subhash25rawat / logo-in-context
Create ads for marketing, social media with your own company logo on any object you want. (Updated 6 months ago)
- Public
- 356 runs
Prediction
subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6bIDwd7pa1yvfnrme0cmsyqrb126amStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- image
- logo_description
- a company logo
- picture_description
- The logo embroided on a cap and a tshirt which a model is wearing
{ "image": "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png", "logo_description": "a company logo", "picture_description": "The logo embroided on a cap and a tshirt which a model is wearing" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run subhash25rawat/logo-in-context using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b", { input: { image: "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png", logo_description: "a company logo", picture_description: "The logo embroided on a cap and a tshirt which a model is wearing" } } ); // 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.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun subhash25rawat/logo-in-context using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b", input={ "image": "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png", "logo_description": "a company logo", "picture_description": "The logo embroided on a cap and a tshirt which a model is wearing" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run subhash25rawat/logo-in-context 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": "subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b", "input": { "image": "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png", "logo_description": "a company logo", "picture_description": "The logo embroided on a cap and a tshirt which a model is wearing" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-02-04T06:44:44.929617Z", "created_at": "2025-02-04T06:39:56.285000Z", "data_removed": false, "error": null, "id": "wd7pa1yvfnrme0cmsyqrb126am", "input": { "image": "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png", "logo_description": "a company logo", "picture_description": "The logo embroided on a cap and a tshirt which a model is wearing" }, "logs": "0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:23, 1.16it/s]\n 7%|▋ | 2/28 [00:01<00:20, 1.29it/s]\n 11%|█ | 3/28 [00:02<00:18, 1.34it/s]\n 14%|█▍ | 4/28 [00:03<00:17, 1.36it/s]\n 18%|█▊ | 5/28 [00:03<00:16, 1.37it/s]\n 21%|██▏ | 6/28 [00:04<00:15, 1.38it/s]\n 25%|██▌ | 7/28 [00:05<00:15, 1.38it/s]\n 29%|██▊ | 8/28 [00:05<00:14, 1.38it/s]\n 32%|███▏ | 9/28 [00:06<00:13, 1.39it/s]\n 36%|███▌ | 10/28 [00:07<00:12, 1.39it/s]\n 39%|███▉ | 11/28 [00:08<00:12, 1.39it/s]\n 43%|████▎ | 12/28 [00:08<00:11, 1.39it/s]\n 46%|████▋ | 13/28 [00:09<00:10, 1.39it/s]\n 50%|█████ | 14/28 [00:10<00:10, 1.39it/s]\n 54%|█████▎ | 15/28 [00:10<00:09, 1.39it/s]\n 57%|█████▋ | 16/28 [00:11<00:08, 1.39it/s]\n 61%|██████ | 17/28 [00:12<00:07, 1.39it/s]\n 64%|██████▍ | 18/28 [00:13<00:07, 1.39it/s]\n 68%|██████▊ | 19/28 [00:13<00:06, 1.39it/s]\n 71%|███████▏ | 20/28 [00:14<00:05, 1.39it/s]\n 75%|███████▌ | 21/28 [00:15<00:05, 1.39it/s]\n 79%|███████▊ | 22/28 [00:15<00:04, 1.39it/s]\n 82%|████████▏ | 23/28 [00:16<00:03, 1.39it/s]\n 86%|████████▌ | 24/28 [00:17<00:02, 1.38it/s]\n 89%|████████▉ | 25/28 [00:18<00:02, 1.38it/s]\n 93%|█████████▎| 26/28 [00:18<00:01, 1.38it/s]\n 96%|█████████▋| 27/28 [00:19<00:00, 1.38it/s]\n100%|██████████| 28/28 [00:20<00:00, 1.49it/s]\n100%|██████████| 28/28 [00:20<00:00, 1.39it/s]", "metrics": { "predict_time": 21.680335945, "total_time": 288.644617 }, "output": [ "https://replicate.delivery/xezq/jpKN26pFiH6INxvLEkI88lCnVeQUHlDvQs048tIeCF7cl2LUA/output1.png", "https://replicate.delivery/xezq/akZ6TEGsaV5LMFZjY2ereiM8hiHXGwfafdoEmodmJAizVavQB/output2.png" ], "started_at": "2025-02-04T06:44:23.249282Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-cdwmj3ssihikr3s7bmhrhk35jx6tsrtne5d4qd4sohcbc3hhpvmq", "get": "https://api.replicate.com/v1/predictions/wd7pa1yvfnrme0cmsyqrb126am", "cancel": "https://api.replicate.com/v1/predictions/wd7pa1yvfnrme0cmsyqrb126am/cancel" }, "version": "804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b" }Generated in0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:23, 1.16it/s] 7%|▋ | 2/28 [00:01<00:20, 1.29it/s] 11%|█ | 3/28 [00:02<00:18, 1.34it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.36it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.37it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.38it/s] 25%|██▌ | 7/28 [00:05<00:15, 1.38it/s] 29%|██▊ | 8/28 [00:05<00:14, 1.38it/s] 32%|███▏ | 9/28 [00:06<00:13, 1.39it/s] 36%|███▌ | 10/28 [00:07<00:12, 1.39it/s] 39%|███▉ | 11/28 [00:08<00:12, 1.39it/s] 43%|████▎ | 12/28 [00:08<00:11, 1.39it/s] 46%|████▋ | 13/28 [00:09<00:10, 1.39it/s] 50%|█████ | 14/28 [00:10<00:10, 1.39it/s] 54%|█████▎ | 15/28 [00:10<00:09, 1.39it/s] 57%|█████▋ | 16/28 [00:11<00:08, 1.39it/s] 61%|██████ | 17/28 [00:12<00:07, 1.39it/s] 64%|██████▍ | 18/28 [00:13<00:07, 1.39it/s] 68%|██████▊ | 19/28 [00:13<00:06, 1.39it/s] 71%|███████▏ | 20/28 [00:14<00:05, 1.39it/s] 75%|███████▌ | 21/28 [00:15<00:05, 1.39it/s] 79%|███████▊ | 22/28 [00:15<00:04, 1.39it/s] 82%|████████▏ | 23/28 [00:16<00:03, 1.39it/s] 86%|████████▌ | 24/28 [00:17<00:02, 1.38it/s] 89%|████████▉ | 25/28 [00:18<00:02, 1.38it/s] 93%|█████████▎| 26/28 [00:18<00:01, 1.38it/s] 96%|█████████▋| 27/28 [00:19<00:00, 1.38it/s] 100%|██████████| 28/28 [00:20<00:00, 1.49it/s] 100%|██████████| 28/28 [00:20<00:00, 1.39it/s]Prediction
subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6bIDj20y1tyranrma0cmsytr9vs19mStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- image
- logo_description
- A Hugging Face emoji logo
- picture_description
- An embroidered hat
{ "image": "https://multimodalart-logo-in-context.hf.space/gradio_api/file=/tmp/gradio/025271a43add18b95b4bed0c31a675e14400aee3e56c29070692fceb980b86de/huggingface.png", "logo_description": "A Hugging Face emoji logo", "picture_description": "An embroidered hat" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run subhash25rawat/logo-in-context using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b", { input: { image: "https://multimodalart-logo-in-context.hf.space/gradio_api/file=/tmp/gradio/025271a43add18b95b4bed0c31a675e14400aee3e56c29070692fceb980b86de/huggingface.png", logo_description: "A Hugging Face emoji logo", picture_description: "An embroidered hat" } } ); // 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.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun subhash25rawat/logo-in-context using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b", input={ "image": "https://multimodalart-logo-in-context.hf.space/gradio_api/file=/tmp/gradio/025271a43add18b95b4bed0c31a675e14400aee3e56c29070692fceb980b86de/huggingface.png", "logo_description": "A Hugging Face emoji logo", "picture_description": "An embroidered hat" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run subhash25rawat/logo-in-context 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": "subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b", "input": { "image": "https://multimodalart-logo-in-context.hf.space/gradio_api/file=/tmp/gradio/025271a43add18b95b4bed0c31a675e14400aee3e56c29070692fceb980b86de/huggingface.png", "logo_description": "A Hugging Face emoji logo", "picture_description": "An embroidered hat" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-02-04T06:51:23.050606Z", "created_at": "2025-02-04T06:46:28.693000Z", "data_removed": false, "error": null, "id": "j20y1tyranrma0cmsytr9vs19m", "input": { "image": "https://multimodalart-logo-in-context.hf.space/gradio_api/file=/tmp/gradio/025271a43add18b95b4bed0c31a675e14400aee3e56c29070692fceb980b86de/huggingface.png", "logo_description": "A Hugging Face emoji logo", "picture_description": "An embroidered hat" }, "logs": "0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:23, 1.15it/s]\n 7%|▋ | 2/28 [00:01<00:20, 1.27it/s]\n 11%|█ | 3/28 [00:02<00:18, 1.32it/s]\n 14%|█▍ | 4/28 [00:03<00:17, 1.34it/s]\n 18%|█▊ | 5/28 [00:03<00:17, 1.35it/s]\n 21%|██▏ | 6/28 [00:04<00:16, 1.36it/s]\n 25%|██▌ | 7/28 [00:05<00:15, 1.36it/s]\n 29%|██▊ | 8/28 [00:05<00:14, 1.36it/s]\n 32%|███▏ | 9/28 [00:06<00:13, 1.37it/s]\n 36%|███▌ | 10/28 [00:07<00:13, 1.37it/s]\n 39%|███▉ | 11/28 [00:08<00:12, 1.37it/s]\n 43%|████▎ | 12/28 [00:08<00:11, 1.37it/s]\n 46%|████▋ | 13/28 [00:09<00:10, 1.37it/s]\n 50%|█████ | 14/28 [00:10<00:10, 1.37it/s]\n 54%|█████▎ | 15/28 [00:11<00:09, 1.37it/s]\n 57%|█████▋ | 16/28 [00:11<00:08, 1.37it/s]\n 61%|██████ | 17/28 [00:12<00:08, 1.37it/s]\n 64%|██████▍ | 18/28 [00:13<00:07, 1.37it/s]\n 68%|██████▊ | 19/28 [00:14<00:06, 1.37it/s]\n 71%|███████▏ | 20/28 [00:14<00:05, 1.37it/s]\n 75%|███████▌ | 21/28 [00:15<00:05, 1.37it/s]\n 79%|███████▊ | 22/28 [00:16<00:04, 1.37it/s]\n 82%|████████▏ | 23/28 [00:16<00:03, 1.37it/s]\n 86%|████████▌ | 24/28 [00:17<00:02, 1.37it/s]\n 89%|████████▉ | 25/28 [00:18<00:02, 1.36it/s]\n 93%|█████████▎| 26/28 [00:19<00:01, 1.36it/s]\n 96%|█████████▋| 27/28 [00:19<00:00, 1.36it/s]\n100%|██████████| 28/28 [00:20<00:00, 1.47it/s]\n100%|██████████| 28/28 [00:20<00:00, 1.37it/s]", "metrics": { "predict_time": 21.826273985, "total_time": 294.357606 }, "output": [ "https://replicate.delivery/xezq/stfHZ9vgB3WwSKeBoIRwpbaMTITTCBWpNxv5rif8eUNvuavQB/output1.png", "https://replicate.delivery/xezq/IMRlpdMOpPbkKJfbpGBWXwZAWepylnGuE0GhoAFHpeSXXtXoA/output2.png" ], "started_at": "2025-02-04T06:51:01.224332Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-ozxnhihorsyzofsoiobm7jtepxx6reejfv6rsx6hlepbqefsmlda", "get": "https://api.replicate.com/v1/predictions/j20y1tyranrma0cmsytr9vs19m", "cancel": "https://api.replicate.com/v1/predictions/j20y1tyranrma0cmsytr9vs19m/cancel" }, "version": "804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b" }Generated in0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:23, 1.15it/s] 7%|▋ | 2/28 [00:01<00:20, 1.27it/s] 11%|█ | 3/28 [00:02<00:18, 1.32it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.34it/s] 18%|█▊ | 5/28 [00:03<00:17, 1.35it/s] 21%|██▏ | 6/28 [00:04<00:16, 1.36it/s] 25%|██▌ | 7/28 [00:05<00:15, 1.36it/s] 29%|██▊ | 8/28 [00:05<00:14, 1.36it/s] 32%|███▏ | 9/28 [00:06<00:13, 1.37it/s] 36%|███▌ | 10/28 [00:07<00:13, 1.37it/s] 39%|███▉ | 11/28 [00:08<00:12, 1.37it/s] 43%|████▎ | 12/28 [00:08<00:11, 1.37it/s] 46%|████▋ | 13/28 [00:09<00:10, 1.37it/s] 50%|█████ | 14/28 [00:10<00:10, 1.37it/s] 54%|█████▎ | 15/28 [00:11<00:09, 1.37it/s] 57%|█████▋ | 16/28 [00:11<00:08, 1.37it/s] 61%|██████ | 17/28 [00:12<00:08, 1.37it/s] 64%|██████▍ | 18/28 [00:13<00:07, 1.37it/s] 68%|██████▊ | 19/28 [00:14<00:06, 1.37it/s] 71%|███████▏ | 20/28 [00:14<00:05, 1.37it/s] 75%|███████▌ | 21/28 [00:15<00:05, 1.37it/s] 79%|███████▊ | 22/28 [00:16<00:04, 1.37it/s] 82%|████████▏ | 23/28 [00:16<00:03, 1.37it/s] 86%|████████▌ | 24/28 [00:17<00:02, 1.37it/s] 89%|████████▉ | 25/28 [00:18<00:02, 1.36it/s] 93%|█████████▎| 26/28 [00:19<00:01, 1.36it/s] 96%|█████████▋| 27/28 [00:19<00:00, 1.36it/s] 100%|██████████| 28/28 [00:20<00:00, 1.47it/s] 100%|██████████| 28/28 [00:20<00:00, 1.37it/s]
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