lucataco / realvisxl-v1.0
Implementation of SDXL RealVisXL_V1.0
Prediction
lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833IDyekmkfjbvlxgbbyzpfbmu6zdriStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 4271781772
- width
- 1024
- height
- 1024
- prompt
- dark shot, photo of cute 24 y.o blonde woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows
- scheduler
- DPMSolverMultistep
- guidance_scale
- 7
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
- num_inference_steps
- 40
{ "seed": 4271781772, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o blonde woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run lucataco/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", { input: { seed: 4271781772, width: 1024, height: 1024, prompt: "dark shot, photo of cute 24 y.o blonde woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", scheduler: "DPMSolverMultistep", guidance_scale: 7, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", num_inference_steps: 40 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", input={ "seed": 4271781772, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o blonde woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/realvisxl-v1.0 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": "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", "input": { "seed": 4271781772, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o blonde woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-13T02:34:56.883196Z", "created_at": "2023-09-13T02:33:13.222062Z", "data_removed": false, "error": null, "id": "yekmkfjbvlxgbbyzpfbmu6zdri", "input": { "seed": 4271781772, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o blonde woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 }, "logs": "Using seed: 4271781772\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:01<00:59, 1.53s/it]\n 5%|▌ | 2/40 [00:01<00:26, 1.41it/s]\n 8%|▊ | 3/40 [00:01<00:16, 2.27it/s]\n 10%|█ | 4/40 [00:01<00:11, 3.20it/s]\n 12%|█▎ | 5/40 [00:02<00:08, 4.14it/s]\n 15%|█▌ | 6/40 [00:02<00:06, 5.00it/s]\n 18%|█▊ | 7/40 [00:02<00:05, 5.76it/s]\n 20%|██ | 8/40 [00:02<00:04, 6.43it/s]\n 22%|██▎ | 9/40 [00:02<00:04, 6.98it/s]\n 25%|██▌ | 10/40 [00:02<00:04, 7.30it/s]\n 28%|██▊ | 11/40 [00:02<00:03, 7.56it/s]\n 30%|███ | 12/40 [00:02<00:03, 7.85it/s]\n 32%|███▎ | 13/40 [00:02<00:03, 8.07it/s]\n 35%|███▌ | 14/40 [00:03<00:03, 8.18it/s]\n 38%|███▊ | 15/40 [00:03<00:03, 8.28it/s]\n 40%|████ | 16/40 [00:03<00:02, 8.36it/s]\n 42%|████▎ | 17/40 [00:03<00:02, 8.41it/s]\n 45%|████▌ | 18/40 [00:03<00:02, 8.44it/s]\n 48%|████▊ | 19/40 [00:03<00:02, 8.12it/s]\n 50%|█████ | 20/40 [00:03<00:02, 8.17it/s]\n 52%|█████▎ | 21/40 [00:03<00:02, 8.26it/s]\n 55%|█████▌ | 22/40 [00:04<00:02, 8.36it/s]\n 57%|█████▊ | 23/40 [00:04<00:02, 8.43it/s]\n 60%|██████ | 24/40 [00:04<00:01, 8.47it/s]\n 62%|██████▎ | 25/40 [00:04<00:01, 8.51it/s]\n 65%|██████▌ | 26/40 [00:04<00:01, 8.54it/s]\n 68%|██████▊ | 27/40 [00:04<00:01, 8.55it/s]\n 70%|███████ | 28/40 [00:04<00:01, 7.86it/s]\n 72%|███████▎ | 29/40 [00:04<00:01, 8.06it/s]\n 75%|███████▌ | 30/40 [00:05<00:01, 8.14it/s]\n 78%|███████▊ | 31/40 [00:05<00:01, 8.25it/s]\n 80%|████████ | 32/40 [00:05<00:00, 8.35it/s]\n 82%|████████▎ | 33/40 [00:05<00:00, 8.43it/s]\n 85%|████████▌ | 34/40 [00:05<00:00, 8.46it/s]\n 88%|████████▊ | 35/40 [00:05<00:00, 8.50it/s]\n 90%|█████████ | 36/40 [00:05<00:00, 8.18it/s]\n 92%|█████████▎| 37/40 [00:05<00:00, 8.26it/s]\n 95%|█████████▌| 38/40 [00:05<00:00, 8.36it/s]\n 98%|█████████▊| 39/40 [00:06<00:00, 8.43it/s]\n100%|██████████| 40/40 [00:06<00:00, 8.48it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.46it/s]", "metrics": { "predict_time": 8.983045, "total_time": 103.661134 }, "output": "https://replicate.delivery/pbxt/5TK7ri1yOyJ9LdbLLFPyqimVmrNfKcUFetmTurZBMTmQHtjRA/output.png", "started_at": "2023-09-13T02:34:47.900151Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/yekmkfjbvlxgbbyzpfbmu6zdri", "cancel": "https://api.replicate.com/v1/predictions/yekmkfjbvlxgbbyzpfbmu6zdri/cancel" }, "version": "b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833" }Generated inUsing seed: 4271781772 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:59, 1.53s/it] 5%|▌ | 2/40 [00:01<00:26, 1.41it/s] 8%|▊ | 3/40 [00:01<00:16, 2.27it/s] 10%|█ | 4/40 [00:01<00:11, 3.20it/s] 12%|█▎ | 5/40 [00:02<00:08, 4.14it/s] 15%|█▌ | 6/40 [00:02<00:06, 5.00it/s] 18%|█▊ | 7/40 [00:02<00:05, 5.76it/s] 20%|██ | 8/40 [00:02<00:04, 6.43it/s] 22%|██▎ | 9/40 [00:02<00:04, 6.98it/s] 25%|██▌ | 10/40 [00:02<00:04, 7.30it/s] 28%|██▊ | 11/40 [00:02<00:03, 7.56it/s] 30%|███ | 12/40 [00:02<00:03, 7.85it/s] 32%|███▎ | 13/40 [00:02<00:03, 8.07it/s] 35%|███▌ | 14/40 [00:03<00:03, 8.18it/s] 38%|███▊ | 15/40 [00:03<00:03, 8.28it/s] 40%|████ | 16/40 [00:03<00:02, 8.36it/s] 42%|████▎ | 17/40 [00:03<00:02, 8.41it/s] 45%|████▌ | 18/40 [00:03<00:02, 8.44it/s] 48%|████▊ | 19/40 [00:03<00:02, 8.12it/s] 50%|█████ | 20/40 [00:03<00:02, 8.17it/s] 52%|█████▎ | 21/40 [00:03<00:02, 8.26it/s] 55%|█████▌ | 22/40 [00:04<00:02, 8.36it/s] 57%|█████▊ | 23/40 [00:04<00:02, 8.43it/s] 60%|██████ | 24/40 [00:04<00:01, 8.47it/s] 62%|██████▎ | 25/40 [00:04<00:01, 8.51it/s] 65%|██████▌ | 26/40 [00:04<00:01, 8.54it/s] 68%|██████▊ | 27/40 [00:04<00:01, 8.55it/s] 70%|███████ | 28/40 [00:04<00:01, 7.86it/s] 72%|███████▎ | 29/40 [00:04<00:01, 8.06it/s] 75%|███████▌ | 30/40 [00:05<00:01, 8.14it/s] 78%|███████▊ | 31/40 [00:05<00:01, 8.25it/s] 80%|████████ | 32/40 [00:05<00:00, 8.35it/s] 82%|████████▎ | 33/40 [00:05<00:00, 8.43it/s] 85%|████████▌ | 34/40 [00:05<00:00, 8.46it/s] 88%|████████▊ | 35/40 [00:05<00:00, 8.50it/s] 90%|█████████ | 36/40 [00:05<00:00, 8.18it/s] 92%|█████████▎| 37/40 [00:05<00:00, 8.26it/s] 95%|█████████▌| 38/40 [00:05<00:00, 8.36it/s] 98%|█████████▊| 39/40 [00:06<00:00, 8.43it/s] 100%|██████████| 40/40 [00:06<00:00, 8.48it/s] 100%|██████████| 40/40 [00:06<00:00, 6.46it/s]Prediction
lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833ID2lvetozbra2zuuamaqwrvabvmuStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedby @lucatacoInput
- seed
- 2265984758
- width
- 1024
- height
- 1024
- prompt
- dark shot, high detailed photo of woman eye, perfect eye
- scheduler
- DPMSolverMultistep
- guidance_scale
- 7
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
- num_inference_steps
- 40
{ "seed": 2265984758, "width": 1024, "height": 1024, "prompt": "dark shot, high detailed photo of woman eye, perfect eye", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run lucataco/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", { input: { seed: 2265984758, width: 1024, height: 1024, prompt: "dark shot, high detailed photo of woman eye, perfect eye", scheduler: "DPMSolverMultistep", guidance_scale: 7, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", num_inference_steps: 40 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", input={ "seed": 2265984758, "width": 1024, "height": 1024, "prompt": "dark shot, high detailed photo of woman eye, perfect eye", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/realvisxl-v1.0 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": "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", "input": { "seed": 2265984758, "width": 1024, "height": 1024, "prompt": "dark shot, high detailed photo of woman eye, perfect eye", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-13T02:35:16.119731Z", "created_at": "2023-09-13T02:35:09.826716Z", "data_removed": false, "error": null, "id": "2lvetozbra2zuuamaqwrvabvmu", "input": { "seed": 2265984758, "width": 1024, "height": 1024, "prompt": "dark shot, high detailed photo of woman eye, perfect eye", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 }, "logs": "Using seed: 2265984758\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.34it/s]\n 5%|▌ | 2/40 [00:00<00:04, 8.03it/s]\n 8%|▊ | 3/40 [00:00<00:04, 8.14it/s]\n 10%|█ | 4/40 [00:00<00:04, 8.29it/s]\n 12%|█▎ | 5/40 [00:00<00:04, 8.36it/s]\n 15%|█▌ | 6/40 [00:00<00:04, 8.39it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 8.46it/s]\n 20%|██ | 8/40 [00:00<00:03, 8.48it/s]\n 22%|██▎ | 9/40 [00:01<00:03, 8.52it/s]\n 25%|██▌ | 10/40 [00:01<00:03, 8.55it/s]\n 28%|██▊ | 11/40 [00:01<00:03, 8.57it/s]\n 30%|███ | 12/40 [00:01<00:03, 8.44it/s]\n 32%|███▎ | 13/40 [00:01<00:03, 8.49it/s]\n 35%|███▌ | 14/40 [00:01<00:03, 8.53it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 8.55it/s]\n 40%|████ | 16/40 [00:01<00:02, 8.57it/s]\n 42%|████▎ | 17/40 [00:02<00:02, 8.51it/s]\n 45%|████▌ | 18/40 [00:02<00:02, 8.54it/s]\n 48%|████▊ | 19/40 [00:02<00:02, 8.57it/s]\n 50%|█████ | 20/40 [00:02<00:02, 8.50it/s]\n 52%|█████▎ | 21/40 [00:02<00:02, 8.53it/s]\n 55%|█████▌ | 22/40 [00:02<00:02, 8.55it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 8.57it/s]\n 60%|██████ | 24/40 [00:02<00:01, 8.59it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 8.60it/s]\n 65%|██████▌ | 26/40 [00:03<00:01, 8.58it/s]\n 68%|██████▊ | 27/40 [00:03<00:01, 8.59it/s]\n 70%|███████ | 28/40 [00:03<00:01, 8.60it/s]\n 72%|███████▎ | 29/40 [00:03<00:01, 8.11it/s]\n 75%|███████▌ | 30/40 [00:03<00:01, 8.07it/s]\n 78%|███████▊ | 31/40 [00:03<00:01, 8.23it/s]\n 80%|████████ | 32/40 [00:03<00:00, 8.34it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 8.43it/s]\n 85%|████████▌ | 34/40 [00:04<00:00, 8.41it/s]\n 88%|████████▊ | 35/40 [00:04<00:00, 8.47it/s]\n 90%|█████████ | 36/40 [00:04<00:00, 8.51it/s]\n 92%|█████████▎| 37/40 [00:04<00:00, 8.55it/s]\n 95%|█████████▌| 38/40 [00:04<00:00, 8.54it/s]\n 98%|█████████▊| 39/40 [00:04<00:00, 8.56it/s]\n100%|██████████| 40/40 [00:04<00:00, 8.58it/s]\n100%|██████████| 40/40 [00:04<00:00, 8.46it/s]", "metrics": { "predict_time": 6.322906, "total_time": 6.293015 }, "output": "https://replicate.delivery/pbxt/CaKDyRxJUDofdCSUXRyfjHHkyO74YVjh9Vuvq8EffX5MeodMC/output.png", "started_at": "2023-09-13T02:35:09.796825Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2lvetozbra2zuuamaqwrvabvmu", "cancel": "https://api.replicate.com/v1/predictions/2lvetozbra2zuuamaqwrvabvmu/cancel" }, "version": "b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833" }Generated inUsing seed: 2265984758 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.34it/s] 5%|▌ | 2/40 [00:00<00:04, 8.03it/s] 8%|▊ | 3/40 [00:00<00:04, 8.14it/s] 10%|█ | 4/40 [00:00<00:04, 8.29it/s] 12%|█▎ | 5/40 [00:00<00:04, 8.36it/s] 15%|█▌ | 6/40 [00:00<00:04, 8.39it/s] 18%|█▊ | 7/40 [00:00<00:03, 8.46it/s] 20%|██ | 8/40 [00:00<00:03, 8.48it/s] 22%|██▎ | 9/40 [00:01<00:03, 8.52it/s] 25%|██▌ | 10/40 [00:01<00:03, 8.55it/s] 28%|██▊ | 11/40 [00:01<00:03, 8.57it/s] 30%|███ | 12/40 [00:01<00:03, 8.44it/s] 32%|███▎ | 13/40 [00:01<00:03, 8.49it/s] 35%|███▌ | 14/40 [00:01<00:03, 8.53it/s] 38%|███▊ | 15/40 [00:01<00:02, 8.55it/s] 40%|████ | 16/40 [00:01<00:02, 8.57it/s] 42%|████▎ | 17/40 [00:02<00:02, 8.51it/s] 45%|████▌ | 18/40 [00:02<00:02, 8.54it/s] 48%|████▊ | 19/40 [00:02<00:02, 8.57it/s] 50%|█████ | 20/40 [00:02<00:02, 8.50it/s] 52%|█████▎ | 21/40 [00:02<00:02, 8.53it/s] 55%|█████▌ | 22/40 [00:02<00:02, 8.55it/s] 57%|█████▊ | 23/40 [00:02<00:01, 8.57it/s] 60%|██████ | 24/40 [00:02<00:01, 8.59it/s] 62%|██████▎ | 25/40 [00:02<00:01, 8.60it/s] 65%|██████▌ | 26/40 [00:03<00:01, 8.58it/s] 68%|██████▊ | 27/40 [00:03<00:01, 8.59it/s] 70%|███████ | 28/40 [00:03<00:01, 8.60it/s] 72%|███████▎ | 29/40 [00:03<00:01, 8.11it/s] 75%|███████▌ | 30/40 [00:03<00:01, 8.07it/s] 78%|███████▊ | 31/40 [00:03<00:01, 8.23it/s] 80%|████████ | 32/40 [00:03<00:00, 8.34it/s] 82%|████████▎ | 33/40 [00:03<00:00, 8.43it/s] 85%|████████▌ | 34/40 [00:04<00:00, 8.41it/s] 88%|████████▊ | 35/40 [00:04<00:00, 8.47it/s] 90%|█████████ | 36/40 [00:04<00:00, 8.51it/s] 92%|█████████▎| 37/40 [00:04<00:00, 8.55it/s] 95%|█████████▌| 38/40 [00:04<00:00, 8.54it/s] 98%|█████████▊| 39/40 [00:04<00:00, 8.56it/s] 100%|██████████| 40/40 [00:04<00:00, 8.58it/s] 100%|██████████| 40/40 [00:04<00:00, 8.46it/s]Prediction
lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833IDaioickrbowjdrh3c4jf3hn2wuaStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedby @lucatacoInput
- seed
- 41872
- width
- 1024
- height
- 1024
- prompt
- dark shot, photo of cute 24 y.o latina woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows
- scheduler
- DPMSolverMultistep
- guidance_scale
- 7
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
- num_inference_steps
- 40
{ "seed": 41872, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o latina woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run lucataco/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", { input: { seed: 41872, width: 1024, height: 1024, prompt: "dark shot, photo of cute 24 y.o latina woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", scheduler: "DPMSolverMultistep", guidance_scale: 7, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", num_inference_steps: 40 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", input={ "seed": 41872, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o latina woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/realvisxl-v1.0 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": "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", "input": { "seed": 41872, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o latina woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-13T02:37:14.397136Z", "created_at": "2023-09-13T02:37:07.421349Z", "data_removed": false, "error": null, "id": "aioickrbowjdrh3c4jf3hn2wua", "input": { "seed": 41872, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o latina woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 }, "logs": "Using seed: 41872\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 6.88it/s]\n 5%|▌ | 2/40 [00:00<00:05, 6.93it/s]\n 8%|▊ | 3/40 [00:00<00:05, 7.23it/s]\n 10%|█ | 4/40 [00:00<00:05, 7.04it/s]\n 12%|█▎ | 5/40 [00:00<00:04, 7.19it/s]\n 15%|█▌ | 6/40 [00:00<00:04, 7.19it/s]\n 18%|█▊ | 7/40 [00:00<00:04, 7.08it/s]\n 20%|██ | 8/40 [00:01<00:04, 6.99it/s]\n 22%|██▎ | 9/40 [00:01<00:04, 6.96it/s]\n 25%|██▌ | 10/40 [00:01<00:04, 7.11it/s]\n 28%|██▊ | 11/40 [00:01<00:03, 7.33it/s]\n 30%|███ | 12/40 [00:01<00:03, 7.50it/s]\n 32%|███▎ | 13/40 [00:01<00:03, 7.35it/s]\n 35%|███▌ | 14/40 [00:01<00:03, 7.47it/s]\n 38%|███▊ | 15/40 [00:02<00:03, 7.40it/s]\n 40%|████ | 16/40 [00:02<00:03, 7.46it/s]\n 42%|████▎ | 17/40 [00:02<00:03, 7.19it/s]\n 45%|████▌ | 18/40 [00:02<00:02, 7.38it/s]\n 48%|████▊ | 19/40 [00:02<00:02, 7.26it/s]\n 50%|█████ | 20/40 [00:02<00:02, 7.17it/s]\n 52%|█████▎ | 21/40 [00:02<00:02, 7.11it/s]\n 55%|█████▌ | 22/40 [00:03<00:02, 7.20it/s]\n 57%|█████▊ | 23/40 [00:03<00:02, 7.11it/s]\n 60%|██████ | 24/40 [00:03<00:02, 7.29it/s]\n 62%|██████▎ | 25/40 [00:03<00:02, 7.38it/s]\n 65%|██████▌ | 26/40 [00:03<00:01, 7.47it/s]\n 68%|██████▊ | 27/40 [00:03<00:01, 7.56it/s]\n 70%|███████ | 28/40 [00:03<00:01, 7.57it/s]\n 72%|███████▎ | 29/40 [00:03<00:01, 7.44it/s]\n 75%|███████▌ | 30/40 [00:04<00:01, 7.75it/s]\n 78%|███████▊ | 31/40 [00:04<00:01, 7.61it/s]\n 80%|████████ | 32/40 [00:04<00:01, 7.65it/s]\n 82%|████████▎ | 33/40 [00:04<00:00, 7.52it/s]\n 85%|████████▌ | 34/40 [00:04<00:00, 7.44it/s]\n 88%|████████▊ | 35/40 [00:04<00:00, 7.22it/s]\n 90%|█████████ | 36/40 [00:04<00:00, 7.28it/s]\n 92%|█████████▎| 37/40 [00:05<00:00, 7.56it/s]\n 95%|█████████▌| 38/40 [00:05<00:00, 7.57it/s]\n 98%|█████████▊| 39/40 [00:05<00:00, 7.74it/s]\n100%|██████████| 40/40 [00:05<00:00, 7.57it/s]\n100%|██████████| 40/40 [00:05<00:00, 7.35it/s]", "metrics": { "predict_time": 7.012419, "total_time": 6.975787 }, "output": "https://replicate.delivery/pbxt/BE3Saw9ARtYtGlFShWJWdWxo3yeW1bf4ozNvjgNsw7BZJtjRA/output.png", "started_at": "2023-09-13T02:37:07.384717Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/aioickrbowjdrh3c4jf3hn2wua", "cancel": "https://api.replicate.com/v1/predictions/aioickrbowjdrh3c4jf3hn2wua/cancel" }, "version": "b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833" }Generated inUsing seed: 41872 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 6.88it/s] 5%|▌ | 2/40 [00:00<00:05, 6.93it/s] 8%|▊ | 3/40 [00:00<00:05, 7.23it/s] 10%|█ | 4/40 [00:00<00:05, 7.04it/s] 12%|█▎ | 5/40 [00:00<00:04, 7.19it/s] 15%|█▌ | 6/40 [00:00<00:04, 7.19it/s] 18%|█▊ | 7/40 [00:00<00:04, 7.08it/s] 20%|██ | 8/40 [00:01<00:04, 6.99it/s] 22%|██▎ | 9/40 [00:01<00:04, 6.96it/s] 25%|██▌ | 10/40 [00:01<00:04, 7.11it/s] 28%|██▊ | 11/40 [00:01<00:03, 7.33it/s] 30%|███ | 12/40 [00:01<00:03, 7.50it/s] 32%|███▎ | 13/40 [00:01<00:03, 7.35it/s] 35%|███▌ | 14/40 [00:01<00:03, 7.47it/s] 38%|███▊ | 15/40 [00:02<00:03, 7.40it/s] 40%|████ | 16/40 [00:02<00:03, 7.46it/s] 42%|████▎ | 17/40 [00:02<00:03, 7.19it/s] 45%|████▌ | 18/40 [00:02<00:02, 7.38it/s] 48%|████▊ | 19/40 [00:02<00:02, 7.26it/s] 50%|█████ | 20/40 [00:02<00:02, 7.17it/s] 52%|█████▎ | 21/40 [00:02<00:02, 7.11it/s] 55%|█████▌ | 22/40 [00:03<00:02, 7.20it/s] 57%|█████▊ | 23/40 [00:03<00:02, 7.11it/s] 60%|██████ | 24/40 [00:03<00:02, 7.29it/s] 62%|██████▎ | 25/40 [00:03<00:02, 7.38it/s] 65%|██████▌ | 26/40 [00:03<00:01, 7.47it/s] 68%|██████▊ | 27/40 [00:03<00:01, 7.56it/s] 70%|███████ | 28/40 [00:03<00:01, 7.57it/s] 72%|███████▎ | 29/40 [00:03<00:01, 7.44it/s] 75%|███████▌ | 30/40 [00:04<00:01, 7.75it/s] 78%|███████▊ | 31/40 [00:04<00:01, 7.61it/s] 80%|████████ | 32/40 [00:04<00:01, 7.65it/s] 82%|████████▎ | 33/40 [00:04<00:00, 7.52it/s] 85%|████████▌ | 34/40 [00:04<00:00, 7.44it/s] 88%|████████▊ | 35/40 [00:04<00:00, 7.22it/s] 90%|█████████ | 36/40 [00:04<00:00, 7.28it/s] 92%|█████████▎| 37/40 [00:05<00:00, 7.56it/s] 95%|█████████▌| 38/40 [00:05<00:00, 7.57it/s] 98%|█████████▊| 39/40 [00:05<00:00, 7.74it/s] 100%|██████████| 40/40 [00:05<00:00, 7.57it/s] 100%|██████████| 40/40 [00:05<00:00, 7.35it/s]Prediction
lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833IDeej4ivjbfa5ymeu5tonseb4s3iStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 41872
- width
- 1024
- height
- 1024
- prompt
- dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows
- scheduler
- DPMSolverMultistep
- guidance_scale
- 7
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
- num_inference_steps
- 40
{ "seed": 41872, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run lucataco/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", { input: { seed: 41872, width: 1024, height: 1024, prompt: "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", scheduler: "DPMSolverMultistep", guidance_scale: 7, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", num_inference_steps: 40 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 lucataco/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", input={ "seed": 41872, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run lucataco/realvisxl-v1.0 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": "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833", "input": { "seed": 41872, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-13T02:38:20.358825Z", "created_at": "2023-09-13T02:38:13.703003Z", "data_removed": false, "error": null, "id": "eej4ivjbfa5ymeu5tonseb4s3i", "input": { "seed": 41872, "width": 1024, "height": 1024, "prompt": "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows", "scheduler": "DPMSolverMultistep", "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 40 }, "logs": "Using seed: 41872\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 6.89it/s]\n 5%|▌ | 2/40 [00:00<00:04, 7.69it/s]\n 8%|▊ | 3/40 [00:00<00:04, 8.00it/s]\n 10%|█ | 4/40 [00:00<00:04, 8.10it/s]\n 12%|█▎ | 5/40 [00:00<00:04, 8.19it/s]\n 15%|█▌ | 6/40 [00:00<00:04, 8.22it/s]\n 18%|█▊ | 7/40 [00:00<00:04, 7.97it/s]\n 20%|██ | 8/40 [00:01<00:03, 8.05it/s]\n 22%|██▎ | 9/40 [00:01<00:03, 8.02it/s]\n 25%|██▌ | 10/40 [00:01<00:03, 8.04it/s]\n 28%|██▊ | 11/40 [00:01<00:03, 8.12it/s]\n 30%|███ | 12/40 [00:01<00:03, 8.24it/s]\n 32%|███▎ | 13/40 [00:01<00:03, 8.35it/s]\n 35%|███▌ | 14/40 [00:01<00:03, 8.43it/s]\n 38%|███▊ | 15/40 [00:01<00:03, 8.20it/s]\n 40%|████ | 16/40 [00:01<00:02, 8.32it/s]\n 42%|████▎ | 17/40 [00:02<00:02, 8.41it/s]\n 45%|████▌ | 18/40 [00:02<00:02, 8.28it/s]\n 48%|████▊ | 19/40 [00:02<00:02, 8.14it/s]\n 50%|█████ | 20/40 [00:02<00:02, 8.23it/s]\n 52%|█████▎ | 21/40 [00:02<00:02, 7.98it/s]\n 55%|█████▌ | 22/40 [00:02<00:02, 7.67it/s]\n 57%|█████▊ | 23/40 [00:02<00:02, 7.69it/s]\n 60%|██████ | 24/40 [00:02<00:02, 7.67it/s]\n 62%|██████▎ | 25/40 [00:03<00:02, 7.40it/s]\n 65%|██████▌ | 26/40 [00:03<00:01, 7.56it/s]\n 68%|██████▊ | 27/40 [00:03<00:01, 7.85it/s]\n 70%|███████ | 28/40 [00:03<00:01, 8.06it/s]\n 72%|███████▎ | 29/40 [00:03<00:01, 8.20it/s]\n 75%|███████▌ | 30/40 [00:03<00:01, 8.31it/s]\n 78%|███████▊ | 31/40 [00:03<00:01, 8.03it/s]\n 80%|████████ | 32/40 [00:03<00:01, 7.85it/s]\n 82%|████████▎ | 33/40 [00:04<00:00, 7.89it/s]\n 85%|████████▌ | 34/40 [00:04<00:00, 8.00it/s]\n 88%|████████▊ | 35/40 [00:04<00:00, 8.16it/s]\n 90%|█████████ | 36/40 [00:04<00:00, 7.98it/s]\n 92%|█████████▎| 37/40 [00:04<00:00, 7.64it/s]\n 95%|█████████▌| 38/40 [00:04<00:00, 7.49it/s]\n 98%|█████████▊| 39/40 [00:04<00:00, 7.45it/s]\n100%|██████████| 40/40 [00:05<00:00, 7.63it/s]\n100%|██████████| 40/40 [00:05<00:00, 7.95it/s]", "metrics": { "predict_time": 6.685543, "total_time": 6.655822 }, "output": "https://replicate.delivery/pbxt/EpHqLJWB23IRPxP9KXfreAdt1OkRDPmwih3vd8P6wK7bKtjRA/output.png", "started_at": "2023-09-13T02:38:13.673282Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/eej4ivjbfa5ymeu5tonseb4s3i", "cancel": "https://api.replicate.com/v1/predictions/eej4ivjbfa5ymeu5tonseb4s3i/cancel" }, "version": "b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833" }Generated inUsing seed: 41872 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 6.89it/s] 5%|▌ | 2/40 [00:00<00:04, 7.69it/s] 8%|▊ | 3/40 [00:00<00:04, 8.00it/s] 10%|█ | 4/40 [00:00<00:04, 8.10it/s] 12%|█▎ | 5/40 [00:00<00:04, 8.19it/s] 15%|█▌ | 6/40 [00:00<00:04, 8.22it/s] 18%|█▊ | 7/40 [00:00<00:04, 7.97it/s] 20%|██ | 8/40 [00:01<00:03, 8.05it/s] 22%|██▎ | 9/40 [00:01<00:03, 8.02it/s] 25%|██▌ | 10/40 [00:01<00:03, 8.04it/s] 28%|██▊ | 11/40 [00:01<00:03, 8.12it/s] 30%|███ | 12/40 [00:01<00:03, 8.24it/s] 32%|███▎ | 13/40 [00:01<00:03, 8.35it/s] 35%|███▌ | 14/40 [00:01<00:03, 8.43it/s] 38%|███▊ | 15/40 [00:01<00:03, 8.20it/s] 40%|████ | 16/40 [00:01<00:02, 8.32it/s] 42%|████▎ | 17/40 [00:02<00:02, 8.41it/s] 45%|████▌ | 18/40 [00:02<00:02, 8.28it/s] 48%|████▊ | 19/40 [00:02<00:02, 8.14it/s] 50%|█████ | 20/40 [00:02<00:02, 8.23it/s] 52%|█████▎ | 21/40 [00:02<00:02, 7.98it/s] 55%|█████▌ | 22/40 [00:02<00:02, 7.67it/s] 57%|█████▊ | 23/40 [00:02<00:02, 7.69it/s] 60%|██████ | 24/40 [00:02<00:02, 7.67it/s] 62%|██████▎ | 25/40 [00:03<00:02, 7.40it/s] 65%|██████▌ | 26/40 [00:03<00:01, 7.56it/s] 68%|██████▊ | 27/40 [00:03<00:01, 7.85it/s] 70%|███████ | 28/40 [00:03<00:01, 8.06it/s] 72%|███████▎ | 29/40 [00:03<00:01, 8.20it/s] 75%|███████▌ | 30/40 [00:03<00:01, 8.31it/s] 78%|███████▊ | 31/40 [00:03<00:01, 8.03it/s] 80%|████████ | 32/40 [00:03<00:01, 7.85it/s] 82%|████████▎ | 33/40 [00:04<00:00, 7.89it/s] 85%|████████▌ | 34/40 [00:04<00:00, 8.00it/s] 88%|████████▊ | 35/40 [00:04<00:00, 8.16it/s] 90%|█████████ | 36/40 [00:04<00:00, 7.98it/s] 92%|█████████▎| 37/40 [00:04<00:00, 7.64it/s] 95%|█████████▌| 38/40 [00:04<00:00, 7.49it/s] 98%|█████████▊| 39/40 [00:04<00:00, 7.45it/s] 100%|██████████| 40/40 [00:05<00:00, 7.63it/s] 100%|██████████| 40/40 [00:05<00:00, 7.95it/s]
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