aramintak / mooniverse
Trigger phrase: surreal style
- Public
- 2.1K runs
-
H100
Prediction
aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feedInput
- model
- dev
- prompt
- zoomed out, A scarecrow standing guard in a cornfield, surreal style
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 3:2
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "zoomed out, A scarecrow standing guard in a cornfield, surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", { input: { model: "dev", prompt: "zoomed out, A scarecrow standing guard in a cornfield, surreal style", lora_scale: 1, num_outputs: 4, aspect_ratio: "3:2", output_format: "png", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", input={ "model": "dev", "prompt": "zoomed out, A scarecrow standing guard in a cornfield, surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aramintak/mooniverse 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": "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", "input": { "model": "dev", "prompt": "zoomed out, A scarecrow standing guard in a cornfield, surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-04T20:36:07.278531Z", "created_at": "2024-09-04T20:34:57.427000Z", "data_removed": false, "error": null, "id": "tq2mdajv2drm20chqtzrsj0q8g", "input": { "model": "dev", "prompt": "zoomed out, A scarecrow standing guard in a cornfield, surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 58723\nPrompt: zoomed out, A scarecrow standing guard in a cornfield, surreal style\ntxt2img mode\nUsing dev model\nfree=9043835387904\nDownloading weights\n2024-09-04T20:35:17Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7rp8w6fp/weights url=https://replicate.delivery/yhqm/Sed4eleo5QWNIJbapfjmAf9i2xCyHe5b4x45r5MxQq5eeomZTA/trained_model.tar\n2024-09-04T20:35:20Z | INFO | [ Complete ] dest=/tmp/tmp7rp8w6fp/weights size=\"451 MB\" total_elapsed=2.610s url=https://replicate.delivery/yhqm/Sed4eleo5QWNIJbapfjmAf9i2xCyHe5b4x45r5MxQq5eeomZTA/trained_model.tar\nDownloaded weights in 2.65s\nLoaded LoRAs in 16.51s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:28, 1.05s/it]\n 7%|▋ | 2/28 [00:01<00:24, 1.08it/s]\n 11%|█ | 3/28 [00:02<00:24, 1.01it/s]\n 14%|█▍ | 4/28 [00:04<00:24, 1.02s/it]\n 18%|█▊ | 5/28 [00:05<00:23, 1.03s/it]\n 21%|██▏ | 6/28 [00:06<00:22, 1.04s/it]\n 25%|██▌ | 7/28 [00:07<00:21, 1.05s/it]\n 29%|██▊ | 8/28 [00:08<00:21, 1.05s/it]\n 32%|███▏ | 9/28 [00:09<00:20, 1.05s/it]\n 36%|███▌ | 10/28 [00:10<00:19, 1.06s/it]\n 39%|███▉ | 11/28 [00:11<00:17, 1.06s/it]\n 43%|████▎ | 12/28 [00:12<00:16, 1.06s/it]\n 46%|████▋ | 13/28 [00:13<00:15, 1.06s/it]\n 50%|█████ | 14/28 [00:14<00:14, 1.06s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.06s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.06s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.06s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.06s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.06s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.06s/it]\n 75%|███████▌ | 21/28 [00:22<00:07, 1.06s/it]\n 79%|███████▊ | 22/28 [00:23<00:06, 1.06s/it]\n 82%|████████▏ | 23/28 [00:24<00:05, 1.06s/it]\n 86%|████████▌ | 24/28 [00:25<00:04, 1.06s/it]\n 89%|████████▉ | 25/28 [00:26<00:03, 1.06s/it]\n 93%|█████████▎| 26/28 [00:27<00:02, 1.06s/it]\n 96%|█████████▋| 27/28 [00:28<00:01, 1.06s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.06s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.05s/it]", "metrics": { "predict_time": 49.6744054, "total_time": 69.851531 }, "output": [ "https://replicate.delivery/yhqm/Jpe2v7AdgI3YBa3UwvfPpiPIJOs2I6vBg8MFk917SLY2anZTA/out-0.png", "https://replicate.delivery/yhqm/6Sww7Dv4ofRlESNWxdmOPeZjHgK7g0VbFwrkD45QNfLt1OzmA/out-1.png", "https://replicate.delivery/yhqm/mlqjzQK0mrJYIl3wVqxefC3QeuSHJNIgAh13eQMYVfdyW7MbC/out-2.png", "https://replicate.delivery/yhqm/secFbAmAQcVIDq8oN95E1MxQkfmr9e1G9ZfLnn6GGz6eW7MbC/out-3.png" ], "started_at": "2024-09-04T20:35:17.604125Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/tq2mdajv2drm20chqtzrsj0q8g", "cancel": "https://api.replicate.com/v1/predictions/tq2mdajv2drm20chqtzrsj0q8g/cancel" }, "version": "65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed" }Generated inUsing seed: 58723 Prompt: zoomed out, A scarecrow standing guard in a cornfield, surreal style txt2img mode Using dev model free=9043835387904 Downloading weights 2024-09-04T20:35:17Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7rp8w6fp/weights url=https://replicate.delivery/yhqm/Sed4eleo5QWNIJbapfjmAf9i2xCyHe5b4x45r5MxQq5eeomZTA/trained_model.tar 2024-09-04T20:35:20Z | INFO | [ Complete ] dest=/tmp/tmp7rp8w6fp/weights size="451 MB" total_elapsed=2.610s url=https://replicate.delivery/yhqm/Sed4eleo5QWNIJbapfjmAf9i2xCyHe5b4x45r5MxQq5eeomZTA/trained_model.tar Downloaded weights in 2.65s Loaded LoRAs in 16.51s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:28, 1.05s/it] 7%|▋ | 2/28 [00:01<00:24, 1.08it/s] 11%|█ | 3/28 [00:02<00:24, 1.01it/s] 14%|█▍ | 4/28 [00:04<00:24, 1.02s/it] 18%|█▊ | 5/28 [00:05<00:23, 1.03s/it] 21%|██▏ | 6/28 [00:06<00:22, 1.04s/it] 25%|██▌ | 7/28 [00:07<00:21, 1.05s/it] 29%|██▊ | 8/28 [00:08<00:21, 1.05s/it] 32%|███▏ | 9/28 [00:09<00:20, 1.05s/it] 36%|███▌ | 10/28 [00:10<00:19, 1.06s/it] 39%|███▉ | 11/28 [00:11<00:17, 1.06s/it] 43%|████▎ | 12/28 [00:12<00:16, 1.06s/it] 46%|████▋ | 13/28 [00:13<00:15, 1.06s/it] 50%|█████ | 14/28 [00:14<00:14, 1.06s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.06s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.06s/it] 61%|██████ | 17/28 [00:17<00:11, 1.06s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.06s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.06s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.06s/it] 75%|███████▌ | 21/28 [00:22<00:07, 1.06s/it] 79%|███████▊ | 22/28 [00:23<00:06, 1.06s/it] 82%|████████▏ | 23/28 [00:24<00:05, 1.06s/it] 86%|████████▌ | 24/28 [00:25<00:04, 1.06s/it] 89%|████████▉ | 25/28 [00:26<00:03, 1.06s/it] 93%|█████████▎| 26/28 [00:27<00:02, 1.06s/it] 96%|█████████▋| 27/28 [00:28<00:01, 1.06s/it] 100%|██████████| 28/28 [00:29<00:00, 1.06s/it] 100%|██████████| 28/28 [00:29<00:00, 1.05s/it]Prediction
aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feedIDe4910f2v2hrm20chqv0rm67c0gStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A young man with glasses, slightly messy hair, and a thoughtful expression, potrait, surreal style
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 3:2
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A young man with glasses, slightly messy hair, and a thoughtful expression, potrait, surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", { input: { model: "dev", prompt: "A young man with glasses, slightly messy hair, and a thoughtful expression, potrait, surreal style", lora_scale: 1, num_outputs: 4, aspect_ratio: "3:2", output_format: "png", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", input={ "model": "dev", "prompt": "A young man with glasses, slightly messy hair, and a thoughtful expression, potrait, surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aramintak/mooniverse 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": "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", "input": { "model": "dev", "prompt": "A young man with glasses, slightly messy hair, and a thoughtful expression, potrait, surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-04T20:38:14.521577Z", "created_at": "2024-09-04T20:37:08.500000Z", "data_removed": false, "error": null, "id": "e4910f2v2hrm20chqv0rm67c0g", "input": { "model": "dev", "prompt": "A young man with glasses, slightly messy hair, and a thoughtful expression, potrait, surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 59231\nPrompt: A young man with glasses, slightly messy hair, and a thoughtful expression, potrait, surreal style\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 14.49s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:28, 1.05s/it]\n 7%|▋ | 2/28 [00:01<00:23, 1.08it/s]\n 11%|█ | 3/28 [00:02<00:24, 1.02it/s]\n 14%|█▍ | 4/28 [00:03<00:24, 1.01s/it]\n 18%|█▊ | 5/28 [00:05<00:23, 1.03s/it]\n 21%|██▏ | 6/28 [00:06<00:22, 1.04s/it]\n 25%|██▌ | 7/28 [00:07<00:21, 1.05s/it]\n 29%|██▊ | 8/28 [00:08<00:20, 1.05s/it]\n 32%|███▏ | 9/28 [00:09<00:19, 1.05s/it]\n 36%|███▌ | 10/28 [00:10<00:18, 1.05s/it]\n 39%|███▉ | 11/28 [00:11<00:17, 1.06s/it]\n 43%|████▎ | 12/28 [00:12<00:16, 1.06s/it]\n 46%|████▋ | 13/28 [00:13<00:15, 1.06s/it]\n 50%|█████ | 14/28 [00:14<00:14, 1.06s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.06s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.06s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.06s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.06s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.06s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.06s/it]\n 75%|███████▌ | 21/28 [00:22<00:07, 1.06s/it]\n 79%|███████▊ | 22/28 [00:23<00:06, 1.06s/it]\n 82%|████████▏ | 23/28 [00:24<00:05, 1.06s/it]\n 86%|████████▌ | 24/28 [00:25<00:04, 1.06s/it]\n 89%|████████▉ | 25/28 [00:26<00:03, 1.06s/it]\n 93%|█████████▎| 26/28 [00:27<00:02, 1.06s/it]\n 96%|█████████▋| 27/28 [00:28<00:01, 1.06s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.06s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.05s/it]", "metrics": { "predict_time": 47.581932136, "total_time": 66.021577 }, "output": [ "https://replicate.delivery/yhqm/NCysSg7Fae3vLCMifAuBIfWu0ZgUdB2T7NF3b1kcGP1r5OzmA/out-0.png", "https://replicate.delivery/yhqm/fjBfvWYINZtnPE4LE6fG65mpLs4yZ1rXLcka99bUlMPt5OzmA/out-1.png", "https://replicate.delivery/yhqm/VNhZbl4ZcyamERxWyqU8Ri8N9fdtH1zOujpfqfXdl1bs5OzmA/out-2.png", "https://replicate.delivery/yhqm/ttoTl5dDT7ZdJBDNUvzqedwOeMYk6zBGmqklNxRSdKg2cnZTA/out-3.png" ], "started_at": "2024-09-04T20:37:26.939645Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/e4910f2v2hrm20chqv0rm67c0g", "cancel": "https://api.replicate.com/v1/predictions/e4910f2v2hrm20chqv0rm67c0g/cancel" }, "version": "65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed" }Generated inUsing seed: 59231 Prompt: A young man with glasses, slightly messy hair, and a thoughtful expression, potrait, surreal style txt2img mode Using dev model Loaded LoRAs in 14.49s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:28, 1.05s/it] 7%|▋ | 2/28 [00:01<00:23, 1.08it/s] 11%|█ | 3/28 [00:02<00:24, 1.02it/s] 14%|█▍ | 4/28 [00:03<00:24, 1.01s/it] 18%|█▊ | 5/28 [00:05<00:23, 1.03s/it] 21%|██▏ | 6/28 [00:06<00:22, 1.04s/it] 25%|██▌ | 7/28 [00:07<00:21, 1.05s/it] 29%|██▊ | 8/28 [00:08<00:20, 1.05s/it] 32%|███▏ | 9/28 [00:09<00:19, 1.05s/it] 36%|███▌ | 10/28 [00:10<00:18, 1.05s/it] 39%|███▉ | 11/28 [00:11<00:17, 1.06s/it] 43%|████▎ | 12/28 [00:12<00:16, 1.06s/it] 46%|████▋ | 13/28 [00:13<00:15, 1.06s/it] 50%|█████ | 14/28 [00:14<00:14, 1.06s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.06s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.06s/it] 61%|██████ | 17/28 [00:17<00:11, 1.06s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.06s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.06s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.06s/it] 75%|███████▌ | 21/28 [00:22<00:07, 1.06s/it] 79%|███████▊ | 22/28 [00:23<00:06, 1.06s/it] 82%|████████▏ | 23/28 [00:24<00:05, 1.06s/it] 86%|████████▌ | 24/28 [00:25<00:04, 1.06s/it] 89%|████████▉ | 25/28 [00:26<00:03, 1.06s/it] 93%|█████████▎| 26/28 [00:27<00:02, 1.06s/it] 96%|█████████▋| 27/28 [00:28<00:01, 1.06s/it] 100%|██████████| 28/28 [00:29<00:00, 1.06s/it] 100%|██████████| 28/28 [00:29<00:00, 1.05s/it]Prediction
aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feedInput
- model
- dev
- prompt
- A four image grid of a woman making different facial expressions, cyborg, blonde, gray eyes, swedish, happy sad angry silly, surreal style
- lora_scale
- 0.99
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A four image grid of a woman making different facial expressions, cyborg, blonde, gray eyes, swedish, happy sad angry silly, surreal style", "lora_scale": 0.99, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", { input: { model: "dev", prompt: "A four image grid of a woman making different facial expressions, cyborg, blonde, gray eyes, swedish, happy sad angry silly, surreal style", lora_scale: 0.99, num_outputs: 4, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", input={ "model": "dev", "prompt": "A four image grid of a woman making different facial expressions, cyborg, blonde, gray eyes, swedish, happy sad angry silly, surreal style", "lora_scale": 0.99, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aramintak/mooniverse 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": "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", "input": { "model": "dev", "prompt": "A four image grid of a woman making different facial expressions, cyborg, blonde, gray eyes, swedish, happy sad angry silly, surreal style", "lora_scale": 0.99, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-04T20:59:17.978799Z", "created_at": "2024-09-04T20:58:06.664000Z", "data_removed": false, "error": null, "id": "v97rm9wds1rm00chqvabh72r0r", "input": { "model": "dev", "prompt": "A four image grid of a woman making different facial expressions, cyborg, blonde, gray eyes, swedish, happy sad angry silly, surreal style", "lora_scale": 0.99, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 22599\nPrompt: A four image grid of a woman making different facial expressions, cyborg, blonde, gray eyes, swedish, happy sad angry silly, surreal style\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 14.43s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:29, 1.10s/it]\n 7%|▋ | 2/28 [00:01<00:25, 1.03it/s]\n 11%|█ | 3/28 [00:03<00:25, 1.02s/it]\n 14%|█▍ | 4/28 [00:04<00:25, 1.05s/it]\n 18%|█▊ | 5/28 [00:05<00:24, 1.06s/it]\n 21%|██▏ | 6/28 [00:06<00:23, 1.07s/it]\n 25%|██▌ | 7/28 [00:07<00:22, 1.08s/it]\n 29%|██▊ | 8/28 [00:08<00:21, 1.08s/it]\n 32%|███▏ | 9/28 [00:09<00:20, 1.09s/it]\n 36%|███▌ | 10/28 [00:10<00:19, 1.09s/it]\n 39%|███▉ | 11/28 [00:11<00:18, 1.09s/it]\n 43%|████▎ | 12/28 [00:12<00:17, 1.09s/it]\n 46%|████▋ | 13/28 [00:13<00:16, 1.09s/it]\n 50%|█████ | 14/28 [00:15<00:15, 1.09s/it]\n 54%|█████▎ | 15/28 [00:16<00:14, 1.09s/it]\n 57%|█████▋ | 16/28 [00:17<00:13, 1.09s/it]\n 61%|██████ | 17/28 [00:18<00:11, 1.09s/it]\n 64%|██████▍ | 18/28 [00:19<00:10, 1.09s/it]\n 68%|██████▊ | 19/28 [00:20<00:09, 1.09s/it]\n 71%|███████▏ | 20/28 [00:21<00:08, 1.09s/it]\n 75%|███████▌ | 21/28 [00:22<00:07, 1.09s/it]\n 79%|███████▊ | 22/28 [00:23<00:06, 1.09s/it]\n 82%|████████▏ | 23/28 [00:24<00:05, 1.09s/it]\n 86%|████████▌ | 24/28 [00:25<00:04, 1.09s/it]\n 89%|████████▉ | 25/28 [00:27<00:03, 1.09s/it]\n 93%|█████████▎| 26/28 [00:28<00:02, 1.10s/it]\n 96%|█████████▋| 27/28 [00:29<00:01, 1.09s/it]\n100%|██████████| 28/28 [00:30<00:00, 1.09s/it]\n100%|██████████| 28/28 [00:30<00:00, 1.08s/it]", "metrics": { "predict_time": 48.873549354, "total_time": 71.314799 }, "output": [ "https://replicate.delivery/yhqm/BUIKL2iDQsrVCdWh0thxhe3JBSRHxjpJQ0a54WqDUw8S4zsJA/out-0.png", "https://replicate.delivery/yhqm/NeIDIrYdnWQEIqFCCgfIVXdNCNOCeSG4mXOAEf5mOBNUCfMbC/out-1.png", "https://replicate.delivery/yhqm/V3ahuar0D6KNCBTBzURXVwuZXBKY5FV0KcPZ00JOOIdJ8Z2E/out-2.png", "https://replicate.delivery/yhqm/eQGhgVWxiPVGcirrqILaLQaY5jjLn2Ad6PB0uXmc6K3S4zsJA/out-3.png" ], "started_at": "2024-09-04T20:58:29.105249Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/v97rm9wds1rm00chqvabh72r0r", "cancel": "https://api.replicate.com/v1/predictions/v97rm9wds1rm00chqvabh72r0r/cancel" }, "version": "65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed" }Generated inUsing seed: 22599 Prompt: A four image grid of a woman making different facial expressions, cyborg, blonde, gray eyes, swedish, happy sad angry silly, surreal style txt2img mode Using dev model Loaded LoRAs in 14.43s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:29, 1.10s/it] 7%|▋ | 2/28 [00:01<00:25, 1.03it/s] 11%|█ | 3/28 [00:03<00:25, 1.02s/it] 14%|█▍ | 4/28 [00:04<00:25, 1.05s/it] 18%|█▊ | 5/28 [00:05<00:24, 1.06s/it] 21%|██▏ | 6/28 [00:06<00:23, 1.07s/it] 25%|██▌ | 7/28 [00:07<00:22, 1.08s/it] 29%|██▊ | 8/28 [00:08<00:21, 1.08s/it] 32%|███▏ | 9/28 [00:09<00:20, 1.09s/it] 36%|███▌ | 10/28 [00:10<00:19, 1.09s/it] 39%|███▉ | 11/28 [00:11<00:18, 1.09s/it] 43%|████▎ | 12/28 [00:12<00:17, 1.09s/it] 46%|████▋ | 13/28 [00:13<00:16, 1.09s/it] 50%|█████ | 14/28 [00:15<00:15, 1.09s/it] 54%|█████▎ | 15/28 [00:16<00:14, 1.09s/it] 57%|█████▋ | 16/28 [00:17<00:13, 1.09s/it] 61%|██████ | 17/28 [00:18<00:11, 1.09s/it] 64%|██████▍ | 18/28 [00:19<00:10, 1.09s/it] 68%|██████▊ | 19/28 [00:20<00:09, 1.09s/it] 71%|███████▏ | 20/28 [00:21<00:08, 1.09s/it] 75%|███████▌ | 21/28 [00:22<00:07, 1.09s/it] 79%|███████▊ | 22/28 [00:23<00:06, 1.09s/it] 82%|████████▏ | 23/28 [00:24<00:05, 1.09s/it] 86%|████████▌ | 24/28 [00:25<00:04, 1.09s/it] 89%|████████▉ | 25/28 [00:27<00:03, 1.09s/it] 93%|█████████▎| 26/28 [00:28<00:02, 1.10s/it] 96%|█████████▋| 27/28 [00:29<00:01, 1.09s/it] 100%|██████████| 28/28 [00:30<00:00, 1.09s/it] 100%|██████████| 28/28 [00:30<00:00, 1.08s/it]Prediction
aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feedIDnw8h7zwcpsrm20chqvbvhcq1wcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A young woman with glasses, slightly messy hair holding a sign that says "trained on Replicate", surreal style
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 3:2
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A young woman with glasses, slightly messy hair holding a sign that says \"trained on Replicate\", surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", { input: { model: "dev", prompt: "A young woman with glasses, slightly messy hair holding a sign that says \"trained on Replicate\", surreal style", lora_scale: 1, num_outputs: 4, aspect_ratio: "3:2", output_format: "png", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", input={ "model": "dev", "prompt": "A young woman with glasses, slightly messy hair holding a sign that says \"trained on Replicate\", surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aramintak/mooniverse 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": "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", "input": { "model": "dev", "prompt": "A young woman with glasses, slightly messy hair holding a sign that says \\"trained on Replicate\\", surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-04T21:02:49.656050Z", "created_at": "2024-09-04T21:01:22.998000Z", "data_removed": false, "error": null, "id": "nw8h7zwcpsrm20chqvbvhcq1wc", "input": { "model": "dev", "prompt": "A young woman with glasses, slightly messy hair holding a sign that says \"trained on Replicate\", surreal style", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "3:2", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 51753\nPrompt: A young woman with glasses, slightly messy hair holding a sign that says \"trained on Replicate\", surreal style\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 38.10s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:28, 1.05s/it]\n 7%|▋ | 2/28 [00:01<00:23, 1.09it/s]\n 11%|█ | 3/28 [00:02<00:24, 1.02it/s]\n 14%|█▍ | 4/28 [00:04<00:24, 1.02s/it]\n 18%|█▊ | 5/28 [00:05<00:23, 1.03s/it]\n 21%|██▏ | 6/28 [00:06<00:22, 1.04s/it]\n 25%|██▌ | 7/28 [00:07<00:21, 1.04s/it]\n 29%|██▊ | 8/28 [00:08<00:20, 1.05s/it]\n 32%|███▏ | 9/28 [00:09<00:19, 1.05s/it]\n 36%|███▌ | 10/28 [00:10<00:18, 1.05s/it]\n 39%|███▉ | 11/28 [00:11<00:17, 1.05s/it]\n 43%|████▎ | 12/28 [00:12<00:16, 1.06s/it]\n 46%|████▋ | 13/28 [00:13<00:15, 1.06s/it]\n 50%|█████ | 14/28 [00:14<00:14, 1.06s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.06s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.06s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.06s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.06s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.06s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.06s/it]\n 75%|███████▌ | 21/28 [00:21<00:07, 1.06s/it]\n 79%|███████▊ | 22/28 [00:23<00:06, 1.06s/it]\n 82%|████████▏ | 23/28 [00:24<00:05, 1.06s/it]\n 86%|████████▌ | 24/28 [00:25<00:04, 1.06s/it]\n 89%|████████▉ | 25/28 [00:26<00:03, 1.06s/it]\n 93%|█████████▎| 26/28 [00:27<00:02, 1.06s/it]\n 96%|█████████▋| 27/28 [00:28<00:01, 1.06s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.06s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.05s/it]", "metrics": { "predict_time": 71.582241478, "total_time": 86.65805 }, "output": [ "https://replicate.delivery/yhqm/V8JqUSwXZ9ZENNv2yT3MYMrtHgjF9QJEsoM2M40rWlBe5zsJA/out-0.png", "https://replicate.delivery/yhqm/83UCKq3ehfkczkcxRIib9Tvgo2rceraFFeoCNu4LreaAf8Z2E/out-1.png", "https://replicate.delivery/yhqm/GozmFkfkwi1gPCApCi5jtfcZZ3L5l0kzm8sfUzha2JzynPzmA/out-2.png", "https://replicate.delivery/yhqm/jmA1HJ5WWAK9N5Le3mp3Ihu0PPcJUgQFYc9pniL9QRe5znZTA/out-3.png" ], "started_at": "2024-09-04T21:01:38.073808Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/nw8h7zwcpsrm20chqvbvhcq1wc", "cancel": "https://api.replicate.com/v1/predictions/nw8h7zwcpsrm20chqvbvhcq1wc/cancel" }, "version": "65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed" }Generated inUsing seed: 51753 Prompt: A young woman with glasses, slightly messy hair holding a sign that says "trained on Replicate", surreal style txt2img mode Using dev model Loaded LoRAs in 38.10s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:28, 1.05s/it] 7%|▋ | 2/28 [00:01<00:23, 1.09it/s] 11%|█ | 3/28 [00:02<00:24, 1.02it/s] 14%|█▍ | 4/28 [00:04<00:24, 1.02s/it] 18%|█▊ | 5/28 [00:05<00:23, 1.03s/it] 21%|██▏ | 6/28 [00:06<00:22, 1.04s/it] 25%|██▌ | 7/28 [00:07<00:21, 1.04s/it] 29%|██▊ | 8/28 [00:08<00:20, 1.05s/it] 32%|███▏ | 9/28 [00:09<00:19, 1.05s/it] 36%|███▌ | 10/28 [00:10<00:18, 1.05s/it] 39%|███▉ | 11/28 [00:11<00:17, 1.05s/it] 43%|████▎ | 12/28 [00:12<00:16, 1.06s/it] 46%|████▋ | 13/28 [00:13<00:15, 1.06s/it] 50%|█████ | 14/28 [00:14<00:14, 1.06s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.06s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.06s/it] 61%|██████ | 17/28 [00:17<00:11, 1.06s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.06s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.06s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.06s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.06s/it] 79%|███████▊ | 22/28 [00:23<00:06, 1.06s/it] 82%|████████▏ | 23/28 [00:24<00:05, 1.06s/it] 86%|████████▌ | 24/28 [00:25<00:04, 1.06s/it] 89%|████████▉ | 25/28 [00:26<00:03, 1.06s/it] 93%|█████████▎| 26/28 [00:27<00:02, 1.06s/it] 96%|█████████▋| 27/28 [00:28<00:01, 1.06s/it] 100%|██████████| 28/28 [00:29<00:00, 1.06s/it] 100%|██████████| 28/28 [00:29<00:00, 1.05s/it]Prediction
aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feedID93nweptk1nrm20chqwb8cv1khrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- aliens finding a computer in the wreckage of a lost civilization, surreal style
- lora_scale
- 0.99
- num_outputs
- 4
- aspect_ratio
- 5:4
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "aliens finding a computer in the wreckage of a lost civilization, surreal style", "lora_scale": 0.99, "num_outputs": 4, "aspect_ratio": "5:4", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", { input: { model: "dev", prompt: "aliens finding a computer in the wreckage of a lost civilization, surreal style", lora_scale: 0.99, num_outputs: 4, aspect_ratio: "5:4", output_format: "png", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 aramintak/mooniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", input={ "model": "dev", "prompt": "aliens finding a computer in the wreckage of a lost civilization, surreal style", "lora_scale": 0.99, "num_outputs": 4, "aspect_ratio": "5:4", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run aramintak/mooniverse 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": "aramintak/mooniverse:65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed", "input": { "model": "dev", "prompt": "aliens finding a computer in the wreckage of a lost civilization, surreal style", "lora_scale": 0.99, "num_outputs": 4, "aspect_ratio": "5:4", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-04T22:11:14.418297Z", "created_at": "2024-09-04T22:09:57.005000Z", "data_removed": false, "error": null, "id": "93nweptk1nrm20chqwb8cv1khr", "input": { "model": "dev", "prompt": "aliens finding a computer in the wreckage of a lost civilization, surreal style", "lora_scale": 0.99, "num_outputs": 4, "aspect_ratio": "5:4", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 30078\nPrompt: aliens finding a computer in the wreckage of a lost civilization, surreal style\ntxt2img mode\nUsing dev model\nfree=8612070883328\nDownloading weights\n2024-09-04T22:09:57Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpanx8hfeo/weights url=https://replicate.delivery/yhqm/Sed4eleo5QWNIJbapfjmAf9i2xCyHe5b4x45r5MxQq5eeomZTA/trained_model.tar\n2024-09-04T22:10:00Z | INFO | [ Complete ] dest=/tmp/tmpanx8hfeo/weights size=\"451 MB\" total_elapsed=3.731s url=https://replicate.delivery/yhqm/Sed4eleo5QWNIJbapfjmAf9i2xCyHe5b4x45r5MxQq5eeomZTA/trained_model.tar\nDownloaded weights in 3.77s\nLoaded LoRAs in 45.77s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:27, 1.02s/it]\n 7%|▋ | 2/28 [00:01<00:23, 1.11it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.05it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.03it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.01it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.00it/s]\n 29%|██▊ | 8/28 [00:07<00:20, 1.00s/it]\n 32%|███▏ | 9/28 [00:08<00:19, 1.00s/it]\n 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it]\n 39%|███▉ | 11/28 [00:10<00:17, 1.01s/it]\n 43%|████▎ | 12/28 [00:11<00:16, 1.01s/it]\n 46%|████▋ | 13/28 [00:12<00:15, 1.01s/it]\n 50%|█████ | 14/28 [00:13<00:14, 1.01s/it]\n 54%|█████▎ | 15/28 [00:14<00:13, 1.01s/it]\n 57%|█████▋ | 16/28 [00:15<00:12, 1.01s/it]\n 61%|██████ | 17/28 [00:16<00:11, 1.01s/it]\n 64%|██████▍ | 18/28 [00:17<00:10, 1.01s/it]\n 68%|██████▊ | 19/28 [00:18<00:09, 1.01s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.01s/it]\n 75%|███████▌ | 21/28 [00:21<00:07, 1.01s/it]\n 79%|███████▊ | 22/28 [00:22<00:06, 1.01s/it]\n 82%|████████▏ | 23/28 [00:23<00:05, 1.01s/it]\n 86%|████████▌ | 24/28 [00:24<00:04, 1.01s/it]\n 89%|████████▉ | 25/28 [00:25<00:03, 1.01s/it]\n 93%|█████████▎| 26/28 [00:26<00:02, 1.01s/it]\n 96%|█████████▋| 27/28 [00:27<00:01, 1.01s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.01s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.00s/it]", "metrics": { "predict_time": 77.405005, "total_time": 77.413297 }, "output": [ "https://replicate.delivery/yhqm/6kX3WgkA0ZICCpR6J3PJMT4JHv6bzWG89jN9MymI3PWANa2E/out-0.png", "https://replicate.delivery/yhqm/JIoSYSDDZaJbCNodVzLBgkuFVoofzm4NgY78NhIsuhOBa0sJA/out-1.png", "https://replicate.delivery/yhqm/n36vF5uGOvJSHNdofs1VYoXYQUDVTpHRHvE9XROGAgfC0oZTA/out-2.png", "https://replicate.delivery/yhqm/H5ycIjCqHjpvNtjF7u55OkUXTDeflfjkUveQMoGBELuKQjmNB/out-3.png" ], "started_at": "2024-09-04T22:09:57.013292Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/93nweptk1nrm20chqwb8cv1khr", "cancel": "https://api.replicate.com/v1/predictions/93nweptk1nrm20chqwb8cv1khr/cancel" }, "version": "65b6f838ccedcf43512ef00060a36f7ecefcc8bc24382ab871bb5b2fb0f7feed" }Generated inUsing seed: 30078 Prompt: aliens finding a computer in the wreckage of a lost civilization, surreal style txt2img mode Using dev model free=8612070883328 Downloading weights 2024-09-04T22:09:57Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpanx8hfeo/weights url=https://replicate.delivery/yhqm/Sed4eleo5QWNIJbapfjmAf9i2xCyHe5b4x45r5MxQq5eeomZTA/trained_model.tar 2024-09-04T22:10:00Z | INFO | [ Complete ] dest=/tmp/tmpanx8hfeo/weights size="451 MB" total_elapsed=3.731s url=https://replicate.delivery/yhqm/Sed4eleo5QWNIJbapfjmAf9i2xCyHe5b4x45r5MxQq5eeomZTA/trained_model.tar Downloaded weights in 3.77s Loaded LoRAs in 45.77s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.02s/it] 7%|▋ | 2/28 [00:01<00:23, 1.11it/s] 11%|█ | 3/28 [00:02<00:23, 1.05it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.03it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.01it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.00it/s] 29%|██▊ | 8/28 [00:07<00:20, 1.00s/it] 32%|███▏ | 9/28 [00:08<00:19, 1.00s/it] 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it] 39%|███▉ | 11/28 [00:10<00:17, 1.01s/it] 43%|████▎ | 12/28 [00:11<00:16, 1.01s/it] 46%|████▋ | 13/28 [00:12<00:15, 1.01s/it] 50%|█████ | 14/28 [00:13<00:14, 1.01s/it] 54%|█████▎ | 15/28 [00:14<00:13, 1.01s/it] 57%|█████▋ | 16/28 [00:15<00:12, 1.01s/it] 61%|██████ | 17/28 [00:16<00:11, 1.01s/it] 64%|██████▍ | 18/28 [00:17<00:10, 1.01s/it] 68%|██████▊ | 19/28 [00:18<00:09, 1.01s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.01s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.01s/it] 79%|███████▊ | 22/28 [00:22<00:06, 1.01s/it] 82%|████████▏ | 23/28 [00:23<00:05, 1.01s/it] 86%|████████▌ | 24/28 [00:24<00:04, 1.01s/it] 89%|████████▉ | 25/28 [00:25<00:03, 1.01s/it] 93%|█████████▎| 26/28 [00:26<00:02, 1.01s/it] 96%|█████████▋| 27/28 [00:27<00:01, 1.01s/it] 100%|██████████| 28/28 [00:28<00:00, 1.01s/it] 100%|██████████| 28/28 [00:28<00:00, 1.00s/it]
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