lucataco
/
stable-diffusion-x4-upscaler
Stable Diffusion x4 upscaler model
Prediction
lucataco/stable-diffusion-x4-upscaler:c96e30ccID4fgwdczbguymz4s6tgf4ipl2iqStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- image
- scale
- 4
- prompt
- A white cat
{ "image": "https://replicate.delivery/pbxt/K3QScDT9LGCqNO3ovXk1vfbq8KCpl8Va4UVwLCo9EOtXPqFm/cat.png", "scale": 4, "prompt": "A white cat" }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 lucataco/stable-diffusion-x4-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/stable-diffusion-x4-upscaler:c96e30cc409e6c5f68cd8b071b15fe819b23956669fd6461891000ee64545760", { input: { image: "https://replicate.delivery/pbxt/K3QScDT9LGCqNO3ovXk1vfbq8KCpl8Va4UVwLCo9EOtXPqFm/cat.png", scale: 4, prompt: "A white cat" } } ); 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 lucataco/stable-diffusion-x4-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/stable-diffusion-x4-upscaler:c96e30cc409e6c5f68cd8b071b15fe819b23956669fd6461891000ee64545760", input={ "image": "https://replicate.delivery/pbxt/K3QScDT9LGCqNO3ovXk1vfbq8KCpl8Va4UVwLCo9EOtXPqFm/cat.png", "scale": 4, "prompt": "A white cat" } ) 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 lucataco/stable-diffusion-x4-upscaler 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": "c96e30cc409e6c5f68cd8b071b15fe819b23956669fd6461891000ee64545760", "input": { "image": "https://replicate.delivery/pbxt/K3QScDT9LGCqNO3ovXk1vfbq8KCpl8Va4UVwLCo9EOtXPqFm/cat.png", "scale": 4, "prompt": "A white cat" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
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{ "completed_at": "2023-12-15T17:55:02.716497Z", "created_at": "2023-12-15T17:53:24.109173Z", "data_removed": false, "error": null, "id": "4fgwdczbguymz4s6tgf4ipl2iq", "input": { "image": "https://replicate.delivery/pbxt/K3QScDT9LGCqNO3ovXk1vfbq8KCpl8Va4UVwLCo9EOtXPqFm/cat.png", "scale": 4, "prompt": "A white cat" }, "logs": "Downscaled image size: (128, 128)\n 0%| | 0/75 [00:00<?, ?it/s]\n 1%|▏ | 1/75 [00:00<00:47, 1.55it/s]\n 5%|▌ | 4/75 [00:00<00:11, 6.30it/s]\n 9%|▉ | 7/75 [00:00<00:06, 10.41it/s]\n 13%|█▎ | 10/75 [00:01<00:04, 13.88it/s]\n 17%|█▋ | 13/75 [00:01<00:03, 16.62it/s]\n 21%|██▏ | 16/75 [00:01<00:03, 18.80it/s]\n 25%|██▌ | 19/75 [00:01<00:02, 19.89it/s]\n 29%|██▉ | 22/75 [00:01<00:02, 21.15it/s]\n 33%|███▎ | 25/75 [00:01<00:02, 22.01it/s]\n 37%|███▋ | 28/75 [00:01<00:02, 22.54it/s]\n 41%|████▏ | 31/75 [00:01<00:01, 23.00it/s]\n 45%|████▌ | 34/75 [00:02<00:01, 23.31it/s]\n 49%|████▉ | 37/75 [00:02<00:01, 23.49it/s]\n 53%|█████▎ | 40/75 [00:02<00:01, 23.58it/s]\n 57%|█████▋ | 43/75 [00:02<00:01, 22.87it/s]\n 61%|██████▏ | 46/75 [00:02<00:01, 22.73it/s]\n 65%|██████▌ | 49/75 [00:02<00:01, 23.10it/s]\n 69%|██████▉ | 52/75 [00:02<00:00, 23.36it/s]\n 73%|███████▎ | 55/75 [00:02<00:00, 23.60it/s]\n 77%|███████▋ | 58/75 [00:03<00:00, 23.82it/s]\n 81%|████████▏ | 61/75 [00:03<00:00, 23.87it/s]\n 85%|████████▌ | 64/75 [00:03<00:00, 24.05it/s]\n 89%|████████▉ | 67/75 [00:03<00:00, 24.06it/s]\n 93%|█████████▎| 70/75 [00:03<00:00, 22.99it/s]\n 97%|█████████▋| 73/75 [00:03<00:00, 23.26it/s]\n100%|██████████| 75/75 [00:03<00:00, 19.85it/s]", "metrics": { "predict_time": 5.446678, "total_time": 98.607324 }, "output": "https://replicate.delivery/pbxt/fgWy0KTVQwyPIiBgv8A40GvLdpJlfIEo8enPkKRUFLfbPRKIB/upscaled.png", "started_at": "2023-12-15T17:54:57.269819Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4fgwdczbguymz4s6tgf4ipl2iq", "cancel": "https://api.replicate.com/v1/predictions/4fgwdczbguymz4s6tgf4ipl2iq/cancel" }, "version": "c96e30cc409e6c5f68cd8b071b15fe819b23956669fd6461891000ee64545760" }Generated inDownscaled image size: (128, 128) 0%| | 0/75 [00:00<?, ?it/s] 1%|▏ | 1/75 [00:00<00:47, 1.55it/s] 5%|▌ | 4/75 [00:00<00:11, 6.30it/s] 9%|▉ | 7/75 [00:00<00:06, 10.41it/s] 13%|█▎ | 10/75 [00:01<00:04, 13.88it/s] 17%|█▋ | 13/75 [00:01<00:03, 16.62it/s] 21%|██▏ | 16/75 [00:01<00:03, 18.80it/s] 25%|██▌ | 19/75 [00:01<00:02, 19.89it/s] 29%|██▉ | 22/75 [00:01<00:02, 21.15it/s] 33%|███▎ | 25/75 [00:01<00:02, 22.01it/s] 37%|███▋ | 28/75 [00:01<00:02, 22.54it/s] 41%|████▏ | 31/75 [00:01<00:01, 23.00it/s] 45%|████▌ | 34/75 [00:02<00:01, 23.31it/s] 49%|████▉ | 37/75 [00:02<00:01, 23.49it/s] 53%|█████▎ | 40/75 [00:02<00:01, 23.58it/s] 57%|█████▋ | 43/75 [00:02<00:01, 22.87it/s] 61%|██████▏ | 46/75 [00:02<00:01, 22.73it/s] 65%|██████▌ | 49/75 [00:02<00:01, 23.10it/s] 69%|██████▉ | 52/75 [00:02<00:00, 23.36it/s] 73%|███████▎ | 55/75 [00:02<00:00, 23.60it/s] 77%|███████▋ | 58/75 [00:03<00:00, 23.82it/s] 81%|████████▏ | 61/75 [00:03<00:00, 23.87it/s] 85%|████████▌ | 64/75 [00:03<00:00, 24.05it/s] 89%|████████▉ | 67/75 [00:03<00:00, 24.06it/s] 93%|█████████▎| 70/75 [00:03<00:00, 22.99it/s] 97%|█████████▋| 73/75 [00:03<00:00, 23.26it/s] 100%|██████████| 75/75 [00:03<00:00, 19.85it/s]Prediction
lucataco/stable-diffusion-x4-upscaler:c96e30ccIDwnljkxzbse7f7n2io4kzvoeihiStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- image
- scale
- 4
- prompt
- A white cat
{ "image": "https://replicate.delivery/pbxt/K3QUKRawkHNGZHZzEObxV5kXwWCBPrPOMgnglZw2BiCsBwQY/cat512.png", "scale": 4, "prompt": "A white cat" }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 lucataco/stable-diffusion-x4-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/stable-diffusion-x4-upscaler:c96e30cc409e6c5f68cd8b071b15fe819b23956669fd6461891000ee64545760", { input: { image: "https://replicate.delivery/pbxt/K3QUKRawkHNGZHZzEObxV5kXwWCBPrPOMgnglZw2BiCsBwQY/cat512.png", scale: 4, prompt: "A white cat" } } ); 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 lucataco/stable-diffusion-x4-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/stable-diffusion-x4-upscaler:c96e30cc409e6c5f68cd8b071b15fe819b23956669fd6461891000ee64545760", input={ "image": "https://replicate.delivery/pbxt/K3QUKRawkHNGZHZzEObxV5kXwWCBPrPOMgnglZw2BiCsBwQY/cat512.png", "scale": 4, "prompt": "A white cat" } ) 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 lucataco/stable-diffusion-x4-upscaler 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": "c96e30cc409e6c5f68cd8b071b15fe819b23956669fd6461891000ee64545760", "input": { "image": "https://replicate.delivery/pbxt/K3QUKRawkHNGZHZzEObxV5kXwWCBPrPOMgnglZw2BiCsBwQY/cat512.png", "scale": 4, "prompt": "A white cat" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
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{ "completed_at": "2023-12-15T17:55:48.178757Z", "created_at": "2023-12-15T17:55:11.354169Z", "data_removed": false, "error": null, "id": "wnljkxzbse7f7n2io4kzvoeihi", "input": { "image": "https://replicate.delivery/pbxt/K3QUKRawkHNGZHZzEObxV5kXwWCBPrPOMgnglZw2BiCsBwQY/cat512.png", "scale": 4, "prompt": "A white cat" }, "logs": "Downscaled image size: (512, 512)\n 0%| | 0/75 [00:00<?, ?it/s]\n 1%|▏ | 1/75 [00:00<00:30, 2.46it/s]\n 3%|▎ | 2/75 [00:00<00:28, 2.60it/s]\n 4%|▍ | 3/75 [00:01<00:27, 2.65it/s]\n 5%|▌ | 4/75 [00:01<00:26, 2.68it/s]\n 7%|▋ | 5/75 [00:01<00:26, 2.69it/s]\n 8%|▊ | 6/75 [00:02<00:25, 2.70it/s]\n 9%|▉ | 7/75 [00:02<00:25, 2.70it/s]\n 11%|█ | 8/75 [00:02<00:24, 2.71it/s]\n 12%|█▏ | 9/75 [00:03<00:24, 2.71it/s]\n 13%|█▎ | 10/75 [00:03<00:23, 2.71it/s]\n 15%|█▍ | 11/75 [00:04<00:23, 2.71it/s]\n 16%|█▌ | 12/75 [00:04<00:23, 2.71it/s]\n 17%|█▋ | 13/75 [00:04<00:22, 2.71it/s]\n 19%|█▊ | 14/75 [00:05<00:22, 2.71it/s]\n 20%|██ | 15/75 [00:05<00:22, 2.71it/s]\n 21%|██▏ | 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81%|████████▏ | 61/75 [00:22<00:05, 2.70it/s]\n 83%|████████▎ | 62/75 [00:22<00:04, 2.70it/s]\n 84%|████████▍ | 63/75 [00:23<00:04, 2.70it/s]\n 85%|████████▌ | 64/75 [00:23<00:04, 2.70it/s]\n 87%|████████▋ | 65/75 [00:24<00:03, 2.70it/s]\n 88%|████████▊ | 66/75 [00:24<00:03, 2.71it/s]\n 89%|████████▉ | 67/75 [00:24<00:02, 2.70it/s]\n 91%|█████████ | 68/75 [00:25<00:02, 2.70it/s]\n 92%|█████████▏| 69/75 [00:25<00:02, 2.70it/s]\n 93%|█████████▎| 70/75 [00:25<00:01, 2.70it/s]\n 95%|█████████▍| 71/75 [00:26<00:01, 2.70it/s]\n 96%|█████████▌| 72/75 [00:26<00:01, 2.70it/s]\n 97%|█████████▋| 73/75 [00:26<00:00, 2.70it/s]\n 99%|█████████▊| 74/75 [00:27<00:00, 2.70it/s]\n100%|██████████| 75/75 [00:27<00:00, 2.70it/s]\n100%|██████████| 75/75 [00:27<00:00, 2.70it/s]", "metrics": { "predict_time": 36.811203, "total_time": 36.824588 }, "output": "https://replicate.delivery/pbxt/aHnTvlsIuPpefUQYHHuebBXvYey8obeuzsz2DInn3HSbkiUQC/upscaled.png", "started_at": "2023-12-15T17:55:11.367554Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wnljkxzbse7f7n2io4kzvoeihi", "cancel": "https://api.replicate.com/v1/predictions/wnljkxzbse7f7n2io4kzvoeihi/cancel" }, "version": "c96e30cc409e6c5f68cd8b071b15fe819b23956669fd6461891000ee64545760" }Generated inDownscaled image size: (512, 512) 0%| | 0/75 [00:00<?, ?it/s] 1%|▏ | 1/75 [00:00<00:30, 2.46it/s] 3%|▎ | 2/75 [00:00<00:28, 2.60it/s] 4%|▍ | 3/75 [00:01<00:27, 2.65it/s] 5%|▌ | 4/75 [00:01<00:26, 2.68it/s] 7%|▋ | 5/75 [00:01<00:26, 2.69it/s] 8%|▊ | 6/75 [00:02<00:25, 2.70it/s] 9%|▉ | 7/75 [00:02<00:25, 2.70it/s] 11%|█ | 8/75 [00:02<00:24, 2.71it/s] 12%|█▏ | 9/75 [00:03<00:24, 2.71it/s] 13%|█▎ | 10/75 [00:03<00:23, 2.71it/s] 15%|█▍ | 11/75 [00:04<00:23, 2.71it/s] 16%|█▌ | 12/75 [00:04<00:23, 2.71it/s] 17%|█▋ | 13/75 [00:04<00:22, 2.71it/s] 19%|█▊ | 14/75 [00:05<00:22, 2.71it/s] 20%|██ | 15/75 [00:05<00:22, 2.71it/s] 21%|██▏ | 16/75 [00:05<00:21, 2.71it/s] 23%|██▎ | 17/75 [00:06<00:21, 2.71it/s] 24%|██▍ | 18/75 [00:06<00:21, 2.71it/s] 25%|██▌ | 19/75 [00:07<00:20, 2.71it/s] 27%|██▋ | 20/75 [00:07<00:20, 2.71it/s] 28%|██▊ | 21/75 [00:07<00:19, 2.71it/s] 29%|██▉ | 22/75 [00:08<00:19, 2.71it/s] 31%|███ | 23/75 [00:08<00:19, 2.71it/s] 32%|███▏ | 24/75 [00:08<00:18, 2.71it/s] 33%|███▎ | 25/75 [00:09<00:18, 2.71it/s] 35%|███▍ | 26/75 [00:09<00:18, 2.71it/s] 36%|███▌ | 27/75 [00:09<00:17, 2.71it/s] 37%|███▋ | 28/75 [00:10<00:17, 2.71it/s] 39%|███▊ | 29/75 [00:10<00:16, 2.71it/s] 40%|████ | 30/75 [00:11<00:16, 2.71it/s] 41%|████▏ | 31/75 [00:11<00:16, 2.71it/s] 43%|████▎ | 32/75 [00:11<00:15, 2.71it/s] 44%|████▍ | 33/75 [00:12<00:15, 2.71it/s] 45%|████▌ | 34/75 [00:12<00:15, 2.71it/s] 47%|████▋ | 35/75 [00:12<00:14, 2.71it/s] 48%|████▊ | 36/75 [00:13<00:14, 2.71it/s] 49%|████▉ | 37/75 [00:13<00:14, 2.71it/s] 51%|█████ | 38/75 [00:14<00:13, 2.71it/s] 52%|█████▏ | 39/75 [00:14<00:13, 2.71it/s] 53%|█████▎ | 40/75 [00:14<00:12, 2.71it/s] 55%|█████▍ | 41/75 [00:15<00:12, 2.71it/s] 56%|█████▌ | 42/75 [00:15<00:12, 2.71it/s] 57%|█████▋ | 43/75 [00:15<00:11, 2.71it/s] 59%|█████▊ | 44/75 [00:16<00:11, 2.71it/s] 60%|██████ | 45/75 [00:16<00:11, 2.71it/s] 61%|██████▏ | 46/75 [00:17<00:10, 2.71it/s] 63%|██████▎ | 47/75 [00:17<00:10, 2.71it/s] 64%|██████▍ | 48/75 [00:17<00:09, 2.71it/s] 65%|██████▌ | 49/75 [00:18<00:09, 2.71it/s] 67%|██████▋ | 50/75 [00:18<00:09, 2.71it/s] 68%|██████▊ | 51/75 [00:18<00:08, 2.71it/s] 69%|██████▉ | 52/75 [00:19<00:08, 2.71it/s] 71%|███████ | 53/75 [00:19<00:08, 2.71it/s] 72%|███████▏ | 54/75 [00:19<00:07, 2.71it/s] 73%|███████▎ | 55/75 [00:20<00:07, 2.70it/s] 75%|███████▍ | 56/75 [00:20<00:07, 2.71it/s] 76%|███████▌ | 57/75 [00:21<00:06, 2.71it/s] 77%|███████▋ | 58/75 [00:21<00:06, 2.70it/s] 79%|███████▊ | 59/75 [00:21<00:05, 2.71it/s] 80%|████████ | 60/75 [00:22<00:05, 2.71it/s] 81%|████████▏ | 61/75 [00:22<00:05, 2.70it/s] 83%|████████▎ | 62/75 [00:22<00:04, 2.70it/s] 84%|████████▍ | 63/75 [00:23<00:04, 2.70it/s] 85%|████████▌ | 64/75 [00:23<00:04, 2.70it/s] 87%|████████▋ | 65/75 [00:24<00:03, 2.70it/s] 88%|████████▊ | 66/75 [00:24<00:03, 2.71it/s] 89%|████████▉ | 67/75 [00:24<00:02, 2.70it/s] 91%|█████████ | 68/75 [00:25<00:02, 2.70it/s] 92%|█████████▏| 69/75 [00:25<00:02, 2.70it/s] 93%|█████████▎| 70/75 [00:25<00:01, 2.70it/s] 95%|█████████▍| 71/75 [00:26<00:01, 2.70it/s] 96%|█████████▌| 72/75 [00:26<00:01, 2.70it/s] 97%|█████████▋| 73/75 [00:26<00:00, 2.70it/s] 99%|█████████▊| 74/75 [00:27<00:00, 2.70it/s] 100%|██████████| 75/75 [00:27<00:00, 2.70it/s] 100%|██████████| 75/75 [00:27<00:00, 2.70it/s]
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