mbentley124
/
openjourney-img2img
This is the OpenJourney img2img model
- Public
- 89.1K runs
-
A100 (80GB)
Prediction
mbentley124/openjourney-img2img:c49a9422Input
- prompt
- greg rutkowski, cartoon style, trending on artstation
- strength
- "0.5"
- guidance_scale
- 12.5
- negative_prompt
- deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur
- num_inference_steps
- "50"
- num_images_per_prompt
- "1"
{ "image": "https://replicate.delivery/pbxt/IG543JPETYcXioOfapbLf9BNRLX41jqAcZigtLIh7E4kVTva/person.jpeg", "prompt": "greg rutkowski, cartoon style, trending on artstation", "strength": "0.5", "guidance_scale": 12.5, "negative_prompt": "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", "num_inference_steps": "50", "num_images_per_prompt": "1" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run mbentley124/openjourney-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "mbentley124/openjourney-img2img:c49a9422a0d4303e6b8a8d2cf35d4d1b1fd49d32b946f6d5c74b78886b7e5dc3", { input: { image: "https://replicate.delivery/pbxt/IG543JPETYcXioOfapbLf9BNRLX41jqAcZigtLIh7E4kVTva/person.jpeg", prompt: "greg rutkowski, cartoon style, trending on artstation", strength: "0.5", guidance_scale: 12.5, negative_prompt: "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", num_inference_steps: "50", num_images_per_prompt: "1" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run mbentley124/openjourney-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "mbentley124/openjourney-img2img:c49a9422a0d4303e6b8a8d2cf35d4d1b1fd49d32b946f6d5c74b78886b7e5dc3", input={ "image": "https://replicate.delivery/pbxt/IG543JPETYcXioOfapbLf9BNRLX41jqAcZigtLIh7E4kVTva/person.jpeg", "prompt": "greg rutkowski, cartoon style, trending on artstation", "strength": "0.5", "guidance_scale": 12.5, "negative_prompt": "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", "num_inference_steps": "50", "num_images_per_prompt": "1" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run mbentley124/openjourney-img2img 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": "c49a9422a0d4303e6b8a8d2cf35d4d1b1fd49d32b946f6d5c74b78886b7e5dc3", "input": { "image": "https://replicate.delivery/pbxt/IG543JPETYcXioOfapbLf9BNRLX41jqAcZigtLIh7E4kVTva/person.jpeg", "prompt": "greg rutkowski, cartoon style, trending on artstation", "strength": "0.5", "guidance_scale": 12.5, "negative_prompt": "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", "num_inference_steps": "50", "num_images_per_prompt": "1" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-02-05T01:24:32.340061Z", "created_at": "2023-02-05T01:24:27.682347Z", "data_removed": false, "error": null, "id": "ql33zw43avbdzdejpdyah76tey", "input": { "image": "https://replicate.delivery/pbxt/IG543JPETYcXioOfapbLf9BNRLX41jqAcZigtLIh7E4kVTva/person.jpeg", "prompt": "greg rutkowski, cartoon style, trending on artstation", "strength": "0.5", "guidance_scale": 12.5, "negative_prompt": "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", "num_inference_steps": "50", "num_images_per_prompt": "1" }, "logs": "0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:07, 3.34it/s]\n 8%|▊ | 2/25 [00:00<00:04, 5.39it/s]\n 12%|█▏ | 3/25 [00:00<00:03, 6.71it/s]\n 16%|█▌ | 4/25 [00:00<00:02, 7.59it/s]\n 20%|██ | 5/25 [00:00<00:02, 8.18it/s]\n 24%|██▍ | 6/25 [00:00<00:02, 8.58it/s]\n 28%|██▊ | 7/25 [00:00<00:02, 8.85it/s]\n 32%|███▏ | 8/25 [00:01<00:01, 9.04it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 9.17it/s]\n 40%|████ | 10/25 [00:01<00:01, 9.27it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 9.33it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 9.37it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 9.40it/s]\n 56%|█████▌ | 14/25 [00:01<00:01, 9.41it/s]\n 60%|██████ | 15/25 [00:01<00:01, 9.43it/s]\n 64%|██████▍ | 16/25 [00:01<00:00, 9.43it/s]\n 68%|██████▊ | 17/25 [00:01<00:00, 9.43it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 9.44it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 9.45it/s]\n 80%|████████ | 20/25 [00:02<00:00, 9.46it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 9.46it/s]\n 88%|████████▊ | 22/25 [00:02<00:00, 9.47it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 9.47it/s]\n 96%|█████████▌| 24/25 [00:02<00:00, 9.47it/s]\n100%|██████████| 25/25 [00:02<00:00, 9.48it/s]\n100%|██████████| 25/25 [00:02<00:00, 8.82it/s]", "metrics": { "predict_time": 4.312294, "total_time": 4.657714 }, "output": [ "https://replicate.delivery/pbxt/p5SEzDoII2qdKVSuxx9Fe1z6qswFfKBRbGn7feov0f3fT3yGE/out-0.png" ], "started_at": "2023-02-05T01:24:28.027767Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ql33zw43avbdzdejpdyah76tey", "cancel": "https://api.replicate.com/v1/predictions/ql33zw43avbdzdejpdyah76tey/cancel" }, "version": "c49a9422a0d4303e6b8a8d2cf35d4d1b1fd49d32b946f6d5c74b78886b7e5dc3" }
Generated in0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:07, 3.34it/s] 8%|▊ | 2/25 [00:00<00:04, 5.39it/s] 12%|█▏ | 3/25 [00:00<00:03, 6.71it/s] 16%|█▌ | 4/25 [00:00<00:02, 7.59it/s] 20%|██ | 5/25 [00:00<00:02, 8.18it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.58it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.85it/s] 32%|███▏ | 8/25 [00:01<00:01, 9.04it/s] 36%|███▌ | 9/25 [00:01<00:01, 9.17it/s] 40%|████ | 10/25 [00:01<00:01, 9.27it/s] 44%|████▍ | 11/25 [00:01<00:01, 9.33it/s] 48%|████▊ | 12/25 [00:01<00:01, 9.37it/s] 52%|█████▏ | 13/25 [00:01<00:01, 9.40it/s] 56%|█████▌ | 14/25 [00:01<00:01, 9.41it/s] 60%|██████ | 15/25 [00:01<00:01, 9.43it/s] 64%|██████▍ | 16/25 [00:01<00:00, 9.43it/s] 68%|██████▊ | 17/25 [00:01<00:00, 9.43it/s] 72%|███████▏ | 18/25 [00:02<00:00, 9.44it/s] 76%|███████▌ | 19/25 [00:02<00:00, 9.45it/s] 80%|████████ | 20/25 [00:02<00:00, 9.46it/s] 84%|████████▍ | 21/25 [00:02<00:00, 9.46it/s] 88%|████████▊ | 22/25 [00:02<00:00, 9.47it/s] 92%|█████████▏| 23/25 [00:02<00:00, 9.47it/s] 96%|█████████▌| 24/25 [00:02<00:00, 9.47it/s] 100%|██████████| 25/25 [00:02<00:00, 9.48it/s] 100%|██████████| 25/25 [00:02<00:00, 8.82it/s]
Prediction
mbentley124/openjourney-img2img:c49a9422Input
- prompt
- greg rutkowski, cartoon style
- strength
- "0.5"
- guidance_scale
- 12.5
- negative_prompt
- deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur
- num_inference_steps
- "50"
- num_images_per_prompt
- "1"
{ "image": "https://replicate.delivery/pbxt/IG5E5nUzAeddzyqPWPctq7H4Mlu0x6wPgiBwcViKii6cR4OP/women.jpg", "prompt": "greg rutkowski, cartoon style", "strength": "0.5", "guidance_scale": 12.5, "negative_prompt": "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", "num_inference_steps": "50", "num_images_per_prompt": "1" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run mbentley124/openjourney-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "mbentley124/openjourney-img2img:c49a9422a0d4303e6b8a8d2cf35d4d1b1fd49d32b946f6d5c74b78886b7e5dc3", { input: { image: "https://replicate.delivery/pbxt/IG5E5nUzAeddzyqPWPctq7H4Mlu0x6wPgiBwcViKii6cR4OP/women.jpg", prompt: "greg rutkowski, cartoon style", strength: "0.5", guidance_scale: 12.5, negative_prompt: "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", num_inference_steps: "50", num_images_per_prompt: "1" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run mbentley124/openjourney-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "mbentley124/openjourney-img2img:c49a9422a0d4303e6b8a8d2cf35d4d1b1fd49d32b946f6d5c74b78886b7e5dc3", input={ "image": "https://replicate.delivery/pbxt/IG5E5nUzAeddzyqPWPctq7H4Mlu0x6wPgiBwcViKii6cR4OP/women.jpg", "prompt": "greg rutkowski, cartoon style", "strength": "0.5", "guidance_scale": 12.5, "negative_prompt": "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", "num_inference_steps": "50", "num_images_per_prompt": "1" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run mbentley124/openjourney-img2img 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": "c49a9422a0d4303e6b8a8d2cf35d4d1b1fd49d32b946f6d5c74b78886b7e5dc3", "input": { "image": "https://replicate.delivery/pbxt/IG5E5nUzAeddzyqPWPctq7H4Mlu0x6wPgiBwcViKii6cR4OP/women.jpg", "prompt": "greg rutkowski, cartoon style", "strength": "0.5", "guidance_scale": 12.5, "negative_prompt": "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", "num_inference_steps": "50", "num_images_per_prompt": "1" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-02-05T01:35:09.943563Z", "created_at": "2023-02-05T01:35:03.033789Z", "data_removed": false, "error": null, "id": "grhfzmd6bbaklansesfk7xsj7a", "input": { "image": "https://replicate.delivery/pbxt/IG5E5nUzAeddzyqPWPctq7H4Mlu0x6wPgiBwcViKii6cR4OP/women.jpg", "prompt": "greg rutkowski, cartoon style", "strength": "0.5", "guidance_scale": 12.5, "negative_prompt": "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur", "num_inference_steps": "50", "num_images_per_prompt": "1" }, "logs": "0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:11, 2.10it/s]\n 8%|▊ | 2/25 [00:00<00:07, 3.26it/s]\n 12%|█▏ | 3/25 [00:00<00:05, 3.95it/s]\n 16%|█▌ | 4/25 [00:01<00:04, 4.39it/s]\n 20%|██ | 5/25 [00:01<00:04, 4.68it/s]\n 24%|██▍ | 6/25 [00:01<00:03, 4.87it/s]\n 28%|██▊ | 7/25 [00:01<00:03, 5.00it/s]\n 32%|███▏ | 8/25 [00:01<00:03, 5.09it/s]\n 36%|███▌ | 9/25 [00:01<00:03, 5.15it/s]\n 40%|████ | 10/25 [00:02<00:02, 5.19it/s]\n 44%|████▍ | 11/25 [00:02<00:02, 5.21it/s]\n 48%|████▊ | 12/25 [00:02<00:02, 5.23it/s]\n 52%|█████▏ | 13/25 [00:02<00:02, 5.25it/s]\n 56%|█████▌ | 14/25 [00:02<00:02, 5.26it/s]\n 60%|██████ | 15/25 [00:03<00:01, 5.27it/s]\n 64%|██████▍ | 16/25 [00:03<00:01, 5.28it/s]\n 68%|██████▊ | 17/25 [00:03<00:01, 5.28it/s]\n 72%|███████▏ | 18/25 [00:03<00:01, 5.28it/s]\n 76%|███████▌ | 19/25 [00:03<00:01, 5.28it/s]\n 80%|████████ | 20/25 [00:04<00:00, 5.28it/s]\n 84%|████████▍ | 21/25 [00:04<00:00, 5.29it/s]\n 88%|████████▊ | 22/25 [00:04<00:00, 5.29it/s]\n 92%|█████████▏| 23/25 [00:04<00:00, 5.29it/s]\n 96%|█████████▌| 24/25 [00:04<00:00, 5.29it/s]\n100%|██████████| 25/25 [00:05<00:00, 5.29it/s]\n100%|██████████| 25/25 [00:05<00:00, 4.99it/s]", "metrics": { "predict_time": 6.573415, "total_time": 6.909774 }, "output": [ "https://replicate.delivery/pbxt/ft6OqCckDfkMW0E4szP4y59hgxnsX14lFQmnsAWS2n0NnLbQA/out-0.png" ], "started_at": "2023-02-05T01:35:03.370148Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/grhfzmd6bbaklansesfk7xsj7a", "cancel": "https://api.replicate.com/v1/predictions/grhfzmd6bbaklansesfk7xsj7a/cancel" }, "version": "c49a9422a0d4303e6b8a8d2cf35d4d1b1fd49d32b946f6d5c74b78886b7e5dc3" }
Generated in0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:11, 2.10it/s] 8%|▊ | 2/25 [00:00<00:07, 3.26it/s] 12%|█▏ | 3/25 [00:00<00:05, 3.95it/s] 16%|█▌ | 4/25 [00:01<00:04, 4.39it/s] 20%|██ | 5/25 [00:01<00:04, 4.68it/s] 24%|██▍ | 6/25 [00:01<00:03, 4.87it/s] 28%|██▊ | 7/25 [00:01<00:03, 5.00it/s] 32%|███▏ | 8/25 [00:01<00:03, 5.09it/s] 36%|███▌ | 9/25 [00:01<00:03, 5.15it/s] 40%|████ | 10/25 [00:02<00:02, 5.19it/s] 44%|████▍ | 11/25 [00:02<00:02, 5.21it/s] 48%|████▊ | 12/25 [00:02<00:02, 5.23it/s] 52%|█████▏ | 13/25 [00:02<00:02, 5.25it/s] 56%|█████▌ | 14/25 [00:02<00:02, 5.26it/s] 60%|██████ | 15/25 [00:03<00:01, 5.27it/s] 64%|██████▍ | 16/25 [00:03<00:01, 5.28it/s] 68%|██████▊ | 17/25 [00:03<00:01, 5.28it/s] 72%|███████▏ | 18/25 [00:03<00:01, 5.28it/s] 76%|███████▌ | 19/25 [00:03<00:01, 5.28it/s] 80%|████████ | 20/25 [00:04<00:00, 5.28it/s] 84%|████████▍ | 21/25 [00:04<00:00, 5.29it/s] 88%|████████▊ | 22/25 [00:04<00:00, 5.29it/s] 92%|█████████▏| 23/25 [00:04<00:00, 5.29it/s] 96%|█████████▌| 24/25 [00:04<00:00, 5.29it/s] 100%|██████████| 25/25 [00:05<00:00, 5.29it/s] 100%|██████████| 25/25 [00:05<00:00, 4.99it/s]
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