charlesmccarthy
/
blend-images
High quality image blending using Kandinsky 2.2 blending pipeline brought to you by your best friends at FullJourney.AI :)
- Public
- 75.6K runs
-
L40S
Prediction
charlesmccarthy/blend-images:1ed8aaaaIDy6fgly3be4x5erx5sxj2ekhwxaStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image1
- image2
- prompt
- A deer shaped clock
{ "image1": "https://replicate.delivery/pbxt/JYUwgFNQbajoEQxvkJIPjDfIpE5Pj51iSfeU8CaYe1896Hyk/generatedimg_4_43531b30-b813-4226-9d5a-a80b5a29f613_1695126618.png", "image2": "https://replicate.delivery/pbxt/JYUwgCRwYFmMbVAK0RmU5ftY6zg86x6zjTrLG9Bq3abzB6Mw/generatedimg_2_466bb97d-67eb-406a-8a20-2aeb975ea45c_1695134551.png", "prompt": "A deer shaped clock" }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run charlesmccarthy/blend-images using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "charlesmccarthy/blend-images:1ed8aaaa04fa84f0c1191679e765d209b94866f6503038416dcbcb340fede892", { input: { image1: "https://replicate.delivery/pbxt/JYUwgFNQbajoEQxvkJIPjDfIpE5Pj51iSfeU8CaYe1896Hyk/generatedimg_4_43531b30-b813-4226-9d5a-a80b5a29f613_1695126618.png", image2: "https://replicate.delivery/pbxt/JYUwgCRwYFmMbVAK0RmU5ftY6zg86x6zjTrLG9Bq3abzB6Mw/generatedimg_2_466bb97d-67eb-406a-8a20-2aeb975ea45c_1695134551.png", prompt: "A deer shaped clock" } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun charlesmccarthy/blend-images using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "charlesmccarthy/blend-images:1ed8aaaa04fa84f0c1191679e765d209b94866f6503038416dcbcb340fede892", input={ "image1": "https://replicate.delivery/pbxt/JYUwgFNQbajoEQxvkJIPjDfIpE5Pj51iSfeU8CaYe1896Hyk/generatedimg_4_43531b30-b813-4226-9d5a-a80b5a29f613_1695126618.png", "image2": "https://replicate.delivery/pbxt/JYUwgCRwYFmMbVAK0RmU5ftY6zg86x6zjTrLG9Bq3abzB6Mw/generatedimg_2_466bb97d-67eb-406a-8a20-2aeb975ea45c_1695134551.png", "prompt": "A deer shaped clock" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run charlesmccarthy/blend-images 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": "1ed8aaaa04fa84f0c1191679e765d209b94866f6503038416dcbcb340fede892", "input": { "image1": "https://replicate.delivery/pbxt/JYUwgFNQbajoEQxvkJIPjDfIpE5Pj51iSfeU8CaYe1896Hyk/generatedimg_4_43531b30-b813-4226-9d5a-a80b5a29f613_1695126618.png", "image2": "https://replicate.delivery/pbxt/JYUwgCRwYFmMbVAK0RmU5ftY6zg86x6zjTrLG9Bq3abzB6Mw/generatedimg_2_466bb97d-67eb-406a-8a20-2aeb975ea45c_1695134551.png", "prompt": "A deer shaped clock" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-19T14:47:18.855162Z", "created_at": "2023-09-19T14:44:58.838855Z", "data_removed": false, "error": null, "id": "y6fgly3be4x5erx5sxj2ekhwxa", "input": { "image1": "https://replicate.delivery/pbxt/JYUwgFNQbajoEQxvkJIPjDfIpE5Pj51iSfeU8CaYe1896Hyk/generatedimg_4_43531b30-b813-4226-9d5a-a80b5a29f613_1695126618.png", "image2": "https://replicate.delivery/pbxt/JYUwgCRwYFmMbVAK0RmU5ftY6zg86x6zjTrLG9Bq3abzB6Mw/generatedimg_2_466bb97d-67eb-406a-8a20-2aeb975ea45c_1695134551.png", "prompt": "A deer shaped clock" }, "logs": "0%| | 0/25 [00:00<?, ?it/s]\n 32%|███▏ | 8/25 [00:00<00:00, 74.16it/s]\n 64%|██████▍ | 16/25 [00:00<00:00, 76.68it/s]\n 96%|█████████▌| 24/25 [00:00<00:00, 77.78it/s]\n100%|██████████| 25/25 [00:00<00:00, 77.27it/s]\n 0%| | 0/25 [00:00<?, ?it/s]\n 32%|███▏ | 8/25 [00:00<00:00, 78.77it/s]\n 64%|██████▍ | 16/25 [00:00<00:00, 76.97it/s]\n 96%|█████████▌| 24/25 [00:00<00:00, 76.73it/s]\n100%|██████████| 25/25 [00:00<00:00, 77.01it/s]\n 0%| | 0/100 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90%|█████████ | 90/100 [00:11<00:01, 7.72it/s]\n 91%|█████████ | 91/100 [00:11<00:01, 7.73it/s]\n 92%|█████████▏| 92/100 [00:11<00:01, 7.73it/s]\n 93%|█████████▎| 93/100 [00:12<00:00, 7.73it/s]\n 94%|█████████▍| 94/100 [00:12<00:00, 7.74it/s]\n 95%|█████████▌| 95/100 [00:12<00:00, 7.74it/s]\n 96%|█████████▌| 96/100 [00:12<00:00, 7.73it/s]\n 97%|█████████▋| 97/100 [00:12<00:00, 7.74it/s]\n 98%|█████████▊| 98/100 [00:12<00:00, 7.74it/s]\n 99%|█████████▉| 99/100 [00:12<00:00, 7.73it/s]\n100%|██████████| 100/100 [00:12<00:00, 7.73it/s]\n100%|██████████| 100/100 [00:12<00:00, 7.74it/s]", "metrics": { "predict_time": 17.637254, "total_time": 140.016307 }, "output": "https://pbxt.replicate.delivery/jWpveeiis2oXLE4cmnTu5l2SpfKGdbqKBbLAHgBDFykqzsLjA/output.png", "started_at": "2023-09-19T14:47:01.217908Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/y6fgly3be4x5erx5sxj2ekhwxa", "cancel": "https://api.replicate.com/v1/predictions/y6fgly3be4x5erx5sxj2ekhwxa/cancel" }, "version": "1ed8aaaa04fa84f0c1191679e765d209b94866f6503038416dcbcb340fede892" }Generated in0%| | 0/25 [00:00<?, ?it/s] 32%|███▏ | 8/25 [00:00<00:00, 74.16it/s] 64%|██████▍ | 16/25 [00:00<00:00, 76.68it/s] 96%|█████████▌| 24/25 [00:00<00:00, 77.78it/s] 100%|██████████| 25/25 [00:00<00:00, 77.27it/s] 0%| | 0/25 [00:00<?, ?it/s] 32%|███▏ | 8/25 [00:00<00:00, 78.77it/s] 64%|██████▍ | 16/25 [00:00<00:00, 76.97it/s] 96%|█████████▌| 24/25 [00:00<00:00, 76.73it/s] 100%|██████████| 25/25 [00:00<00:00, 77.01it/s] 0%| | 0/100 [00:00<?, ?it/s] 1%| | 1/100 [00:00<00:12, 7.84it/s] 2%|▏ | 2/100 [00:00<00:12, 7.79it/s] 3%|▎ | 3/100 [00:00<00:12, 7.77it/s] 4%|▍ | 4/100 [00:00<00:12, 7.76it/s] 5%|▌ | 5/100 [00:00<00:12, 7.77it/s] 6%|▌ | 6/100 [00:00<00:12, 7.78it/s] 7%|▋ | 7/100 [00:00<00:11, 7.77it/s] 8%|▊ | 8/100 [00:01<00:11, 7.77it/s] 9%|▉ | 9/100 [00:01<00:11, 7.76it/s] 10%|█ | 10/100 [00:01<00:11, 7.76it/s] 11%|█ | 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81%|████████ | 81/100 [00:10<00:02, 7.73it/s] 82%|████████▏ | 82/100 [00:10<00:02, 7.73it/s] 83%|████████▎ | 83/100 [00:10<00:02, 7.73it/s] 84%|████████▍ | 84/100 [00:10<00:02, 7.73it/s] 85%|████████▌ | 85/100 [00:10<00:01, 7.73it/s] 86%|████████▌ | 86/100 [00:11<00:01, 7.72it/s] 87%|████████▋ | 87/100 [00:11<00:01, 7.71it/s] 88%|████████▊ | 88/100 [00:11<00:01, 7.72it/s] 89%|████████▉ | 89/100 [00:11<00:01, 7.72it/s] 90%|█████████ | 90/100 [00:11<00:01, 7.72it/s] 91%|█████████ | 91/100 [00:11<00:01, 7.73it/s] 92%|█████████▏| 92/100 [00:11<00:01, 7.73it/s] 93%|█████████▎| 93/100 [00:12<00:00, 7.73it/s] 94%|█████████▍| 94/100 [00:12<00:00, 7.74it/s] 95%|█████████▌| 95/100 [00:12<00:00, 7.74it/s] 96%|█████████▌| 96/100 [00:12<00:00, 7.73it/s] 97%|█████████▋| 97/100 [00:12<00:00, 7.74it/s] 98%|█████████▊| 98/100 [00:12<00:00, 7.74it/s] 99%|█████████▉| 99/100 [00:12<00:00, 7.73it/s] 100%|██████████| 100/100 [00:12<00:00, 7.73it/s] 100%|██████████| 100/100 [00:12<00:00, 7.74it/s]Prediction
charlesmccarthy/blend-images:1ed8aaaaIDgl7zucdbjwcp5vhd3odcid62kiStatusSucceededSourceAPIHardwareA40Total durationCreatedData has been removedAll input parameters, output values, and logs are automatically removed after an hour, by default, for predictions created through the API.
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