20 [00:00<00:01, 9.64it/s]\n 35%|███▌ | 7/20 [00:00<00:01, 11.42it/s]\n 45%|████▌ | 9/20 [00:00<00:00, 11.91it/s]\n 55%|█████▌ | 11/20 [00:00<00:00, 12.61it/s]\n 65%|██████▌ | 13/20 [00:01<00:00, 10.36it/s]\n 75%|███████▌ | 15/20 [00:01<00:00, 10.14it/s]\n 85%|████████▌ | 17/20 [00:01<00:00, 10.91it/s]\n 95%|█████████▌| 19/20 [00:01<00:00, 11.72it/s]\n100%|██████████| 20/20 [00:01<00:00, 11.10it/s]\nExecuting node 72, title: Save Image, class type: SaveImage\nPrompt executed in 26.95 seconds\noutputs: {'27': {'images': [{'filename': 'ComfyUI_temp_zsiiq_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '70': {'openpose_json': ['[\\n {\\n \"people\": [\\n {\\n \"pose_keypoints_2d\": [\\n 0.5458333333333333,\\n 0.44583333333333336,\\n 1.0,\\n 0.575,\\n 0.828125,\\n 1.0,\\n 0.23333333333333334,\\n 0.8322916666666667,\\n 1.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.9114583333333334,\\n 0.825,\\n 1.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.0,\\n 0.45729166666666665,\\n 0.371875,\\n 1.0,\\n 0.6302083333333334,\\n 0.3572916666666667,\\n 1.0,\\n 0.37395833333333334,\\n 0.434375,\\n 1.0,\\n 0.7520833333333333,\\n 0.421875,\\n 1.0\\n ],\\n \"face_keypoints_2d\": [\\n 0.3687500059604645,\\n 0.39895832538604736,\\n 1.0,\\n 0.3812499940395355,\\n 0.4385416805744171,\\n 1.0,\\n 0.39375001192092896,\\n 0.4906249940395355,\\n 1.0,\\n 0.4072916805744171,\\n 0.53125,\\n 1.0,\\n 0.4208333194255829,\\n 0.5708333253860474,\\n 1.0,\\n 0.4468750059604645,\\n 0.609375,\\n 1.0,\\n 0.48645833134651184,\\n 0.6354166865348816,\\n 1.0,\\n 0.5260416865348816,\\n 0.6489583253860474,\\n 1.0,\\n 0.565625011920929,\\n 0.6489583253860474,\\n 1.0,\\n 0.6166666746139526,\\n 0.6364583373069763,\\n 1.0,\\n 0.65625,\\n 0.621874988079071,\\n 1.0,\\n 0.6958333253860474,\\n 0.5833333134651184,\\n 1.0,\\n 0.721875011920929,\\n 0.5572916865348816,\\n 1.0,\\n 0.7354166507720947,\\n 0.5052083134651184,\\n 1.0,\\n 0.7354166507720947,\\n 0.4645833373069763,\\n 1.0,\\n 0.7364583611488342,\\n 0.4124999940395355,\\n 1.0,\\n 0.7489583492279053,\\n 0.3604166805744171,\\n 1.0,\\n 0.3812499940395355,\\n 0.34687501192092896,\\n 1.0,\\n 0.3947916626930237,\\n 0.31979167461395264,\\n 1.0,\\n 0.4333333373069763,\\n 0.3072916567325592,\\n 1.0,\\n 0.46041667461395264,\\n 0.3072916567325592,\\n 1.0,\\n 0.4989583194255829,\\n 0.32083332538604736,\\n 1.0,\\n 0.565625011920929,\\n 0.3072916567325592,\\n 1.0,\\n 0.6041666865348816,\\n 0.29374998807907104,\\n 1.0,\\n 0.643750011920929,\\n 0.28125,\\n 1.0,\\n 0.6833333373069763,\\n 0.29374998807907104,\\n 1.0,\\n 0.7093750238418579,\\n 0.31979167461395264,\\n 1.0,\\n 0.5385416746139526,\\n 0.3604166805744171,\\n 1.0,\\n 0.5385416746139526,\\n 0.39895832538604736,\\n 1.0,\\n 0.5385416746139526,\\n 0.42500001192092896,\\n 1.0,\\n 0.5395833253860474,\\n 0.4520833194255829,\\n 1.0,\\n 0.5249999761581421,\\n 0.4906249940395355,\\n 1.0,\\n 0.5385416746139526,\\n 0.49166667461395264,\\n 1.0,\\n 0.5520833134651184,\\n 0.49166667461395264,\\n 1.0,\\n 0.565625011920929,\\n 0.4906249940395355,\\n 1.0,\\n 0.578125,\\n 0.4781250059604645,\\n 1.0,\\n 0.4208333194255829,\\n 0.3854166567325592,\\n 1.0,\\n 0.43437498807907104,\\n 0.3604166805744171,\\n 1.0,\\n 0.4729166626930237,\\n 0.3604166805744171,\\n 1.0,\\n 0.4989583194255829,\\n 0.3854166567325592,\\n 1.0,\\n 0.4729166626930237,\\n 0.3864583373069763,\\n 1.0,\\n 0.43437498807907104,\\n 0.3864583373069763,\\n 1.0,\\n 0.5916666388511658,\\n 0.37291666865348816,\\n 1.0,\\n 0.6177083253860474,\\n 0.34687501192092896,\\n 1.0,\\n 0.643750011920929,\\n 0.34687501192092896,\\n 1.0,\\n 0.6697916388511658,\\n 0.359375,\\n 1.0,\\n 0.6447916626930237,\\n 0.37291666865348816,\\n 1.0,\\n 0.6177083253860474,\\n 0.37291666865348816,\\n 1.0,\\n 0.4989583194255829,\\n 0.5572916865348816,\\n 1.0,\\n 0.512499988079071,\\n 0.543749988079071,\\n 1.0,\\n 0.5385416746139526,\\n 0.5302083492279053,\\n 1.0,\\n 0.5520833134651184,\\n 0.5302083492279053,\\n 1.0,\\n 0.578125,\\n 0.5177083611488342,\\n 1.0,\\n 0.6041666865348816,\\n 0.53125,\\n 1.0,\\n 0.6302083134651184,\\n 0.543749988079071,\\n 1.0,\\n 0.6041666865348816,\\n 0.5572916865348816,\\n 1.0,\\n 0.578125,\\n 0.5697916746139526,\\n 1.0,\\n 0.5645833611488342,\\n 0.5708333253860474,\\n 1.0,\\n 0.5385416746139526,\\n 0.5708333253860474,\\n 1.0,\\n 0.5249999761581421,\\n 0.5697916746139526,\\n 1.0,\\n 0.5114583373069763,\\n 0.5572916865348816,\\n 1.0,\\n 0.5385416746139526,\\n 0.543749988079071,\\n 1.0,\\n 0.5645833611488342,\\n 0.543749988079071,\\n 1.0,\\n 0.578125,\\n 0.543749988079071,\\n 1.0,\\n 0.6177083253860474,\\n 0.543749988079071,\\n 1.0,\\n 0.578125,\\n 0.543749988079071,\\n 1.0,\\n 0.5645833611488342,\\n 0.543749988079071,\\n 1.0,\\n 0.5385416746139526,\\n 0.543749988079071,\\n 1.0,\\n 0.4468750059604645,\\n 0.37291666865348816,\\n 1.0,\\n 0.6302083134651184,\\n 0.359375,\\n 1.0\\n ],\\n \"hand_left_keypoints_2d\": null,\\n \"hand_right_keypoints_2d\": null\\n }\\n ],\\n \"canvas_height\": 960,\\n \"canvas_width\": 960\\n }\\n]']}, '66': {'images': [{'filename': 'ComfyUI_temp_jtpso_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '77': {'images': [{'filename': 'ComfyUI_temp_qpeve_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '60': {'images': [{'filename': 'ComfyUI_temp_fjomb_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '55': {'images': [{'filename': 'ComfyUI_temp_veglg_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '8': {'images': [{'filename': 'ComfyUI_temp_kopyh_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '9': {'images': [{'filename': 'ComfyUI_temp_mupfr_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '72': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\nComfyUI_00001_.png",
"metrics": {
"predict_time": 27.474793032,
"total_time": 27.483655
},
"output": [
"https://replicate.delivery/xezq/AYZeavS6621ZIS8KWgcNW1aZzP0CPMqHSWwmcaTktHWfXg1TA/ComfyUI_00001_.png"
],
"started_at": "2024-11-28T11:28:34.927862Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-l2c7qp3vh3bk6sifdmevzmt5fb7qy2s4qjikhvk2l2x2uhpqoqlq",
"get": "https://api.replicate.com/v1/predictions/xr538mnecxrme0ckea3vnnb774",
"cancel": "https://api.replicate.com/v1/predictions/xr538mnecxrme0ckea3vnnb774/cancel"
},
"version": "db2c826b6a7215fd31695acb73b5b2c91a077f88a2a264c003745e62901e2867"
}Random seed set to: 582146397
Checking weights
✅ ip-adapter-plus_sd15.safetensors
✅ control_v11p_sd15_canny_fp16.safetensors
✅ model.15.safetensors
✅ body_pose_model.pth
✅ control_v11p_sd15_openpose_fp16.safetensors
✅ Realistic_Vision_V6.0_NV_B1.safetensors
✅ hand_pose_model.pth
✅ 4x-UltraSharp.pth
✅ control_v11f1p_sd15_depth_fp16.safetensors
✅ ZoeD_M12_N.pt
✅ facenet.pth
====================================
Checking inputs
✅ /tmp/inputs/left.webp
✅ /tmp/inputs/controlnet.webp
✅ /tmp/inputs/right.webp
====================================
Running workflow
got prompt
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Executing node 9, title: Save Image, class type: PreviewImage
Executing node 71, title: Ultimate SD Upscale, class type: UltimateSDUpscale
Canva size: 1536x1536
Image size: 768x768
Scale factor: 2
Upscaling iteration 1 with scale factor 2
Tile size: 512x512
Tiles amount: 9
Grid: 3x3
Redraw enabled: True
Seams fix mode: NONE
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Executing node 72, title: Save Image, class type: SaveImage
Prompt executed in 26.95 seconds
outputs: {'27': {'images': [{'filename': 'ComfyUI_temp_zsiiq_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '70': {'openpose_json': ['[\n {\n "people": [\n {\n "pose_keypoints_2d": [\n 0.5458333333333333,\n 0.44583333333333336,\n 1.0,\n 0.575,\n 0.828125,\n 1.0,\n 0.23333333333333334,\n 0.8322916666666667,\n 1.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.9114583333333334,\n 0.825,\n 1.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.45729166666666665,\n 0.371875,\n 1.0,\n 0.6302083333333334,\n 0.3572916666666667,\n 1.0,\n 0.37395833333333334,\n 0.434375,\n 1.0,\n 0.7520833333333333,\n 0.421875,\n 1.0\n ],\n "face_keypoints_2d": [\n 0.3687500059604645,\n 0.39895832538604736,\n 1.0,\n 0.3812499940395355,\n 0.4385416805744171,\n 1.0,\n 0.39375001192092896,\n 0.4906249940395355,\n 1.0,\n 0.4072916805744171,\n 0.53125,\n 1.0,\n 0.4208333194255829,\n 0.5708333253860474,\n 1.0,\n 0.4468750059604645,\n 0.609375,\n 1.0,\n 0.48645833134651184,\n 0.6354166865348816,\n 1.0,\n 0.5260416865348816,\n 0.6489583253860474,\n 1.0,\n 0.565625011920929,\n 0.6489583253860474,\n 1.0,\n 0.6166666746139526,\n 0.6364583373069763,\n 1.0,\n 0.65625,\n 0.621874988079071,\n 1.0,\n 0.6958333253860474,\n 0.5833333134651184,\n 1.0,\n 0.721875011920929,\n 0.5572916865348816,\n 1.0,\n 0.7354166507720947,\n 0.5052083134651184,\n 1.0,\n 0.7354166507720947,\n 0.4645833373069763,\n 1.0,\n 0.7364583611488342,\n 0.4124999940395355,\n 1.0,\n 0.7489583492279053,\n 0.3604166805744171,\n 1.0,\n 0.3812499940395355,\n 0.34687501192092896,\n 1.0,\n 0.3947916626930237,\n 0.31979167461395264,\n 1.0,\n 0.4333333373069763,\n 0.3072916567325592,\n 1.0,\n 0.46041667461395264,\n 0.3072916567325592,\n 1.0,\n 0.4989583194255829,\n 0.32083332538604736,\n 1.0,\n 0.565625011920929,\n 0.3072916567325592,\n 1.0,\n 0.6041666865348816,\n 0.29374998807907104,\n 1.0,\n 0.643750011920929,\n 0.28125,\n 1.0,\n 0.6833333373069763,\n 0.29374998807907104,\n 1.0,\n 0.7093750238418579,\n 0.31979167461395264,\n 1.0,\n 0.5385416746139526,\n 0.3604166805744171,\n 1.0,\n 0.5385416746139526,\n 0.39895832538604736,\n 1.0,\n 0.5385416746139526,\n 0.42500001192092896,\n 1.0,\n 0.5395833253860474,\n 0.4520833194255829,\n 1.0,\n 0.5249999761581421,\n 0.4906249940395355,\n 1.0,\n 0.5385416746139526,\n 0.49166667461395264,\n 1.0,\n 0.5520833134651184,\n 0.49166667461395264,\n 1.0,\n 0.565625011920929,\n 0.4906249940395355,\n 1.0,\n 0.578125,\n 0.4781250059604645,\n 1.0,\n 0.4208333194255829,\n 0.3854166567325592,\n 1.0,\n 0.43437498807907104,\n 0.3604166805744171,\n 1.0,\n 0.4729166626930237,\n 0.3604166805744171,\n 1.0,\n 0.4989583194255829,\n 0.3854166567325592,\n 1.0,\n 0.4729166626930237,\n 0.3864583373069763,\n 1.0,\n 0.43437498807907104,\n 0.3864583373069763,\n 1.0,\n 0.5916666388511658,\n 0.37291666865348816,\n 1.0,\n 0.6177083253860474,\n 0.34687501192092896,\n 1.0,\n 0.643750011920929,\n 0.34687501192092896,\n 1.0,\n 0.6697916388511658,\n 0.359375,\n 1.0,\n 0.6447916626930237,\n 0.37291666865348816,\n 1.0,\n 0.6177083253860474,\n 0.37291666865348816,\n 1.0,\n 0.4989583194255829,\n 0.5572916865348816,\n 1.0,\n 0.512499988079071,\n 0.543749988079071,\n 1.0,\n 0.5385416746139526,\n 0.5302083492279053,\n 1.0,\n 0.5520833134651184,\n 0.5302083492279053,\n 1.0,\n 0.578125,\n 0.5177083611488342,\n 1.0,\n 0.6041666865348816,\n 0.53125,\n 1.0,\n 0.6302083134651184,\n 0.543749988079071,\n 1.0,\n 0.6041666865348816,\n 0.5572916865348816,\n 1.0,\n 0.578125,\n 0.5697916746139526,\n 1.0,\n 0.5645833611488342,\n 0.5708333253860474,\n 1.0,\n 0.5385416746139526,\n 0.5708333253860474,\n 1.0,\n 0.5249999761581421,\n 0.5697916746139526,\n 1.0,\n 0.5114583373069763,\n 0.5572916865348816,\n 1.0,\n 0.5385416746139526,\n 0.543749988079071,\n 1.0,\n 0.5645833611488342,\n 0.543749988079071,\n 1.0,\n 0.578125,\n 0.543749988079071,\n 1.0,\n 0.6177083253860474,\n 0.543749988079071,\n 1.0,\n 0.578125,\n 0.543749988079071,\n 1.0,\n 0.5645833611488342,\n 0.543749988079071,\n 1.0,\n 0.5385416746139526,\n 0.543749988079071,\n 1.0,\n 0.4468750059604645,\n 0.37291666865348816,\n 1.0,\n 0.6302083134651184,\n 0.359375,\n 1.0\n ],\n "hand_left_keypoints_2d": null,\n "hand_right_keypoints_2d": null\n }\n ],\n "canvas_height": 960,\n "canvas_width": 960\n }\n]']}, '66': {'images': [{'filename': 'ComfyUI_temp_jtpso_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '77': {'images': [{'filename': 'ComfyUI_temp_qpeve_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '60': {'images': [{'filename': 'ComfyUI_temp_fjomb_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '55': {'images': [{'filename': 'ComfyUI_temp_veglg_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '8': {'images': [{'filename': 'ComfyUI_temp_kopyh_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '9': {'images': [{'filename': 'ComfyUI_temp_mupfr_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '72': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.pngThis model costs approximately $0.012 to run on Replicate, or 83 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 13 seconds. The predict time for this model varies significantly based on the inputs.
A ComfyUI based model: https://github.com/fofr/cog-comfyui-image-merge
You can merge two images and use an optional third as a controlnet input.
Merge options include: full – each image applies to the whole image left_right - first on left, second on right top_bottom – first on top, second on bottom
When using controlnet, openpose, depth and canny nets are applied.
The 2x upscaler uses controlnet tile to upscale.
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
This model costs approximately $0.012 to run on Replicate, but this varies depending on your inputs. View more.
Choose a file from your machine
Hint: you can also drag files onto the input
Choose a file from your machine
Hint: you can also drag files onto the input
Choose a file from your machine
Hint: you can also drag files onto the input
Random seed set to: 582146397
Checking weights
✅ ip-adapter-plus_sd15.safetensors
✅ control_v11p_sd15_canny_fp16.safetensors
✅ model.15.safetensors
✅ body_pose_model.pth
✅ control_v11p_sd15_openpose_fp16.safetensors
✅ Realistic_Vision_V6.0_NV_B1.safetensors
✅ hand_pose_model.pth
✅ 4x-UltraSharp.pth
✅ control_v11f1p_sd15_depth_fp16.safetensors
✅ ZoeD_M12_N.pt
✅ facenet.pth
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Checking inputs
✅ /tmp/inputs/left.webp
✅ /tmp/inputs/controlnet.webp
✅ /tmp/inputs/right.webp
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Running workflow
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Canva size: 1536x1536
Image size: 768x768
Scale factor: 2
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Tile size: 512x512
Tiles amount: 9
Grid: 3x3
Redraw enabled: True
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Executing node 72, title: Save Image, class type: SaveImage
Prompt executed in 26.95 seconds
outputs: {'27': {'images': [{'filename': 'ComfyUI_temp_zsiiq_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '70': {'openpose_json': ['[\n {\n "people": [\n {\n "pose_keypoints_2d": [\n 0.5458333333333333,\n 0.44583333333333336,\n 1.0,\n 0.575,\n 0.828125,\n 1.0,\n 0.23333333333333334,\n 0.8322916666666667,\n 1.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.9114583333333334,\n 0.825,\n 1.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.0,\n 0.45729166666666665,\n 0.371875,\n 1.0,\n 0.6302083333333334,\n 0.3572916666666667,\n 1.0,\n 0.37395833333333334,\n 0.434375,\n 1.0,\n 0.7520833333333333,\n 0.421875,\n 1.0\n ],\n "face_keypoints_2d": [\n 0.3687500059604645,\n 0.39895832538604736,\n 1.0,\n 0.3812499940395355,\n 0.4385416805744171,\n 1.0,\n 0.39375001192092896,\n 0.4906249940395355,\n 1.0,\n 0.4072916805744171,\n 0.53125,\n 1.0,\n 0.4208333194255829,\n 0.5708333253860474,\n 1.0,\n 0.4468750059604645,\n 0.609375,\n 1.0,\n 0.48645833134651184,\n 0.6354166865348816,\n 1.0,\n 0.5260416865348816,\n 0.6489583253860474,\n 1.0,\n 0.565625011920929,\n 0.6489583253860474,\n 1.0,\n 0.6166666746139526,\n 0.6364583373069763,\n 1.0,\n 0.65625,\n 0.621874988079071,\n 1.0,\n 0.6958333253860474,\n 0.5833333134651184,\n 1.0,\n 0.721875011920929,\n 0.5572916865348816,\n 1.0,\n 0.7354166507720947,\n 0.5052083134651184,\n 1.0,\n 0.7354166507720947,\n 0.4645833373069763,\n 1.0,\n 0.7364583611488342,\n 0.4124999940395355,\n 1.0,\n 0.7489583492279053,\n 0.3604166805744171,\n 1.0,\n 0.3812499940395355,\n 0.34687501192092896,\n 1.0,\n 0.3947916626930237,\n 0.31979167461395264,\n 1.0,\n 0.4333333373069763,\n 0.3072916567325592,\n 1.0,\n 0.46041667461395264,\n 0.3072916567325592,\n 1.0,\n 0.4989583194255829,\n 0.32083332538604736,\n 1.0,\n 0.565625011920929,\n 0.3072916567325592,\n 1.0,\n 0.6041666865348816,\n 0.29374998807907104,\n 1.0,\n 0.643750011920929,\n 0.28125,\n 1.0,\n 0.6833333373069763,\n 0.29374998807907104,\n 1.0,\n 0.7093750238418579,\n 0.31979167461395264,\n 1.0,\n 0.5385416746139526,\n 0.3604166805744171,\n 1.0,\n 0.5385416746139526,\n 0.39895832538604736,\n 1.0,\n 0.5385416746139526,\n 0.42500001192092896,\n 1.0,\n 0.5395833253860474,\n 0.4520833194255829,\n 1.0,\n 0.5249999761581421,\n 0.4906249940395355,\n 1.0,\n 0.5385416746139526,\n 0.49166667461395264,\n 1.0,\n 0.5520833134651184,\n 0.49166667461395264,\n 1.0,\n 0.565625011920929,\n 0.4906249940395355,\n 1.0,\n 0.578125,\n 0.4781250059604645,\n 1.0,\n 0.4208333194255829,\n 0.3854166567325592,\n 1.0,\n 0.43437498807907104,\n 0.3604166805744171,\n 1.0,\n 0.4729166626930237,\n 0.3604166805744171,\n 1.0,\n 0.4989583194255829,\n 0.3854166567325592,\n 1.0,\n 0.4729166626930237,\n 0.3864583373069763,\n 1.0,\n 0.43437498807907104,\n 0.3864583373069763,\n 1.0,\n 0.5916666388511658,\n 0.37291666865348816,\n 1.0,\n 0.6177083253860474,\n 0.34687501192092896,\n 1.0,\n 0.643750011920929,\n 0.34687501192092896,\n 1.0,\n 0.6697916388511658,\n 0.359375,\n 1.0,\n 0.6447916626930237,\n 0.37291666865348816,\n 1.0,\n 0.6177083253860474,\n 0.37291666865348816,\n 1.0,\n 0.4989583194255829,\n 0.5572916865348816,\n 1.0,\n 0.512499988079071,\n 0.543749988079071,\n 1.0,\n 0.5385416746139526,\n 0.5302083492279053,\n 1.0,\n 0.5520833134651184,\n 0.5302083492279053,\n 1.0,\n 0.578125,\n 0.5177083611488342,\n 1.0,\n 0.6041666865348816,\n 0.53125,\n 1.0,\n 0.6302083134651184,\n 0.543749988079071,\n 1.0,\n 0.6041666865348816,\n 0.5572916865348816,\n 1.0,\n 0.578125,\n 0.5697916746139526,\n 1.0,\n 0.5645833611488342,\n 0.5708333253860474,\n 1.0,\n 0.5385416746139526,\n 0.5708333253860474,\n 1.0,\n 0.5249999761581421,\n 0.5697916746139526,\n 1.0,\n 0.5114583373069763,\n 0.5572916865348816,\n 1.0,\n 0.5385416746139526,\n 0.543749988079071,\n 1.0,\n 0.5645833611488342,\n 0.543749988079071,\n 1.0,\n 0.578125,\n 0.543749988079071,\n 1.0,\n 0.6177083253860474,\n 0.543749988079071,\n 1.0,\n 0.578125,\n 0.543749988079071,\n 1.0,\n 0.5645833611488342,\n 0.543749988079071,\n 1.0,\n 0.5385416746139526,\n 0.543749988079071,\n 1.0,\n 0.4468750059604645,\n 0.37291666865348816,\n 1.0,\n 0.6302083134651184,\n 0.359375,\n 1.0\n ],\n "hand_left_keypoints_2d": null,\n "hand_right_keypoints_2d": null\n }\n ],\n "canvas_height": 960,\n "canvas_width": 960\n }\n]']}, '66': {'images': [{'filename': 'ComfyUI_temp_jtpso_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '77': {'images': [{'filename': 'ComfyUI_temp_qpeve_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '60': {'images': [{'filename': 'ComfyUI_temp_fjomb_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '55': {'images': [{'filename': 'ComfyUI_temp_veglg_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '8': {'images': [{'filename': 'ComfyUI_temp_kopyh_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '9': {'images': [{'filename': 'ComfyUI_temp_mupfr_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '72': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.png