remodela-ai / style-transfer-i
- Public
- 1.7K runs
-
A100 (80GB)
Prediction
remodela-ai/style-transfer-i:a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359IDrzg05eckkxrgj0cfahp8p3j8dgStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 1337
- image
- prompt
- masterpiece, best quality, highres
- image_style
- guidance_scale
- 8
- style_strength
- 0.4
- negative_prompt
- worst quality, low quality, normal quality
- structure_strength
- 0.6
- num_inference_steps
- 30
{ "seed": 1337, "image": "https://replicate.delivery/pbxt/KsYW45LNOu2KkQvfeYkJ48hyZAg4Z8pswSq1iliVqHIwXzQj/image_original.jpg", "prompt": "masterpiece, best quality, highres", "image_style": "https://replicate.delivery/pbxt/KsYW3qjLozd16SnaPLvVtBTFXq31Mm7Elf3PnL9X3dDICZFL/madera.jpg", "guidance_scale": 8, "style_strength": 0.4, "negative_prompt": "worst quality, low quality, normal quality", "structure_strength": 0.6, "num_inference_steps": 30 }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 remodela-ai/style-transfer-i using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "remodela-ai/style-transfer-i:a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359", { input: { seed: 1337, image: "https://replicate.delivery/pbxt/KsYW45LNOu2KkQvfeYkJ48hyZAg4Z8pswSq1iliVqHIwXzQj/image_original.jpg", prompt: "masterpiece, best quality, highres", image_style: "https://replicate.delivery/pbxt/KsYW3qjLozd16SnaPLvVtBTFXq31Mm7Elf3PnL9X3dDICZFL/madera.jpg", guidance_scale: 8, style_strength: 0.4, negative_prompt: "worst quality, low quality, normal quality", structure_strength: 0.6, num_inference_steps: 30 } } ); // 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 remodela-ai/style-transfer-i using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "remodela-ai/style-transfer-i:a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359", input={ "seed": 1337, "image": "https://replicate.delivery/pbxt/KsYW45LNOu2KkQvfeYkJ48hyZAg4Z8pswSq1iliVqHIwXzQj/image_original.jpg", "prompt": "masterpiece, best quality, highres", "image_style": "https://replicate.delivery/pbxt/KsYW3qjLozd16SnaPLvVtBTFXq31Mm7Elf3PnL9X3dDICZFL/madera.jpg", "guidance_scale": 8, "style_strength": 0.4, "negative_prompt": "worst quality, low quality, normal quality", "structure_strength": 0.6, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run remodela-ai/style-transfer-i 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": "remodela-ai/style-transfer-i:a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359", "input": { "seed": 1337, "image": "https://replicate.delivery/pbxt/KsYW45LNOu2KkQvfeYkJ48hyZAg4Z8pswSq1iliVqHIwXzQj/image_original.jpg", "prompt": "masterpiece, best quality, highres", "image_style": "https://replicate.delivery/pbxt/KsYW3qjLozd16SnaPLvVtBTFXq31Mm7Elf3PnL9X3dDICZFL/madera.jpg", "guidance_scale": 8, "style_strength": 0.4, "negative_prompt": "worst quality, low quality, normal quality", "structure_strength": 0.6, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-05-07T19:01:41.125385Z", "created_at": "2024-05-07T18:59:12.927000Z", "data_removed": false, "error": null, "id": "rzg05eckkxrgj0cfahp8p3j8dg", "input": { "seed": 1337, "image": "https://replicate.delivery/pbxt/KsYW45LNOu2KkQvfeYkJ48hyZAg4Z8pswSq1iliVqHIwXzQj/image_original.jpg", "prompt": "masterpiece, best quality, highres", "image_style": "https://replicate.delivery/pbxt/KsYW3qjLozd16SnaPLvVtBTFXq31Mm7Elf3PnL9X3dDICZFL/madera.jpg", "guidance_scale": 8, "style_strength": 0.4, "negative_prompt": "worst quality, low quality, normal quality", "structure_strength": 0.6, "num_inference_steps": 30 }, "logs": "0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:09, 2.91it/s]\n 7%|▋ | 2/30 [00:00<00:06, 4.64it/s]\n 10%|█ | 3/30 [00:00<00:06, 4.45it/s]\n 13%|█▎ | 4/30 [00:00<00:05, 4.36it/s]\n 17%|█▋ | 5/30 [00:01<00:05, 4.28it/s]\n 20%|██ | 6/30 [00:01<00:05, 4.25it/s]\n 23%|██▎ | 7/30 [00:01<00:05, 4.24it/s]\n 27%|██▋ | 8/30 [00:01<00:05, 4.24it/s]\n 30%|███ | 9/30 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remodela-ai/style-transfer-i:a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359IDd8hgpa54bdrj20cjynavp2tnbrStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- seed
- 1337
- image
- prompt
- masterpiece, best quality, highres
- image_style
- guidance_scale
- 8
- style_strength
- 0.4
- negative_prompt
- worst quality, low quality, normal quality
- structure_strength
- 0.6
- num_inference_steps
- 30
{ "seed": 1337, "image": "https://replicate.delivery/pbxt/LuZy7w4Hejf2bL5FJ0kQAXbG43LigL3fCxfwosiL0znuwGHj/room.jpg", "prompt": "masterpiece, best quality, highres", "image_style": "https://replicate.delivery/yhqm/qwOErJbeCuyXe0et2lY4AHJySfweVkRD3jOZDdahtICWb8rdC/out-0.png", "guidance_scale": 8, "style_strength": 0.4, "negative_prompt": "worst quality, low quality, normal quality", "structure_strength": 0.6, "num_inference_steps": 30 }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 remodela-ai/style-transfer-i using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "remodela-ai/style-transfer-i:a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359", { input: { seed: 1337, image: "https://replicate.delivery/pbxt/LuZy7w4Hejf2bL5FJ0kQAXbG43LigL3fCxfwosiL0znuwGHj/room.jpg", prompt: "masterpiece, best quality, highres", image_style: "https://replicate.delivery/yhqm/qwOErJbeCuyXe0et2lY4AHJySfweVkRD3jOZDdahtICWb8rdC/out-0.png", guidance_scale: 8, style_strength: 0.4, negative_prompt: "worst quality, low quality, normal quality", structure_strength: 0.6, num_inference_steps: 30 } } ); // 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 remodela-ai/style-transfer-i using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "remodela-ai/style-transfer-i:a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359", input={ "seed": 1337, "image": "https://replicate.delivery/pbxt/LuZy7w4Hejf2bL5FJ0kQAXbG43LigL3fCxfwosiL0znuwGHj/room.jpg", "prompt": "masterpiece, best quality, highres", "image_style": "https://replicate.delivery/yhqm/qwOErJbeCuyXe0et2lY4AHJySfweVkRD3jOZDdahtICWb8rdC/out-0.png", "guidance_scale": 8, "style_strength": 0.4, "negative_prompt": "worst quality, low quality, normal quality", "structure_strength": 0.6, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run remodela-ai/style-transfer-i 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": "remodela-ai/style-transfer-i:a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359", "input": { "seed": 1337, "image": "https://replicate.delivery/pbxt/LuZy7w4Hejf2bL5FJ0kQAXbG43LigL3fCxfwosiL0znuwGHj/room.jpg", "prompt": "masterpiece, best quality, highres", "image_style": "https://replicate.delivery/yhqm/qwOErJbeCuyXe0et2lY4AHJySfweVkRD3jOZDdahtICWb8rdC/out-0.png", "guidance_scale": 8, "style_strength": 0.4, "negative_prompt": "worst quality, low quality, normal quality", "structure_strength": 0.6, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-04T04:03:19.449051Z", "created_at": "2024-11-04T04:01:23.547000Z", "data_removed": false, "error": null, "id": "d8hgpa54bdrj20cjynavp2tnbr", "input": { "seed": 1337, "image": "https://replicate.delivery/pbxt/LuZy7w4Hejf2bL5FJ0kQAXbG43LigL3fCxfwosiL0znuwGHj/room.jpg", "prompt": "masterpiece, best quality, highres", "image_style": "https://replicate.delivery/yhqm/qwOErJbeCuyXe0et2lY4AHJySfweVkRD3jOZDdahtICWb8rdC/out-0.png", "guidance_scale": 8, "style_strength": 0.4, "negative_prompt": "worst quality, low quality, normal quality", "structure_strength": 0.6, "num_inference_steps": 30 }, "logs": "0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:06, 4.51it/s]\n 10%|█ | 3/30 [00:00<00:03, 7.60it/s]\n 13%|█▎ | 4/30 [00:00<00:03, 7.59it/s]\n 17%|█▋ | 5/30 [00:00<00:03, 7.59it/s]\n 20%|██ | 6/30 [00:00<00:03, 7.59it/s]\n 23%|██▎ | 7/30 [00:00<00:03, 7.59it/s]\n 27%|██▋ | 8/30 [00:01<00:02, 7.59it/s]\n 30%|███ | 9/30 [00:01<00:02, 7.59it/s]\n 33%|███▎ | 10/30 [00:01<00:02, 7.59it/s]\n 37%|███▋ | 11/30 [00:01<00:02, 7.58it/s]\n 40%|████ | 12/30 [00:01<00:02, 7.58it/s]\n 43%|████▎ | 13/30 [00:01<00:02, 7.59it/s]\n 47%|████▋ | 14/30 [00:01<00:02, 7.59it/s]\n 50%|█████ | 15/30 [00:02<00:01, 7.59it/s]\n 53%|█████▎ | 16/30 [00:02<00:01, 7.59it/s]\n 57%|█████▋ | 17/30 [00:02<00:01, 7.59it/s]\n 60%|██████ | 18/30 [00:02<00:01, 7.58it/s]\n 63%|██████▎ | 19/30 [00:02<00:01, 7.59it/s]\n 67%|██████▋ | 20/30 [00:02<00:01, 7.59it/s]\n 70%|███████ | 21/30 [00:02<00:01, 7.59it/s]\n 73%|███████▎ | 22/30 [00:02<00:01, 7.60it/s]\n 77%|███████▋ | 23/30 [00:03<00:00, 7.60it/s]\n 80%|████████ | 24/30 [00:03<00:00, 7.59it/s]\n 83%|████████▎ | 25/30 [00:03<00:00, 7.59it/s]\n 87%|████████▋ | 26/30 [00:03<00:00, 7.59it/s]\n 90%|█████████ | 27/30 [00:03<00:00, 7.59it/s]\n 93%|█████████▎| 28/30 [00:03<00:00, 7.59it/s]\n 97%|█████████▋| 29/30 [00:03<00:00, 7.59it/s]\n100%|██████████| 30/30 [00:03<00:00, 7.59it/s]\n100%|██████████| 30/30 [00:03<00:00, 7.54it/s]\n 0%| | 0/30 [00:00<?, ?it/s]\n 7%|▋ | 2/30 [00:00<00:02, 9.99it/s]\n 10%|█ | 3/30 [00:00<00:03, 8.82it/s]\n 13%|█▎ | 4/30 [00:00<00:03, 8.31it/s]\n 17%|█▋ | 5/30 [00:00<00:03, 8.04it/s]\n 20%|██ | 6/30 [00:00<00:03, 7.88it/s]\n 23%|██▎ | 7/30 [00:00<00:02, 7.79it/s]\n 27%|██▋ | 8/30 [00:00<00:02, 7.72it/s]\n 30%|███ | 9/30 [00:01<00:02, 7.68it/s]\n 33%|███▎ | 10/30 [00:01<00:02, 7.65it/s]\n 37%|███▋ | 11/30 [00:01<00:02, 7.64it/s]\n 40%|████ | 12/30 [00:01<00:02, 7.62it/s]\n 43%|████▎ | 13/30 [00:01<00:02, 7.61it/s]\n 47%|████▋ | 14/30 [00:01<00:02, 7.61it/s]\n 50%|█████ | 15/30 [00:01<00:01, 7.60it/s]\n 53%|█████▎ | 16/30 [00:02<00:01, 7.60it/s]\n 57%|█████▋ | 17/30 [00:02<00:01, 7.60it/s]\n 60%|██████ | 18/30 [00:02<00:01, 7.59it/s]\n 63%|██████▎ | 19/30 [00:02<00:01, 7.59it/s]\n 67%|██████▋ | 20/30 [00:02<00:01, 7.59it/s]\n 70%|███████ | 21/30 [00:02<00:01, 7.59it/s]\n 73%|███████▎ | 22/30 [00:02<00:01, 7.59it/s]\n 77%|███████▋ | 23/30 [00:02<00:00, 7.59it/s]\n 80%|████████ | 24/30 [00:03<00:00, 7.59it/s]\n 83%|████████▎ | 25/30 [00:03<00:00, 7.59it/s]\n 87%|████████▋ | 26/30 [00:03<00:00, 7.59it/s]\n 90%|█████████ | 27/30 [00:03<00:00, 7.59it/s]\n 93%|█████████▎| 28/30 [00:03<00:00, 7.59it/s]\n 97%|█████████▋| 29/30 [00:03<00:00, 7.59it/s]\n100%|██████████| 30/30 [00:03<00:00, 7.59it/s]\n100%|██████████| 30/30 [00:03<00:00, 7.71it/s]", "metrics": { "predict_time": 11.436140387, "total_time": 115.902051 }, "output": [ "https://replicate.delivery/yhqm/gMzCaRr4ccLdNFClHneN7faxN6WPBTCvkvjROKbfGH3PMf1OB/out-1337-0.png" ], "started_at": "2024-11-04T04:03:08.012910Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-bpwuz5rjo4xpyxajf7hsyt5mczd277rfhiycalji5clx44cysr7q", "get": "https://api.replicate.com/v1/predictions/d8hgpa54bdrj20cjynavp2tnbr", "cancel": "https://api.replicate.com/v1/predictions/d8hgpa54bdrj20cjynavp2tnbr/cancel" }, "version": "a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359" }Generated in0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:06, 4.51it/s] 10%|█ | 3/30 [00:00<00:03, 7.60it/s] 13%|█▎ | 4/30 [00:00<00:03, 7.59it/s] 17%|█▋ | 5/30 [00:00<00:03, 7.59it/s] 20%|██ | 6/30 [00:00<00:03, 7.59it/s] 23%|██▎ | 7/30 [00:00<00:03, 7.59it/s] 27%|██▋ | 8/30 [00:01<00:02, 7.59it/s] 30%|███ | 9/30 [00:01<00:02, 7.59it/s] 33%|███▎ | 10/30 [00:01<00:02, 7.59it/s] 37%|███▋ | 11/30 [00:01<00:02, 7.58it/s] 40%|████ | 12/30 [00:01<00:02, 7.58it/s] 43%|████▎ | 13/30 [00:01<00:02, 7.59it/s] 47%|████▋ | 14/30 [00:01<00:02, 7.59it/s] 50%|█████ | 15/30 [00:02<00:01, 7.59it/s] 53%|█████▎ | 16/30 [00:02<00:01, 7.59it/s] 57%|█████▋ | 17/30 [00:02<00:01, 7.59it/s] 60%|██████ | 18/30 [00:02<00:01, 7.58it/s] 63%|██████▎ | 19/30 [00:02<00:01, 7.59it/s] 67%|██████▋ | 20/30 [00:02<00:01, 7.59it/s] 70%|███████ | 21/30 [00:02<00:01, 7.59it/s] 73%|███████▎ | 22/30 [00:02<00:01, 7.60it/s] 77%|███████▋ | 23/30 [00:03<00:00, 7.60it/s] 80%|████████ | 24/30 [00:03<00:00, 7.59it/s] 83%|████████▎ | 25/30 [00:03<00:00, 7.59it/s] 87%|████████▋ | 26/30 [00:03<00:00, 7.59it/s] 90%|█████████ | 27/30 [00:03<00:00, 7.59it/s] 93%|█████████▎| 28/30 [00:03<00:00, 7.59it/s] 97%|█████████▋| 29/30 [00:03<00:00, 7.59it/s] 100%|██████████| 30/30 [00:03<00:00, 7.59it/s] 100%|██████████| 30/30 [00:03<00:00, 7.54it/s] 0%| | 0/30 [00:00<?, ?it/s] 7%|▋ | 2/30 [00:00<00:02, 9.99it/s] 10%|█ | 3/30 [00:00<00:03, 8.82it/s] 13%|█▎ | 4/30 [00:00<00:03, 8.31it/s] 17%|█▋ | 5/30 [00:00<00:03, 8.04it/s] 20%|██ | 6/30 [00:00<00:03, 7.88it/s] 23%|██▎ | 7/30 [00:00<00:02, 7.79it/s] 27%|██▋ | 8/30 [00:00<00:02, 7.72it/s] 30%|███ | 9/30 [00:01<00:02, 7.68it/s] 33%|███▎ | 10/30 [00:01<00:02, 7.65it/s] 37%|███▋ | 11/30 [00:01<00:02, 7.64it/s] 40%|████ | 12/30 [00:01<00:02, 7.62it/s] 43%|████▎ | 13/30 [00:01<00:02, 7.61it/s] 47%|████▋ | 14/30 [00:01<00:02, 7.61it/s] 50%|█████ | 15/30 [00:01<00:01, 7.60it/s] 53%|█████▎ | 16/30 [00:02<00:01, 7.60it/s] 57%|█████▋ | 17/30 [00:02<00:01, 7.60it/s] 60%|██████ | 18/30 [00:02<00:01, 7.59it/s] 63%|██████▎ | 19/30 [00:02<00:01, 7.59it/s] 67%|██████▋ | 20/30 [00:02<00:01, 7.59it/s] 70%|███████ | 21/30 [00:02<00:01, 7.59it/s] 73%|███████▎ | 22/30 [00:02<00:01, 7.59it/s] 77%|███████▋ | 23/30 [00:02<00:00, 7.59it/s] 80%|████████ | 24/30 [00:03<00:00, 7.59it/s] 83%|████████▎ | 25/30 [00:03<00:00, 7.59it/s] 87%|████████▋ | 26/30 [00:03<00:00, 7.59it/s] 90%|█████████ | 27/30 [00:03<00:00, 7.59it/s] 93%|█████████▎| 28/30 [00:03<00:00, 7.59it/s] 97%|█████████▋| 29/30 [00:03<00:00, 7.59it/s] 100%|██████████| 30/30 [00:03<00:00, 7.59it/s] 100%|██████████| 30/30 [00:03<00:00, 7.71it/s]
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