danielguedesb / pix2pix
(Updated 1 year, 3 months ago)
- Public
- 2.7K runs
Prediction
danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22aIDyxbt6edbxgjcxq3hiiamlfdqjuStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- make the fruit dark red
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7.5
- num_inference_steps
- 100
- image_guidance_scale
- 1.5
{ "image": "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "make the fruit dark red", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", { input: { image: "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", prompt: "make the fruit dark red", scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7.5, num_inference_steps: 100, image_guidance_scale: 1.5 } } ); // 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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", input={ "image": "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "make the fruit dark red", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danielguedesb/pix2pix 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": "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", "input": { "image": "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "make the fruit dark red", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-03-17T21:02:49.976926Z", "created_at": "2024-03-17T20:59:46.099582Z", "data_removed": false, "error": null, "id": "yxbt6edbxgjcxq3hiiamlfdqju", "input": { "image": "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "make the fruit dark red", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }, "logs": "Using seed: 47143\n 0%| | 0/100 [00:00<?, ?it/s]\n 1%| | 1/100 [00:00<00:47, 2.10it/s]\n 2%|▏ | 2/100 [00:00<00:25, 3.80it/s]\n 3%|▎ | 3/100 [00:01<00:32, 3.01it/s]\n 4%|▍ | 4/100 [00:01<00:34, 2.75it/s]\n 5%|▌ | 5/100 [00:01<00:36, 2.62it/s]\n 6%|▌ | 6/100 [00:02<00:36, 2.54it/s]\n 7%|▋ | 7/100 [00:02<00:37, 2.50it/s]\n 8%|▊ | 8/100 [00:03<00:37, 2.47it/s]\n 9%|▉ | 9/100 [00:03<00:37, 2.45it/s]\n 10%|█ | 10/100 [00:03<00:36, 2.44it/s]\n 11%|█ | 11/100 [00:04<00:36, 2.43it/s]\n 12%|█▏ | 12/100 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99%|█████████▉| 99/100 [00:41<00:00, 2.37it/s]\n100%|██████████| 100/100 [00:41<00:00, 2.37it/s]\n100%|██████████| 100/100 [00:41<00:00, 2.41it/s]", "metrics": { "predict_time": 46.268996, "total_time": 183.877344 }, "output": [ "https://replicate.delivery/pbxt/VzCeGAYb9V0jYKKJkgwBJlk8miEqj3VudHWrTqxmzRz8YoQJA/out-0.png" ], "started_at": "2024-03-17T21:02:03.707930Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/yxbt6edbxgjcxq3hiiamlfdqju", "cancel": "https://api.replicate.com/v1/predictions/yxbt6edbxgjcxq3hiiamlfdqju/cancel" }, "version": "4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a" }Generated inUsing seed: 47143 0%| | 0/100 [00:00<?, ?it/s] 1%| | 1/100 [00:00<00:47, 2.10it/s] 2%|▏ | 2/100 [00:00<00:25, 3.80it/s] 3%|▎ | 3/100 [00:01<00:32, 3.01it/s] 4%|▍ | 4/100 [00:01<00:34, 2.75it/s] 5%|▌ | 5/100 [00:01<00:36, 2.62it/s] 6%|▌ | 6/100 [00:02<00:36, 2.54it/s] 7%|▋ | 7/100 [00:02<00:37, 2.50it/s] 8%|▊ | 8/100 [00:03<00:37, 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danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22aIDinsfjxdb55g66yoch6lwjh5w6uStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- What would it look like if it was night
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7.5
- num_inference_steps
- 100
- image_guidance_scale
- 1.5
{ "image": "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", "prompt": "What would it look like if it was night", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", { input: { image: "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", prompt: "What would it look like if it was night", scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7.5, num_inference_steps: 100, image_guidance_scale: 1.5 } } ); // 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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", input={ "image": "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", "prompt": "What would it look like if it was night", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danielguedesb/pix2pix 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": "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", "input": { "image": "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", "prompt": "What would it look like if it was night", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-03-18T12:26:40.721491Z", "created_at": "2024-03-18T12:26:13.710738Z", "data_removed": false, "error": null, "id": "insfjxdb55g66yoch6lwjh5w6u", "input": { "image": "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", "prompt": "What would it look like if it was night", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }, "logs": "Using seed: 17977\n 0%| | 0/100 [00:00<?, ?it/s]\n 1%| | 1/100 [00:00<00:19, 4.96it/s]\n 2%|▏ | 2/100 [00:00<00:22, 4.31it/s]\n 3%|▎ | 3/100 [00:00<00:23, 4.14it/s]\n 4%|▍ | 4/100 [00:00<00:23, 4.07it/s]\n 5%|▌ | 5/100 [00:01<00:23, 4.01it/s]\n 6%|▌ | 6/100 [00:01<00:23, 3.98it/s]\n 7%|▋ | 7/100 [00:01<00:23, 3.97it/s]\n 8%|▊ | 8/100 [00:01<00:23, 3.96it/s]\n 9%|▉ | 9/100 [00:02<00:23, 3.95it/s]\n 10%|█ | 10/100 [00:02<00:22, 3.93it/s]\n 11%|█ | 11/100 [00:02<00:22, 3.93it/s]\n 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3.92it/s] 100%|██████████| 100/100 [00:25<00:00, 3.92it/s] 100%|██████████| 100/100 [00:25<00:00, 3.94it/s]Prediction
danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22aIDocrzvjtbkhx63lko6nhgngpnwuStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- How would it look like with colors inverted
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7.5
- num_inference_steps
- 100
- image_guidance_scale
- 1.5
{ "image": "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "How would it look like with colors inverted", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", { input: { image: "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", prompt: "How would it look like with colors inverted", scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7.5, num_inference_steps: 100, image_guidance_scale: 1.5 } } ); // 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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", input={ "image": "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "How would it look like with colors inverted", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danielguedesb/pix2pix 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": "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", "input": { "image": "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "How would it look like with colors inverted", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-03-18T12:29:06.527143Z", "created_at": "2024-03-18T12:28:22.526842Z", "data_removed": false, "error": null, "id": "ocrzvjtbkhx63lko6nhgngpnwu", "input": { "image": "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "How would it look like with colors inverted", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }, "logs": "Using seed: 60851\n 0%| | 0/100 [00:00<?, ?it/s]\n 1%| | 1/100 [00:00<00:37, 2.68it/s]\n 2%|▏ | 2/100 [00:00<00:33, 2.96it/s]\n 3%|▎ | 3/100 [00:01<00:36, 2.67it/s]\n 4%|▍ | 4/100 [00:01<00:37, 2.55it/s]\n 5%|▌ | 5/100 [00:01<00:38, 2.49it/s]\n 6%|▌ | 6/100 [00:02<00:38, 2.45it/s]\n 7%|▋ | 7/100 [00:02<00:38, 2.43it/s]\n 8%|▊ | 8/100 [00:03<00:38, 2.41it/s]\n 9%|▉ | 9/100 [00:03<00:37, 2.40it/s]\n 10%|█ | 10/100 [00:04<00:37, 2.40it/s]\n 11%|█ | 11/100 [00:04<00:37, 2.39it/s]\n 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2.37it/s]\n 99%|█████████▉| 99/100 [00:41<00:00, 2.37it/s]\n100%|██████████| 100/100 [00:41<00:00, 2.37it/s]\n100%|██████████| 100/100 [00:41<00:00, 2.39it/s]", "metrics": { "predict_time": 43.983114, "total_time": 44.000301 }, "output": [ "https://replicate.delivery/pbxt/6zIla1sp9W4UOdXevsujmeZvM7przarPTk1qmyNXto6SWeClA/out-0.png" ], "started_at": "2024-03-18T12:28:22.544029Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ocrzvjtbkhx63lko6nhgngpnwu", "cancel": "https://api.replicate.com/v1/predictions/ocrzvjtbkhx63lko6nhgngpnwu/cancel" }, "version": "4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a" }Generated inUsing seed: 60851 0%| | 0/100 [00:00<?, ?it/s] 1%| | 1/100 [00:00<00:37, 2.68it/s] 2%|▏ | 2/100 [00:00<00:33, 2.96it/s] 3%|▎ | 3/100 [00:01<00:36, 2.67it/s] 4%|▍ | 4/100 [00:01<00:37, 2.55it/s] 5%|▌ | 5/100 [00:01<00:38, 2.49it/s] 6%|▌ | 6/100 [00:02<00:38, 2.45it/s] 7%|▋ | 7/100 [00:02<00:38, 2.43it/s] 8%|▊ | 8/100 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