asiryan
/
juggernaut-xl-v7
Juggernaut XL v7 Model (Text2Img, Img2Img and Inpainting)
Prediction
asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382ID3jalf4lbmp33wkn64xz667foceStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 29725
- width
- 1024
- height
- 1024
- prompt
- abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin
- strength
- 1
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7
- negative_prompt
- (worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)
- num_inference_steps
- 40
{ "seed": 29725, "width": 1024, "height": 1024, "prompt": "abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", { input: { seed: 29725, width: 1024, height: 1024, prompt: "abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin", strength: 1, scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7, negative_prompt: "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", num_inference_steps: 40 } } ); // 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 replicate
Import the client:import replicate
Run asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", input={ "seed": 29725, "width": 1024, "height": 1024, "prompt": "abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run asiryan/juggernaut-xl-v7 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": "6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", "input": { "seed": 29725, "width": 1024, "height": 1024, "prompt": "abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-05T05:26:04.363752Z", "created_at": "2023-12-05T05:25:55.004426Z", "data_removed": false, "error": null, "id": "3jalf4lbmp33wkn64xz667foce", "input": { "seed": 29725, "width": 1024, "height": 1024, "prompt": "abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 }, "logs": "Using seed: 29725\nPrompt: abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin\ntxt2img mode\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:07, 5.01it/s]\n 5%|▌ | 2/40 [00:00<00:07, 4.99it/s]\n 8%|▊ | 3/40 [00:00<00:07, 4.97it/s]\n 10%|█ | 4/40 [00:00<00:07, 4.95it/s]\n 12%|█▎ | 5/40 [00:01<00:07, 4.92it/s]\n 15%|█▌ | 6/40 [00:01<00:06, 4.92it/s]\n 18%|█▊ | 7/40 [00:01<00:06, 4.93it/s]\n 20%|██ | 8/40 [00:01<00:06, 4.92it/s]\n 22%|██▎ | 9/40 [00:01<00:06, 4.92it/s]\n 25%|██▌ | 10/40 [00:02<00:06, 4.91it/s]\n 28%|██▊ | 11/40 [00:02<00:05, 4.91it/s]\n 30%|███ | 12/40 [00:02<00:05, 4.92it/s]\n 32%|███▎ | 13/40 [00:02<00:05, 4.93it/s]\n 35%|███▌ | 14/40 [00:02<00:05, 4.94it/s]\n 38%|███▊ | 15/40 [00:03<00:05, 4.94it/s]\n 40%|████ | 16/40 [00:03<00:04, 4.95it/s]\n 42%|████▎ | 17/40 [00:03<00:04, 4.95it/s]\n 45%|████▌ | 18/40 [00:03<00:04, 4.96it/s]\n 48%|████▊ | 19/40 [00:03<00:04, 4.95it/s]\n 50%|█████ | 20/40 [00:04<00:04, 4.95it/s]\n 52%|█████▎ | 21/40 [00:04<00:03, 4.94it/s]\n 55%|█████▌ | 22/40 [00:04<00:03, 4.94it/s]\n 57%|█████▊ | 23/40 [00:04<00:03, 4.95it/s]\n 60%|██████ | 24/40 [00:04<00:03, 4.95it/s]\n 62%|██████▎ | 25/40 [00:05<00:03, 4.95it/s]\n 65%|██████▌ | 26/40 [00:05<00:02, 4.95it/s]\n 68%|██████▊ | 27/40 [00:05<00:02, 4.95it/s]\n 70%|███████ | 28/40 [00:05<00:02, 4.95it/s]\n 72%|███████▎ | 29/40 [00:05<00:02, 4.95it/s]\n 75%|███████▌ | 30/40 [00:06<00:02, 4.94it/s]\n 78%|███████▊ | 31/40 [00:06<00:01, 4.94it/s]\n 80%|████████ | 32/40 [00:06<00:01, 4.94it/s]\n 82%|████████▎ | 33/40 [00:06<00:01, 4.94it/s]\n 85%|████████▌ | 34/40 [00:06<00:01, 4.94it/s]\n 88%|████████▊ | 35/40 [00:07<00:01, 4.94it/s]\n 90%|█████████ | 36/40 [00:07<00:00, 4.94it/s]\n 92%|█████████▎| 37/40 [00:07<00:00, 4.94it/s]\n 95%|█████████▌| 38/40 [00:07<00:00, 4.94it/s]\n 98%|█████████▊| 39/40 [00:07<00:00, 4.94it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.94it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.94it/s]", "metrics": { "predict_time": 9.354764, "total_time": 9.359326 }, "output": [ "https://replicate.delivery/pbxt/UvD71dlfwj0DeE6mf2J4LqxQTNBQvBewHQ3grO4EVghtmZ8HB/out-0.png" ], "started_at": "2023-12-05T05:25:55.008988Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/3jalf4lbmp33wkn64xz667foce", "cancel": "https://api.replicate.com/v1/predictions/3jalf4lbmp33wkn64xz667foce/cancel" }, "version": "6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382" }
Generated inUsing seed: 29725 Prompt: abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin txt2img mode 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:07, 5.01it/s] 5%|▌ | 2/40 [00:00<00:07, 4.99it/s] 8%|▊ | 3/40 [00:00<00:07, 4.97it/s] 10%|█ | 4/40 [00:00<00:07, 4.95it/s] 12%|█▎ | 5/40 [00:01<00:07, 4.92it/s] 15%|█▌ | 6/40 [00:01<00:06, 4.92it/s] 18%|█▊ | 7/40 [00:01<00:06, 4.93it/s] 20%|██ | 8/40 [00:01<00:06, 4.92it/s] 22%|██▎ | 9/40 [00:01<00:06, 4.92it/s] 25%|██▌ | 10/40 [00:02<00:06, 4.91it/s] 28%|██▊ | 11/40 [00:02<00:05, 4.91it/s] 30%|███ | 12/40 [00:02<00:05, 4.92it/s] 32%|███▎ | 13/40 [00:02<00:05, 4.93it/s] 35%|███▌ | 14/40 [00:02<00:05, 4.94it/s] 38%|███▊ | 15/40 [00:03<00:05, 4.94it/s] 40%|████ | 16/40 [00:03<00:04, 4.95it/s] 42%|████▎ | 17/40 [00:03<00:04, 4.95it/s] 45%|████▌ | 18/40 [00:03<00:04, 4.96it/s] 48%|████▊ | 19/40 [00:03<00:04, 4.95it/s] 50%|█████ | 20/40 [00:04<00:04, 4.95it/s] 52%|█████▎ | 21/40 [00:04<00:03, 4.94it/s] 55%|█████▌ | 22/40 [00:04<00:03, 4.94it/s] 57%|█████▊ | 23/40 [00:04<00:03, 4.95it/s] 60%|██████ | 24/40 [00:04<00:03, 4.95it/s] 62%|██████▎ | 25/40 [00:05<00:03, 4.95it/s] 65%|██████▌ | 26/40 [00:05<00:02, 4.95it/s] 68%|██████▊ | 27/40 [00:05<00:02, 4.95it/s] 70%|███████ | 28/40 [00:05<00:02, 4.95it/s] 72%|███████▎ | 29/40 [00:05<00:02, 4.95it/s] 75%|███████▌ | 30/40 [00:06<00:02, 4.94it/s] 78%|███████▊ | 31/40 [00:06<00:01, 4.94it/s] 80%|████████ | 32/40 [00:06<00:01, 4.94it/s] 82%|████████▎ | 33/40 [00:06<00:01, 4.94it/s] 85%|████████▌ | 34/40 [00:06<00:01, 4.94it/s] 88%|████████▊ | 35/40 [00:07<00:01, 4.94it/s] 90%|█████████ | 36/40 [00:07<00:00, 4.94it/s] 92%|█████████▎| 37/40 [00:07<00:00, 4.94it/s] 95%|█████████▌| 38/40 [00:07<00:00, 4.94it/s] 98%|█████████▊| 39/40 [00:07<00:00, 4.94it/s] 100%|██████████| 40/40 [00:08<00:00, 4.94it/s] 100%|██████████| 40/40 [00:08<00:00, 4.94it/s]
Prediction
asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382IDthwufatbrdnm4bc2x5cp7oobvmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 29725
- width
- 1024
- height
- 1024
- prompt
- A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K
- strength
- 1
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7
- negative_prompt
- (worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)
- num_inference_steps
- 40
{ "seed": 29725, "width": 1024, "height": 1024, "prompt": "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", { input: { seed: 29725, width: 1024, height: 1024, prompt: "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K", strength: 1, scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7, negative_prompt: "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", num_inference_steps: 40 } } ); // 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 replicate
Import the client:import replicate
Run asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", input={ "seed": 29725, "width": 1024, "height": 1024, "prompt": "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run asiryan/juggernaut-xl-v7 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": "6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", "input": { "seed": 29725, "width": 1024, "height": 1024, "prompt": "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-05T05:27:14.070701Z", "created_at": "2023-12-05T05:27:04.629817Z", "data_removed": false, "error": null, "id": "thwufatbrdnm4bc2x5cp7oobvm", "input": { "seed": 29725, "width": 1024, "height": 1024, "prompt": "A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 }, "logs": "Using seed: 29725\nPrompt: A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K\ntxt2img mode\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:07, 5.00it/s]\n 5%|▌ | 2/40 [00:00<00:07, 4.96it/s]\n 8%|▊ | 3/40 [00:00<00:07, 4.95it/s]\n 10%|█ | 4/40 [00:00<00:07, 4.94it/s]\n 12%|█▎ | 5/40 [00:01<00:07, 4.92it/s]\n 15%|█▌ | 6/40 [00:01<00:06, 4.92it/s]\n 18%|█▊ | 7/40 [00:01<00:06, 4.92it/s]\n 20%|██ | 8/40 [00:01<00:06, 4.92it/s]\n 22%|██▎ | 9/40 [00:01<00:06, 4.92it/s]\n 25%|██▌ | 10/40 [00:02<00:06, 4.91it/s]\n 28%|██▊ | 11/40 [00:02<00:05, 4.91it/s]\n 30%|███ | 12/40 [00:02<00:05, 4.93it/s]\n 32%|███▎ | 13/40 [00:02<00:05, 4.94it/s]\n 35%|███▌ | 14/40 [00:02<00:05, 4.94it/s]\n 38%|███▊ | 15/40 [00:03<00:05, 4.94it/s]\n 40%|████ | 16/40 [00:03<00:04, 4.94it/s]\n 42%|████▎ | 17/40 [00:03<00:04, 4.94it/s]\n 45%|████▌ | 18/40 [00:03<00:04, 4.95it/s]\n 48%|████▊ | 19/40 [00:03<00:04, 4.95it/s]\n 50%|█████ | 20/40 [00:04<00:04, 4.95it/s]\n 52%|█████▎ | 21/40 [00:04<00:03, 4.95it/s]\n 55%|█████▌ | 22/40 [00:04<00:03, 4.95it/s]\n 57%|█████▊ | 23/40 [00:04<00:03, 4.95it/s]\n 60%|██████ | 24/40 [00:04<00:03, 4.95it/s]\n 62%|██████▎ | 25/40 [00:05<00:03, 4.94it/s]\n 65%|██████▌ | 26/40 [00:05<00:02, 4.94it/s]\n 68%|██████▊ | 27/40 [00:05<00:02, 4.94it/s]\n 70%|███████ | 28/40 [00:05<00:02, 4.94it/s]\n 72%|███████▎ | 29/40 [00:05<00:02, 4.95it/s]\n 75%|███████▌ | 30/40 [00:06<00:02, 4.94it/s]\n 78%|███████▊ | 31/40 [00:06<00:01, 4.95it/s]\n 80%|████████ | 32/40 [00:06<00:01, 4.94it/s]\n 82%|████████▎ | 33/40 [00:06<00:01, 4.94it/s]\n 85%|████████▌ | 34/40 [00:06<00:01, 4.94it/s]\n 88%|████████▊ | 35/40 [00:07<00:01, 4.93it/s]\n 90%|█████████ | 36/40 [00:07<00:00, 4.94it/s]\n 92%|█████████▎| 37/40 [00:07<00:00, 4.94it/s]\n 95%|█████████▌| 38/40 [00:07<00:00, 4.94it/s]\n 98%|█████████▊| 39/40 [00:07<00:00, 4.94it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.93it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.94it/s]", "metrics": { "predict_time": 9.437005, "total_time": 9.440884 }, "output": [ "https://replicate.delivery/pbxt/lqJ4PXrcZfUjdaqRzlnAVvSX5wfiBNQFxnDQygnRutNxaGfjA/out-0.png" ], "started_at": "2023-12-05T05:27:04.633696Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/thwufatbrdnm4bc2x5cp7oobvm", "cancel": "https://api.replicate.com/v1/predictions/thwufatbrdnm4bc2x5cp7oobvm/cancel" }, "version": "6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382" }
Generated inUsing seed: 29725 Prompt: A cute monster, colorful, clutter, ultra detailed, mysterious, scary, perfect environment, cinematic lighting, product photography, unreal engine, 8K txt2img mode 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:07, 5.00it/s] 5%|▌ | 2/40 [00:00<00:07, 4.96it/s] 8%|▊ | 3/40 [00:00<00:07, 4.95it/s] 10%|█ | 4/40 [00:00<00:07, 4.94it/s] 12%|█▎ | 5/40 [00:01<00:07, 4.92it/s] 15%|█▌ | 6/40 [00:01<00:06, 4.92it/s] 18%|█▊ | 7/40 [00:01<00:06, 4.92it/s] 20%|██ | 8/40 [00:01<00:06, 4.92it/s] 22%|██▎ | 9/40 [00:01<00:06, 4.92it/s] 25%|██▌ | 10/40 [00:02<00:06, 4.91it/s] 28%|██▊ | 11/40 [00:02<00:05, 4.91it/s] 30%|███ | 12/40 [00:02<00:05, 4.93it/s] 32%|███▎ | 13/40 [00:02<00:05, 4.94it/s] 35%|███▌ | 14/40 [00:02<00:05, 4.94it/s] 38%|███▊ | 15/40 [00:03<00:05, 4.94it/s] 40%|████ | 16/40 [00:03<00:04, 4.94it/s] 42%|████▎ | 17/40 [00:03<00:04, 4.94it/s] 45%|████▌ | 18/40 [00:03<00:04, 4.95it/s] 48%|████▊ | 19/40 [00:03<00:04, 4.95it/s] 50%|█████ | 20/40 [00:04<00:04, 4.95it/s] 52%|█████▎ | 21/40 [00:04<00:03, 4.95it/s] 55%|█████▌ | 22/40 [00:04<00:03, 4.95it/s] 57%|█████▊ | 23/40 [00:04<00:03, 4.95it/s] 60%|██████ | 24/40 [00:04<00:03, 4.95it/s] 62%|██████▎ | 25/40 [00:05<00:03, 4.94it/s] 65%|██████▌ | 26/40 [00:05<00:02, 4.94it/s] 68%|██████▊ | 27/40 [00:05<00:02, 4.94it/s] 70%|███████ | 28/40 [00:05<00:02, 4.94it/s] 72%|███████▎ | 29/40 [00:05<00:02, 4.95it/s] 75%|███████▌ | 30/40 [00:06<00:02, 4.94it/s] 78%|███████▊ | 31/40 [00:06<00:01, 4.95it/s] 80%|████████ | 32/40 [00:06<00:01, 4.94it/s] 82%|████████▎ | 33/40 [00:06<00:01, 4.94it/s] 85%|████████▌ | 34/40 [00:06<00:01, 4.94it/s] 88%|████████▊ | 35/40 [00:07<00:01, 4.93it/s] 90%|█████████ | 36/40 [00:07<00:00, 4.94it/s] 92%|█████████▎| 37/40 [00:07<00:00, 4.94it/s] 95%|█████████▌| 38/40 [00:07<00:00, 4.94it/s] 98%|█████████▊| 39/40 [00:07<00:00, 4.94it/s] 100%|██████████| 40/40 [00:08<00:00, 4.93it/s] 100%|██████████| 40/40 [00:08<00:00, 4.94it/s]
Prediction
asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382IDiirnpadbsrnkipuyr7apjrvxuuStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 29725
- width
- 1024
- height
- 1024
- prompt
- Architecture Photography, eiffel tower, azure and red tones, photo 4k, art work, bright day, 6 k
- strength
- 1
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7
- negative_prompt
- (worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)
- num_inference_steps
- 40
{ "seed": 29725, "width": 1024, "height": 1024, "prompt": "Architecture Photography, eiffel tower, azure and red tones, photo 4k, art work, bright day, 6 k", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", { input: { seed: 29725, width: 1024, height: 1024, prompt: "Architecture Photography, eiffel tower, azure and red tones, photo 4k, art work, bright day, 6 k", strength: 1, scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7, negative_prompt: "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", num_inference_steps: 40 } } ); // 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 replicate
Import the client:import replicate
Run asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", input={ "seed": 29725, "width": 1024, "height": 1024, "prompt": "Architecture Photography, eiffel tower, azure and red tones, photo 4k, art work, bright day, 6 k", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run asiryan/juggernaut-xl-v7 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": "6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", "input": { "seed": 29725, "width": 1024, "height": 1024, "prompt": "Architecture Photography, eiffel tower, azure and red tones, photo 4k, art work, bright day, 6 k", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-05T05:28:58.738031Z", "created_at": "2023-12-05T05:28:49.282575Z", "data_removed": false, "error": null, "id": "iirnpadbsrnkipuyr7apjrvxuu", "input": { "seed": 29725, "width": 1024, "height": 1024, "prompt": "Architecture Photography, eiffel tower, azure and red tones, photo 4k, art work, bright day, 6 k", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 }, "logs": "Using seed: 29725\nPrompt: Architecture Photography, eiffel tower, azure and red tones, photo 4k, art work, bright day, 6 k\ntxt2img mode\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:07, 5.01it/s]\n 5%|▌ | 2/40 [00:00<00:07, 4.99it/s]\n 8%|▊ | 3/40 [00:00<00:07, 4.97it/s]\n 10%|█ | 4/40 [00:00<00:07, 4.95it/s]\n 12%|█▎ | 5/40 [00:01<00:07, 4.91it/s]\n 15%|█▌ | 6/40 [00:01<00:06, 4.91it/s]\n 18%|█▊ | 7/40 [00:01<00:06, 4.92it/s]\n 20%|██ | 8/40 [00:01<00:06, 4.92it/s]\n 22%|██▎ | 9/40 [00:01<00:06, 4.92it/s]\n 25%|██▌ | 10/40 [00:02<00:06, 4.91it/s]\n 28%|██▊ | 11/40 [00:02<00:05, 4.90it/s]\n 30%|███ | 12/40 [00:02<00:05, 4.92it/s]\n 32%|███▎ | 13/40 [00:02<00:05, 4.93it/s]\n 35%|███▌ | 14/40 [00:02<00:05, 4.94it/s]\n 38%|███▊ | 15/40 [00:03<00:05, 4.94it/s]\n 40%|████ | 16/40 [00:03<00:04, 4.94it/s]\n 42%|████▎ | 17/40 [00:03<00:04, 4.94it/s]\n 45%|████▌ | 18/40 [00:03<00:04, 4.94it/s]\n 48%|████▊ | 19/40 [00:03<00:04, 4.94it/s]\n 50%|█████ | 20/40 [00:04<00:04, 4.94it/s]\n 52%|█████▎ | 21/40 [00:04<00:03, 4.94it/s]\n 55%|█████▌ | 22/40 [00:04<00:03, 4.94it/s]\n 57%|█████▊ | 23/40 [00:04<00:03, 4.94it/s]\n 60%|██████ | 24/40 [00:04<00:03, 4.94it/s]\n 62%|██████▎ | 25/40 [00:05<00:03, 4.94it/s]\n 65%|██████▌ | 26/40 [00:05<00:02, 4.93it/s]\n 68%|██████▊ | 27/40 [00:05<00:02, 4.93it/s]\n 70%|███████ | 28/40 [00:05<00:02, 4.93it/s]\n 72%|███████▎ | 29/40 [00:05<00:02, 4.94it/s]\n 75%|███████▌ | 30/40 [00:06<00:02, 4.94it/s]\n 78%|███████▊ | 31/40 [00:06<00:01, 4.94it/s]\n 80%|████████ | 32/40 [00:06<00:01, 4.93it/s]\n 82%|████████▎ | 33/40 [00:06<00:01, 4.93it/s]\n 85%|████████▌ | 34/40 [00:06<00:01, 4.93it/s]\n 88%|████████▊ | 35/40 [00:07<00:01, 4.94it/s]\n 90%|█████████ | 36/40 [00:07<00:00, 4.94it/s]\n 92%|█████████▎| 37/40 [00:07<00:00, 4.94it/s]\n 95%|█████████▌| 38/40 [00:07<00:00, 4.94it/s]\n 98%|█████████▊| 39/40 [00:07<00:00, 4.94it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.93it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.93it/s]", "metrics": { "predict_time": 9.45096, "total_time": 9.455456 }, "output": [ "https://replicate.delivery/pbxt/89MTJMH3zJpZGV4MTEfeFf5rjGmREYqseDuGO30arclpxZ8HB/out-0.png" ], "started_at": "2023-12-05T05:28:49.287071Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/iirnpadbsrnkipuyr7apjrvxuu", "cancel": "https://api.replicate.com/v1/predictions/iirnpadbsrnkipuyr7apjrvxuu/cancel" }, "version": "6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382" }
Generated inUsing seed: 29725 Prompt: Architecture Photography, eiffel tower, azure and red tones, photo 4k, art work, bright day, 6 k txt2img mode 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:07, 5.01it/s] 5%|▌ | 2/40 [00:00<00:07, 4.99it/s] 8%|▊ | 3/40 [00:00<00:07, 4.97it/s] 10%|█ | 4/40 [00:00<00:07, 4.95it/s] 12%|█▎ | 5/40 [00:01<00:07, 4.91it/s] 15%|█▌ | 6/40 [00:01<00:06, 4.91it/s] 18%|█▊ | 7/40 [00:01<00:06, 4.92it/s] 20%|██ | 8/40 [00:01<00:06, 4.92it/s] 22%|██▎ | 9/40 [00:01<00:06, 4.92it/s] 25%|██▌ | 10/40 [00:02<00:06, 4.91it/s] 28%|██▊ | 11/40 [00:02<00:05, 4.90it/s] 30%|███ | 12/40 [00:02<00:05, 4.92it/s] 32%|███▎ | 13/40 [00:02<00:05, 4.93it/s] 35%|███▌ | 14/40 [00:02<00:05, 4.94it/s] 38%|███▊ | 15/40 [00:03<00:05, 4.94it/s] 40%|████ | 16/40 [00:03<00:04, 4.94it/s] 42%|████▎ | 17/40 [00:03<00:04, 4.94it/s] 45%|████▌ | 18/40 [00:03<00:04, 4.94it/s] 48%|████▊ | 19/40 [00:03<00:04, 4.94it/s] 50%|█████ | 20/40 [00:04<00:04, 4.94it/s] 52%|█████▎ | 21/40 [00:04<00:03, 4.94it/s] 55%|█████▌ | 22/40 [00:04<00:03, 4.94it/s] 57%|█████▊ | 23/40 [00:04<00:03, 4.94it/s] 60%|██████ | 24/40 [00:04<00:03, 4.94it/s] 62%|██████▎ | 25/40 [00:05<00:03, 4.94it/s] 65%|██████▌ | 26/40 [00:05<00:02, 4.93it/s] 68%|██████▊ | 27/40 [00:05<00:02, 4.93it/s] 70%|███████ | 28/40 [00:05<00:02, 4.93it/s] 72%|███████▎ | 29/40 [00:05<00:02, 4.94it/s] 75%|███████▌ | 30/40 [00:06<00:02, 4.94it/s] 78%|███████▊ | 31/40 [00:06<00:01, 4.94it/s] 80%|████████ | 32/40 [00:06<00:01, 4.93it/s] 82%|████████▎ | 33/40 [00:06<00:01, 4.93it/s] 85%|████████▌ | 34/40 [00:06<00:01, 4.93it/s] 88%|████████▊ | 35/40 [00:07<00:01, 4.94it/s] 90%|█████████ | 36/40 [00:07<00:00, 4.94it/s] 92%|█████████▎| 37/40 [00:07<00:00, 4.94it/s] 95%|█████████▌| 38/40 [00:07<00:00, 4.94it/s] 98%|█████████▊| 39/40 [00:07<00:00, 4.94it/s] 100%|██████████| 40/40 [00:08<00:00, 4.93it/s] 100%|██████████| 40/40 [00:08<00:00, 4.93it/s]
Prediction
asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382IDgjhv2xlb2uth6xkwwtuai5ybtmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 29725
- width
- 1024
- height
- 1024
- prompt
- fashion photography portrait of blue human avatar, in blue lush jungle with flowers and birds, symetrical, octane render, 35mm, bokeh, 9:16, (intricate details:1.12), hdr, (intricate details, hyperdetailed:1.15), (natural skin texture, hyperrealism, soft light, sharp:1.2)
- strength
- 1
- scheduler
- K_EULER_ANCESTRAL
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7
- negative_prompt
- (worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)
- num_inference_steps
- 40
{ "seed": 29725, "width": 1024, "height": 1024, "prompt": "fashion photography portrait of blue human avatar, in blue lush jungle with flowers and birds, symetrical, octane render, 35mm, bokeh, 9:16, (intricate details:1.12), hdr, (intricate details, hyperdetailed:1.15), (natural skin texture, hyperrealism, soft light, sharp:1.2)", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", { input: { seed: 29725, width: 1024, height: 1024, prompt: "fashion photography portrait of blue human avatar, in blue lush jungle with flowers and birds, symetrical, octane render, 35mm, bokeh, 9:16, (intricate details:1.12), hdr, (intricate details, hyperdetailed:1.15), (natural skin texture, hyperrealism, soft light, sharp:1.2)", strength: 1, scheduler: "K_EULER_ANCESTRAL", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7, negative_prompt: "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", num_inference_steps: 40 } } ); // 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 replicate
Import the client:import replicate
Run asiryan/juggernaut-xl-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "asiryan/juggernaut-xl-v7:6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", input={ "seed": 29725, "width": 1024, "height": 1024, "prompt": "fashion photography portrait of blue human avatar, in blue lush jungle with flowers and birds, symetrical, octane render, 35mm, bokeh, 9:16, (intricate details:1.12), hdr, (intricate details, hyperdetailed:1.15), (natural skin texture, hyperrealism, soft light, sharp:1.2)", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run asiryan/juggernaut-xl-v7 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": "6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382", "input": { "seed": 29725, "width": 1024, "height": 1024, "prompt": "fashion photography portrait of blue human avatar, in blue lush jungle with flowers and birds, symetrical, octane render, 35mm, bokeh, 9:16, (intricate details:1.12), hdr, (intricate details, hyperdetailed:1.15), (natural skin texture, hyperrealism, soft light, sharp:1.2)", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-05T05:38:57.253802Z", "created_at": "2023-12-05T05:38:47.186886Z", "data_removed": false, "error": null, "id": "gjhv2xlb2uth6xkwwtuai5ybtm", "input": { "seed": 29725, "width": 1024, "height": 1024, "prompt": "fashion photography portrait of blue human avatar, in blue lush jungle with flowers and birds, symetrical, octane render, 35mm, bokeh, 9:16, (intricate details:1.12), hdr, (intricate details, hyperdetailed:1.15), (natural skin texture, hyperrealism, soft light, sharp:1.2)", "strength": 1, "scheduler": "K_EULER_ANCESTRAL", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7, "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 40 }, "logs": "Using seed: 29725\nPrompt: fashion photography portrait of blue human avatar, in blue lush jungle with flowers and birds, symetrical, octane render, 35mm, bokeh, 9:16, (intricate details:1.12), hdr, (intricate details, hyperdetailed:1.15), (natural skin texture, hyperrealism, soft light, sharp:1.2)\ntxt2img mode\nToken indices sequence length is longer than the specified maximum sequence length for this model (79 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['2 )']\nToken indices sequence length is longer than the specified maximum sequence length for this model (79 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['2 )']\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:07, 4.98it/s]\n 5%|▌ | 2/40 [00:00<00:07, 4.95it/s]\n 8%|▊ | 3/40 [00:00<00:07, 4.94it/s]\n 10%|█ | 4/40 [00:00<00:07, 4.93it/s]\n 12%|█▎ | 5/40 [00:01<00:07, 4.90it/s]\n 15%|█▌ | 6/40 [00:01<00:06, 4.90it/s]\n 18%|█▊ | 7/40 [00:01<00:06, 4.90it/s]\n 20%|██ | 8/40 [00:01<00:06, 4.90it/s]\n 22%|██▎ | 9/40 [00:01<00:06, 4.90it/s]\n 25%|██▌ | 10/40 [00:02<00:06, 4.89it/s]\n 28%|██▊ | 11/40 [00:02<00:05, 4.89it/s]\n 30%|███ | 12/40 [00:02<00:05, 4.90it/s]\n 32%|███▎ | 13/40 [00:02<00:05, 4.91it/s]\n 35%|███▌ | 14/40 [00:02<00:05, 4.92it/s]\n 38%|███▊ | 15/40 [00:03<00:05, 4.92it/s]\n 40%|████ | 16/40 [00:03<00:04, 4.92it/s]\n 42%|████▎ | 17/40 [00:03<00:04, 4.92it/s]\n 45%|████▌ | 18/40 [00:03<00:04, 4.93it/s]\n 48%|████▊ | 19/40 [00:03<00:04, 4.94it/s]\n 50%|█████ | 20/40 [00:04<00:04, 4.93it/s]\n 52%|█████▎ | 21/40 [00:04<00:03, 4.93it/s]\n 55%|█████▌ | 22/40 [00:04<00:03, 4.92it/s]\n 57%|█████▊ | 23/40 [00:04<00:03, 4.92it/s]\n 60%|██████ | 24/40 [00:04<00:03, 4.92it/s]\n 62%|██████▎ | 25/40 [00:05<00:03, 4.93it/s]\n 65%|██████▌ | 26/40 [00:05<00:02, 4.93it/s]\n 68%|██████▊ | 27/40 [00:05<00:02, 4.92it/s]\n 70%|███████ | 28/40 [00:05<00:02, 4.92it/s]\n 72%|███████▎ | 29/40 [00:05<00:02, 4.92it/s]\n 75%|███████▌ | 30/40 [00:06<00:02, 4.92it/s]\n 78%|███████▊ | 31/40 [00:06<00:01, 4.92it/s]\n 80%|████████ | 32/40 [00:06<00:01, 4.92it/s]\n 82%|████████▎ | 33/40 [00:06<00:01, 4.92it/s]\n 85%|████████▌ | 34/40 [00:06<00:01, 4.91it/s]\n 88%|████████▊ | 35/40 [00:07<00:01, 4.92it/s]\n 90%|█████████ | 36/40 [00:07<00:00, 4.92it/s]\n 92%|█████████▎| 37/40 [00:07<00:00, 4.92it/s]\n 95%|█████████▌| 38/40 [00:07<00:00, 4.92it/s]\n 98%|█████████▊| 39/40 [00:07<00:00, 4.92it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.92it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.92it/s]", "metrics": { "predict_time": 10.027936, "total_time": 10.066916 }, "output": [ "https://replicate.delivery/pbxt/m1iw9my0zcqBHhrsWJc0mCyypXulpsYYwkJIwXYVSIAcpxfIA/out-0.png" ], "started_at": "2023-12-05T05:38:47.225866Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/gjhv2xlb2uth6xkwwtuai5ybtm", "cancel": "https://api.replicate.com/v1/predictions/gjhv2xlb2uth6xkwwtuai5ybtm/cancel" }, "version": "6a52feace43ce1f6bbc2cdabfc68423cb2319d7444a1a1dae529c5e88b976382" }
Generated inUsing seed: 29725 Prompt: fashion photography portrait of blue human avatar, in blue lush jungle with flowers and birds, symetrical, octane render, 35mm, bokeh, 9:16, (intricate details:1.12), hdr, (intricate details, hyperdetailed:1.15), (natural skin texture, hyperrealism, soft light, sharp:1.2) txt2img mode Token indices sequence length is longer than the specified maximum sequence length for this model (79 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['2 )'] Token indices sequence length is longer than the specified maximum sequence length for this model (79 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['2 )'] 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:07, 4.98it/s] 5%|▌ | 2/40 [00:00<00:07, 4.95it/s] 8%|▊ | 3/40 [00:00<00:07, 4.94it/s] 10%|█ | 4/40 [00:00<00:07, 4.93it/s] 12%|█▎ | 5/40 [00:01<00:07, 4.90it/s] 15%|█▌ | 6/40 [00:01<00:06, 4.90it/s] 18%|█▊ | 7/40 [00:01<00:06, 4.90it/s] 20%|██ | 8/40 [00:01<00:06, 4.90it/s] 22%|██▎ | 9/40 [00:01<00:06, 4.90it/s] 25%|██▌ | 10/40 [00:02<00:06, 4.89it/s] 28%|██▊ | 11/40 [00:02<00:05, 4.89it/s] 30%|███ | 12/40 [00:02<00:05, 4.90it/s] 32%|███▎ | 13/40 [00:02<00:05, 4.91it/s] 35%|███▌ | 14/40 [00:02<00:05, 4.92it/s] 38%|███▊ | 15/40 [00:03<00:05, 4.92it/s] 40%|████ | 16/40 [00:03<00:04, 4.92it/s] 42%|████▎ | 17/40 [00:03<00:04, 4.92it/s] 45%|████▌ | 18/40 [00:03<00:04, 4.93it/s] 48%|████▊ | 19/40 [00:03<00:04, 4.94it/s] 50%|█████ | 20/40 [00:04<00:04, 4.93it/s] 52%|█████▎ | 21/40 [00:04<00:03, 4.93it/s] 55%|█████▌ | 22/40 [00:04<00:03, 4.92it/s] 57%|█████▊ | 23/40 [00:04<00:03, 4.92it/s] 60%|██████ | 24/40 [00:04<00:03, 4.92it/s] 62%|██████▎ | 25/40 [00:05<00:03, 4.93it/s] 65%|██████▌ | 26/40 [00:05<00:02, 4.93it/s] 68%|██████▊ | 27/40 [00:05<00:02, 4.92it/s] 70%|███████ | 28/40 [00:05<00:02, 4.92it/s] 72%|███████▎ | 29/40 [00:05<00:02, 4.92it/s] 75%|███████▌ | 30/40 [00:06<00:02, 4.92it/s] 78%|███████▊ | 31/40 [00:06<00:01, 4.92it/s] 80%|████████ | 32/40 [00:06<00:01, 4.92it/s] 82%|████████▎ | 33/40 [00:06<00:01, 4.92it/s] 85%|████████▌ | 34/40 [00:06<00:01, 4.91it/s] 88%|████████▊ | 35/40 [00:07<00:01, 4.92it/s] 90%|█████████ | 36/40 [00:07<00:00, 4.92it/s] 92%|█████████▎| 37/40 [00:07<00:00, 4.92it/s] 95%|█████████▌| 38/40 [00:07<00:00, 4.92it/s] 98%|█████████▊| 39/40 [00:07<00:00, 4.92it/s] 100%|██████████| 40/40 [00:08<00:00, 4.92it/s] 100%|██████████| 40/40 [00:08<00:00, 4.92it/s]
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