jbilcke / sdxl-akira
(Updated 1 year, 7 months ago)
- Public
- 232 runs
- SDXL fine-tune
Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDaqmb7v3blqskphxyk753kk2dqmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- A rockstar doing a concert in the street, nightfall, akira, anime, in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.9
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 768, "prompt": "A rockstar doing a concert in the street, nightfall, akira, anime, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.9, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: "A rockstar doing a concert in the street, nightfall, akira, anime, in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.9, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": "A rockstar doing a concert in the street, nightfall, akira, anime, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.9, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": "A rockstar doing a concert in the street, nightfall, akira, anime, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.9, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:20:42.792396Z", "created_at": "2023-10-27T10:20:31.338088Z", "data_removed": false, "error": null, "id": "aqmb7v3blqskphxyk753kk2dqm", "input": { "width": 1024, "height": 768, "prompt": "A rockstar doing a concert in the street, nightfall, akira, anime, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.9, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 36536\nPrompt: A rockstar doing a concert in the street, nightfall, akira, anime, in the style of <s0><s1>\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, 4.98it/s]\n 10%|█ | 4/40 [00:00<00:07, 4.97it/s]\n 12%|█▎ | 5/40 [00:01<00:07, 4.96it/s]\n 15%|█▌ | 6/40 [00:01<00:06, 4.96it/s]\n 18%|█▊ | 7/40 [00:01<00:06, 4.96it/s]\n 20%|██ | 8/40 [00:01<00:06, 4.95it/s]\n 22%|██▎ | 9/40 [00:01<00:06, 4.95it/s]\n 25%|██▌ | 10/40 [00:02<00:06, 4.95it/s]\n 28%|██▊ | 11/40 [00:02<00:05, 4.95it/s]\n 30%|███ | 12/40 [00:02<00:05, 4.95it/s]\n 32%|███▎ | 13/40 [00:02<00:05, 4.95it/s]\n 35%|███▌ | 14/40 [00:02<00:05, 4.95it/s]\n 38%|███▊ | 15/40 [00:03<00:05, 4.95it/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, 4.96it/s]\n 50%|█████ | 20/40 [00:04<00:04, 4.96it/s]\n 52%|█████▎ | 21/40 [00:04<00:03, 4.97it/s]\n 55%|█████▌ | 22/40 [00:04<00:03, 4.97it/s]\n 57%|█████▊ | 23/40 [00:04<00:03, 4.97it/s]\n 60%|██████ | 24/40 [00:04<00:03, 4.97it/s]\n 62%|██████▎ | 25/40 [00:05<00:03, 4.97it/s]\n 65%|██████▌ | 26/40 [00:05<00:02, 4.97it/s]\n 68%|██████▊ | 27/40 [00:05<00:02, 4.97it/s]\n 70%|███████ | 28/40 [00:05<00:02, 4.97it/s]\n 72%|███████▎ | 29/40 [00:05<00:02, 4.96it/s]\n 75%|███████▌ | 30/40 [00:06<00:02, 4.96it/s]\n 78%|███████▊ | 31/40 [00:06<00:01, 4.97it/s]\n 80%|████████ | 32/40 [00:06<00:01, 4.97it/s]\n 82%|████████▎ | 33/40 [00:06<00:01, 4.96it/s]\n 85%|████████▌ | 34/40 [00:06<00:01, 4.96it/s]\n 88%|████████▊ | 35/40 [00:07<00:01, 4.96it/s]\n 90%|█████████ | 36/40 [00:07<00:00, 4.97it/s]\n 92%|█████████▎| 37/40 [00:07<00:00, 4.97it/s]\n 95%|█████████▌| 38/40 [00:07<00:00, 4.97it/s]\n 98%|█████████▊| 39/40 [00:07<00:00, 4.96it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.97it/s]\n100%|██████████| 40/40 [00:08<00:00, 4.96it/s]\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:01, 6.39it/s]\n 20%|██ | 2/10 [00:00<00:01, 6.34it/s]\n 30%|███ | 3/10 [00:00<00:01, 6.33it/s]\n 40%|████ | 4/10 [00:00<00:00, 6.32it/s]\n 50%|█████ | 5/10 [00:00<00:00, 6.31it/s]\n 60%|██████ | 6/10 [00:00<00:00, 6.27it/s]\n 70%|███████ | 7/10 [00:01<00:00, 6.27it/s]\n 80%|████████ | 8/10 [00:01<00:00, 6.28it/s]\n 90%|█████████ | 9/10 [00:01<00:00, 6.28it/s]\n100%|██████████| 10/10 [00:01<00:00, 6.29it/s]\n100%|██████████| 10/10 [00:01<00:00, 6.29it/s]", "metrics": { "predict_time": 11.479826, "total_time": 11.454308 }, "output": [ "https://replicate.delivery/pbxt/zwZwk75DRS79JlDVjZG7ISJchwLPK7ciFmtu4lbLaHaeBK5IA/out-0.png" ], "started_at": "2023-10-27T10:20:31.312570Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/aqmb7v3blqskphxyk753kk2dqm", "cancel": "https://api.replicate.com/v1/predictions/aqmb7v3blqskphxyk753kk2dqm/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 36536 Prompt: A rockstar doing a concert in the street, nightfall, akira, anime, in the style of <s0><s1> 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, 4.98it/s] 10%|█ | 4/40 [00:00<00:07, 4.97it/s] 12%|█▎ | 5/40 [00:01<00:07, 4.96it/s] 15%|█▌ | 6/40 [00:01<00:06, 4.96it/s] 18%|█▊ | 7/40 [00:01<00:06, 4.96it/s] 20%|██ | 8/40 [00:01<00:06, 4.95it/s] 22%|██▎ | 9/40 [00:01<00:06, 4.95it/s] 25%|██▌ | 10/40 [00:02<00:06, 4.95it/s] 28%|██▊ | 11/40 [00:02<00:05, 4.95it/s] 30%|███ | 12/40 [00:02<00:05, 4.95it/s] 32%|███▎ | 13/40 [00:02<00:05, 4.95it/s] 35%|███▌ | 14/40 [00:02<00:05, 4.95it/s] 38%|███▊ | 15/40 [00:03<00:05, 4.95it/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, 4.96it/s] 50%|█████ | 20/40 [00:04<00:04, 4.96it/s] 52%|█████▎ | 21/40 [00:04<00:03, 4.97it/s] 55%|█████▌ | 22/40 [00:04<00:03, 4.97it/s] 57%|█████▊ | 23/40 [00:04<00:03, 4.97it/s] 60%|██████ | 24/40 [00:04<00:03, 4.97it/s] 62%|██████▎ | 25/40 [00:05<00:03, 4.97it/s] 65%|██████▌ | 26/40 [00:05<00:02, 4.97it/s] 68%|██████▊ | 27/40 [00:05<00:02, 4.97it/s] 70%|███████ | 28/40 [00:05<00:02, 4.97it/s] 72%|███████▎ | 29/40 [00:05<00:02, 4.96it/s] 75%|███████▌ | 30/40 [00:06<00:02, 4.96it/s] 78%|███████▊ | 31/40 [00:06<00:01, 4.97it/s] 80%|████████ | 32/40 [00:06<00:01, 4.97it/s] 82%|████████▎ | 33/40 [00:06<00:01, 4.96it/s] 85%|████████▌ | 34/40 [00:06<00:01, 4.96it/s] 88%|████████▊ | 35/40 [00:07<00:01, 4.96it/s] 90%|█████████ | 36/40 [00:07<00:00, 4.97it/s] 92%|█████████▎| 37/40 [00:07<00:00, 4.97it/s] 95%|█████████▌| 38/40 [00:07<00:00, 4.97it/s] 98%|█████████▊| 39/40 [00:07<00:00, 4.96it/s] 100%|██████████| 40/40 [00:08<00:00, 4.97it/s] 100%|██████████| 40/40 [00:08<00:00, 4.96it/s] 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.39it/s] 20%|██ | 2/10 [00:00<00:01, 6.34it/s] 30%|███ | 3/10 [00:00<00:01, 6.33it/s] 40%|████ | 4/10 [00:00<00:00, 6.32it/s] 50%|█████ | 5/10 [00:00<00:00, 6.31it/s] 60%|██████ | 6/10 [00:00<00:00, 6.27it/s] 70%|███████ | 7/10 [00:01<00:00, 6.27it/s] 80%|████████ | 8/10 [00:01<00:00, 6.28it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.28it/s] 100%|██████████| 10/10 [00:01<00:00, 6.29it/s] 100%|██████████| 10/10 [00:01<00:00, 6.29it/s]
Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDbmnsfd3bjyb355euaedgu7e4yqStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- A gang member woman, in the street, at night, medium-shot, akira, anime, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 768, "prompt": "A gang member woman, in the street, at night, medium-shot, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: "A gang member woman, in the street, at night, medium-shot, akira, anime, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": "A gang member woman, in the street, at night, medium-shot, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": "A gang member woman, in the street, at night, medium-shot, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:24:11.165277Z", "created_at": "2023-10-27T10:23:39.258296Z", "data_removed": false, "error": null, "id": "bmnsfd3bjyb355euaedgu7e4yq", "input": { "width": 1024, "height": 768, "prompt": "A gang member woman, in the street, at night, medium-shot, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 58466\nPrompt: A gang member woman, in the street, at night, medium-shot, akira, anime, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:23, 4.99it/s]\n 2%|▏ | 2/120 [00:00<00:23, 4.98it/s]\n 2%|▎ | 3/120 [00:00<00:23, 4.96it/s]\n 3%|▎ | 4/120 [00:00<00:23, 4.95it/s]\n 4%|▍ | 5/120 [00:01<00:23, 4.95it/s]\n 5%|▌ | 6/120 [00:01<00:22, 4.96it/s]\n 6%|▌ | 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4.92it/s]\n 98%|█████████▊| 117/120 [00:23<00:00, 4.93it/s]\n 98%|█████████▊| 118/120 [00:23<00:00, 4.93it/s]\n 99%|█████████▉| 119/120 [00:24<00:00, 4.93it/s]\n100%|██████████| 120/120 [00:24<00:00, 4.93it/s]\n100%|██████████| 120/120 [00:24<00:00, 4.94it/s]\n 0%| | 0/36 [00:00<?, ?it/s]\n 3%|▎ | 1/36 [00:00<00:05, 6.32it/s]\n 6%|▌ | 2/36 [00:00<00:05, 6.28it/s]\n 8%|▊ | 3/36 [00:00<00:05, 6.27it/s]\n 11%|█ | 4/36 [00:00<00:05, 6.26it/s]\n 14%|█▍ | 5/36 [00:00<00:04, 6.26it/s]\n 17%|█▋ | 6/36 [00:00<00:04, 6.23it/s]\n 19%|█▉ | 7/36 [00:01<00:04, 6.23it/s]\n 22%|██▏ | 8/36 [00:01<00:04, 6.22it/s]\n 25%|██▌ | 9/36 [00:01<00:04, 6.23it/s]\n 28%|██▊ | 10/36 [00:01<00:04, 6.23it/s]\n 31%|███ | 11/36 [00:01<00:04, 6.23it/s]\n 33%|███▎ | 12/36 [00:01<00:03, 6.22it/s]\n 36%|███▌ | 13/36 [00:02<00:03, 6.21it/s]\n 39%|███▉ | 14/36 [00:02<00:03, 6.21it/s]\n 42%|████▏ | 15/36 [00:02<00:03, 6.22it/s]\n 44%|████▍ | 16/36 [00:02<00:03, 6.23it/s]\n 47%|████▋ | 17/36 [00:02<00:03, 6.23it/s]\n 50%|█████ | 18/36 [00:02<00:02, 6.22it/s]\n 53%|█████▎ | 19/36 [00:03<00:02, 6.22it/s]\n 56%|█████▌ | 20/36 [00:03<00:02, 6.22it/s]\n 58%|█████▊ | 21/36 [00:03<00:02, 6.22it/s]\n 61%|██████ | 22/36 [00:03<00:02, 6.22it/s]\n 64%|██████▍ | 23/36 [00:03<00:02, 6.22it/s]\n 67%|██████▋ | 24/36 [00:03<00:01, 6.23it/s]\n 69%|██████▉ | 25/36 [00:04<00:01, 6.22it/s]\n 72%|███████▏ | 26/36 [00:04<00:01, 6.22it/s]\n 75%|███████▌ | 27/36 [00:04<00:01, 6.22it/s]\n 78%|███████▊ | 28/36 [00:04<00:01, 6.22it/s]\n 81%|████████ | 29/36 [00:04<00:01, 6.22it/s]\n 83%|████████▎ | 30/36 [00:04<00:00, 6.22it/s]\n 86%|████████▌ | 31/36 [00:04<00:00, 6.23it/s]\n 89%|████████▉ | 32/36 [00:05<00:00, 6.22it/s]\n 92%|█████████▏| 33/36 [00:05<00:00, 6.22it/s]\n 94%|█████████▍| 34/36 [00:05<00:00, 6.22it/s]\n 97%|█████████▋| 35/36 [00:05<00:00, 6.22it/s]\n100%|██████████| 36/36 [00:05<00:00, 6.22it/s]\n100%|██████████| 36/36 [00:05<00:00, 6.23it/s]", "metrics": { "predict_time": 31.90548, "total_time": 31.906981 }, "output": [ "https://replicate.delivery/pbxt/3mmeTfz5zAm7iEwyj0CavBLxQ9g5CwCDK3rdTKntUrMKHUyRA/out-0.png" ], "started_at": "2023-10-27T10:23:39.259797Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bmnsfd3bjyb355euaedgu7e4yq", "cancel": "https://api.replicate.com/v1/predictions/bmnsfd3bjyb355euaedgu7e4yq/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 58466 Prompt: A gang member woman, in the street, at night, medium-shot, akira, anime, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:23, 4.99it/s] 2%|▏ | 2/120 [00:00<00:23, 4.98it/s] 2%|▎ | 3/120 [00:00<00:23, 4.96it/s] 3%|▎ | 4/120 [00:00<00:23, 4.95it/s] 4%|▍ | 5/120 [00:01<00:23, 4.95it/s] 5%|▌ | 6/120 [00:01<00:22, 4.96it/s] 6%|▌ | 7/120 [00:01<00:22, 4.97it/s] 7%|▋ | 8/120 [00:01<00:22, 4.97it/s] 8%|▊ | 9/120 [00:01<00:22, 4.97it/s] 8%|▊ | 10/120 [00:02<00:22, 4.98it/s] 9%|▉ | 11/120 [00:02<00:21, 4.98it/s] 10%|█ | 12/120 [00:02<00:21, 4.98it/s] 11%|█ | 13/120 [00:02<00:21, 4.97it/s] 12%|█▏ | 14/120 [00:02<00:21, 4.97it/s] 12%|█▎ | 15/120 [00:03<00:21, 4.97it/s] 13%|█▎ | 16/120 [00:03<00:20, 4.97it/s] 14%|█▍ | 17/120 [00:03<00:20, 4.97it/s] 15%|█▌ | 18/120 [00:03<00:20, 4.97it/s] 16%|█▌ | 19/120 [00:03<00:20, 4.97it/s] 17%|█▋ | 20/120 [00:04<00:20, 4.97it/s] 18%|█▊ | 21/120 [00:04<00:19, 4.97it/s] 18%|█▊ | 22/120 [00:04<00:19, 4.97it/s] 19%|█▉ | 23/120 [00:04<00:19, 4.97it/s] 20%|██ | 24/120 [00:04<00:19, 4.97it/s] 21%|██ | 25/120 [00:05<00:19, 4.97it/s] 22%|██▏ | 26/120 [00:05<00:18, 4.97it/s] 22%|██▎ | 27/120 [00:05<00:18, 4.97it/s] 23%|██▎ | 28/120 [00:05<00:18, 4.97it/s] 24%|██▍ | 29/120 [00:05<00:18, 4.97it/s] 25%|██▌ | 30/120 [00:06<00:18, 4.96it/s] 26%|██▌ | 31/120 [00:06<00:17, 4.96it/s] 27%|██▋ | 32/120 [00:06<00:17, 4.96it/s] 28%|██▊ | 33/120 [00:06<00:17, 4.96it/s] 28%|██▊ | 34/120 [00:06<00:17, 4.95it/s] 29%|██▉ | 35/120 [00:07<00:17, 4.95it/s] 30%|███ | 36/120 [00:07<00:16, 4.95it/s] 31%|███ | 37/120 [00:07<00:16, 4.96it/s] 32%|███▏ | 38/120 [00:07<00:16, 4.96it/s] 32%|███▎ | 39/120 [00:07<00:16, 4.96it/s] 33%|███▎ | 40/120 [00:08<00:16, 4.96it/s] 34%|███▍ | 41/120 [00:08<00:15, 4.96it/s] 35%|███▌ | 42/120 [00:08<00:15, 4.96it/s] 36%|███▌ | 43/120 [00:08<00:15, 4.96it/s] 37%|███▋ | 44/120 [00:08<00:15, 4.95it/s] 38%|███▊ | 45/120 [00:09<00:15, 4.95it/s] 38%|███▊ | 46/120 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDygf27wlb5hxn6fisxm76nmje7eStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- A gang member woman, in the street, motorbike, at night, medium-shot, japanese, akira, anime, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 768, "prompt": "A gang member woman, in the street, motorbike, at night, medium-shot, japanese, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: "A gang member woman, in the street, motorbike, at night, medium-shot, japanese, akira, anime, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": "A gang member woman, in the street, motorbike, at night, medium-shot, japanese, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": "A gang member woman, in the street, motorbike, at night, medium-shot, japanese, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:25:39.835358Z", "created_at": "2023-10-27T10:25:07.857307Z", "data_removed": false, "error": null, "id": "ygf27wlb5hxn6fisxm76nmje7e", "input": { "width": 1024, "height": 768, "prompt": "A gang member woman, in the street, motorbike, at night, medium-shot, japanese, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 26062\nPrompt: A gang member woman, in the street, motorbike, at night, medium-shot, japanese, akira, anime, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:23, 4.99it/s]\n 2%|▏ | 2/120 [00:00<00:23, 4.97it/s]\n 2%|▎ | 3/120 [00:00<00:23, 4.97it/s]\n 3%|▎ | 4/120 [00:00<00:23, 4.97it/s]\n 4%|▍ | 5/120 [00:01<00:23, 4.97it/s]\n 5%|▌ | 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"predict_time": 31.976672, "total_time": 31.978051 }, "output": [ "https://replicate.delivery/pbxt/68gSfjR83d06Hi0aG2O9W331lvwfcNQUJwwRJCfffRLXEhSOC/out-0.png" ], "started_at": "2023-10-27T10:25:07.858686Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ygf27wlb5hxn6fisxm76nmje7e", "cancel": "https://api.replicate.com/v1/predictions/ygf27wlb5hxn6fisxm76nmje7e/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 26062 Prompt: A gang member woman, in the street, motorbike, at night, medium-shot, japanese, akira, anime, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:23, 4.99it/s] 2%|▏ | 2/120 [00:00<00:23, 4.97it/s] 2%|▎ | 3/120 [00:00<00:23, 4.97it/s] 3%|▎ | 4/120 [00:00<00:23, 4.97it/s] 4%|▍ | 5/120 [00:01<00:23, 4.97it/s] 5%|▌ | 6/120 [00:01<00:22, 4.96it/s] 6%|▌ | 7/120 [00:01<00:22, 4.96it/s] 7%|▋ | 8/120 [00:01<00:22, 4.96it/s] 8%|▊ | 9/120 [00:01<00:22, 4.95it/s] 8%|▊ | 10/120 [00:02<00:22, 4.95it/s] 9%|▉ | 11/120 [00:02<00:22, 4.94it/s] 10%|█ | 12/120 [00:02<00:21, 4.94it/s] 11%|█ | 13/120 [00:02<00:21, 4.94it/s] 12%|█▏ | 14/120 [00:02<00:21, 4.94it/s] 12%|█▎ | 15/120 [00:03<00:21, 4.94it/s] 13%|█▎ | 16/120 [00:03<00:21, 4.94it/s] 14%|█▍ | 17/120 [00:03<00:20, 4.94it/s] 15%|█▌ | 18/120 [00:03<00:20, 4.94it/s] 16%|█▌ | 19/120 [00:03<00:20, 4.94it/s] 17%|█▋ | 20/120 [00:04<00:20, 4.94it/s] 18%|█▊ | 21/120 [00:04<00:20, 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDfqywngtbzfb7akyzwtjitwgqbiStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- A gang member, on the roof of a building, posing, portrait, medium-shot, japanese, akira, anime, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 768, "prompt": "A gang member, on the roof of a building, posing, portrait, medium-shot, japanese, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: "A gang member, on the roof of a building, posing, portrait, medium-shot, japanese, akira, anime, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": "A gang member, on the roof of a building, posing, portrait, medium-shot, japanese, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": "A gang member, on the roof of a building, posing, portrait, medium-shot, japanese, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:28:09.639697Z", "created_at": "2023-10-27T10:27:37.556215Z", "data_removed": false, "error": null, "id": "fqywngtbzfb7akyzwtjitwgqbi", "input": { "width": 1024, "height": 768, "prompt": "A gang member, on the roof of a building, posing, portrait, medium-shot, japanese, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 44523\nPrompt: A gang member, on the roof of a building, posing, portrait, medium-shot, japanese, akira, anime, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:23, 4.98it/s]\n 2%|▏ | 2/120 [00:00<00:23, 4.97it/s]\n 2%|▎ | 3/120 [00:00<00:23, 4.97it/s]\n 3%|▎ | 4/120 [00:00<00:23, 4.97it/s]\n 4%|▍ | 5/120 [00:01<00:23, 4.96it/s]\n 5%|▌ | 6/120 [00:01<00:23, 4.96it/s]\n 6%|▌ | 7/120 [00:01<00:22, 4.95it/s]\n 7%|▋ | 8/120 [00:01<00:22, 4.94it/s]\n 8%|▊ | 9/120 [00:01<00:22, 4.94it/s]\n 8%|▊ | 10/120 [00:02<00:22, 4.94it/s]\n 9%|▉ | 11/120 [00:02<00:22, 4.94it/s]\n 10%|█ | 12/120 [00:02<00:21, 4.94it/s]\n 11%|█ | 13/120 [00:02<00:21, 4.93it/s]\n 12%|█▏ | 14/120 [00:02<00:21, 4.93it/s]\n 12%|█▎ | 15/120 [00:03<00:21, 4.93it/s]\n 13%|█▎ | 16/120 [00:03<00:21, 4.93it/s]\n 14%|█▍ | 17/120 [00:03<00:20, 4.93it/s]\n 15%|█▌ | 18/120 [00:03<00:20, 4.93it/s]\n 16%|█▌ | 19/120 [00:03<00:20, 4.93it/s]\n 17%|█▋ | 20/120 [00:04<00:20, 4.94it/s]\n 18%|█▊ | 21/120 [00:04<00:20, 4.93it/s]\n 18%|█▊ | 22/120 [00:04<00:19, 4.93it/s]\n 19%|█▉ | 23/120 [00:04<00:19, 4.93it/s]\n 20%|██ | 24/120 [00:04<00:19, 4.93it/s]\n 21%|██ | 25/120 [00:05<00:19, 4.93it/s]\n 22%|██▏ | 26/120 [00:05<00:19, 4.93it/s]\n 22%|██▎ | 27/120 [00:05<00:18, 4.92it/s]\n 23%|██▎ | 28/120 [00:05<00:18, 4.92it/s]\n 24%|██▍ | 29/120 [00:05<00:18, 4.92it/s]\n 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[00:23<00:01, 4.91it/s]\n 97%|█████████▋| 116/120 [00:23<00:00, 4.91it/s]\n 98%|█████████▊| 117/120 [00:23<00:00, 4.91it/s]\n 98%|█████████▊| 118/120 [00:23<00:00, 4.91it/s]\n 99%|█████████▉| 119/120 [00:24<00:00, 4.91it/s]\n100%|██████████| 120/120 [00:24<00:00, 4.91it/s]\n100%|██████████| 120/120 [00:24<00:00, 4.92it/s]\n 0%| | 0/36 [00:00<?, ?it/s]\n 3%|▎ | 1/36 [00:00<00:05, 6.32it/s]\n 6%|▌ | 2/36 [00:00<00:05, 6.26it/s]\n 8%|▊ | 3/36 [00:00<00:05, 6.24it/s]\n 11%|█ | 4/36 [00:00<00:05, 6.24it/s]\n 14%|█▍ | 5/36 [00:00<00:04, 6.24it/s]\n 17%|█▋ | 6/36 [00:00<00:04, 6.20it/s]\n 19%|█▉ | 7/36 [00:01<00:04, 6.21it/s]\n 22%|██▏ | 8/36 [00:01<00:04, 6.22it/s]\n 25%|██▌ | 9/36 [00:01<00:04, 6.22it/s]\n 28%|██▊ | 10/36 [00:01<00:04, 6.23it/s]\n 31%|███ | 11/36 [00:01<00:04, 6.23it/s]\n 33%|███▎ | 12/36 [00:01<00:03, 6.21it/s]\n 36%|███▌ | 13/36 [00:02<00:03, 6.20it/s]\n 39%|███▉ | 14/36 [00:02<00:03, 6.21it/s]\n 42%|████▏ | 15/36 [00:02<00:03, 6.21it/s]\n 44%|████▍ | 16/36 [00:02<00:03, 6.20it/s]\n 47%|████▋ | 17/36 [00:02<00:03, 6.21it/s]\n 50%|█████ | 18/36 [00:02<00:02, 6.21it/s]\n 53%|█████▎ | 19/36 [00:03<00:02, 6.21it/s]\n 56%|█████▌ | 20/36 [00:03<00:02, 6.20it/s]\n 58%|█████▊ | 21/36 [00:03<00:02, 6.21it/s]\n 61%|██████ | 22/36 [00:03<00:02, 6.20it/s]\n 64%|██████▍ | 23/36 [00:03<00:02, 6.20it/s]\n 67%|██████▋ | 24/36 [00:03<00:01, 6.21it/s]\n 69%|██████▉ | 25/36 [00:04<00:01, 6.21it/s]\n 72%|███████▏ | 26/36 [00:04<00:01, 6.21it/s]\n 75%|███████▌ | 27/36 [00:04<00:01, 6.21it/s]\n 78%|███████▊ | 28/36 [00:04<00:01, 6.21it/s]\n 81%|████████ | 29/36 [00:04<00:01, 6.21it/s]\n 83%|████████▎ | 30/36 [00:04<00:00, 6.22it/s]\n 86%|████████▌ | 31/36 [00:04<00:00, 6.21it/s]\n 89%|████████▉ | 32/36 [00:05<00:00, 6.21it/s]\n 92%|█████████▏| 33/36 [00:05<00:00, 6.21it/s]\n 94%|█████████▍| 34/36 [00:05<00:00, 6.21it/s]\n 97%|█████████▋| 35/36 [00:05<00:00, 6.22it/s]\n100%|██████████| 36/36 [00:05<00:00, 6.21it/s]\n100%|██████████| 36/36 [00:05<00:00, 6.21it/s]", "metrics": { "predict_time": 32.077363, "total_time": 32.083482 }, "output": [ "https://replicate.delivery/pbxt/QRq1eC5RbbRnXKTAtW1kg3irrFrxLxmh6e0gGGafeoEhrQJHB/out-0.png" ], "started_at": "2023-10-27T10:27:37.562334Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fqywngtbzfb7akyzwtjitwgqbi", "cancel": "https://api.replicate.com/v1/predictions/fqywngtbzfb7akyzwtjitwgqbi/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 44523 Prompt: A gang member, on the roof of a building, posing, portrait, medium-shot, japanese, akira, anime, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:23, 4.98it/s] 2%|▏ | 2/120 [00:00<00:23, 4.97it/s] 2%|▎ | 3/120 [00:00<00:23, 4.97it/s] 3%|▎ | 4/120 [00:00<00:23, 4.97it/s] 4%|▍ | 5/120 [00:01<00:23, 4.96it/s] 5%|▌ | 6/120 [00:01<00:23, 4.96it/s] 6%|▌ | 7/120 [00:01<00:22, 4.95it/s] 7%|▋ | 8/120 [00:01<00:22, 4.94it/s] 8%|▊ | 9/120 [00:01<00:22, 4.94it/s] 8%|▊ | 10/120 [00:02<00:22, 4.94it/s] 9%|▉ | 11/120 [00:02<00:22, 4.94it/s] 10%|█ | 12/120 [00:02<00:21, 4.94it/s] 11%|█ | 13/120 [00:02<00:21, 4.93it/s] 12%|█▏ | 14/120 [00:02<00:21, 4.93it/s] 12%|█▎ | 15/120 [00:03<00:21, 4.93it/s] 13%|█▎ | 16/120 [00:03<00:21, 4.93it/s] 14%|█▍ | 17/120 [00:03<00:20, 4.93it/s] 15%|█▌ | 18/120 [00:03<00:20, 4.93it/s] 16%|█▌ | 19/120 [00:03<00:20, 4.93it/s] 17%|█▋ | 20/120 [00:04<00:20, 4.94it/s] 18%|█▊ | 21/120 [00:04<00:20, 4.93it/s] 18%|█▊ | 22/120 [00:04<00:19, 4.93it/s] 19%|█▉ | 23/120 [00:04<00:19, 4.93it/s] 20%|██ | 24/120 [00:04<00:19, 4.93it/s] 21%|██ | 25/120 [00:05<00:19, 4.93it/s] 22%|██▏ | 26/120 [00:05<00:19, 4.93it/s] 22%|██▎ | 27/120 [00:05<00:18, 4.92it/s] 23%|██▎ | 28/120 [00:05<00:18, 4.92it/s] 24%|██▍ | 29/120 [00:05<00:18, 4.92it/s] 25%|██▌ | 30/120 [00:06<00:18, 4.92it/s] 26%|██▌ | 31/120 [00:06<00:18, 4.93it/s] 27%|██▋ | 32/120 [00:06<00:17, 4.93it/s] 28%|██▊ | 33/120 [00:06<00:17, 4.92it/s] 28%|██▊ | 34/120 [00:06<00:17, 4.92it/s] 29%|██▉ | 35/120 [00:07<00:17, 4.92it/s] 30%|███ | 36/120 [00:07<00:17, 4.92it/s] 31%|███ | 37/120 [00:07<00:16, 4.92it/s] 32%|███▏ | 38/120 [00:07<00:16, 4.92it/s] 32%|███▎ | 39/120 [00:07<00:16, 4.92it/s] 33%|███▎ | 40/120 [00:08<00:16, 4.91it/s] 34%|███▍ | 41/120 [00:08<00:16, 4.91it/s] 35%|███▌ | 42/120 [00:08<00:15, 4.91it/s] 36%|███▌ | 43/120 [00:08<00:15, 4.92it/s] 37%|███▋ | 44/120 [00:08<00:15, 4.91it/s] 38%|███▊ | 45/120 [00:09<00:15, 4.92it/s] 38%|███▊ | 46/120 [00:09<00:15, 4.92it/s] 39%|███▉ | 47/120 [00:09<00:14, 4.92it/s] 40%|████ | 48/120 [00:09<00:14, 4.92it/s] 41%|████ | 49/120 [00:09<00:14, 4.92it/s] 42%|████▏ | 50/120 [00:10<00:14, 4.92it/s] 42%|████▎ | 51/120 [00:10<00:14, 4.92it/s] 43%|████▎ | 52/120 [00:10<00:13, 4.91it/s] 44%|████▍ | 53/120 [00:10<00:13, 4.91it/s] 45%|████▌ | 54/120 [00:10<00:13, 4.92it/s] 46%|████▌ | 55/120 [00:11<00:13, 4.92it/s] 47%|████▋ | 56/120 [00:11<00:13, 4.92it/s] 48%|████▊ | 57/120 [00:11<00:12, 4.91it/s] 48%|████▊ | 58/120 [00:11<00:12, 4.91it/s] 49%|████▉ | 59/120 [00:11<00:12, 4.91it/s] 50%|█████ | 60/120 [00:12<00:12, 4.91it/s] 51%|█████ | 61/120 [00:12<00:12, 4.91it/s] 52%|█████▏ | 62/120 [00:12<00:11, 4.91it/s] 52%|█████▎ | 63/120 [00:12<00:11, 4.91it/s] 53%|█████▎ | 64/120 [00:12<00:11, 4.91it/s] 54%|█████▍ | 65/120 [00:13<00:11, 4.91it/s] 55%|█████▌ | 66/120 [00:13<00:10, 4.92it/s] 56%|█████▌ | 67/120 [00:13<00:10, 4.91it/s] 57%|█████▋ | 68/120 [00:13<00:10, 4.92it/s] 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDogvdabdbnprfkn234iecpvhheeStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- japanese woman in work clothes, in a futuristic mall, neons, indoor, sci-fi, akira, anime, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, in a futuristic mall, neons, indoor, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: " japanese woman in work clothes, in a futuristic mall, neons, indoor, sci-fi, akira, anime, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, in a futuristic mall, neons, indoor, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, in a futuristic mall, neons, indoor, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:39:20.099915Z", "created_at": "2023-10-27T10:38:48.318004Z", "data_removed": false, "error": null, "id": "ogvdabdbnprfkn234iecpvhhee", "input": { "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, in a futuristic mall, neons, indoor, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 34599\nPrompt: japanese woman in work clothes, in a futuristic mall, neons, indoor, sci-fi, akira, anime, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:23, 5.02it/s]\n 2%|▏ | 2/120 [00:00<00:23, 5.00it/s]\n 2%|▎ | 3/120 [00:00<00:23, 4.99it/s]\n 3%|▎ | 4/120 [00:00<00:23, 4.99it/s]\n 4%|▍ | 5/120 [00:01<00:23, 4.99it/s]\n 5%|▌ | 6/120 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31.777217, "total_time": 31.781911 }, "output": [ "https://replicate.delivery/pbxt/3mriooWylQrzAtFRdteTXknPyJ07wYEBIUtIIdhXZFfXVUyRA/out-0.png" ], "started_at": "2023-10-27T10:38:48.322698Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ogvdabdbnprfkn234iecpvhhee", "cancel": "https://api.replicate.com/v1/predictions/ogvdabdbnprfkn234iecpvhhee/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 34599 Prompt: japanese woman in work clothes, in a futuristic mall, neons, indoor, sci-fi, akira, anime, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:23, 5.02it/s] 2%|▏ | 2/120 [00:00<00:23, 5.00it/s] 2%|▎ | 3/120 [00:00<00:23, 4.99it/s] 3%|▎ | 4/120 [00:00<00:23, 4.99it/s] 4%|▍ | 5/120 [00:01<00:23, 4.99it/s] 5%|▌ | 6/120 [00:01<00:22, 4.99it/s] 6%|▌ | 7/120 [00:01<00:22, 4.99it/s] 7%|▋ | 8/120 [00:01<00:22, 4.98it/s] 8%|▊ | 9/120 [00:01<00:22, 4.98it/s] 8%|▊ | 10/120 [00:02<00:22, 4.97it/s] 9%|▉ | 11/120 [00:02<00:21, 4.97it/s] 10%|█ | 12/120 [00:02<00:21, 4.96it/s] 11%|█ | 13/120 [00:02<00:21, 4.96it/s] 12%|█▏ | 14/120 [00:02<00:21, 4.96it/s] 12%|█▎ | 15/120 [00:03<00:21, 4.96it/s] 13%|█▎ | 16/120 [00:03<00:20, 4.96it/s] 14%|█▍ | 17/120 [00:03<00:20, 4.96it/s] 15%|█▌ | 18/120 [00:03<00:20, 4.96it/s] 16%|█▌ | 19/120 [00:03<00:20, 4.96it/s] 17%|█▋ | 20/120 [00:04<00:20, 4.96it/s] 18%|█▊ | 21/120 [00:04<00:19, 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDagpyjwtb54irk7j6hdg6zvmgzqStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- japanese woman in work clothes, posing on her motorbike, blazer, in futurist city, sidewalk, futuristic motorbikes, highway, sci-fi, akira, anime, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, posing on her motorbike, blazer, in futurist city, sidewalk, futuristic motorbikes, highway, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: " japanese woman in work clothes, posing on her motorbike, blazer, in futurist city, sidewalk, futuristic motorbikes, highway, sci-fi, akira, anime, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, posing on her motorbike, blazer, in futurist city, sidewalk, futuristic motorbikes, highway, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, posing on her motorbike, blazer, in futurist city, sidewalk, futuristic motorbikes, highway, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:41:43.401926Z", "created_at": "2023-10-27T10:41:11.539528Z", "data_removed": false, "error": null, "id": "agpyjwtb54irk7j6hdg6zvmgzq", "input": { "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, posing on her motorbike, blazer, in futurist city, sidewalk, futuristic motorbikes, highway, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 19602\nPrompt: japanese woman in work clothes, posing on her motorbike, blazer, in futurist city, sidewalk, futuristic motorbikes, highway, sci-fi, akira, anime, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:23, 4.98it/s]\n 2%|▏ | 2/120 [00:00<00:23, 4.97it/s]\n 2%|▎ | 3/120 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[00:02<00:03, 6.22it/s]\n 42%|████▏ | 15/36 [00:02<00:03, 6.22it/s]\n 44%|████▍ | 16/36 [00:02<00:03, 6.22it/s]\n 47%|████▋ | 17/36 [00:02<00:03, 6.22it/s]\n 50%|█████ | 18/36 [00:02<00:02, 6.22it/s]\n 53%|█████▎ | 19/36 [00:03<00:02, 6.21it/s]\n 56%|█████▌ | 20/36 [00:03<00:02, 6.21it/s]\n 58%|█████▊ | 21/36 [00:03<00:02, 6.21it/s]\n 61%|██████ | 22/36 [00:03<00:02, 6.21it/s]\n 64%|██████▍ | 23/36 [00:03<00:02, 6.22it/s]\n 67%|██████▋ | 24/36 [00:03<00:01, 6.22it/s]\n 69%|██████▉ | 25/36 [00:04<00:01, 6.22it/s]\n 72%|███████▏ | 26/36 [00:04<00:01, 6.22it/s]\n 75%|███████▌ | 27/36 [00:04<00:01, 6.23it/s]\n 78%|███████▊ | 28/36 [00:04<00:01, 6.22it/s]\n 81%|████████ | 29/36 [00:04<00:01, 6.22it/s]\n 83%|████████▎ | 30/36 [00:04<00:00, 6.23it/s]\n 86%|████████▌ | 31/36 [00:04<00:00, 6.23it/s]\n 89%|████████▉ | 32/36 [00:05<00:00, 6.22it/s]\n 92%|█████████▏| 33/36 [00:05<00:00, 6.22it/s]\n 94%|█████████▍| 34/36 [00:05<00:00, 6.22it/s]\n 97%|█████████▋| 35/36 [00:05<00:00, 6.22it/s]\n100%|██████████| 36/36 [00:05<00:00, 6.22it/s]\n100%|██████████| 36/36 [00:05<00:00, 6.23it/s]", "metrics": { "predict_time": 31.876525, "total_time": 31.862398 }, "output": [ "https://replicate.delivery/pbxt/uc9eAK8PMixaEKcftw9eY2Qf10eulzUMp4GFuupFRIb28iSOC/out-0.png" ], "started_at": "2023-10-27T10:41:11.525401Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/agpyjwtb54irk7j6hdg6zvmgzq", "cancel": "https://api.replicate.com/v1/predictions/agpyjwtb54irk7j6hdg6zvmgzq/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 19602 Prompt: japanese woman in work clothes, posing on her motorbike, blazer, in futurist city, sidewalk, futuristic motorbikes, highway, sci-fi, akira, anime, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:23, 4.98it/s] 2%|▏ | 2/120 [00:00<00:23, 4.97it/s] 2%|▎ | 3/120 [00:00<00:23, 4.96it/s] 3%|▎ | 4/120 [00:00<00:23, 4.96it/s] 4%|▍ | 5/120 [00:01<00:23, 4.95it/s] 5%|▌ | 6/120 [00:01<00:23, 4.95it/s] 6%|▌ | 7/120 [00:01<00:22, 4.95it/s] 7%|▋ | 8/120 [00:01<00:22, 4.95it/s] 8%|▊ | 9/120 [00:01<00:22, 4.95it/s] 8%|▊ | 10/120 [00:02<00:22, 4.96it/s] 9%|▉ | 11/120 [00:02<00:21, 4.96it/s] 10%|█ | 12/120 [00:02<00:21, 4.96it/s] 11%|█ | 13/120 [00:02<00:21, 4.96it/s] 12%|█▏ | 14/120 [00:02<00:21, 4.97it/s] 12%|█▎ | 15/120 [00:03<00:21, 4.97it/s] 13%|█▎ | 16/120 [00:03<00:20, 4.97it/s] 14%|█▍ | 17/120 [00:03<00:20, 4.97it/s] 15%|█▌ | 18/120 [00:03<00:20, 4.97it/s] 16%|█▌ | 19/120 [00:03<00:20, 4.97it/s] 17%|█▋ | 20/120 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDj6d3243bkqqowxh735zkwynsiqStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- japanese woman in work clothes, posing in an office, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, posing in an office, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: " japanese woman in work clothes, posing in an office, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, posing in an office, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, posing in an office, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:42:56.096674Z", "created_at": "2023-10-27T10:42:24.280953Z", "data_removed": false, "error": null, "id": "j6d3243bkqqowxh735zkwynsiq", "input": { "width": 1024, "height": 768, "prompt": " japanese woman in work clothes, posing in an office, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 37850\nPrompt: japanese woman in work clothes, posing in an office, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:23, 4.99it/s]\n 2%|▏ | 2/120 [00:00<00:23, 4.97it/s]\n 2%|▎ | 3/120 [00:00<00:23, 4.96it/s]\n 3%|▎ | 4/120 [00:00<00:23, 4.96it/s]\n 4%|▍ | 5/120 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[00:05<00:00, 6.23it/s]", "metrics": { "predict_time": 31.870666, "total_time": 31.815721 }, "output": [ "https://replicate.delivery/pbxt/0Iz0Wp5ujlK2C1f8ZbzRhgkxLyyf4HRNNpkzV2EWYm1vYUyRA/out-0.png" ], "started_at": "2023-10-27T10:42:24.226008Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/j6d3243bkqqowxh735zkwynsiq", "cancel": "https://api.replicate.com/v1/predictions/j6d3243bkqqowxh735zkwynsiq/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 37850 Prompt: japanese woman in work clothes, posing in an office, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:23, 4.99it/s] 2%|▏ | 2/120 [00:00<00:23, 4.97it/s] 2%|▎ | 3/120 [00:00<00:23, 4.96it/s] 3%|▎ | 4/120 [00:00<00:23, 4.96it/s] 4%|▍ | 5/120 [00:01<00:23, 4.96it/s] 5%|▌ | 6/120 [00:01<00:23, 4.95it/s] 6%|▌ | 7/120 [00:01<00:22, 4.95it/s] 7%|▋ | 8/120 [00:01<00:22, 4.95it/s] 8%|▊ | 9/120 [00:01<00:22, 4.95it/s] 8%|▊ | 10/120 [00:02<00:22, 4.95it/s] 9%|▉ | 11/120 [00:02<00:21, 4.96it/s] 10%|█ | 12/120 [00:02<00:21, 4.96it/s] 11%|█ | 13/120 [00:02<00:21, 4.96it/s] 12%|█▏ | 14/120 [00:02<00:21, 4.97it/s] 12%|█▎ | 15/120 [00:03<00:21, 4.97it/s] 13%|█▎ | 16/120 [00:03<00:20, 4.96it/s] 14%|█▍ | 17/120 [00:03<00:20, 4.96it/s] 15%|█▌ | 18/120 [00:03<00:20, 4.97it/s] 16%|█▌ | 19/120 [00:03<00:20, 4.97it/s] 17%|█▋ | 20/120 [00:04<00:20, 4.97it/s] 18%|█▊ | 21/120 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDcnyx4vlbavsowijamcormmigleStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- japanese woman in work clothes, posing in an office, typing on keyboard, dim computer light, indoor, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 768, "prompt": "japanese woman in work clothes, posing in an office, typing on keyboard, dim computer light, indoor, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: "japanese woman in work clothes, posing in an office, typing on keyboard, dim computer light, indoor, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": "japanese woman in work clothes, posing in an office, typing on keyboard, dim computer light, indoor, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": "japanese woman in work clothes, posing in an office, typing on keyboard, dim computer light, indoor, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:44:08.878492Z", "created_at": "2023-10-27T10:43:36.980742Z", "data_removed": false, "error": null, "id": "cnyx4vlbavsowijamcormmigle", "input": { "width": 1024, "height": 768, "prompt": "japanese woman in work clothes, posing in an office, typing on keyboard, dim computer light, indoor, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 19188\nPrompt: japanese woman in work clothes, posing in an office, typing on keyboard, dim computer light, indoor, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:23, 4.97it/s]\n 2%|▏ | 2/120 [00:00<00:23, 4.96it/s]\n 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[00:02<00:03, 6.20it/s]\n 42%|████▏ | 15/36 [00:02<00:03, 6.21it/s]\n 44%|████▍ | 16/36 [00:02<00:03, 6.21it/s]\n 47%|████▋ | 17/36 [00:02<00:03, 6.22it/s]\n 50%|█████ | 18/36 [00:02<00:02, 6.22it/s]\n 53%|█████▎ | 19/36 [00:03<00:02, 6.21it/s]\n 56%|█████▌ | 20/36 [00:03<00:02, 6.20it/s]\n 58%|█████▊ | 21/36 [00:03<00:02, 6.21it/s]\n 61%|██████ | 22/36 [00:03<00:02, 6.20it/s]\n 64%|██████▍ | 23/36 [00:03<00:02, 6.20it/s]\n 67%|██████▋ | 24/36 [00:03<00:01, 6.20it/s]\n 69%|██████▉ | 25/36 [00:04<00:01, 6.20it/s]\n 72%|███████▏ | 26/36 [00:04<00:01, 6.20it/s]\n 75%|███████▌ | 27/36 [00:04<00:01, 6.20it/s]\n 78%|███████▊ | 28/36 [00:04<00:01, 6.21it/s]\n 81%|████████ | 29/36 [00:04<00:01, 6.21it/s]\n 83%|████████▎ | 30/36 [00:04<00:00, 6.21it/s]\n 86%|████████▌ | 31/36 [00:04<00:00, 6.21it/s]\n 89%|████████▉ | 32/36 [00:05<00:00, 6.21it/s]\n 92%|█████████▏| 33/36 [00:05<00:00, 6.21it/s]\n 94%|█████████▍| 34/36 [00:05<00:00, 6.22it/s]\n 97%|█████████▋| 35/36 [00:05<00:00, 6.21it/s]\n100%|██████████| 36/36 [00:05<00:00, 6.21it/s]\n100%|██████████| 36/36 [00:05<00:00, 6.21it/s]", "metrics": { "predict_time": 31.950859, "total_time": 31.89775 }, "output": [ "https://replicate.delivery/pbxt/f74fxgc5KsrFikhIXqvlJ679sPwOlAPs1h3ttsUCd2I3ZUyRA/out-0.png" ], "started_at": "2023-10-27T10:43:36.927633Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/cnyx4vlbavsowijamcormmigle", "cancel": "https://api.replicate.com/v1/predictions/cnyx4vlbavsowijamcormmigle/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 19188 Prompt: japanese woman in work clothes, posing in an office, typing on keyboard, dim computer light, indoor, lab, skyline, neotokyo, office, sci-fi, akira, anime, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:23, 4.97it/s] 2%|▏ | 2/120 [00:00<00:23, 4.96it/s] 2%|▎ | 3/120 [00:00<00:23, 4.95it/s] 3%|▎ | 4/120 [00:00<00:23, 4.95it/s] 4%|▍ | 5/120 [00:01<00:23, 4.96it/s] 5%|▌ | 6/120 [00:01<00:23, 4.95it/s] 6%|▌ | 7/120 [00:01<00:22, 4.95it/s] 7%|▋ | 8/120 [00:01<00:22, 4.96it/s] 8%|▊ | 9/120 [00:01<00:22, 4.96it/s] 8%|▊ | 10/120 [00:02<00:22, 4.96it/s] 9%|▉ | 11/120 [00:02<00:21, 4.96it/s] 10%|█ | 12/120 [00:02<00:21, 4.96it/s] 11%|█ | 13/120 [00:02<00:21, 4.96it/s] 12%|█▏ | 14/120 [00:02<00:21, 4.96it/s] 12%|█▎ | 15/120 [00:03<00:21, 4.96it/s] 13%|█▎ | 16/120 [00:03<00:20, 4.96it/s] 14%|█▍ | 17/120 [00:03<00:20, 4.96it/s] 15%|█▌ | 18/120 [00:03<00:20, 4.95it/s] 16%|█▌ | 19/120 [00:03<00:20, 4.95it/s] 17%|█▋ | 20/120 [00:04<00:20, 4.95it/s] 18%|█▊ | 21/120 [00:04<00:20, 4.95it/s] 18%|█▊ | 22/120 [00:04<00:19, 4.95it/s] 19%|█▉ | 23/120 [00:04<00:19, 4.95it/s] 20%|██ | 24/120 [00:04<00:19, 4.96it/s] 21%|██ | 25/120 [00:05<00:19, 4.95it/s] 22%|██▏ | 26/120 [00:05<00:18, 4.95it/s] 22%|██▎ | 27/120 [00:05<00:18, 4.95it/s] 23%|██▎ | 28/120 [00:05<00:18, 4.95it/s] 24%|██▍ | 29/120 [00:05<00:18, 4.95it/s] 25%|██▌ | 30/120 [00:06<00:18, 4.95it/s] 26%|██▌ | 31/120 [00:06<00:17, 4.95it/s] 27%|██▋ | 32/120 [00:06<00:17, 4.95it/s] 28%|██▊ | 33/120 [00:06<00:17, 4.95it/s] 28%|██▊ | 34/120 [00:06<00:17, 4.95it/s] 29%|██▉ | 35/120 [00:07<00:17, 4.95it/s] 30%|███ | 36/120 [00:07<00:16, 4.95it/s] 31%|███ | 37/120 [00:07<00:16, 4.95it/s] 32%|███▏ | 38/120 [00:07<00:16, 4.95it/s] 32%|███▎ | 39/120 [00:07<00:16, 4.94it/s] 33%|███▎ | 40/120 [00:08<00:16, 4.94it/s] 34%|███▍ | 41/120 [00:08<00:15, 4.94it/s] 35%|███▌ | 42/120 [00:08<00:15, 4.94it/s] 36%|███▌ | 43/120 [00:08<00:15, 4.94it/s] 37%|███▋ | 44/120 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDurdox4tbhiaj3wcpuhtwukuiliStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- nuke, explosion, devastating, neotokyo, sci-fi, akira, anime, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 768, "prompt": "nuke, explosion, devastating, neotokyo, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: "nuke, explosion, devastating, neotokyo, sci-fi, akira, anime, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": "nuke, explosion, devastating, neotokyo, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": "nuke, explosion, devastating, neotokyo, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:52:48.762997Z", "created_at": "2023-10-27T10:52:16.875002Z", "data_removed": false, "error": null, "id": "urdox4tbhiaj3wcpuhtwukuili", "input": { "width": 1024, "height": 768, "prompt": "nuke, explosion, devastating, neotokyo, sci-fi, akira, anime, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 29316\nPrompt: nuke, explosion, devastating, neotokyo, sci-fi, akira, anime, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:23, 4.98it/s]\n 2%|▏ | 2/120 [00:00<00:23, 4.96it/s]\n 2%|▎ | 3/120 [00:00<00:23, 4.96it/s]\n 3%|▎ | 4/120 [00:00<00:23, 4.95it/s]\n 4%|▍ | 5/120 [00:01<00:23, 4.95it/s]\n 5%|▌ | 6/120 [00:01<00:23, 4.94it/s]\n 6%|▌ | 7/120 [00:01<00:22, 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"output": [ "https://replicate.delivery/pbxt/d2jiEJbB1yrhEpTsBU4Dh0iDBmOugIOU6so5cMUvTo1fQK5IA/out-0.png" ], "started_at": "2023-10-27T10:52:16.852171Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/urdox4tbhiaj3wcpuhtwukuili", "cancel": "https://api.replicate.com/v1/predictions/urdox4tbhiaj3wcpuhtwukuili/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 29316 Prompt: nuke, explosion, devastating, neotokyo, sci-fi, akira, anime, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:23, 4.98it/s] 2%|▏ | 2/120 [00:00<00:23, 4.96it/s] 2%|▎ | 3/120 [00:00<00:23, 4.96it/s] 3%|▎ | 4/120 [00:00<00:23, 4.95it/s] 4%|▍ | 5/120 [00:01<00:23, 4.95it/s] 5%|▌ | 6/120 [00:01<00:23, 4.94it/s] 6%|▌ | 7/120 [00:01<00:22, 4.94it/s] 7%|▋ | 8/120 [00:01<00:22, 4.94it/s] 8%|▊ | 9/120 [00:01<00:22, 4.93it/s] 8%|▊ | 10/120 [00:02<00:22, 4.94it/s] 9%|▉ | 11/120 [00:02<00:22, 4.95it/s] 10%|█ | 12/120 [00:02<00:21, 4.95it/s] 11%|█ | 13/120 [00:02<00:21, 4.96it/s] 12%|█▏ | 14/120 [00:02<00:21, 4.96it/s] 12%|█▎ | 15/120 [00:03<00:21, 4.96it/s] 13%|█▎ | 16/120 [00:03<00:20, 4.96it/s] 14%|█▍ | 17/120 [00:03<00:20, 4.96it/s] 15%|█▌ | 18/120 [00:03<00:20, 4.96it/s] 16%|█▌ | 19/120 [00:03<00:20, 4.96it/s] 17%|█▋ | 20/120 [00:04<00:20, 4.96it/s] 18%|█▊ | 21/120 [00:04<00:19, 4.96it/s] 18%|█▊ | 22/120 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDigdvy7dbo6ddgw4g73vb3gd364StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 576
- prompt
- japanese boy, , nuke, explosion, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 576, "prompt": " japanese boy, , nuke, explosion, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 576, prompt: " japanese boy, , nuke, explosion, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 576, "prompt": " japanese boy, , nuke, explosion, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 576, "prompt": " japanese boy, , nuke, explosion, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T10:57:07.361679Z", "created_at": "2023-10-27T10:56:41.721643Z", "data_removed": false, "error": null, "id": "igdvy7dbo6ddgw4g73vb3gd364", "input": { "width": 1024, "height": 576, "prompt": " japanese boy, , nuke, explosion, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 7001\nPrompt: japanese boy, , nuke, explosion, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:19, 6.24it/s]\n 2%|▏ | 2/120 [00:00<00:18, 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7.78it/s]\n 39%|███▉ | 14/36 [00:01<00:02, 7.79it/s]\n 42%|████▏ | 15/36 [00:01<00:02, 7.79it/s]\n 44%|████▍ | 16/36 [00:02<00:02, 7.78it/s]\n 47%|████▋ | 17/36 [00:02<00:02, 7.78it/s]\n 50%|█████ | 18/36 [00:02<00:02, 7.77it/s]\n 53%|█████▎ | 19/36 [00:02<00:02, 7.77it/s]\n 56%|█████▌ | 20/36 [00:02<00:02, 7.77it/s]\n 58%|█████▊ | 21/36 [00:02<00:01, 7.77it/s]\n 61%|██████ | 22/36 [00:02<00:01, 7.77it/s]\n 64%|██████▍ | 23/36 [00:02<00:01, 7.77it/s]\n 67%|██████▋ | 24/36 [00:03<00:01, 7.78it/s]\n 69%|██████▉ | 25/36 [00:03<00:01, 7.77it/s]\n 72%|███████▏ | 26/36 [00:03<00:01, 7.77it/s]\n 75%|███████▌ | 27/36 [00:03<00:01, 7.78it/s]\n 78%|███████▊ | 28/36 [00:03<00:01, 7.76it/s]\n 81%|████████ | 29/36 [00:03<00:00, 7.78it/s]\n 83%|████████▎ | 30/36 [00:03<00:00, 7.77it/s]\n 86%|████████▌ | 31/36 [00:03<00:00, 7.77it/s]\n 89%|████████▉ | 32/36 [00:04<00:00, 7.77it/s]\n 92%|█████████▏| 33/36 [00:04<00:00, 7.76it/s]\n 94%|█████████▍| 34/36 [00:04<00:00, 7.76it/s]\n 97%|█████████▋| 35/36 [00:04<00:00, 7.76it/s]\n100%|██████████| 36/36 [00:04<00:00, 7.76it/s]\n100%|██████████| 36/36 [00:04<00:00, 7.78it/s]", "metrics": { "predict_time": 25.647336, "total_time": 25.640036 }, "output": [ "https://replicate.delivery/pbxt/etmf7zuUNfEh2oXv4YxguKfJPVQ5H0MrQYy0sk1pzyzIYSJHB/out-0.png" ], "started_at": "2023-10-27T10:56:41.714343Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/igdvy7dbo6ddgw4g73vb3gd364", "cancel": "https://api.replicate.com/v1/predictions/igdvy7dbo6ddgw4g73vb3gd364/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 7001 Prompt: japanese boy, , nuke, explosion, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:19, 6.24it/s] 2%|▏ | 2/120 [00:00<00:18, 6.23it/s] 2%|▎ | 3/120 [00:00<00:18, 6.22it/s] 3%|▎ | 4/120 [00:00<00:18, 6.21it/s] 4%|▍ | 5/120 [00:00<00:18, 6.21it/s] 5%|▌ | 6/120 [00:00<00:18, 6.21it/s] 6%|▌ | 7/120 [00:01<00:18, 6.22it/s] 7%|▋ | 8/120 [00:01<00:18, 6.22it/s] 8%|▊ | 9/120 [00:01<00:17, 6.21it/s] 8%|▊ | 10/120 [00:01<00:17, 6.21it/s] 9%|▉ | 11/120 [00:01<00:17, 6.21it/s] 10%|█ | 12/120 [00:01<00:17, 6.22it/s] 11%|█ | 13/120 [00:02<00:17, 6.22it/s] 12%|█▏ | 14/120 [00:02<00:17, 6.22it/s] 12%|█▎ | 15/120 [00:02<00:16, 6.22it/s] 13%|█▎ | 16/120 [00:02<00:16, 6.22it/s] 14%|█▍ | 17/120 [00:02<00:16, 6.22it/s] 15%|█▌ | 18/120 [00:02<00:16, 6.22it/s] 16%|█▌ | 19/120 [00:03<00:16, 6.21it/s] 17%|█▋ | 20/120 [00:03<00:16, 6.21it/s] 18%|█▊ | 21/120 [00:03<00:15, 6.21it/s] 18%|█▊ | 22/120 [00:03<00:15, 6.21it/s] 19%|█▉ | 23/120 [00:03<00:15, 6.21it/s] 20%|██ | 24/120 [00:03<00:15, 6.22it/s] 21%|██ | 25/120 [00:04<00:15, 6.23it/s] 22%|██▏ | 26/120 [00:04<00:15, 6.22it/s] 22%|██▎ | 27/120 [00:04<00:14, 6.23it/s] 23%|██▎ | 28/120 [00:04<00:14, 6.22it/s] 24%|██▍ | 29/120 [00:04<00:14, 6.22it/s] 25%|██▌ | 30/120 [00:04<00:14, 6.22it/s] 26%|██▌ | 31/120 [00:04<00:14, 6.23it/s] 27%|██▋ | 32/120 [00:05<00:14, 6.23it/s] 28%|██▊ | 33/120 [00:05<00:13, 6.22it/s] 28%|██▊ | 34/120 [00:05<00:13, 6.22it/s] 29%|██▉ | 35/120 [00:05<00:13, 6.22it/s] 30%|███ | 36/120 [00:05<00:13, 6.22it/s] 31%|███ | 37/120 [00:05<00:13, 6.22it/s] 32%|███▏ | 38/120 [00:06<00:13, 6.22it/s] 32%|███▎ | 39/120 [00:06<00:13, 6.23it/s] 33%|███▎ | 40/120 [00:06<00:12, 6.23it/s] 34%|███▍ | 41/120 [00:06<00:12, 6.22it/s] 35%|███▌ | 42/120 [00:06<00:12, 6.23it/s] 36%|███▌ | 43/120 [00:06<00:12, 6.23it/s] 37%|███▋ | 44/120 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDujvmsutbwl27n4eilvwi7sucvaStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 576
- prompt
- japanese boy, , nuke, explosion, energy laser, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK
- refine
- base_image_refiner
- scheduler
- K_EULER
- lora_scale
- 0.92
- num_outputs
- 1
- guidance_scale
- 10.06
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 576, "prompt": " japanese boy, , nuke, explosion, energy laser, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 576, prompt: " japanese boy, , nuke, explosion, energy laser, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", refine: "base_image_refiner", scheduler: "K_EULER", lora_scale: 0.92, num_outputs: 1, guidance_scale: 10.06, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 576, "prompt": " japanese boy, , nuke, explosion, energy laser, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 576, "prompt": " japanese boy, , nuke, explosion, energy laser, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T11:00:43.535084Z", "created_at": "2023-10-27T11:00:18.012436Z", "data_removed": false, "error": null, "id": "ujvmsutbwl27n4eilvwi7sucva", "input": { "width": 1024, "height": 576, "prompt": " japanese boy, , nuke, explosion, energy laser, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of TOK", "refine": "base_image_refiner", "scheduler": "K_EULER", "lora_scale": 0.92, "num_outputs": 1, "guidance_scale": 10.06, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 3730\nPrompt: japanese boy, , nuke, explosion, energy laser, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/120 [00:00<?, ?it/s]\n 1%| | 1/120 [00:00<00:19, 6.24it/s]\n 2%|▏ | 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97%|█████████▋| 35/36 [00:04<00:00, 7.75it/s]\n100%|██████████| 36/36 [00:04<00:00, 7.75it/s]\n100%|██████████| 36/36 [00:04<00:00, 7.76it/s]", "metrics": { "predict_time": 25.555755, "total_time": 25.522648 }, "output": [ "https://replicate.delivery/pbxt/xl054aqhyOJsCZip7LoBQZMf9qXgvbpYeCRQqe3dS5z1SpkjA/out-0.png" ], "started_at": "2023-10-27T11:00:17.979329Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ujvmsutbwl27n4eilvwi7sucva", "cancel": "https://api.replicate.com/v1/predictions/ujvmsutbwl27n4eilvwi7sucva/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 3730 Prompt: japanese boy, , nuke, explosion, energy laser, devastating, face, center, close-up, angry, powerful, enemy, energy, forcefield, neotokyo, sci-fi, akira, anime, cinematic, in the style of <s0><s1> txt2img mode 0%| | 0/120 [00:00<?, ?it/s] 1%| | 1/120 [00:00<00:19, 6.24it/s] 2%|▏ | 2/120 [00:00<00:18, 6.22it/s] 2%|▎ | 3/120 [00:00<00:18, 6.22it/s] 3%|▎ | 4/120 [00:00<00:18, 6.22it/s] 4%|▍ | 5/120 [00:00<00:18, 6.21it/s] 5%|▌ | 6/120 [00:00<00:18, 6.20it/s] 6%|▌ | 7/120 [00:01<00:18, 6.20it/s] 7%|▋ | 8/120 [00:01<00:18, 6.21it/s] 8%|▊ | 9/120 [00:01<00:17, 6.22it/s] 8%|▊ | 10/120 [00:01<00:17, 6.22it/s] 9%|▉ | 11/120 [00:01<00:17, 6.22it/s] 10%|█ | 12/120 [00:01<00:17, 6.22it/s] 11%|█ | 13/120 [00:02<00:17, 6.23it/s] 12%|█▏ | 14/120 [00:02<00:17, 6.23it/s] 12%|█▎ | 15/120 [00:02<00:16, 6.23it/s] 13%|█▎ | 16/120 [00:02<00:16, 6.23it/s] 14%|█▍ | 17/120 [00:02<00:16, 6.23it/s] 15%|█▌ | 18/120 [00:02<00:16, 6.22it/s] 16%|█▌ | 19/120 [00:03<00:16, 6.22it/s] 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Prediction
jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996IDopa5nstbbqc3e2kwi42fsfuwgmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 768
- prompt
- mob, street, energetic, neons shops, beautiful, nightfall, akira, anime, award winning, japanese, in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.94
- num_outputs
- 1
- guidance_scale
- 7.66
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- photo, 3D render
- prompt_strength
- 0.8
- num_inference_steps
- 120
{ "width": 1024, "height": 768, "prompt": "mob, street, energetic, neons shops, beautiful, nightfall, akira, anime, award winning, japanese, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.94, "num_outputs": 1, "guidance_scale": 7.66, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", { input: { width: 1024, height: 768, prompt: "mob, street, energetic, neons shops, beautiful, nightfall, akira, anime, award winning, japanese, in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.94, num_outputs: 1, guidance_scale: 7.66, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "photo, 3D render", prompt_strength: 0.8, num_inference_steps: 120 } } ); // 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 jbilcke/sdxl-akira using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", input={ "width": 1024, "height": 768, "prompt": "mob, street, energetic, neons shops, beautiful, nightfall, akira, anime, award winning, japanese, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.94, "num_outputs": 1, "guidance_scale": 7.66, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jbilcke/sdxl-akira 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": "jbilcke/sdxl-akira:05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996", "input": { "width": 1024, "height": 768, "prompt": "mob, street, energetic, neons shops, beautiful, nightfall, akira, anime, award winning, japanese, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.94, "num_outputs": 1, "guidance_scale": 7.66, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-27T11:03:31.434830Z", "created_at": "2023-10-27T11:03:06.390203Z", "data_removed": false, "error": null, "id": "opa5nstbbqc3e2kwi42fsfuwgm", "input": { "width": 1024, "height": 768, "prompt": "mob, street, energetic, neons shops, beautiful, nightfall, akira, anime, award winning, japanese, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.94, "num_outputs": 1, "guidance_scale": 7.66, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "photo, 3D render", "prompt_strength": 0.8, "num_inference_steps": 120 }, "logs": "Using seed: 33226\nPrompt: mob, street, energetic, neons shops, beautiful, nightfall, akira, anime, award winning, japanese, in the style of <s0><s1>\ntxt2img mode\n 0%| | 0/95 [00:00<?, ?it/s]\n 1%| | 1/95 [00:00<00:18, 5.01it/s]\n 2%|▏ | 2/95 [00:00<00:18, 4.99it/s]\n 3%|▎ | 3/95 [00:00<00:18, 4.99it/s]\n 4%|▍ | 4/95 [00:00<00:18, 4.98it/s]\n 5%|▌ | 5/95 [00:01<00:18, 4.97it/s]\n 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[00:19<00:00, 4.95it/s]\n100%|██████████| 95/95 [00:19<00:00, 4.97it/s]\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:03, 6.34it/s]\n 8%|▊ | 2/25 [00:00<00:03, 6.29it/s]\n 12%|█▏ | 3/25 [00:00<00:03, 6.28it/s]\n 16%|█▌ | 4/25 [00:00<00:03, 6.25it/s]\n 20%|██ | 5/25 [00:00<00:03, 6.26it/s]\n 24%|██▍ | 6/25 [00:00<00:03, 6.24it/s]\n 28%|██▊ | 7/25 [00:01<00:02, 6.24it/s]\n 32%|███▏ | 8/25 [00:01<00:02, 6.24it/s]\n 36%|███▌ | 9/25 [00:01<00:02, 6.24it/s]\n 40%|████ | 10/25 [00:01<00:02, 6.24it/s]\n 44%|████▍ | 11/25 [00:01<00:02, 6.25it/s]\n 48%|████▊ | 12/25 [00:01<00:02, 6.25it/s]\n 52%|█████▏ | 13/25 [00:02<00:01, 6.25it/s]\n 56%|█████▌ | 14/25 [00:02<00:01, 6.25it/s]\n 60%|██████ | 15/25 [00:02<00:01, 6.24it/s]\n 64%|██████▍ | 16/25 [00:02<00:01, 6.24it/s]\n 68%|██████▊ | 17/25 [00:02<00:01, 6.24it/s]\n 72%|███████▏ | 18/25 [00:02<00:01, 6.24it/s]\n 76%|███████▌ | 19/25 [00:03<00:00, 6.24it/s]\n 80%|████████ | 20/25 [00:03<00:00, 6.25it/s]\n 84%|████████▍ | 21/25 [00:03<00:00, 6.25it/s]\n 88%|████████▊ | 22/25 [00:03<00:00, 6.25it/s]\n 92%|█████████▏| 23/25 [00:03<00:00, 6.25it/s]\n 96%|█████████▌| 24/25 [00:03<00:00, 6.25it/s]\n100%|██████████| 25/25 [00:04<00:00, 6.25it/s]\n100%|██████████| 25/25 [00:04<00:00, 6.25it/s]", "metrics": { "predict_time": 25.047491, "total_time": 25.044627 }, "output": [ "https://replicate.delivery/pbxt/WdaxOHyDkmISOl0rIbmC8nYpe5XFOK0WqbG9ZrbdDzfCsUyRA/out-0.png" ], "started_at": "2023-10-27T11:03:06.387339Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/opa5nstbbqc3e2kwi42fsfuwgm", "cancel": "https://api.replicate.com/v1/predictions/opa5nstbbqc3e2kwi42fsfuwgm/cancel" }, "version": "05481a24b33275bbb558db7604485a5eedbb4a9d3700b1d85a40704fae138996" }
Generated inUsing seed: 33226 Prompt: mob, street, energetic, neons shops, beautiful, nightfall, akira, anime, award winning, japanese, in the style of <s0><s1> txt2img mode 0%| | 0/95 [00:00<?, ?it/s] 1%| | 1/95 [00:00<00:18, 5.01it/s] 2%|▏ | 2/95 [00:00<00:18, 4.99it/s] 3%|▎ | 3/95 [00:00<00:18, 4.99it/s] 4%|▍ | 4/95 [00:00<00:18, 4.98it/s] 5%|▌ | 5/95 [00:01<00:18, 4.97it/s] 6%|▋ | 6/95 [00:01<00:17, 4.97it/s] 7%|▋ | 7/95 [00:01<00:17, 4.97it/s] 8%|▊ | 8/95 [00:01<00:17, 4.97it/s] 9%|▉ | 9/95 [00:01<00:17, 4.96it/s] 11%|█ | 10/95 [00:02<00:17, 4.96it/s] 12%|█▏ | 11/95 [00:02<00:16, 4.96it/s] 13%|█▎ | 12/95 [00:02<00:16, 4.98it/s] 14%|█▎ | 13/95 [00:02<00:16, 4.98it/s] 15%|█▍ | 14/95 [00:02<00:16, 4.98it/s] 16%|█▌ | 15/95 [00:03<00:16, 4.99it/s] 17%|█▋ | 16/95 [00:03<00:15, 4.98it/s] 18%|█▊ | 17/95 [00:03<00:15, 4.99it/s] 19%|█▉ | 18/95 [00:03<00:15, 4.99it/s] 20%|██ | 19/95 [00:03<00:15, 4.99it/s] 21%|██ | 20/95 [00:04<00:15, 4.99it/s] 22%|██▏ | 21/95 [00:04<00:14, 4.99it/s] 23%|██▎ | 22/95 [00:04<00:14, 4.99it/s] 24%|██▍ | 23/95 [00:04<00:14, 4.99it/s] 25%|██▌ | 24/95 [00:04<00:14, 4.99it/s] 26%|██▋ | 25/95 [00:05<00:14, 4.99it/s] 27%|██▋ | 26/95 [00:05<00:13, 4.99it/s] 28%|██▊ | 27/95 [00:05<00:13, 4.99it/s] 29%|██▉ | 28/95 [00:05<00:13, 4.99it/s] 31%|███ | 29/95 [00:05<00:13, 4.98it/s] 32%|███▏ | 30/95 [00:06<00:13, 4.98it/s] 33%|███▎ | 31/95 [00:06<00:12, 4.98it/s] 34%|███▎ | 32/95 [00:06<00:12, 4.98it/s] 35%|███▍ | 33/95 [00:06<00:12, 4.98it/s] 36%|███▌ | 34/95 [00:06<00:12, 4.98it/s] 37%|███▋ | 35/95 [00:07<00:12, 4.98it/s] 38%|███▊ | 36/95 [00:07<00:11, 4.98it/s] 39%|███▉ | 37/95 [00:07<00:11, 4.98it/s] 40%|████ | 38/95 [00:07<00:11, 4.98it/s] 41%|████ | 39/95 [00:07<00:11, 4.98it/s] 42%|████▏ | 40/95 [00:08<00:11, 4.98it/s] 43%|████▎ | 41/95 [00:08<00:10, 4.98it/s] 44%|████▍ | 42/95 [00:08<00:10, 4.98it/s] 45%|████▌ | 43/95 [00:08<00:10, 4.98it/s] 46%|████▋ | 44/95 [00:08<00:10, 4.98it/s] 47%|████▋ | 45/95 [00:09<00:10, 4.98it/s] 48%|████▊ | 46/95 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