adirik / realvisxl-v3.0-turbo
Photorealism with RealVisXL V3.0 Turbo based on SDXL
Prediction
adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575cIDommkf7dbipo2nipxtnjnv4fwliStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- An astronaut riding a rainbow unicorn
- refine
- no_refiner
- scheduler
- DPM++_SDE_Karras
- num_outputs
- 1
- guidance_scale
- 2
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "An astronaut riding a rainbow unicorn", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "prompt_strength": 0.8, "num_inference_steps": 25 }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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", { input: { width: 768, height: 768, prompt: "An astronaut riding a rainbow unicorn", refine: "no_refiner", scheduler: "DPM++_SDE_Karras", num_outputs: 1, guidance_scale: 2, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", prompt_strength: 0.8, num_inference_steps: 25 } } ); // 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", input={ "width": 768, "height": 768, "prompt": "An astronaut riding a rainbow unicorn", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", "input": { "width": 768, "height": 768, "prompt": "An astronaut riding a rainbow unicorn", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T12:32:44.596623Z", "created_at": "2023-12-29T12:29:55.775429Z", "data_removed": false, "error": null, "id": "ommkf7dbipo2nipxtnjnv4fwli", "input": { "width": 768, "height": 768, "prompt": "An astronaut riding a rainbow unicorn", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 11998\nPrompt: An astronaut riding a rainbow unicorn\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:17, 1.37it/s]\n 8%|▊ | 2/25 [00:00<00:08, 2.70it/s]\n 12%|█▏ | 3/25 [00:00<00:05, 3.90it/s]\n 16%|█▌ | 4/25 [00:01<00:04, 4.93it/s]\n 20%|██ | 5/25 [00:01<00:03, 5.77it/s]\n 24%|██▍ | 6/25 [00:01<00:02, 6.42it/s]\n 28%|██▊ | 7/25 [00:01<00:02, 6.92it/s]\n 32%|███▏ | 8/25 [00:01<00:02, 7.29it/s]\n 36%|███▌ | 9/25 [00:01<00:02, 7.55it/s]\n 40%|████ | 10/25 [00:01<00:01, 7.74it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 7.87it/s]\n 48%|████▊ | 12/25 [00:02<00:01, 7.96it/s]\n 52%|█████▏ | 13/25 [00:02<00:01, 8.04it/s]\n 56%|█████▌ | 14/25 [00:02<00:01, 8.08it/s]\n 60%|██████ | 15/25 [00:02<00:01, 8.12it/s]\n 64%|██████▍ | 16/25 [00:02<00:01, 8.15it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.19it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.20it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.22it/s]\n 80%|████████ | 20/25 [00:03<00:00, 8.23it/s]\n 84%|████████▍ | 21/25 [00:03<00:00, 8.24it/s]\n 88%|████████▊ | 22/25 [00:03<00:00, 8.24it/s]\n 92%|█████████▏| 23/25 [00:03<00:00, 8.23it/s]\n 96%|█████████▌| 24/25 [00:03<00:00, 8.22it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.22it/s]\n100%|██████████| 25/25 [00:03<00:00, 6.86it/s]", "metrics": { "predict_time": 5.453418, "total_time": 168.821194 }, "output": [ "https://replicate.delivery/pbxt/4MhHPJRLlB65IJPOeJFe3khz5Hn6i5CCrrzCr062Kqns5GHSA/out-0.png" ], "started_at": "2023-12-29T12:32:39.143205Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ommkf7dbipo2nipxtnjnv4fwli", "cancel": "https://api.replicate.com/v1/predictions/ommkf7dbipo2nipxtnjnv4fwli/cancel" }, "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c" }Generated inUsing seed: 11998 Prompt: An astronaut riding a rainbow unicorn txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:17, 1.37it/s] 8%|▊ | 2/25 [00:00<00:08, 2.70it/s] 12%|█▏ | 3/25 [00:00<00:05, 3.90it/s] 16%|█▌ | 4/25 [00:01<00:04, 4.93it/s] 20%|██ | 5/25 [00:01<00:03, 5.77it/s] 24%|██▍ | 6/25 [00:01<00:02, 6.42it/s] 28%|██▊ | 7/25 [00:01<00:02, 6.92it/s] 32%|███▏ | 8/25 [00:01<00:02, 7.29it/s] 36%|███▌ | 9/25 [00:01<00:02, 7.55it/s] 40%|████ | 10/25 [00:01<00:01, 7.74it/s] 44%|████▍ | 11/25 [00:01<00:01, 7.87it/s] 48%|████▊ | 12/25 [00:02<00:01, 7.96it/s] 52%|█████▏ | 13/25 [00:02<00:01, 8.04it/s] 56%|█████▌ | 14/25 [00:02<00:01, 8.08it/s] 60%|██████ | 15/25 [00:02<00:01, 8.12it/s] 64%|██████▍ | 16/25 [00:02<00:01, 8.15it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.19it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.20it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.22it/s] 80%|████████ | 20/25 [00:03<00:00, 8.23it/s] 84%|████████▍ | 21/25 [00:03<00:00, 8.24it/s] 88%|████████▊ | 22/25 [00:03<00:00, 8.24it/s] 92%|█████████▏| 23/25 [00:03<00:00, 8.23it/s] 96%|█████████▌| 24/25 [00:03<00:00, 8.22it/s] 100%|██████████| 25/25 [00:03<00:00, 8.22it/s] 100%|██████████| 25/25 [00:03<00:00, 6.86it/s]Prediction
adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575cIDtdp6litbrzsenc3i6wdfk6tqqyStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- A photo of an astronaut riding a rainbow unicorn through a wildflower meadow
- refine
- no_refiner
- scheduler
- DPM++_SDE_Karras
- num_outputs
- 1
- guidance_scale
- 2
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", "prompt_strength": 0.8, "num_inference_steps": 25 }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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", { input: { width: 768, height: 768, prompt: "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", refine: "no_refiner", scheduler: "DPM++_SDE_Karras", num_outputs: 1, guidance_scale: 2, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", prompt_strength: 0.8, num_inference_steps: 25 } } ); // 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", input={ "width": 768, "height": 768, "prompt": "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", "input": { "width": 768, "height": 768, "prompt": "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T12:35:16.838180Z", "created_at": "2023-12-29T12:35:12.834550Z", "data_removed": false, "error": null, "id": "tdp6litbrzsenc3i6wdfk6tqqy", "input": { "width": 768, "height": 768, "prompt": "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 29585\nPrompt: A photo of an astronaut riding a rainbow unicorn through a wildflower meadow\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:02, 8.42it/s]\n 8%|▊ | 2/25 [00:00<00:02, 8.31it/s]\n 12%|█▏ | 3/25 [00:00<00:02, 8.27it/s]\n 16%|█▌ | 4/25 [00:00<00:02, 8.25it/s]\n 20%|██ | 5/25 [00:00<00:02, 8.26it/s]\n 24%|██▍ | 6/25 [00:00<00:02, 8.25it/s]\n 28%|██▊ | 7/25 [00:00<00:02, 8.25it/s]\n 32%|███▏ | 8/25 [00:00<00:02, 8.24it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 8.23it/s]\n 40%|████ | 10/25 [00:01<00:01, 8.23it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 8.23it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 8.21it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 8.20it/s]\n 56%|█████▌ | 14/25 [00:01<00:01, 8.21it/s]\n 60%|██████ | 15/25 [00:01<00:01, 8.22it/s]\n 64%|██████▍ | 16/25 [00:01<00:01, 8.23it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.23it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.23it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.23it/s]\n 80%|████████ | 20/25 [00:02<00:00, 8.21it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 8.20it/s]\n 88%|████████▊ | 22/25 [00:02<00:00, 8.19it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 8.19it/s]\n 96%|█████████▌| 24/25 [00:02<00:00, 8.20it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.20it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.22it/s]", "metrics": { "predict_time": 3.997413, "total_time": 4.00363 }, "output": [ "https://replicate.delivery/pbxt/L0zA4OSj7U7oOVSwcrVbtaZsXszRYNMTRGltL7KFPBPBvxhE/out-0.png" ], "started_at": "2023-12-29T12:35:12.840767Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/tdp6litbrzsenc3i6wdfk6tqqy", "cancel": "https://api.replicate.com/v1/predictions/tdp6litbrzsenc3i6wdfk6tqqy/cancel" }, "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c" }Generated inUsing seed: 29585 Prompt: A photo of an astronaut riding a rainbow unicorn through a wildflower meadow txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:02, 8.42it/s] 8%|▊ | 2/25 [00:00<00:02, 8.31it/s] 12%|█▏ | 3/25 [00:00<00:02, 8.27it/s] 16%|█▌ | 4/25 [00:00<00:02, 8.25it/s] 20%|██ | 5/25 [00:00<00:02, 8.26it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.25it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.25it/s] 32%|███▏ | 8/25 [00:00<00:02, 8.24it/s] 36%|███▌ | 9/25 [00:01<00:01, 8.23it/s] 40%|████ | 10/25 [00:01<00:01, 8.23it/s] 44%|████▍ | 11/25 [00:01<00:01, 8.23it/s] 48%|████▊ | 12/25 [00:01<00:01, 8.21it/s] 52%|█████▏ | 13/25 [00:01<00:01, 8.20it/s] 56%|█████▌ | 14/25 [00:01<00:01, 8.21it/s] 60%|██████ | 15/25 [00:01<00:01, 8.22it/s] 64%|██████▍ | 16/25 [00:01<00:01, 8.23it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.23it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.23it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.23it/s] 80%|████████ | 20/25 [00:02<00:00, 8.21it/s] 84%|████████▍ | 21/25 [00:02<00:00, 8.20it/s] 88%|████████▊ | 22/25 [00:02<00:00, 8.19it/s] 92%|█████████▏| 23/25 [00:02<00:00, 8.19it/s] 96%|█████████▌| 24/25 [00:02<00:00, 8.20it/s] 100%|██████████| 25/25 [00:03<00:00, 8.20it/s] 100%|██████████| 25/25 [00:03<00:00, 8.22it/s]Prediction
adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575cIDmtn3j73brp22d6sevcu7zsx56qStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- A color portrait photo of a man wearing sunglasses
- refine
- no_refiner
- scheduler
- DPM++_SDE_Karras
- num_outputs
- 1
- guidance_scale
- 2
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "A color portrait photo of a man wearing sunglasses", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", "prompt_strength": 0.8, "num_inference_steps": 25 }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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", { input: { width: 768, height: 768, prompt: "A color portrait photo of a man wearing sunglasses", refine: "no_refiner", scheduler: "DPM++_SDE_Karras", num_outputs: 1, guidance_scale: 2, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", prompt_strength: 0.8, num_inference_steps: 25 } } ); // 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", input={ "width": 768, "height": 768, "prompt": "A color portrait photo of a man wearing sunglasses", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", "input": { "width": 768, "height": 768, "prompt": "A color portrait photo of a man wearing sunglasses", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T12:37:07.273980Z", "created_at": "2023-12-29T12:37:03.229626Z", "data_removed": false, "error": null, "id": "mtn3j73brp22d6sevcu7zsx56q", "input": { "width": 768, "height": 768, "prompt": "A color portrait photo of a man wearing sunglasses", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured face", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 49789\nPrompt: A color portrait photo of a man wearing sunglasses\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:02, 8.46it/s]\n 8%|▊ | 2/25 [00:00<00:02, 8.28it/s]\n 12%|█▏ | 3/25 [00:00<00:02, 8.19it/s]\n 16%|█▌ | 4/25 [00:00<00:02, 8.13it/s]\n 20%|██ | 5/25 [00:00<00:02, 8.13it/s]\n 24%|██▍ | 6/25 [00:00<00:02, 8.16it/s]\n 28%|██▊ | 7/25 [00:00<00:02, 8.20it/s]\n 32%|███▏ | 8/25 [00:00<00:02, 8.22it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 8.24it/s]\n 40%|████ | 10/25 [00:01<00:01, 8.25it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 8.26it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 8.25it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 8.25it/s]\n 56%|█████▌ | 14/25 [00:01<00:01, 8.24it/s]\n 60%|██████ | 15/25 [00:01<00:01, 8.22it/s]\n 64%|██████▍ | 16/25 [00:01<00:01, 8.23it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.23it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.23it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.23it/s]\n 80%|████████ | 20/25 [00:02<00:00, 8.23it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 8.24it/s]\n 88%|████████▊ | 22/25 [00:02<00:00, 8.24it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 8.24it/s]\n 96%|█████████▌| 24/25 [00:02<00:00, 8.24it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.24it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.23it/s]", "metrics": { "predict_time": 4.036377, "total_time": 4.044354 }, "output": [ "https://replicate.delivery/pbxt/iSXUJ6HfoO2iBK1rUTlz4SKT5SHllnOIanZ2soYRPaC5eGHSA/out-0.png" ], "started_at": "2023-12-29T12:37:03.237603Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/mtn3j73brp22d6sevcu7zsx56q", "cancel": "https://api.replicate.com/v1/predictions/mtn3j73brp22d6sevcu7zsx56q/cancel" }, "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c" }Generated inUsing seed: 49789 Prompt: A color portrait photo of a man wearing sunglasses txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:02, 8.46it/s] 8%|▊ | 2/25 [00:00<00:02, 8.28it/s] 12%|█▏ | 3/25 [00:00<00:02, 8.19it/s] 16%|█▌ | 4/25 [00:00<00:02, 8.13it/s] 20%|██ | 5/25 [00:00<00:02, 8.13it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.16it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.20it/s] 32%|███▏ | 8/25 [00:00<00:02, 8.22it/s] 36%|███▌ | 9/25 [00:01<00:01, 8.24it/s] 40%|████ | 10/25 [00:01<00:01, 8.25it/s] 44%|████▍ | 11/25 [00:01<00:01, 8.26it/s] 48%|████▊ | 12/25 [00:01<00:01, 8.25it/s] 52%|█████▏ | 13/25 [00:01<00:01, 8.25it/s] 56%|█████▌ | 14/25 [00:01<00:01, 8.24it/s] 60%|██████ | 15/25 [00:01<00:01, 8.22it/s] 64%|██████▍ | 16/25 [00:01<00:01, 8.23it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.23it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.23it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.23it/s] 80%|████████ | 20/25 [00:02<00:00, 8.23it/s] 84%|████████▍ | 21/25 [00:02<00:00, 8.24it/s] 88%|████████▊ | 22/25 [00:02<00:00, 8.24it/s] 92%|█████████▏| 23/25 [00:02<00:00, 8.24it/s] 96%|█████████▌| 24/25 [00:02<00:00, 8.24it/s] 100%|██████████| 25/25 [00:03<00:00, 8.24it/s] 100%|██████████| 25/25 [00:03<00:00, 8.23it/s]Prediction
adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575cIDno65qd3b7pzkm5nmthnshhajfuStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- A landscape photo of iceland, with aurora, snow, ice and erupting lava
- refine
- no_refiner
- scheduler
- DPM++_SDE_Karras
- num_outputs
- 1
- guidance_scale
- 2
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", "prompt_strength": 0.8, "num_inference_steps": 25 }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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", { input: { width: 768, height: 768, prompt: "A landscape photo of iceland, with aurora, snow, ice and erupting lava", refine: "no_refiner", scheduler: "DPM++_SDE_Karras", num_outputs: 1, guidance_scale: 2, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", prompt_strength: 0.8, num_inference_steps: 25 } } ); // 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", input={ "width": 768, "height": 768, "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", "input": { "width": 768, "height": 768, "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T12:39:01.699671Z", "created_at": "2023-12-29T12:38:57.670874Z", "data_removed": false, "error": null, "id": "no65qd3b7pzkm5nmthnshhajfu", "input": { "width": 768, "height": 768, "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 56475\nPrompt: A landscape photo of iceland, with aurora, snow, ice and erupting lava\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:02, 8.41it/s]\n 8%|▊ | 2/25 [00:00<00:02, 8.32it/s]\n 12%|█▏ | 3/25 [00:00<00:02, 8.31it/s]\n 16%|█▌ | 4/25 [00:00<00:02, 8.29it/s]\n 20%|██ | 5/25 [00:00<00:02, 8.28it/s]\n 24%|██▍ | 6/25 [00:00<00:02, 8.30it/s]\n 28%|██▊ | 7/25 [00:00<00:02, 8.31it/s]\n 32%|███▏ | 8/25 [00:00<00:02, 8.30it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 8.30it/s]\n 40%|████ | 10/25 [00:01<00:01, 8.30it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 8.29it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 8.28it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 8.28it/s]\n 56%|█████▌ | 14/25 [00:01<00:01, 8.28it/s]\n 60%|██████ | 15/25 [00:01<00:01, 8.28it/s]\n 64%|██████▍ | 16/25 [00:01<00:01, 8.29it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.29it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.28it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.28it/s]\n 80%|████████ | 20/25 [00:02<00:00, 8.29it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 8.28it/s]\n 88%|████████▊ | 22/25 [00:02<00:00, 8.28it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 8.30it/s]\n 96%|█████████▌| 24/25 [00:02<00:00, 8.29it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.30it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.29it/s]", "metrics": { "predict_time": 4.022789, "total_time": 4.028797 }, "output": [ "https://replicate.delivery/pbxt/Ziz8oH4wHkIXNd4pnpEYNTSbVgWbMmReNNDxoRdVX5iyfGHSA/out-0.png" ], "started_at": "2023-12-29T12:38:57.676882Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/no65qd3b7pzkm5nmthnshhajfu", "cancel": "https://api.replicate.com/v1/predictions/no65qd3b7pzkm5nmthnshhajfu/cancel" }, "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c" }Generated inUsing seed: 56475 Prompt: A landscape photo of iceland, with aurora, snow, ice and erupting lava txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:02, 8.41it/s] 8%|▊ | 2/25 [00:00<00:02, 8.32it/s] 12%|█▏ | 3/25 [00:00<00:02, 8.31it/s] 16%|█▌ | 4/25 [00:00<00:02, 8.29it/s] 20%|██ | 5/25 [00:00<00:02, 8.28it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.30it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.31it/s] 32%|███▏ | 8/25 [00:00<00:02, 8.30it/s] 36%|███▌ | 9/25 [00:01<00:01, 8.30it/s] 40%|████ | 10/25 [00:01<00:01, 8.30it/s] 44%|████▍ | 11/25 [00:01<00:01, 8.29it/s] 48%|████▊ | 12/25 [00:01<00:01, 8.28it/s] 52%|█████▏ | 13/25 [00:01<00:01, 8.28it/s] 56%|█████▌ | 14/25 [00:01<00:01, 8.28it/s] 60%|██████ | 15/25 [00:01<00:01, 8.28it/s] 64%|██████▍ | 16/25 [00:01<00:01, 8.29it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.29it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.28it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.28it/s] 80%|████████ | 20/25 [00:02<00:00, 8.29it/s] 84%|████████▍ | 21/25 [00:02<00:00, 8.28it/s] 88%|████████▊ | 22/25 [00:02<00:00, 8.28it/s] 92%|█████████▏| 23/25 [00:02<00:00, 8.30it/s] 96%|█████████▌| 24/25 [00:02<00:00, 8.29it/s] 100%|██████████| 25/25 [00:03<00:00, 8.30it/s] 100%|██████████| 25/25 [00:03<00:00, 8.29it/s]Prediction
adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575cIDwuysgq3bcqhs5of6u65tsvffs4StatusSucceededSourceWebHardwareA40Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot
- refine
- base_image_refiner
- scheduler
- DPM++_SDE_Karras
- num_outputs
- 1
- guidance_scale
- 2
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured", "prompt_strength": 0.8, "num_inference_steps": 25 }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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", { input: { width: 768, height: 768, prompt: "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", refine: "base_image_refiner", scheduler: "DPM++_SDE_Karras", num_outputs: 1, guidance_scale: 2, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured", prompt_strength: 0.8, num_inference_steps: 25 } } ); // 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", input={ "width": 768, "height": 768, "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", "input": { "width": 768, "height": 768, "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T12:40:43.781564Z", "created_at": "2023-12-29T12:40:38.804084Z", "data_removed": false, "error": null, "id": "wuysgq3bcqhs5of6u65tsvffs4", "input": { "width": 768, "height": 768, "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 49849\nPrompt: dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:02, 8.45it/s]\n 8%|▊ | 2/25 [00:00<00:02, 8.32it/s]\n 12%|█▏ | 3/25 [00:00<00:02, 8.28it/s]\n 16%|█▌ | 4/25 [00:00<00:02, 8.27it/s]\n 20%|██ | 5/25 [00:00<00:02, 8.29it/s]\n 24%|██▍ | 6/25 [00:00<00:02, 8.29it/s]\n 28%|██▊ | 7/25 [00:00<00:02, 8.29it/s]\n 32%|███▏ | 8/25 [00:00<00:02, 8.29it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 8.30it/s]\n 40%|████ | 10/25 [00:01<00:01, 8.30it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 8.31it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 8.31it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 8.31it/s]\n 56%|█████▌ | 14/25 [00:01<00:01, 8.30it/s]\n 60%|██████ | 15/25 [00:01<00:01, 8.30it/s]\n 64%|██████▍ | 16/25 [00:01<00:01, 8.31it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.31it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.31it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.29it/s]\n 80%|████████ | 20/25 [00:02<00:00, 8.29it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 8.29it/s]\n 88%|████████▊ | 22/25 [00:02<00:00, 8.29it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 8.29it/s]\n 96%|█████████▌| 24/25 [00:02<00:00, 8.28it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.27it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.29it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:00, 7.98it/s]\n 29%|██▊ | 2/7 [00:00<00:00, 7.91it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 7.89it/s]\n 57%|█████▋ | 4/7 [00:00<00:00, 7.88it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.87it/s]\n 86%|████████▌ | 6/7 [00:00<00:00, 7.88it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.86it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.87it/s]", "metrics": { "predict_time": 4.966928, "total_time": 4.97748 }, "output": [ "https://replicate.delivery/pbxt/uVObfqHAH2XfpE4QqO8ex1J9e6UlQvGiLmjRLJxj7u4tEccIB/out-0.png" ], "started_at": "2023-12-29T12:40:38.814636Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wuysgq3bcqhs5of6u65tsvffs4", "cancel": "https://api.replicate.com/v1/predictions/wuysgq3bcqhs5of6u65tsvffs4/cancel" }, "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c" }Generated inUsing seed: 49849 Prompt: dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:02, 8.45it/s] 8%|▊ | 2/25 [00:00<00:02, 8.32it/s] 12%|█▏ | 3/25 [00:00<00:02, 8.28it/s] 16%|█▌ | 4/25 [00:00<00:02, 8.27it/s] 20%|██ | 5/25 [00:00<00:02, 8.29it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.29it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.29it/s] 32%|███▏ | 8/25 [00:00<00:02, 8.29it/s] 36%|███▌ | 9/25 [00:01<00:01, 8.30it/s] 40%|████ | 10/25 [00:01<00:01, 8.30it/s] 44%|████▍ | 11/25 [00:01<00:01, 8.31it/s] 48%|████▊ | 12/25 [00:01<00:01, 8.31it/s] 52%|█████▏ | 13/25 [00:01<00:01, 8.31it/s] 56%|█████▌ | 14/25 [00:01<00:01, 8.30it/s] 60%|██████ | 15/25 [00:01<00:01, 8.30it/s] 64%|██████▍ | 16/25 [00:01<00:01, 8.31it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.31it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.31it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.29it/s] 80%|████████ | 20/25 [00:02<00:00, 8.29it/s] 84%|████████▍ | 21/25 [00:02<00:00, 8.29it/s] 88%|████████▊ | 22/25 [00:02<00:00, 8.29it/s] 92%|█████████▏| 23/25 [00:02<00:00, 8.29it/s] 96%|█████████▌| 24/25 [00:02<00:00, 8.28it/s] 100%|██████████| 25/25 [00:03<00:00, 8.27it/s] 100%|██████████| 25/25 [00:03<00:00, 8.29it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:00, 7.98it/s] 29%|██▊ | 2/7 [00:00<00:00, 7.91it/s] 43%|████▎ | 3/7 [00:00<00:00, 7.89it/s] 57%|█████▋ | 4/7 [00:00<00:00, 7.88it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.87it/s] 86%|████████▌ | 6/7 [00:00<00:00, 7.88it/s] 100%|██████████| 7/7 [00:00<00:00, 7.86it/s] 100%|██████████| 7/7 [00:00<00:00, 7.87it/s]Prediction
adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575cIDyeznystbanzvrgaorzgcp4tgyuStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- front shot, portrait photo of a 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)
- refine
- base_image_refiner
- scheduler
- DPM++_SDE_Karras
- num_outputs
- 1
- guidance_scale
- 2
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "front shot, portrait photo of a 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 }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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", { input: { width: 768, height: 768, prompt: "front shot, portrait photo of a 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)", refine: "base_image_refiner", scheduler: "DPM++_SDE_Karras", num_outputs: 1, guidance_scale: 2, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", prompt_strength: 0.8, num_inference_steps: 25 } } ); // 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", input={ "width": 768, "height": 768, "prompt": "front shot, portrait photo of a 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", "input": { "width": 768, "height": 768, "prompt": "front shot, portrait photo of a 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T12:44:10.690462Z", "created_at": "2023-12-29T12:44:05.699088Z", "data_removed": false, "error": null, "id": "yeznystbanzvrgaorzgcp4tgyu", "input": { "width": 768, "height": 768, "prompt": "front shot, portrait photo of a 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 29904\nPrompt: front shot, portrait photo of a 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:02, 8.42it/s]\n 8%|▊ | 2/25 [00:00<00:02, 8.30it/s]\n 12%|█▏ | 3/25 [00:00<00:02, 8.27it/s]\n 16%|█▌ | 4/25 [00:00<00:02, 8.25it/s]\n 20%|██ | 5/25 [00:00<00:02, 8.24it/s]\n 24%|██▍ | 6/25 [00:00<00:02, 8.26it/s]\n 28%|██▊ | 7/25 [00:00<00:02, 8.27it/s]\n 32%|███▏ | 8/25 [00:00<00:02, 8.28it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 8.27it/s]\n 40%|████ | 10/25 [00:01<00:01, 8.27it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 8.28it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 8.28it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 8.27it/s]\n 56%|█████▌ | 14/25 [00:01<00:01, 8.28it/s]\n 60%|██████ | 15/25 [00:01<00:01, 8.28it/s]\n 64%|██████▍ | 16/25 [00:01<00:01, 8.29it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.29it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.28it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.28it/s]\n 80%|████████ | 20/25 [00:02<00:00, 8.27it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 8.27it/s]\n 88%|████████▊ | 22/25 [00:02<00:00, 8.27it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 8.26it/s]\n 96%|█████████▌| 24/25 [00:02<00:00, 8.26it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.26it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.27it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:00, 7.99it/s]\n 29%|██▊ | 2/7 [00:00<00:00, 7.92it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 7.89it/s]\n 57%|█████▋ | 4/7 [00:00<00:00, 7.87it/s]\n 71%|███████▏ | 5/7 [00:00<00:00, 7.86it/s]\n 86%|████████▌ | 6/7 [00:00<00:00, 7.84it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.83it/s]\n100%|██████████| 7/7 [00:00<00:00, 7.86it/s]", "metrics": { "predict_time": 4.98533, "total_time": 4.991374 }, "output": [ "https://replicate.delivery/pbxt/B2UcLdiKDIpqLN2oezfq0It7rLuPz5HlreU7OCPM2xz0IOOkA/out-0.png" ], "started_at": "2023-12-29T12:44:05.705132Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/yeznystbanzvrgaorzgcp4tgyu", "cancel": "https://api.replicate.com/v1/predictions/yeznystbanzvrgaorzgcp4tgyu/cancel" }, "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c" }Generated inUsing seed: 29904 Prompt: front shot, portrait photo of a 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1) txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:02, 8.42it/s] 8%|▊ | 2/25 [00:00<00:02, 8.30it/s] 12%|█▏ | 3/25 [00:00<00:02, 8.27it/s] 16%|█▌ | 4/25 [00:00<00:02, 8.25it/s] 20%|██ | 5/25 [00:00<00:02, 8.24it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.26it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.27it/s] 32%|███▏ | 8/25 [00:00<00:02, 8.28it/s] 36%|███▌ | 9/25 [00:01<00:01, 8.27it/s] 40%|████ | 10/25 [00:01<00:01, 8.27it/s] 44%|████▍ | 11/25 [00:01<00:01, 8.28it/s] 48%|████▊ | 12/25 [00:01<00:01, 8.28it/s] 52%|█████▏ | 13/25 [00:01<00:01, 8.27it/s] 56%|█████▌ | 14/25 [00:01<00:01, 8.28it/s] 60%|██████ | 15/25 [00:01<00:01, 8.28it/s] 64%|██████▍ | 16/25 [00:01<00:01, 8.29it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.29it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.28it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.28it/s] 80%|████████ | 20/25 [00:02<00:00, 8.27it/s] 84%|████████▍ | 21/25 [00:02<00:00, 8.27it/s] 88%|████████▊ | 22/25 [00:02<00:00, 8.27it/s] 92%|█████████▏| 23/25 [00:02<00:00, 8.26it/s] 96%|█████████▌| 24/25 [00:02<00:00, 8.26it/s] 100%|██████████| 25/25 [00:03<00:00, 8.26it/s] 100%|██████████| 25/25 [00:03<00:00, 8.27it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:00, 7.99it/s] 29%|██▊ | 2/7 [00:00<00:00, 7.92it/s] 43%|████▎ | 3/7 [00:00<00:00, 7.89it/s] 57%|█████▋ | 4/7 [00:00<00:00, 7.87it/s] 71%|███████▏ | 5/7 [00:00<00:00, 7.86it/s] 86%|████████▌ | 6/7 [00:00<00:00, 7.84it/s] 100%|██████████| 7/7 [00:00<00:00, 7.83it/s] 100%|██████████| 7/7 [00:00<00:00, 7.86it/s]Prediction
adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575cIDgl5qy7tbkp4fzbztpkvlr64a5yStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- a latina woman with a pearl earring
- refine
- base_image_refiner
- scheduler
- DPM++_SDE_Karras
- num_outputs
- 1
- guidance_scale
- 2
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 1024, "height": 1024, "prompt": "a latina woman with a pearl earring", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 }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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", { input: { width: 1024, height: 1024, prompt: "a latina woman with a pearl earring", refine: "base_image_refiner", scheduler: "DPM++_SDE_Karras", num_outputs: 1, guidance_scale: 2, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", prompt_strength: 0.8, num_inference_steps: 25 } } ); // 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", input={ "width": 1024, "height": 1024, "prompt": "a latina woman with a pearl earring", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", "input": { "width": 1024, "height": 1024, "prompt": "a latina woman with a pearl earring", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T12:45:33.108442Z", "created_at": "2023-12-29T12:45:24.950376Z", "data_removed": false, "error": null, "id": "gl5qy7tbkp4fzbztpkvlr64a5y", "input": { "width": 1024, "height": 1024, "prompt": "a latina woman with a pearl earring", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 51061\nPrompt: a latina woman with a pearl earring\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:05, 4.77it/s]\n 8%|▊ | 2/25 [00:00<00:04, 4.87it/s]\n 12%|█▏ | 3/25 [00:00<00:04, 4.91it/s]\n 16%|█▌ | 4/25 [00:00<00:04, 4.92it/s]\n 20%|██ | 5/25 [00:01<00:04, 4.92it/s]\n 24%|██▍ | 6/25 [00:01<00:03, 4.93it/s]\n 28%|██▊ | 7/25 [00:01<00:03, 4.92it/s]\n 32%|███▏ | 8/25 [00:01<00:03, 4.92it/s]\n 36%|███▌ | 9/25 [00:01<00:03, 4.92it/s]\n 40%|████ | 10/25 [00:02<00:03, 4.93it/s]\n 44%|████▍ | 11/25 [00:02<00:02, 4.93it/s]\n 48%|████▊ | 12/25 [00:02<00:02, 4.93it/s]\n 52%|█████▏ | 13/25 [00:02<00:02, 4.93it/s]\n 56%|█████▌ | 14/25 [00:02<00:02, 4.94it/s]\n 60%|██████ | 15/25 [00:03<00:02, 4.94it/s]\n 64%|██████▍ | 16/25 [00:03<00:01, 4.94it/s]\n 68%|██████▊ | 17/25 [00:03<00:01, 4.95it/s]\n 72%|███████▏ | 18/25 [00:03<00:01, 4.95it/s]\n 76%|███████▌ | 19/25 [00:03<00:01, 4.95it/s]\n 80%|████████ | 20/25 [00:04<00:01, 4.95it/s]\n 84%|████████▍ | 21/25 [00:04<00:00, 4.95it/s]\n 88%|████████▊ | 22/25 [00:04<00:00, 4.96it/s]\n 92%|█████████▏| 23/25 [00:04<00:00, 4.95it/s]\n 96%|█████████▌| 24/25 [00:04<00:00, 4.95it/s]\n100%|██████████| 25/25 [00:05<00:00, 4.95it/s]\n100%|██████████| 25/25 [00:05<00:00, 4.94it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:01, 4.24it/s]\n 29%|██▊ | 2/7 [00:00<00:01, 4.29it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 4.32it/s]\n 57%|█████▋ | 4/7 [00:00<00:00, 4.32it/s]\n 71%|███████▏ | 5/7 [00:01<00:00, 4.32it/s]\n 86%|████████▌ | 6/7 [00:01<00:00, 4.33it/s]\n100%|██████████| 7/7 [00:01<00:00, 4.33it/s]\n100%|██████████| 7/7 [00:01<00:00, 4.32it/s]", "metrics": { "predict_time": 8.151975, "total_time": 8.158066 }, "output": [ "https://replicate.delivery/pbxt/ewYldosFwO0LZSS2lcz1GAh2vJLrhPFBnIVTDzeLfeKxWccIB/out-0.png" ], "started_at": "2023-12-29T12:45:24.956467Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/gl5qy7tbkp4fzbztpkvlr64a5y", "cancel": "https://api.replicate.com/v1/predictions/gl5qy7tbkp4fzbztpkvlr64a5y/cancel" }, "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c" }Generated inUsing seed: 51061 Prompt: a latina woman with a pearl earring txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:05, 4.77it/s] 8%|▊ | 2/25 [00:00<00:04, 4.87it/s] 12%|█▏ | 3/25 [00:00<00:04, 4.91it/s] 16%|█▌ | 4/25 [00:00<00:04, 4.92it/s] 20%|██ | 5/25 [00:01<00:04, 4.92it/s] 24%|██▍ | 6/25 [00:01<00:03, 4.93it/s] 28%|██▊ | 7/25 [00:01<00:03, 4.92it/s] 32%|███▏ | 8/25 [00:01<00:03, 4.92it/s] 36%|███▌ | 9/25 [00:01<00:03, 4.92it/s] 40%|████ | 10/25 [00:02<00:03, 4.93it/s] 44%|████▍ | 11/25 [00:02<00:02, 4.93it/s] 48%|████▊ | 12/25 [00:02<00:02, 4.93it/s] 52%|█████▏ | 13/25 [00:02<00:02, 4.93it/s] 56%|█████▌ | 14/25 [00:02<00:02, 4.94it/s] 60%|██████ | 15/25 [00:03<00:02, 4.94it/s] 64%|██████▍ | 16/25 [00:03<00:01, 4.94it/s] 68%|██████▊ | 17/25 [00:03<00:01, 4.95it/s] 72%|███████▏ | 18/25 [00:03<00:01, 4.95it/s] 76%|███████▌ | 19/25 [00:03<00:01, 4.95it/s] 80%|████████ | 20/25 [00:04<00:01, 4.95it/s] 84%|████████▍ | 21/25 [00:04<00:00, 4.95it/s] 88%|████████▊ | 22/25 [00:04<00:00, 4.96it/s] 92%|█████████▏| 23/25 [00:04<00:00, 4.95it/s] 96%|█████████▌| 24/25 [00:04<00:00, 4.95it/s] 100%|██████████| 25/25 [00:05<00:00, 4.95it/s] 100%|██████████| 25/25 [00:05<00:00, 4.94it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 4.24it/s] 29%|██▊ | 2/7 [00:00<00:01, 4.29it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.32it/s] 57%|█████▋ | 4/7 [00:00<00:00, 4.32it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.32it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.33it/s] 100%|██████████| 7/7 [00:01<00:00, 4.33it/s] 100%|██████████| 7/7 [00:01<00:00, 4.32it/s]Prediction
adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575cID35bowc3bmvf5veghrxz7a4lhk4StatusSucceededSourceWebHardwareA40Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- a man wearing a corduroy outfit at a fashion photoshoot
- refine
- base_image_refiner
- scheduler
- DPM++_SDE_Karras
- num_outputs
- 1
- guidance_scale
- 2
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 1024, "height": 1024, "prompt": "a man wearing a corduroy outfit at a fashion photoshoot", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 }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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", { input: { width: 1024, height: 1024, prompt: "a man wearing a corduroy outfit at a fashion photoshoot", refine: "base_image_refiner", scheduler: "DPM++_SDE_Karras", num_outputs: 1, guidance_scale: 2, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", prompt_strength: 0.8, num_inference_steps: 25 } } ); // 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", input={ "width": 1024, "height": 1024, "prompt": "a man wearing a corduroy outfit at a fashion photoshoot", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", "input": { "width": 1024, "height": 1024, "prompt": "a man wearing a corduroy outfit at a fashion photoshoot", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T12:46:54.144915Z", "created_at": "2023-12-29T12:46:46.095704Z", "data_removed": false, "error": null, "id": "35bowc3bmvf5veghrxz7a4lhk4", "input": { "width": 1024, "height": 1024, "prompt": "a man wearing a corduroy outfit at a fashion photoshoot", "refine": "base_image_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth, disfigured, nsfw", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 35730\nPrompt: a man wearing a corduroy outfit at a fashion photoshoot\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:04, 5.03it/s]\n 8%|▊ | 2/25 [00:00<00:04, 4.99it/s]\n 12%|█▏ | 3/25 [00:00<00:04, 4.97it/s]\n 16%|█▌ | 4/25 [00:00<00:04, 4.96it/s]\n 20%|██ | 5/25 [00:01<00:04, 4.94it/s]\n 24%|██▍ | 6/25 [00:01<00:03, 4.94it/s]\n 28%|██▊ | 7/25 [00:01<00:03, 4.94it/s]\n 32%|███▏ | 8/25 [00:01<00:03, 4.94it/s]\n 36%|███▌ | 9/25 [00:01<00:03, 4.93it/s]\n 40%|████ | 10/25 [00:02<00:03, 4.92it/s]\n 44%|████▍ | 11/25 [00:02<00:02, 4.93it/s]\n 48%|████▊ | 12/25 [00:02<00:02, 4.93it/s]\n 52%|█████▏ | 13/25 [00:02<00:02, 4.93it/s]\n 56%|█████▌ | 14/25 [00:02<00:02, 4.92it/s]\n 60%|██████ | 15/25 [00:03<00:02, 4.92it/s]\n 64%|██████▍ | 16/25 [00:03<00:01, 4.92it/s]\n 68%|██████▊ | 17/25 [00:03<00:01, 4.93it/s]\n 72%|███████▏ | 18/25 [00:03<00:01, 4.95it/s]\n 76%|███████▌ | 19/25 [00:03<00:01, 4.95it/s]\n 80%|████████ | 20/25 [00:04<00:01, 4.95it/s]\n 84%|████████▍ | 21/25 [00:04<00:00, 4.95it/s]\n 88%|████████▊ | 22/25 [00:04<00:00, 4.96it/s]\n 92%|█████████▏| 23/25 [00:04<00:00, 4.96it/s]\n 96%|█████████▌| 24/25 [00:04<00:00, 4.95it/s]\n100%|██████████| 25/25 [00:05<00:00, 4.95it/s]\n100%|██████████| 25/25 [00:05<00:00, 4.94it/s]\n 0%| | 0/7 [00:00<?, ?it/s]\n 14%|█▍ | 1/7 [00:00<00:01, 4.38it/s]\n 29%|██▊ | 2/7 [00:00<00:01, 4.35it/s]\n 43%|████▎ | 3/7 [00:00<00:00, 4.35it/s]\n 57%|█████▋ | 4/7 [00:00<00:00, 4.34it/s]\n 71%|███████▏ | 5/7 [00:01<00:00, 4.33it/s]\n 86%|████████▌ | 6/7 [00:01<00:00, 4.33it/s]\n100%|██████████| 7/7 [00:01<00:00, 4.33it/s]\n100%|██████████| 7/7 [00:01<00:00, 4.33it/s]", "metrics": { "predict_time": 8.043592, "total_time": 8.049211 }, "output": [ "https://replicate.delivery/pbxt/IeMgOQo9WbWsVqBEQEp5K1hihSMWmXTkjY26BdhswwneGHHSA/out-0.png" ], "started_at": "2023-12-29T12:46:46.101323Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/35bowc3bmvf5veghrxz7a4lhk4", "cancel": "https://api.replicate.com/v1/predictions/35bowc3bmvf5veghrxz7a4lhk4/cancel" }, "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c" }Generated inUsing seed: 35730 Prompt: a man wearing a corduroy outfit at a fashion photoshoot txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:04, 5.03it/s] 8%|▊ | 2/25 [00:00<00:04, 4.99it/s] 12%|█▏ | 3/25 [00:00<00:04, 4.97it/s] 16%|█▌ | 4/25 [00:00<00:04, 4.96it/s] 20%|██ | 5/25 [00:01<00:04, 4.94it/s] 24%|██▍ | 6/25 [00:01<00:03, 4.94it/s] 28%|██▊ | 7/25 [00:01<00:03, 4.94it/s] 32%|███▏ | 8/25 [00:01<00:03, 4.94it/s] 36%|███▌ | 9/25 [00:01<00:03, 4.93it/s] 40%|████ | 10/25 [00:02<00:03, 4.92it/s] 44%|████▍ | 11/25 [00:02<00:02, 4.93it/s] 48%|████▊ | 12/25 [00:02<00:02, 4.93it/s] 52%|█████▏ | 13/25 [00:02<00:02, 4.93it/s] 56%|█████▌ | 14/25 [00:02<00:02, 4.92it/s] 60%|██████ | 15/25 [00:03<00:02, 4.92it/s] 64%|██████▍ | 16/25 [00:03<00:01, 4.92it/s] 68%|██████▊ | 17/25 [00:03<00:01, 4.93it/s] 72%|███████▏ | 18/25 [00:03<00:01, 4.95it/s] 76%|███████▌ | 19/25 [00:03<00:01, 4.95it/s] 80%|████████ | 20/25 [00:04<00:01, 4.95it/s] 84%|████████▍ | 21/25 [00:04<00:00, 4.95it/s] 88%|████████▊ | 22/25 [00:04<00:00, 4.96it/s] 92%|█████████▏| 23/25 [00:04<00:00, 4.96it/s] 96%|█████████▌| 24/25 [00:04<00:00, 4.95it/s] 100%|██████████| 25/25 [00:05<00:00, 4.95it/s] 100%|██████████| 25/25 [00:05<00:00, 4.94it/s] 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 4.38it/s] 29%|██▊ | 2/7 [00:00<00:01, 4.35it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.35it/s] 57%|█████▋ | 4/7 [00:00<00:00, 4.34it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.33it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.33it/s] 100%|██████████| 7/7 [00:01<00:00, 4.33it/s] 100%|██████████| 7/7 [00:01<00:00, 4.33it/s]Prediction
adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575cID4anz3u3bp2pjycq2tswxy5tuuuStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- RAW photo of sweaty Pikachu as a real character, film grain,sweaty face, extreme detailed face,angry, sharp teeth,as gore movie,gruesome:1.0
- refine
- no_refiner
- scheduler
- DPM++_SDE_Karras
- num_outputs
- 1
- guidance_scale
- 2
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "RAW photo of sweaty Pikachu as a real character, film grain,sweaty face, extreme detailed face,angry, sharp teeth,as gore movie,gruesome:1.0", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "prompt_strength": 0.8, "num_inference_steps": 25 }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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", { input: { width: 768, height: 768, prompt: "RAW photo of sweaty Pikachu as a real character, film grain,sweaty face, extreme detailed face,angry, sharp teeth,as gore movie,gruesome:1.0", refine: "no_refiner", scheduler: "DPM++_SDE_Karras", num_outputs: 1, guidance_scale: 2, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", prompt_strength: 0.8, num_inference_steps: 25 } } ); // 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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", input={ "width": 768, "height": 768, "prompt": "RAW photo of sweaty Pikachu as a real character, film grain,sweaty face, extreme detailed face,angry, sharp teeth,as gore movie,gruesome:1.0", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c", "input": { "width": 768, "height": 768, "prompt": "RAW photo of sweaty Pikachu as a real character, film grain,sweaty face, extreme detailed face,angry, sharp teeth,as gore movie,gruesome:1.0", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T13:13:14.883647Z", "created_at": "2023-12-29T13:08:40.767668Z", "data_removed": false, "error": null, "id": "4anz3u3bp2pjycq2tswxy5tuuu", "input": { "width": 768, "height": 768, "prompt": "RAW photo of sweaty Pikachu as a real character, film grain,sweaty face, extreme detailed face,angry, sharp teeth,as gore movie,gruesome:1.0", "refine": "no_refiner", "scheduler": "DPM++_SDE_Karras", "num_outputs": 1, "guidance_scale": 2, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 11531\nPrompt: RAW photo of sweaty Pikachu as a real character, film grain,sweaty face, extreme detailed face,angry, sharp teeth,as gore movie,gruesome:1.0\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:15, 1.56it/s]\n 8%|▊ | 2/25 [00:00<00:07, 2.97it/s]\n 12%|█▏ | 3/25 [00:00<00:05, 4.19it/s]\n 16%|█▌ | 4/25 [00:01<00:04, 5.20it/s]\n 20%|██ | 5/25 [00:01<00:03, 5.98it/s]\n 24%|██▍ | 6/25 [00:01<00:02, 6.58it/s]\n 28%|██▊ | 7/25 [00:01<00:02, 7.03it/s]\n 32%|███▏ | 8/25 [00:01<00:02, 7.36it/s]\n 36%|███▌ | 9/25 [00:01<00:02, 7.60it/s]\n 40%|████ | 10/25 [00:01<00:01, 7.76it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 7.88it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 7.96it/s]\n 52%|█████▏ | 13/25 [00:02<00:01, 8.03it/s]\n 56%|█████▌ | 14/25 [00:02<00:01, 8.07it/s]\n 60%|██████ | 15/25 [00:02<00:01, 8.09it/s]\n 64%|██████▍ | 16/25 [00:02<00:01, 8.13it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.13it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.13it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.13it/s]\n 80%|████████ | 20/25 [00:02<00:00, 8.13it/s]\n 84%|████████▍ | 21/25 [00:03<00:00, 8.14it/s]\n 88%|████████▊ | 22/25 [00:03<00:00, 8.14it/s]\n 92%|█████████▏| 23/25 [00:03<00:00, 8.15it/s]\n 96%|█████████▌| 24/25 [00:03<00:00, 8.15it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.15it/s]\n100%|██████████| 25/25 [00:03<00:00, 6.98it/s]", "metrics": { "predict_time": 5.835323, "total_time": 274.115979 }, "output": [ "https://replicate.delivery/pbxt/dpq1OwVuJsbPClN79ttca0e0I8L8flQWrs7Vumeq6JRVfdcIB/out-0.png" ], "started_at": "2023-12-29T13:13:09.048324Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4anz3u3bp2pjycq2tswxy5tuuu", "cancel": "https://api.replicate.com/v1/predictions/4anz3u3bp2pjycq2tswxy5tuuu/cancel" }, "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c" }Generated inUsing seed: 11531 Prompt: RAW photo of sweaty Pikachu as a real character, film grain,sweaty face, extreme detailed face,angry, sharp teeth,as gore movie,gruesome:1.0 txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:15, 1.56it/s] 8%|▊ | 2/25 [00:00<00:07, 2.97it/s] 12%|█▏ | 3/25 [00:00<00:05, 4.19it/s] 16%|█▌ | 4/25 [00:01<00:04, 5.20it/s] 20%|██ | 5/25 [00:01<00:03, 5.98it/s] 24%|██▍ | 6/25 [00:01<00:02, 6.58it/s] 28%|██▊ | 7/25 [00:01<00:02, 7.03it/s] 32%|███▏ | 8/25 [00:01<00:02, 7.36it/s] 36%|███▌ | 9/25 [00:01<00:02, 7.60it/s] 40%|████ | 10/25 [00:01<00:01, 7.76it/s] 44%|████▍ | 11/25 [00:01<00:01, 7.88it/s] 48%|████▊ | 12/25 [00:01<00:01, 7.96it/s] 52%|█████▏ | 13/25 [00:02<00:01, 8.03it/s] 56%|█████▌ | 14/25 [00:02<00:01, 8.07it/s] 60%|██████ | 15/25 [00:02<00:01, 8.09it/s] 64%|██████▍ | 16/25 [00:02<00:01, 8.13it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.13it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.13it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.13it/s] 80%|████████ | 20/25 [00:02<00:00, 8.13it/s] 84%|████████▍ | 21/25 [00:03<00:00, 8.14it/s] 88%|████████▊ | 22/25 [00:03<00:00, 8.14it/s] 92%|█████████▏| 23/25 [00:03<00:00, 8.15it/s] 96%|█████████▌| 24/25 [00:03<00:00, 8.15it/s] 100%|██████████| 25/25 [00:03<00:00, 8.15it/s] 100%|██████████| 25/25 [00:03<00:00, 6.98it/s]
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