guillaumesimon / romy-style
- Public
- 750 runs
-
L40S
- SDXL fine-tune
Prediction
guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756IDuoo4pqtb3cec4il5m6rwedbzsaStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 896
- height
- 1344
- prompt
- children wearing wizards capes, looking at a magnificient castle on a hill, daylight, in the style of Romy
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 896, "height": 1344, "prompt": "children wearing wizards capes, looking at a magnificient castle on a hill, daylight, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport 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 guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", { input: { width: 896, height: 1344, prompt: "children wearing wizards capes, looking at a magnificient castle on a hill, daylight, in the style of Romy", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, 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 replicateImport the client:import replicateRun guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", input={ "width": 896, "height": 1344, "prompt": "children wearing wizards capes, looking at a magnificient castle on a hill, daylight, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "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 guillaumesimon/romy-style 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": "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", "input": { "width": 896, "height": 1344, "prompt": "children wearing wizards capes, looking at a magnificient castle on a hill, daylight, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-05T13:08:16.983566Z", "created_at": "2023-09-05T13:07:55.517386Z", "data_removed": false, "error": null, "id": "uoo4pqtb3cec4il5m6rwedbzsa", "input": { "width": 896, "height": 1344, "prompt": "children wearing wizards capes, looking at a magnificient castle on a hill, daylight, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 42969\nPrompt: children wearing wizards capes, looking at a magnificient castle on a hill, daylight, in the style of Romy\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:40, 1.20it/s]\n 4%|▍ | 2/50 [00:01<00:25, 1.87it/s]\n 6%|▌ | 3/50 [00:01<00:20, 2.28it/s]\n 8%|▊ | 4/50 [00:01<00:18, 2.53it/s]\n 10%|█ | 5/50 [00:02<00:16, 2.70it/s]\n 12%|█▏ | 6/50 [00:02<00:15, 2.81it/s]\n 14%|█▍ | 7/50 [00:02<00:14, 2.89it/s]\n 16%|█▌ | 8/50 [00:03<00:14, 2.94it/s]\n 18%|█▊ | 9/50 [00:03<00:13, 2.98it/s]\n 20%|██ | 10/50 [00:03<00:13, 3.00it/s]\n 22%|██▏ | 11/50 [00:04<00:12, 3.02it/s]\n 24%|██▍ | 12/50 [00:04<00:12, 3.03it/s]\n 26%|██▌ | 13/50 [00:04<00:12, 3.04it/s]\n 28%|██▊ | 14/50 [00:05<00:11, 3.05it/s]\n 30%|███ | 15/50 [00:05<00:11, 3.06it/s]\n 32%|███▏ | 16/50 [00:05<00:11, 3.06it/s]\n 34%|███▍ | 17/50 [00:06<00:10, 3.07it/s]\n 36%|███▌ | 18/50 [00:06<00:10, 3.07it/s]\n 38%|███▊ | 19/50 [00:06<00:10, 3.07it/s]\n 40%|████ | 20/50 [00:07<00:09, 3.07it/s]\n 42%|████▏ | 21/50 [00:07<00:09, 3.07it/s]\n 44%|████▍ | 22/50 [00:07<00:09, 3.07it/s]\n 46%|████▌ | 23/50 [00:08<00:08, 3.07it/s]\n 48%|████▊ | 24/50 [00:08<00:08, 3.07it/s]\n 50%|█████ | 25/50 [00:08<00:08, 3.07it/s]\n 52%|█████▏ | 26/50 [00:08<00:07, 3.07it/s]\n 54%|█████▍ | 27/50 [00:09<00:07, 3.07it/s]\n 56%|█████▌ | 28/50 [00:09<00:07, 3.07it/s]\n 58%|█████▊ | 29/50 [00:09<00:06, 3.07it/s]\n 60%|██████ | 30/50 [00:10<00:06, 3.07it/s]\n 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"metrics": { "predict_time": 19.66256, "total_time": 21.46618 }, "output": [ "https://replicate.delivery/pbxt/yZ4oZUermpWLaS0GU0obW2fZP45sysMYizP3koWq100fRbCjA/out-0.png" ], "started_at": "2023-09-05T13:07:57.321006Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/uoo4pqtb3cec4il5m6rwedbzsa", "cancel": "https://api.replicate.com/v1/predictions/uoo4pqtb3cec4il5m6rwedbzsa/cancel" }, "version": "d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756" }Generated inUsing seed: 42969 Prompt: children wearing wizards capes, looking at a magnificient castle on a hill, daylight, in the style of Romy txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:40, 1.20it/s] 4%|▍ | 2/50 [00:01<00:25, 1.87it/s] 6%|▌ | 3/50 [00:01<00:20, 2.28it/s] 8%|▊ | 4/50 [00:01<00:18, 2.53it/s] 10%|█ | 5/50 [00:02<00:16, 2.70it/s] 12%|█▏ | 6/50 [00:02<00:15, 2.81it/s] 14%|█▍ | 7/50 [00:02<00:14, 2.89it/s] 16%|█▌ | 8/50 [00:03<00:14, 2.94it/s] 18%|█▊ | 9/50 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guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756IDmezjha3b5icx625mjsuwygctn4StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 896
- height
- 1344
- prompt
- children playing with robots in a new york streets, flying cars above, future, daylight, cute, in the style of Romy
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 2
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 896, "height": 1344, "prompt": "children playing with robots in a new york streets, flying cars above, future, daylight, cute, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport 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 guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", { input: { width: 896, height: 1344, prompt: "children playing with robots in a new york streets, flying cars above, future, daylight, cute, in the style of Romy", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 2, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, 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 replicateImport the client:import replicateRun guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", input={ "width": 896, "height": 1344, "prompt": "children playing with robots in a new york streets, flying cars above, future, daylight, cute, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "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 guillaumesimon/romy-style 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": "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", "input": { "width": 896, "height": 1344, "prompt": "children playing with robots in a new york streets, flying cars above, future, daylight, cute, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-05T13:09:52.157700Z", "created_at": "2023-09-05T13:09:17.475779Z", "data_removed": false, "error": null, "id": "mezjha3b5icx625mjsuwygctn4", "input": { "width": 896, "height": 1344, "prompt": "children playing with robots in a new york streets, flying cars above, future, daylight, cute, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 58185\nPrompt: children playing with robots in a new york streets, flying cars above, future, daylight, cute, in the style of Romy\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:30, 1.63it/s]\n 4%|▍ | 2/50 [00:01<00:29, 1.63it/s]\n 6%|▌ | 3/50 [00:01<00:28, 1.63it/s]\n 8%|▊ | 4/50 [00:02<00:28, 1.64it/s]\n 10%|█ | 5/50 [00:03<00:27, 1.64it/s]\n 12%|█▏ | 6/50 [00:03<00:26, 1.64it/s]\n 14%|█▍ | 7/50 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[00:30<00:00, 1.63it/s]", "metrics": { "predict_time": 34.674855, "total_time": 34.681921 }, "output": [ "https://replicate.delivery/pbxt/ci6gT7ajAV5UHZi6l3sSSnsfxYg9L8IGt7ArfYaqyBieUbCjA/out-0.png", "https://replicate.delivery/pbxt/BBLQiVCCdrJgOprKjZS18wqwzT1dwzdweBoKi8QN5RjP1mwIA/out-1.png" ], "started_at": "2023-09-05T13:09:17.482845Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/mezjha3b5icx625mjsuwygctn4", "cancel": "https://api.replicate.com/v1/predictions/mezjha3b5icx625mjsuwygctn4/cancel" }, "version": "d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756" }Generated inUsing seed: 58185 Prompt: children playing with robots in a new york streets, flying cars above, future, daylight, cute, in the style of Romy txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:30, 1.63it/s] 4%|▍ | 2/50 [00:01<00:29, 1.63it/s] 6%|▌ | 3/50 [00:01<00:28, 1.63it/s] 8%|▊ | 4/50 [00:02<00:28, 1.64it/s] 10%|█ | 5/50 [00:03<00:27, 1.64it/s] 12%|█▏ | 6/50 [00:03<00:26, 1.64it/s] 14%|█▍ | 7/50 [00:04<00:26, 1.63it/s] 16%|█▌ | 8/50 [00:04<00:25, 1.63it/s] 18%|█▊ | 9/50 [00:05<00:25, 1.63it/s] 20%|██ | 10/50 [00:06<00:24, 1.64it/s] 22%|██▏ | 11/50 [00:06<00:23, 1.64it/s] 24%|██▍ | 12/50 [00:07<00:23, 1.64it/s] 26%|██▌ | 13/50 [00:07<00:22, 1.64it/s] 28%|██▊ | 14/50 [00:08<00:21, 1.64it/s] 30%|███ | 15/50 [00:09<00:21, 1.64it/s] 32%|███▏ | 16/50 [00:09<00:20, 1.64it/s] 34%|███▍ | 17/50 [00:10<00:20, 1.64it/s] 36%|███▌ | 18/50 [00:10<00:19, 1.64it/s] 38%|███▊ | 19/50 [00:11<00:18, 1.64it/s] 40%|████ | 20/50 [00:12<00:18, 1.64it/s] 42%|████▏ | 21/50 [00:12<00:17, 1.63it/s] 44%|████▍ | 22/50 [00:13<00:17, 1.63it/s] 46%|████▌ | 23/50 [00:14<00:16, 1.63it/s] 48%|████▊ | 24/50 [00:14<00:15, 1.63it/s] 50%|█████ | 25/50 [00:15<00:15, 1.63it/s] 52%|█████▏ | 26/50 [00:15<00:14, 1.63it/s] 54%|█████▍ | 27/50 [00:16<00:14, 1.63it/s] 56%|█████▌ | 28/50 [00:17<00:13, 1.63it/s] 58%|█████▊ | 29/50 [00:17<00:12, 1.63it/s] 60%|██████ | 30/50 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guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756ID5ggfbkdbslxvhpvuil4t55qf3aStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 896
- height
- 1344
- prompt
- Children riding lion, Majestic lion carrying joyful children, Sunny savannah with tall grass, Playful and adventurous atmosphere, in the style of Romy
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 2
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 896, "height": 1344, "prompt": "Children riding lion, Majestic lion carrying joyful children, Sunny savannah with tall grass, Playful and adventurous atmosphere, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport 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 guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", { input: { width: 896, height: 1344, prompt: "Children riding lion, Majestic lion carrying joyful children, Sunny savannah with tall grass, Playful and adventurous atmosphere, in the style of Romy", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 2, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, 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 replicateImport the client:import replicateRun guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", input={ "width": 896, "height": 1344, "prompt": "Children riding lion, Majestic lion carrying joyful children, Sunny savannah with tall grass, Playful and adventurous atmosphere, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "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 guillaumesimon/romy-style 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": "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", "input": { "width": 896, "height": 1344, "prompt": "Children riding lion, Majestic lion carrying joyful children, Sunny savannah with tall grass, Playful and adventurous atmosphere, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-05T13:14:46.281861Z", "created_at": "2023-09-05T13:14:11.747618Z", "data_removed": false, "error": null, "id": "5ggfbkdbslxvhpvuil4t55qf3a", "input": { "width": 896, "height": 1344, "prompt": "Children riding lion, Majestic lion carrying joyful children, Sunny savannah with tall grass, Playful and adventurous atmosphere, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 34848\nPrompt: Children riding lion, Majestic lion carrying joyful children, Sunny savannah with tall grass, Playful and adventurous atmosphere, in the style of Romy\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:29, 1.64it/s]\n 4%|▍ | 2/50 [00:01<00:29, 1.64it/s]\n 6%|▌ | 3/50 [00:01<00:28, 1.64it/s]\n 8%|▊ | 4/50 [00:02<00:28, 1.64it/s]\n 10%|█ | 5/50 [00:03<00:27, 1.64it/s]\n 12%|█▏ | 6/50 [00:03<00:26, 1.64it/s]\n 14%|█▍ | 7/50 [00:04<00:26, 1.64it/s]\n 16%|█▌ | 8/50 [00:04<00:25, 1.64it/s]\n 18%|█▊ | 9/50 [00:05<00:25, 1.64it/s]\n 20%|██ | 10/50 [00:06<00:24, 1.63it/s]\n 22%|██▏ | 11/50 [00:06<00:23, 1.63it/s]\n 24%|██▍ | 12/50 [00:07<00:23, 1.63it/s]\n 26%|██▌ | 13/50 [00:07<00:22, 1.63it/s]\n 28%|██▊ | 14/50 [00:08<00:22, 1.63it/s]\n 30%|███ | 15/50 [00:09<00:21, 1.63it/s]\n 32%|███▏ | 16/50 [00:09<00:20, 1.63it/s]\n 34%|███▍ | 17/50 [00:10<00:20, 1.62it/s]\n 36%|███▌ | 18/50 [00:11<00:19, 1.63it/s]\n 38%|███▊ | 19/50 [00:11<00:19, 1.63it/s]\n 40%|████ | 20/50 [00:12<00:18, 1.63it/s]\n 42%|████▏ | 21/50 [00:12<00:17, 1.63it/s]\n 44%|████▍ | 22/50 [00:13<00:17, 1.63it/s]\n 46%|████▌ | 23/50 [00:14<00:16, 1.63it/s]\n 48%|████▊ | 24/50 [00:14<00:15, 1.63it/s]\n 50%|█████ | 25/50 [00:15<00:15, 1.63it/s]\n 52%|█████▏ | 26/50 [00:15<00:14, 1.63it/s]\n 54%|█████▍ | 27/50 [00:16<00:14, 1.63it/s]\n 56%|█████▌ | 28/50 [00:17<00:13, 1.63it/s]\n 58%|█████▊ | 29/50 [00:17<00:12, 1.63it/s]\n 60%|██████ | 30/50 [00:18<00:12, 1.63it/s]\n 62%|██████▏ | 31/50 [00:19<00:11, 1.63it/s]\n 64%|██████▍ | 32/50 [00:19<00:11, 1.63it/s]\n 66%|██████▌ | 33/50 [00:20<00:10, 1.63it/s]\n 68%|██████▊ | 34/50 [00:20<00:09, 1.63it/s]\n 70%|███████ | 35/50 [00:21<00:09, 1.63it/s]\n 72%|███████▏ | 36/50 [00:22<00:08, 1.63it/s]\n 74%|███████▍ | 37/50 [00:22<00:07, 1.63it/s]\n 76%|███████▌ | 38/50 [00:23<00:07, 1.63it/s]\n 78%|███████▊ | 39/50 [00:23<00:06, 1.63it/s]\n 80%|████████ | 40/50 [00:24<00:06, 1.63it/s]\n 82%|████████▏ | 41/50 [00:25<00:05, 1.63it/s]\n 84%|████████▍ | 42/50 [00:25<00:04, 1.63it/s]\n 86%|████████▌ | 43/50 [00:26<00:04, 1.63it/s]\n 88%|████████▊ | 44/50 [00:27<00:03, 1.63it/s]\n 90%|█████████ | 45/50 [00:27<00:03, 1.63it/s]\n 92%|█████████▏| 46/50 [00:28<00:02, 1.63it/s]\n 94%|█████████▍| 47/50 [00:28<00:01, 1.63it/s]\n 96%|█████████▌| 48/50 [00:29<00:01, 1.63it/s]\n 98%|█████████▊| 49/50 [00:30<00:00, 1.63it/s]\n100%|██████████| 50/50 [00:30<00:00, 1.63it/s]\n100%|██████████| 50/50 [00:30<00:00, 1.63it/s]", "metrics": { "predict_time": 34.56592, "total_time": 34.534243 }, "output": [ "https://replicate.delivery/pbxt/f8iz9birxzQ2FKpu5yVksJHB0GSJ3U6lslpm2W9kHseEvNhRA/out-0.png", "https://replicate.delivery/pbxt/azi0G6xQ9e3VLKjOteOnKvjxrPWDO14xD4OUPgyWpwTFvNhRA/out-1.png" ], "started_at": "2023-09-05T13:14:11.715941Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/5ggfbkdbslxvhpvuil4t55qf3a", "cancel": "https://api.replicate.com/v1/predictions/5ggfbkdbslxvhpvuil4t55qf3a/cancel" }, "version": "d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756" }Generated inUsing seed: 34848 Prompt: Children riding lion, Majestic lion carrying joyful children, Sunny savannah with tall grass, Playful and adventurous atmosphere, in the style of Romy txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:29, 1.64it/s] 4%|▍ | 2/50 [00:01<00:29, 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100%|██████████| 50/50 [00:30<00:00, 1.63it/s] 100%|██████████| 50/50 [00:30<00:00, 1.63it/s]Prediction
guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756IDasohzrdb554nx5yjaci3rrbe5iStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 896
- height
- 1344
- prompt
- Curious children, Arctic landscape with snow-covered igloos, in the style of Romy
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 2
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 896, "height": 1344, "prompt": "Curious children, Arctic landscape with snow-covered igloos, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport 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 guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", { input: { width: 896, height: 1344, prompt: "Curious children, Arctic landscape with snow-covered igloos, in the style of Romy", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 2, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, 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 replicateImport the client:import replicateRun guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", input={ "width": 896, "height": 1344, "prompt": "Curious children, Arctic landscape with snow-covered igloos, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "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 guillaumesimon/romy-style 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": "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", "input": { "width": 896, "height": 1344, "prompt": "Curious children, Arctic landscape with snow-covered igloos, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-05T13:19:47.194480Z", "created_at": "2023-09-05T13:19:12.679563Z", "data_removed": false, "error": null, "id": "asohzrdb554nx5yjaci3rrbe5i", "input": { "width": 896, "height": 1344, "prompt": "Curious children, Arctic landscape with snow-covered igloos, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 11257\nPrompt: Curious children, Arctic landscape with snow-covered igloos, in the style of Romy\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:29, 1.64it/s]\n 4%|▍ | 2/50 [00:01<00:29, 1.64it/s]\n 6%|▌ | 3/50 [00:01<00:28, 1.64it/s]\n 8%|▊ | 4/50 [00:02<00:28, 1.64it/s]\n 10%|█ | 5/50 [00:03<00:27, 1.64it/s]\n 12%|█▏ | 6/50 [00:03<00:26, 1.64it/s]\n 14%|█▍ | 7/50 [00:04<00:26, 1.64it/s]\n 16%|█▌ | 8/50 [00:04<00:25, 1.64it/s]\n 18%|█▊ | 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| 32/50 [00:19<00:11, 1.63it/s]\n 66%|██████▌ | 33/50 [00:20<00:10, 1.63it/s]\n 68%|██████▊ | 34/50 [00:20<00:09, 1.63it/s]\n 70%|███████ | 35/50 [00:21<00:09, 1.63it/s]\n 72%|███████▏ | 36/50 [00:22<00:08, 1.63it/s]\n 74%|███████▍ | 37/50 [00:22<00:07, 1.63it/s]\n 76%|███████▌ | 38/50 [00:23<00:07, 1.63it/s]\n 78%|███████▊ | 39/50 [00:23<00:06, 1.63it/s]\n 80%|████████ | 40/50 [00:24<00:06, 1.63it/s]\n 82%|████████▏ | 41/50 [00:25<00:05, 1.63it/s]\n 84%|████████▍ | 42/50 [00:25<00:04, 1.63it/s]\n 86%|████████▌ | 43/50 [00:26<00:04, 1.63it/s]\n 88%|████████▊ | 44/50 [00:26<00:03, 1.63it/s]\n 90%|█████████ | 45/50 [00:27<00:03, 1.63it/s]\n 92%|█████████▏| 46/50 [00:28<00:02, 1.63it/s]\n 94%|█████████▍| 47/50 [00:28<00:01, 1.63it/s]\n 96%|█████████▌| 48/50 [00:29<00:01, 1.63it/s]\n 98%|█████████▊| 49/50 [00:30<00:00, 1.63it/s]\n100%|██████████| 50/50 [00:30<00:00, 1.63it/s]\n100%|██████████| 50/50 [00:30<00:00, 1.63it/s]", "metrics": { "predict_time": 34.605514, "total_time": 34.514917 }, "output": [ "https://replicate.delivery/pbxt/r2ovhGLT2AKGCBC1NBGhUki1ePw3s7cie2JhfRdHfMtGP3EGB/out-0.png", "https://replicate.delivery/pbxt/oynHFxZbVfyscauKA3RT6Xp70x1f59RCEOyDbAeIQ3WknbCjA/out-1.png" ], "started_at": "2023-09-05T13:19:12.588966Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/asohzrdb554nx5yjaci3rrbe5i", "cancel": "https://api.replicate.com/v1/predictions/asohzrdb554nx5yjaci3rrbe5i/cancel" }, "version": "d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756" }Generated inUsing seed: 11257 Prompt: Curious children, Arctic landscape with snow-covered igloos, in the style of Romy txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:29, 1.64it/s] 4%|▍ | 2/50 [00:01<00:29, 1.64it/s] 6%|▌ | 3/50 [00:01<00:28, 1.64it/s] 8%|▊ | 4/50 [00:02<00:28, 1.64it/s] 10%|█ | 5/50 [00:03<00:27, 1.64it/s] 12%|█▏ | 6/50 [00:03<00:26, 1.64it/s] 14%|█▍ | 7/50 [00:04<00:26, 1.64it/s] 16%|█▌ | 8/50 [00:04<00:25, 1.64it/s] 18%|█▊ | 9/50 [00:05<00:25, 1.64it/s] 20%|██ | 10/50 [00:06<00:24, 1.64it/s] 22%|██▏ | 11/50 [00:06<00:23, 1.63it/s] 24%|██▍ | 12/50 [00:07<00:23, 1.63it/s] 26%|██▌ | 13/50 [00:07<00:22, 1.63it/s] 28%|██▊ | 14/50 [00:08<00:22, 1.63it/s] 30%|███ | 15/50 [00:09<00:21, 1.63it/s] 32%|███▏ | 16/50 [00:09<00:20, 1.62it/s] 34%|███▍ | 17/50 [00:10<00:20, 1.63it/s] 36%|███▌ | 18/50 [00:11<00:19, 1.63it/s] 38%|███▊ | 19/50 [00:11<00:19, 1.63it/s] 40%|████ | 20/50 [00:12<00:18, 1.63it/s] 42%|████▏ | 21/50 [00:12<00:17, 1.63it/s] 44%|████▍ | 22/50 [00:13<00:17, 1.63it/s] 46%|████▌ | 23/50 [00:14<00:16, 1.63it/s] 48%|████▊ | 24/50 [00:14<00:15, 1.63it/s] 50%|█████ | 25/50 [00:15<00:15, 1.63it/s] 52%|█████▏ | 26/50 [00:15<00:14, 1.63it/s] 54%|█████▍ | 27/50 [00:16<00:14, 1.63it/s] 56%|█████▌ | 28/50 [00:17<00:13, 1.63it/s] 58%|█████▊ | 29/50 [00:17<00:12, 1.63it/s] 60%|██████ | 30/50 [00:18<00:12, 1.63it/s] 62%|██████▏ | 31/50 [00:19<00:11, 1.63it/s] 64%|██████▍ | 32/50 [00:19<00:11, 1.63it/s] 66%|██████▌ | 33/50 [00:20<00:10, 1.63it/s] 68%|██████▊ | 34/50 [00:20<00:09, 1.63it/s] 70%|███████ | 35/50 [00:21<00:09, 1.63it/s] 72%|███████▏ | 36/50 [00:22<00:08, 1.63it/s] 74%|███████▍ | 37/50 [00:22<00:07, 1.63it/s] 76%|███████▌ | 38/50 [00:23<00:07, 1.63it/s] 78%|███████▊ | 39/50 [00:23<00:06, 1.63it/s] 80%|████████ | 40/50 [00:24<00:06, 1.63it/s] 82%|████████▏ | 41/50 [00:25<00:05, 1.63it/s] 84%|████████▍ | 42/50 [00:25<00:04, 1.63it/s] 86%|████████▌ | 43/50 [00:26<00:04, 1.63it/s] 88%|████████▊ | 44/50 [00:26<00:03, 1.63it/s] 90%|█████████ | 45/50 [00:27<00:03, 1.63it/s] 92%|█████████▏| 46/50 [00:28<00:02, 1.63it/s] 94%|█████████▍| 47/50 [00:28<00:01, 1.63it/s] 96%|█████████▌| 48/50 [00:29<00:01, 1.63it/s] 98%|█████████▊| 49/50 [00:30<00:00, 1.63it/s] 100%|██████████| 50/50 [00:30<00:00, 1.63it/s] 100%|██████████| 50/50 [00:30<00:00, 1.63it/s]Prediction
guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756IDo4nz7qtbp3zpg2nm72op3mkkfeStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 896
- height
- 1344
- prompt
- Children awestruck by haunted mansion, Fearful children gazing at eerie haunted mansion, Moonlit night with ominous clouds and fog, Spooky and chilling atmosphere, in the style of Romy
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 2
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 896, "height": 1344, "prompt": "Children awestruck by haunted mansion, Fearful children gazing at eerie haunted mansion, Moonlit night with ominous clouds and fog, Spooky and chilling atmosphere, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport 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 guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", { input: { width: 896, height: 1344, prompt: "Children awestruck by haunted mansion, Fearful children gazing at eerie haunted mansion, Moonlit night with ominous clouds and fog, Spooky and chilling atmosphere, in the style of Romy", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 2, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, 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 replicateImport the client:import replicateRun guillaumesimon/romy-style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", input={ "width": 896, "height": 1344, "prompt": "Children awestruck by haunted mansion, Fearful children gazing at eerie haunted mansion, Moonlit night with ominous clouds and fog, Spooky and chilling atmosphere, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "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 guillaumesimon/romy-style 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": "guillaumesimon/romy-style:d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756", "input": { "width": 896, "height": 1344, "prompt": "Children awestruck by haunted mansion, Fearful children gazing at eerie haunted mansion, Moonlit night with ominous clouds and fog, Spooky and chilling atmosphere, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-05T13:24:42.039617Z", "created_at": "2023-09-05T13:24:07.487065Z", "data_removed": false, "error": null, "id": "o4nz7qtbp3zpg2nm72op3mkkfe", "input": { "width": 896, "height": 1344, "prompt": "Children awestruck by haunted mansion, Fearful children gazing at eerie haunted mansion, Moonlit night with ominous clouds and fog, Spooky and chilling atmosphere, in the style of Romy", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 2, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 24746\nPrompt: Children awestruck by haunted mansion, Fearful children gazing at eerie haunted mansion, Moonlit night with ominous clouds and fog, Spooky and chilling atmosphere, in the style of Romy\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:29, 1.64it/s]\n 4%|▍ | 2/50 [00:01<00:29, 1.64it/s]\n 6%|▌ | 3/50 [00:01<00:28, 1.64it/s]\n 8%|▊ | 4/50 [00:02<00:28, 1.64it/s]\n 10%|█ | 5/50 [00:03<00:27, 1.63it/s]\n 12%|█▏ | 6/50 [00:03<00:26, 1.63it/s]\n 14%|█▍ | 7/50 [00:04<00:26, 1.64it/s]\n 16%|█▌ | 8/50 [00:04<00:25, 1.64it/s]\n 18%|█▊ | 9/50 [00:05<00:25, 1.64it/s]\n 20%|██ | 10/50 [00:06<00:24, 1.64it/s]\n 22%|██▏ | 11/50 [00:06<00:23, 1.64it/s]\n 24%|██▍ | 12/50 [00:07<00:23, 1.64it/s]\n 26%|██▌ | 13/50 [00:07<00:22, 1.64it/s]\n 28%|██▊ | 14/50 [00:08<00:21, 1.64it/s]\n 30%|███ | 15/50 [00:09<00:21, 1.64it/s]\n 32%|███▏ | 16/50 [00:09<00:20, 1.64it/s]\n 34%|███▍ | 17/50 [00:10<00:20, 1.64it/s]\n 36%|███▌ | 18/50 [00:10<00:19, 1.64it/s]\n 38%|███▊ | 19/50 [00:11<00:18, 1.64it/s]\n 40%|████ | 20/50 [00:12<00:18, 1.64it/s]\n 42%|████▏ | 21/50 [00:12<00:17, 1.64it/s]\n 44%|████▍ | 22/50 [00:13<00:17, 1.64it/s]\n 46%|████▌ | 23/50 [00:14<00:16, 1.64it/s]\n 48%|████▊ | 24/50 [00:14<00:15, 1.63it/s]\n 50%|█████ | 25/50 [00:15<00:15, 1.63it/s]\n 52%|█████▏ | 26/50 [00:15<00:14, 1.63it/s]\n 54%|█████▍ | 27/50 [00:16<00:14, 1.63it/s]\n 56%|█████▌ | 28/50 [00:17<00:13, 1.63it/s]\n 58%|█████▊ | 29/50 [00:17<00:12, 1.63it/s]\n 60%|██████ | 30/50 [00:18<00:12, 1.63it/s]\n 62%|██████▏ | 31/50 [00:18<00:11, 1.63it/s]\n 64%|██████▍ | 32/50 [00:19<00:11, 1.63it/s]\n 66%|██████▌ | 33/50 [00:20<00:10, 1.63it/s]\n 68%|██████▊ | 34/50 [00:20<00:09, 1.63it/s]\n 70%|███████ | 35/50 [00:21<00:09, 1.63it/s]\n 72%|███████▏ | 36/50 [00:22<00:08, 1.63it/s]\n 74%|███████▍ | 37/50 [00:22<00:07, 1.63it/s]\n 76%|███████▌ | 38/50 [00:23<00:07, 1.63it/s]\n 78%|███████▊ | 39/50 [00:23<00:06, 1.63it/s]\n 80%|████████ | 40/50 [00:24<00:06, 1.63it/s]\n 82%|████████▏ | 41/50 [00:25<00:05, 1.63it/s]\n 84%|████████▍ | 42/50 [00:25<00:04, 1.63it/s]\n 86%|████████▌ | 43/50 [00:26<00:04, 1.63it/s]\n 88%|████████▊ | 44/50 [00:26<00:03, 1.63it/s]\n 90%|█████████ | 45/50 [00:27<00:03, 1.63it/s]\n 92%|█████████▏| 46/50 [00:28<00:02, 1.63it/s]\n 94%|█████████▍| 47/50 [00:28<00:01, 1.63it/s]\n 96%|█████████▌| 48/50 [00:29<00:01, 1.63it/s]\n 98%|█████████▊| 49/50 [00:30<00:00, 1.63it/s]\n100%|██████████| 50/50 [00:30<00:00, 1.63it/s]\n100%|██████████| 50/50 [00:30<00:00, 1.63it/s]", "metrics": { "predict_time": 34.54711, "total_time": 34.552552 }, "output": [ "https://replicate.delivery/pbxt/Z5krDhqJLNLbKB63uQhkX3yAp4qplZeWWLwPAhKqJNHM8mwIA/out-0.png", "https://replicate.delivery/pbxt/1iKfaFgZuzSRBSFxWtcN615fwLyWmTfR8zFNYKb4FfeNDvJMC/out-1.png" ], "started_at": "2023-09-05T13:24:07.492507Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/o4nz7qtbp3zpg2nm72op3mkkfe", "cancel": "https://api.replicate.com/v1/predictions/o4nz7qtbp3zpg2nm72op3mkkfe/cancel" }, "version": "d51b11d06579b8ca9137e9bbeac22ce086df51be45afaebc5b4a6503a4927756" }Generated inUsing seed: 24746 Prompt: Children awestruck by haunted mansion, Fearful children gazing at eerie haunted mansion, Moonlit night with ominous clouds and fog, Spooky and chilling atmosphere, in the style of Romy txt2img mode 0%| | 0/50 [00:00<?, 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