daanelson
/
mixture-of-diffusers
Generate an image by specifying a different text prompt for each region
Prediction
daanelson/mixture-of-diffusers:dfcf3eddIDv5ex5ly2brguxfsod54kdhmzquStatusSucceededSourceWebHardware–Total durationCreatedInput
- seed
- 7178915308
- prompts
- A charming house in the countryside, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;A dirt road in the countryside crossing pastures, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;An old and rusty giant robot lying on a dirt road, by jakub rozalski, dark sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece
- x0_values
- 0;384;768
- x1_values
- 640;1024;1408
- y0_values
- 0;0;0
- y1_values
- 640;640;640
- canvas_width
- 1408
- canvas_height
- 640
- num_inference_steps
- 50
{ "seed": 7178915308, "prompts": "A charming house in the countryside, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;A dirt road in the countryside crossing pastures, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;An old and rusty giant robot lying on a dirt road, by jakub rozalski, dark sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece", "x0_values": "0;384;768", "x1_values": "640;1024;1408", "y0_values": "0;0;0", "y1_values": "640;640;640", "canvas_width": 1408, "canvas_height": 640, "num_inference_steps": 50 }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 daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "daanelson/mixture-of-diffusers:dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", { input: { seed: 7178915308, prompts: "A charming house in the countryside, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;A dirt road in the countryside crossing pastures, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;An old and rusty giant robot lying on a dirt road, by jakub rozalski, dark sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece", x0_values: "0;384;768", x1_values: "640;1024;1408", y0_values: "0;0;0", y1_values: "640;640;640", canvas_width: 1408, canvas_height: 640, num_inference_steps: 50 } } ); 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 daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "daanelson/mixture-of-diffusers:dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", input={ "seed": 7178915308, "prompts": "A charming house in the countryside, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;A dirt road in the countryside crossing pastures, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;An old and rusty giant robot lying on a dirt road, by jakub rozalski, dark sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece", "x0_values": "0;384;768", "x1_values": "640;1024;1408", "y0_values": "0;0;0", "y1_values": "640;640;640", "canvas_width": 1408, "canvas_height": 640, "num_inference_steps": 50 } ) 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 daanelson/mixture-of-diffusers 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": "dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", "input": { "seed": 7178915308, "prompts": "A charming house in the countryside, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;A dirt road in the countryside crossing pastures, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;An old and rusty giant robot lying on a dirt road, by jakub rozalski, dark sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece", "x0_values": "0;384;768", "x1_values": "640;1024;1408", "y0_values": "0;0;0", "y1_values": "640;640;640", "canvas_width": 1408, "canvas_height": 640, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-02-16T17:01:10.855530Z", "created_at": "2023-02-16T16:54:59.549387Z", "data_removed": false, "error": null, "id": "v5ex5ly2brguxfsod54kdhmzqu", "input": { "seed": 7178915308, "prompts": "A charming house in the countryside, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;A dirt road in the countryside crossing pastures, by jakub rozalski, sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece;An old and rusty giant robot lying on a dirt road, by jakub rozalski, dark sunset lighting, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece", "x0_values": "0;384;768", "x1_values": "640;1024;1408", "y0_values": "0;0;0", "y1_values": "640;640;640", "canvas_width": 1408, "canvas_height": 640, "num_inference_steps": 50 }, "logs": "0it [00:00, ?it/s]\n1it [00:01, 1.91s/it]\n2it [00:02, 1.15s/it]\n3it [00:03, 1.10it/s]\n4it [00:03, 1.25it/s]\n5it [00:04, 1.36it/s]\n6it [00:05, 1.43it/s]\n7it [00:05, 1.48it/s]\n8it [00:06, 1.51it/s]\n9it [00:06, 1.54it/s]\n10it [00:07, 1.55it/s]\n11it [00:08, 1.57it/s]\n12it [00:08, 1.57it/s]\n13it [00:09, 1.58it/s]\n14it [00:10, 1.58it/s]\n15it [00:10, 1.59it/s]\n16it [00:11, 1.59it/s]\n17it [00:11, 1.59it/s]\n18it [00:12, 1.59it/s]\n19it [00:13, 1.59it/s]\n20it [00:13, 1.59it/s]\n21it [00:14, 1.59it/s]\n22it [00:15, 1.59it/s]\n23it [00:15, 1.59it/s]\n24it [00:16, 1.59it/s]\n25it [00:16, 1.59it/s]\n26it [00:17, 1.59it/s]\n27it [00:18, 1.59it/s]\n28it [00:18, 1.59it/s]\n29it [00:19, 1.59it/s]\n30it [00:20, 1.59it/s]\n31it [00:20, 1.59it/s]\n32it [00:21, 1.58it/s]\n33it [00:22, 1.58it/s]\n34it [00:22, 1.59it/s]\n35it [00:23, 1.59it/s]\n36it [00:23, 1.59it/s]\n37it [00:24, 1.59it/s]\n38it [00:25, 1.59it/s]\n39it [00:25, 1.59it/s]\n40it [00:26, 1.59it/s]\n41it [00:27, 1.58it/s]\n42it [00:27, 1.59it/s]\n43it [00:28, 1.59it/s]\n44it [00:28, 1.59it/s]\n45it [00:29, 1.59it/s]\n46it [00:30, 1.59it/s]\n47it [00:30, 1.59it/s]\n48it [00:31, 1.59it/s]\n49it [00:32, 1.59it/s]\n50it [00:32, 1.59it/s]\n50it [00:32, 1.53it/s]", "metrics": { "predict_time": 34.914437, "total_time": 371.306143 }, "output": "https://replicate.delivery/pbxt/maMGY0f0x23VTipund7VYq1HausehNgz1dIrIw7AmmwWNBfgA/output.png", "started_at": "2023-02-16T17:00:35.941093Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/v5ex5ly2brguxfsod54kdhmzqu", "cancel": "https://api.replicate.com/v1/predictions/v5ex5ly2brguxfsod54kdhmzqu/cancel" }, "version": "ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470a" }Generated in0it [00:00, ?it/s] 1it [00:01, 1.91s/it] 2it [00:02, 1.15s/it] 3it [00:03, 1.10it/s] 4it [00:03, 1.25it/s] 5it [00:04, 1.36it/s] 6it [00:05, 1.43it/s] 7it [00:05, 1.48it/s] 8it [00:06, 1.51it/s] 9it [00:06, 1.54it/s] 10it [00:07, 1.55it/s] 11it [00:08, 1.57it/s] 12it [00:08, 1.57it/s] 13it [00:09, 1.58it/s] 14it [00:10, 1.58it/s] 15it [00:10, 1.59it/s] 16it [00:11, 1.59it/s] 17it [00:11, 1.59it/s] 18it [00:12, 1.59it/s] 19it [00:13, 1.59it/s] 20it [00:13, 1.59it/s] 21it [00:14, 1.59it/s] 22it [00:15, 1.59it/s] 23it [00:15, 1.59it/s] 24it [00:16, 1.59it/s] 25it [00:16, 1.59it/s] 26it [00:17, 1.59it/s] 27it [00:18, 1.59it/s] 28it [00:18, 1.59it/s] 29it [00:19, 1.59it/s] 30it [00:20, 1.59it/s] 31it [00:20, 1.59it/s] 32it [00:21, 1.58it/s] 33it [00:22, 1.58it/s] 34it [00:22, 1.59it/s] 35it [00:23, 1.59it/s] 36it [00:23, 1.59it/s] 37it [00:24, 1.59it/s] 38it [00:25, 1.59it/s] 39it [00:25, 1.59it/s] 40it [00:26, 1.59it/s] 41it [00:27, 1.58it/s] 42it [00:27, 1.59it/s] 43it [00:28, 1.59it/s] 44it [00:28, 1.59it/s] 45it [00:29, 1.59it/s] 46it [00:30, 1.59it/s] 47it [00:30, 1.59it/s] 48it [00:31, 1.59it/s] 49it [00:32, 1.59it/s] 50it [00:32, 1.59it/s] 50it [00:32, 1.53it/s]Prediction
daanelson/mixture-of-diffusers:dfcf3eddIDdufslsbkyjglpajki5ywrsehlqStatusSucceededSourceWebHardware–Total durationCreatedInput
- seed
- 639688656
- prompts
- a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors
- x0_values
- 0;256;512;768;1024
- x1_values
- 512;768;1024;1280;1536
- y0_values
- 0;0;0;0;0
- y1_values
- 768;768;768;768;768
- canvas_width
- 1536
- canvas_height
- 768
- num_inference_steps
- 50
{ "seed": 639688656, "prompts": "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors", "x0_values": "0;256;512;768;1024", "x1_values": "512;768;1024;1280;1536", "y0_values": "0;0;0;0;0", "y1_values": "768;768;768;768;768", "canvas_width": 1536, "canvas_height": 768, "num_inference_steps": 50 }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 daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "daanelson/mixture-of-diffusers:dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", { input: { seed: 639688656, prompts: "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors", x0_values: "0;256;512;768;1024", x1_values: "512;768;1024;1280;1536", y0_values: "0;0;0;0;0", y1_values: "768;768;768;768;768", canvas_width: 1536, canvas_height: 768, num_inference_steps: 50 } } ); 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 daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "daanelson/mixture-of-diffusers:dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", input={ "seed": 639688656, "prompts": "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors", "x0_values": "0;256;512;768;1024", "x1_values": "512;768;1024;1280;1536", "y0_values": "0;0;0;0;0", "y1_values": "768;768;768;768;768", "canvas_width": 1536, "canvas_height": 768, "num_inference_steps": 50 } ) 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 daanelson/mixture-of-diffusers 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": "dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", "input": { "seed": 639688656, "prompts": "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors", "x0_values": "0;256;512;768;1024", "x1_values": "512;768;1024;1280;1536", "y0_values": "0;0;0;0;0", "y1_values": "768;768;768;768;768", "canvas_width": 1536, "canvas_height": 768, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-02-16T17:23:30.547512Z", "created_at": "2023-02-16T17:22:39.887674Z", "data_removed": false, "error": null, "id": "dufslsbkyjglpajki5ywrsehlq", "input": { "seed": 639688656, "prompts": "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors", "x0_values": "0;256;512;768;1024", "x1_values": "512;768;1024;1280;1536", "y0_values": "0;0;0;0;0", "y1_values": "768;768;768;768;768", "canvas_width": 1536, "canvas_height": 768, "num_inference_steps": 50 }, "logs": "0it [00:00, ?it/s]\n1it [00:01, 1.00s/it]\n2it [00:01, 1.02it/s]\n3it [00:02, 1.02it/s]\n4it [00:03, 1.02it/s]\n5it [00:04, 1.02it/s]\n6it [00:05, 1.02it/s]\n7it [00:06, 1.02it/s]\n8it [00:07, 1.02it/s]\n9it [00:08, 1.02it/s]\n10it [00:09, 1.02it/s]\n11it [00:10, 1.02it/s]\n12it [00:11, 1.02it/s]\n13it [00:12, 1.02it/s]\n14it [00:13, 1.02it/s]\n15it [00:14, 1.02it/s]\n16it [00:15, 1.02it/s]\n17it [00:16, 1.02it/s]\n18it [00:17, 1.02it/s]\n19it [00:18, 1.02it/s]\n20it [00:19, 1.02it/s]\n21it [00:20, 1.02it/s]\n22it [00:21, 1.02it/s]\n23it [00:22, 1.02it/s]\n24it [00:23, 1.02it/s]\n25it [00:24, 1.02it/s]\n26it [00:25, 1.02it/s]\n27it [00:26, 1.02it/s]\n28it [00:27, 1.02it/s]\n29it [00:28, 1.02it/s]\n30it [00:29, 1.02it/s]\n31it [00:30, 1.02it/s]\n32it [00:31, 1.02it/s]\n33it [00:32, 1.02it/s]\n34it [00:33, 1.02it/s]\n35it [00:34, 1.02it/s]\n36it [00:35, 1.02it/s]\n37it [00:36, 1.02it/s]\n38it [00:37, 1.02it/s]\n39it [00:38, 1.02it/s]\n40it [00:39, 1.02it/s]\n41it [00:40, 1.02it/s]\n42it [00:41, 1.02it/s]\n43it [00:42, 1.02it/s]\n44it [00:43, 1.02it/s]\n45it [00:44, 1.02it/s]\n46it [00:45, 1.02it/s]\n47it [00:46, 1.02it/s]\n48it [00:47, 1.02it/s]\n49it [00:48, 1.02it/s]\n50it [00:49, 1.02it/s]\n50it [00:49, 1.02it/s]", "metrics": { "predict_time": 50.59424, "total_time": 50.659838 }, "output": "https://replicate.delivery/pbxt/3X4nXRmoVOZ9CBOC8e6b3KADCfrPro4998kt9hMpF6bRiBfgA/output.png", "started_at": "2023-02-16T17:22:39.953272Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/dufslsbkyjglpajki5ywrsehlq", "cancel": "https://api.replicate.com/v1/predictions/dufslsbkyjglpajki5ywrsehlq/cancel" }, "version": "ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470a" }Generated in0it [00:00, ?it/s] 1it [00:01, 1.00s/it] 2it [00:01, 1.02it/s] 3it [00:02, 1.02it/s] 4it [00:03, 1.02it/s] 5it [00:04, 1.02it/s] 6it [00:05, 1.02it/s] 7it [00:06, 1.02it/s] 8it [00:07, 1.02it/s] 9it [00:08, 1.02it/s] 10it [00:09, 1.02it/s] 11it [00:10, 1.02it/s] 12it [00:11, 1.02it/s] 13it [00:12, 1.02it/s] 14it [00:13, 1.02it/s] 15it [00:14, 1.02it/s] 16it [00:15, 1.02it/s] 17it [00:16, 1.02it/s] 18it [00:17, 1.02it/s] 19it [00:18, 1.02it/s] 20it [00:19, 1.02it/s] 21it [00:20, 1.02it/s] 22it [00:21, 1.02it/s] 23it [00:22, 1.02it/s] 24it [00:23, 1.02it/s] 25it [00:24, 1.02it/s] 26it [00:25, 1.02it/s] 27it [00:26, 1.02it/s] 28it [00:27, 1.02it/s] 29it [00:28, 1.02it/s] 30it [00:29, 1.02it/s] 31it [00:30, 1.02it/s] 32it [00:31, 1.02it/s] 33it [00:32, 1.02it/s] 34it [00:33, 1.02it/s] 35it [00:34, 1.02it/s] 36it [00:35, 1.02it/s] 37it [00:36, 1.02it/s] 38it [00:37, 1.02it/s] 39it [00:38, 1.02it/s] 40it [00:39, 1.02it/s] 41it [00:40, 1.02it/s] 42it [00:41, 1.02it/s] 43it [00:42, 1.02it/s] 44it [00:43, 1.02it/s] 45it [00:44, 1.02it/s] 46it [00:45, 1.02it/s] 47it [00:46, 1.02it/s] 48it [00:47, 1.02it/s] 49it [00:48, 1.02it/s] 50it [00:49, 1.02it/s] 50it [00:49, 1.02it/s]Prediction
daanelson/mixture-of-diffusers:dfcf3eddIDwmkujyt66vbybhpxzc27qacg4uStatusSucceededSourceWebHardware–Total durationCreatedInput
- seed
- 639688656
- prompts
- 'a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors'
- x0_values
- 0;256;512;768;1024;1280;1536;1792;2048;2304
- x1_values
- 512;768;1024;1280;1536;1792;2048;2304;2560;2816
- y0_values
- 0;0;0;0;0;0;0;0;0;0
- y1_values
- 768;768;768;768;768;768;768;768;768;768
- canvas_width
- 2816
- canvas_height
- 768
- num_inference_steps
- 50
{ "seed": 639688656, "prompts": "'a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors'", "x0_values": "0;256;512;768;1024;1280;1536;1792;2048;2304", "x1_values": "512;768;1024;1280;1536;1792;2048;2304;2560;2816", "y0_values": "0;0;0;0;0;0;0;0;0;0", "y1_values": "768;768;768;768;768;768;768;768;768;768", "canvas_width": 2816, "canvas_height": 768, "num_inference_steps": 50 }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 daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "daanelson/mixture-of-diffusers:dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", { input: { seed: 639688656, prompts: "'a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors'", x0_values: "0;256;512;768;1024;1280;1536;1792;2048;2304", x1_values: "512;768;1024;1280;1536;1792;2048;2304;2560;2816", y0_values: "0;0;0;0;0;0;0;0;0;0", y1_values: "768;768;768;768;768;768;768;768;768;768", canvas_width: 2816, canvas_height: 768, num_inference_steps: 50 } } ); 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 daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "daanelson/mixture-of-diffusers:dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", input={ "seed": 639688656, "prompts": "'a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors'", "x0_values": "0;256;512;768;1024;1280;1536;1792;2048;2304", "x1_values": "512;768;1024;1280;1536;1792;2048;2304;2560;2816", "y0_values": "0;0;0;0;0;0;0;0;0;0", "y1_values": "768;768;768;768;768;768;768;768;768;768", "canvas_width": 2816, "canvas_height": 768, "num_inference_steps": 50 } ) 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 daanelson/mixture-of-diffusers 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": "dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", "input": { "seed": 639688656, "prompts": "\'a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors\'", "x0_values": "0;256;512;768;1024;1280;1536;1792;2048;2304", "x1_values": "512;768;1024;1280;1536;1792;2048;2304;2560;2816", "y0_values": "0;0;0;0;0;0;0;0;0;0", "y1_values": "768;768;768;768;768;768;768;768;768;768", "canvas_width": 2816, "canvas_height": 768, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-02-16T17:49:14.961825Z", "created_at": "2023-02-16T17:47:35.201982Z", "data_removed": false, "error": null, "id": "wmkujyt66vbybhpxzc27qacg4u", "input": { "seed": 639688656, "prompts": "'a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors'", "x0_values": "0;256;512;768;1024;1280;1536;1792;2048;2304", "x1_values": "512;768;1024;1280;1536;1792;2048;2304;2560;2816", "y0_values": "0;0;0;0;0;0;0;0;0;0", "y1_values": "768;768;768;768;768;768;768;768;768;768", "canvas_width": 2816, "canvas_height": 768, "num_inference_steps": 50 }, "logs": "0it [00:00, ?it/s]\n1it [00:01, 1.96s/it]\n2it [00:03, 1.94s/it]\n3it [00:05, 1.94s/it]\n4it [00:07, 1.95s/it]\n5it [00:09, 1.95s/it]\n6it [00:11, 1.95s/it]\n7it [00:13, 1.95s/it]\n8it [00:15, 1.95s/it]\n9it [00:17, 1.95s/it]\n10it [00:19, 1.95s/it]\n11it [00:21, 1.95s/it]\n12it [00:23, 1.95s/it]\n13it [00:25, 1.95s/it]\n14it [00:27, 1.95s/it]\n15it [00:29, 1.95s/it]\n16it [00:31, 1.95s/it]\n17it [00:33, 1.95s/it]\n18it [00:35, 1.95s/it]\n19it [00:37, 1.95s/it]\n20it [00:39, 1.95s/it]\n21it [00:40, 1.95s/it]\n22it [00:42, 1.95s/it]\n23it [00:44, 1.95s/it]\n24it [00:46, 1.95s/it]\n25it [00:48, 1.95s/it]\n26it [00:50, 1.95s/it]\n27it [00:52, 1.95s/it]\n28it [00:54, 1.95s/it]\n29it [00:56, 1.95s/it]\n30it [00:58, 1.95s/it]\n31it [01:00, 1.95s/it]\n32it [01:02, 1.95s/it]\n33it [01:04, 1.95s/it]\n34it [01:06, 1.95s/it]\n35it [01:08, 1.95s/it]\n36it [01:10, 1.95s/it]\n37it [01:12, 1.95s/it]\n38it [01:14, 1.95s/it]\n39it [01:15, 1.95s/it]\n40it [01:17, 1.95s/it]\n41it [01:19, 1.95s/it]\n42it [01:21, 1.95s/it]\n43it [01:23, 1.95s/it]\n44it [01:25, 1.95s/it]\n45it [01:27, 1.95s/it]\n46it [01:29, 1.95s/it]\n47it [01:31, 1.95s/it]\n48it [01:33, 1.95s/it]\n49it [01:35, 1.95s/it]\n50it [01:37, 1.95s/it]\n50it [01:37, 1.95s/it]", "metrics": { "predict_time": 99.697506, "total_time": 99.759843 }, "output": "https://replicate.delivery/pbxt/cVOOGtkLAjpzNhFhVQjwmFeQJJVpo9BWBk47VahYuKEN9gPIA/output.png", "started_at": "2023-02-16T17:47:35.264319Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wmkujyt66vbybhpxzc27qacg4u", "cancel": "https://api.replicate.com/v1/predictions/wmkujyt66vbybhpxzc27qacg4u/cancel" }, "version": "ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470a" }Generated in0it [00:00, ?it/s] 1it [00:01, 1.96s/it] 2it [00:03, 1.94s/it] 3it [00:05, 1.94s/it] 4it [00:07, 1.95s/it] 5it [00:09, 1.95s/it] 6it [00:11, 1.95s/it] 7it [00:13, 1.95s/it] 8it [00:15, 1.95s/it] 9it [00:17, 1.95s/it] 10it [00:19, 1.95s/it] 11it [00:21, 1.95s/it] 12it [00:23, 1.95s/it] 13it [00:25, 1.95s/it] 14it [00:27, 1.95s/it] 15it [00:29, 1.95s/it] 16it [00:31, 1.95s/it] 17it [00:33, 1.95s/it] 18it [00:35, 1.95s/it] 19it [00:37, 1.95s/it] 20it [00:39, 1.95s/it] 21it [00:40, 1.95s/it] 22it [00:42, 1.95s/it] 23it [00:44, 1.95s/it] 24it [00:46, 1.95s/it] 25it [00:48, 1.95s/it] 26it [00:50, 1.95s/it] 27it [00:52, 1.95s/it] 28it [00:54, 1.95s/it] 29it [00:56, 1.95s/it] 30it [00:58, 1.95s/it] 31it [01:00, 1.95s/it] 32it [01:02, 1.95s/it] 33it [01:04, 1.95s/it] 34it [01:06, 1.95s/it] 35it [01:08, 1.95s/it] 36it [01:10, 1.95s/it] 37it [01:12, 1.95s/it] 38it [01:14, 1.95s/it] 39it [01:15, 1.95s/it] 40it [01:17, 1.95s/it] 41it [01:19, 1.95s/it] 42it [01:21, 1.95s/it] 43it [01:23, 1.95s/it] 44it [01:25, 1.95s/it] 45it [01:27, 1.95s/it] 46it [01:29, 1.95s/it] 47it [01:31, 1.95s/it] 48it [01:33, 1.95s/it] 49it [01:35, 1.95s/it] 50it [01:37, 1.95s/it] 50it [01:37, 1.95s/it]Prediction
daanelson/mixture-of-diffusers:dfcf3eddIDdpo5eoejdrgonddju36lggrudeStatusSucceededSourceWebHardware–Total durationCreatedInput
- seed
- 5
- prompts
- A photo of a dog;A photo of a cat
- x0_values
- 0;384
- x1_values
- 640;1024
- y0_values
- 0;0
- y1_values
- 512;512
- canvas_width
- 1024
- canvas_height
- 512
- num_inference_steps
- 50
{ "seed": 5, "prompts": "A photo of a dog;A photo of a cat", "x0_values": "0;384", "x1_values": "640;1024", "y0_values": "0;0", "y1_values": "512;512", "canvas_width": 1024, "canvas_height": 512, "num_inference_steps": 50 }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 daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "daanelson/mixture-of-diffusers:dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", { input: { seed: 5, prompts: "A photo of a dog;A photo of a cat", x0_values: "0;384", x1_values: "640;1024", y0_values: "0;0", y1_values: "512;512", canvas_width: 1024, canvas_height: 512, num_inference_steps: 50 } } ); 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 daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "daanelson/mixture-of-diffusers:dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", input={ "seed": 5, "prompts": "A photo of a dog;A photo of a cat", "x0_values": "0;384", "x1_values": "640;1024", "y0_values": "0;0", "y1_values": "512;512", "canvas_width": 1024, "canvas_height": 512, "num_inference_steps": 50 } ) 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 daanelson/mixture-of-diffusers 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": "dfcf3eddb4eee243a51ab1029d69766171628e6881428564649cf23b7c22736a", "input": { "seed": 5, "prompts": "A photo of a dog;A photo of a cat", "x0_values": "0;384", "x1_values": "640;1024", "y0_values": "0;0", "y1_values": "512;512", "canvas_width": 1024, "canvas_height": 512, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-02-16T17:52:57.757437Z", "created_at": "2023-02-16T17:52:41.127919Z", "data_removed": false, "error": null, "id": "dpo5eoejdrgonddju36lggrude", "input": { "seed": 5, "prompts": "A photo of a dog;A photo of a cat", "x0_values": "0;384", "x1_values": "640;1024", "y0_values": "0;0", "y1_values": "512;512", "canvas_width": 1024, "canvas_height": 512, "num_inference_steps": 50 }, "logs": "0it [00:00, ?it/s]\n1it [00:00, 2.89it/s]\n2it [00:00, 3.15it/s]\n3it [00:00, 3.22it/s]\n4it [00:01, 3.22it/s]\n5it [00:01, 3.22it/s]\n6it [00:01, 3.23it/s]\n7it [00:02, 3.22it/s]\n8it [00:02, 3.23it/s]\n9it [00:02, 3.23it/s]\n10it [00:03, 3.23it/s]\n11it [00:03, 3.23it/s]\n12it [00:03, 3.23it/s]\n13it [00:04, 3.23it/s]\n14it [00:04, 3.23it/s]\n15it [00:04, 3.24it/s]\n16it [00:04, 3.23it/s]\n17it [00:05, 3.21it/s]\n18it [00:05, 3.22it/s]\n19it [00:05, 3.23it/s]\n20it [00:06, 3.23it/s]\n21it [00:06, 3.23it/s]\n22it [00:06, 3.23it/s]\n23it [00:07, 3.23it/s]\n24it [00:07, 3.23it/s]\n25it [00:07, 3.23it/s]\n26it [00:08, 3.23it/s]\n27it [00:08, 3.23it/s]\n28it [00:08, 3.23it/s]\n29it [00:08, 3.23it/s]\n30it [00:09, 3.23it/s]\n31it [00:09, 3.23it/s]\n32it [00:09, 3.23it/s]\n33it [00:10, 3.23it/s]\n34it [00:10, 3.23it/s]\n35it [00:10, 3.23it/s]\n36it [00:11, 3.23it/s]\n37it [00:11, 3.23it/s]\n38it [00:11, 3.23it/s]\n39it [00:12, 3.23it/s]\n40it [00:12, 3.23it/s]\n41it [00:12, 3.23it/s]\n42it [00:13, 3.23it/s]\n43it [00:13, 3.23it/s]\n44it [00:13, 3.23it/s]\n45it [00:13, 3.23it/s]\n46it [00:14, 3.23it/s]\n47it [00:14, 3.23it/s]\n48it [00:14, 3.23it/s]\n49it [00:15, 3.23it/s]\n50it [00:15, 3.23it/s]\n50it [00:15, 3.23it/s]", "metrics": { "predict_time": 16.569247, "total_time": 16.629518 }, "output": "https://replicate.delivery/pbxt/q1ie7mqwDdwlRyqcaAfOhxQfEMuNzPSm1hDL1v8heFdl3H8BB/output.png", "started_at": "2023-02-16T17:52:41.188190Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/dpo5eoejdrgonddju36lggrude", "cancel": "https://api.replicate.com/v1/predictions/dpo5eoejdrgonddju36lggrude/cancel" }, "version": "ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470a" }Generated in0it [00:00, ?it/s] 1it [00:00, 2.89it/s] 2it [00:00, 3.15it/s] 3it [00:00, 3.22it/s] 4it [00:01, 3.22it/s] 5it [00:01, 3.22it/s] 6it [00:01, 3.23it/s] 7it [00:02, 3.22it/s] 8it [00:02, 3.23it/s] 9it [00:02, 3.23it/s] 10it [00:03, 3.23it/s] 11it [00:03, 3.23it/s] 12it [00:03, 3.23it/s] 13it [00:04, 3.23it/s] 14it [00:04, 3.23it/s] 15it [00:04, 3.24it/s] 16it [00:04, 3.23it/s] 17it [00:05, 3.21it/s] 18it [00:05, 3.22it/s] 19it [00:05, 3.23it/s] 20it [00:06, 3.23it/s] 21it [00:06, 3.23it/s] 22it [00:06, 3.23it/s] 23it [00:07, 3.23it/s] 24it [00:07, 3.23it/s] 25it [00:07, 3.23it/s] 26it [00:08, 3.23it/s] 27it [00:08, 3.23it/s] 28it [00:08, 3.23it/s] 29it [00:08, 3.23it/s] 30it [00:09, 3.23it/s] 31it [00:09, 3.23it/s] 32it [00:09, 3.23it/s] 33it [00:10, 3.23it/s] 34it [00:10, 3.23it/s] 35it [00:10, 3.23it/s] 36it [00:11, 3.23it/s] 37it [00:11, 3.23it/s] 38it [00:11, 3.23it/s] 39it [00:12, 3.23it/s] 40it [00:12, 3.23it/s] 41it [00:12, 3.23it/s] 42it [00:13, 3.23it/s] 43it [00:13, 3.23it/s] 44it [00:13, 3.23it/s] 45it [00:13, 3.23it/s] 46it [00:14, 3.23it/s] 47it [00:14, 3.23it/s] 48it [00:14, 3.23it/s] 49it [00:15, 3.23it/s] 50it [00:15, 3.23it/s] 50it [00:15, 3.23it/s]
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