cristobalascencio / florentino
- Public
- 94 runs
-
H100
Prediction
cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222ID02vjvyfa21rm40chgkavb4s040StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Make an image of a computer screen in the style of CDMX
- lora_scale
- 1.17
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Make an image of a computer screen in the style of CDMX", "lora_scale": 1.17, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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 cristobalascencio/florentino using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222", { input: { model: "dev", prompt: "Make an image of a computer screen in the style of CDMX", lora_scale: 1.17, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 cristobalascencio/florentino using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222", input={ "model": "dev", "prompt": "Make an image of a computer screen in the style of CDMX", "lora_scale": 1.17, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run cristobalascencio/florentino 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": "cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222", "input": { "model": "dev", "prompt": "Make an image of a computer screen in the style of CDMX", "lora_scale": 1.17, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-08-24T14:41:53.935560Z", "created_at": "2024-08-24T14:41:37.296000Z", "data_removed": false, "error": null, "id": "02vjvyfa21rm40chgkavb4s040", "input": { "model": "dev", "prompt": "Make an image of a computer screen in the style of CDMX", "lora_scale": 1.17, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 40729\nPrompt: Make an image of a computer screen in the style of CDMX\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 8.23s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.55it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.98it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.78it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.68it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.62it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.60it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.57it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.55it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.55it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.54it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.54it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.55it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.55it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.54it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.54it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.54it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.55it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.55it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.55it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.54it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.54it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.55it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.57it/s]", "metrics": { "predict_time": 16.630738448, "total_time": 16.63956 }, "output": [ "https://replicate.delivery/yhqm/LTHVbYADie0rdCwCBenyfnrP01BXOyZKe4nAc7Tuzt5EzoXNB/out-0.webp" ], "started_at": "2024-08-24T14:41:37.304821Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/02vjvyfa21rm40chgkavb4s040", "cancel": "https://api.replicate.com/v1/predictions/02vjvyfa21rm40chgkavb4s040/cancel" }, "version": "918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222" }Generated inUsing seed: 40729 Prompt: Make an image of a computer screen in the style of CDMX txt2img mode Using dev model Loaded LoRAs in 8.23s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.55it/s] 7%|▋ | 2/28 [00:00<00:06, 3.98it/s] 11%|█ | 3/28 [00:00<00:06, 3.78it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.68it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.62it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.60it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.57it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.55it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.55it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.54it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.54it/s] 50%|█████ | 14/28 [00:03<00:03, 3.55it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s] 61%|██████ | 17/28 [00:04<00:03, 3.55it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.54it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.54it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.54it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.55it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.55it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.55it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.54it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.54it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.54it/s] 100%|██████████| 28/28 [00:07<00:00, 3.55it/s] 100%|██████████| 28/28 [00:07<00:00, 3.57it/s]Prediction
cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222IDpzg7f775h1rm00chtxaa5ws1zcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Make an image of a of a central microchip with various digital icons and devices connected by circuit lines, all set against a futuristic GREEN background in the style of CDMX
- lora_scale
- 1.21
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Make an image of a of a central microchip with various digital icons and devices connected by circuit lines, all set against a futuristic GREEN background in the style of CDMX", "lora_scale": 1.21, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "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 cristobalascencio/florentino using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222", { input: { model: "dev", prompt: "Make an image of a of a central microchip with various digital icons and devices connected by circuit lines, all set against a futuristic GREEN background in the style of CDMX", lora_scale: 1.21, num_outputs: 2, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 0.8, 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 cristobalascencio/florentino using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222", input={ "model": "dev", "prompt": "Make an image of a of a central microchip with various digital icons and devices connected by circuit lines, all set against a futuristic GREEN background in the style of CDMX", "lora_scale": 1.21, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run cristobalascencio/florentino 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": "cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222", "input": { "model": "dev", "prompt": "Make an image of a of a central microchip with various digital icons and devices connected by circuit lines, all set against a futuristic GREEN background in the style of CDMX", "lora_scale": 1.21, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "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": "2024-09-09T15:09:33.763471Z", "created_at": "2024-09-09T15:09:10.920000Z", "data_removed": false, "error": null, "id": "pzg7f775h1rm00chtxaa5ws1zc", "input": { "model": "dev", "prompt": "Make an image of a of a central microchip with various digital icons and devices connected by circuit lines, all set against a futuristic GREEN background in the style of CDMX", "lora_scale": 1.21, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 32787\nPrompt: Make an image of a of a central microchip with various digital icons and devices connected by circuit lines, all set against a futuristic GREEN background in the style of CDMX\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 7.15s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:13, 1.98it/s]\n 7%|▋ | 2/28 [00:00<00:11, 2.20it/s]\n 11%|█ | 3/28 [00:01<00:11, 2.11it/s]\n 14%|█▍ | 4/28 [00:01<00:11, 2.07it/s]\n 18%|█▊ | 5/28 [00:02<00:11, 2.04it/s]\n 21%|██▏ | 6/28 [00:02<00:10, 2.03it/s]\n 25%|██▌ | 7/28 [00:03<00:10, 2.02it/s]\n 29%|██▊ | 8/28 [00:03<00:09, 2.02it/s]\n 32%|███▏ | 9/28 [00:04<00:09, 2.01it/s]\n 36%|███▌ | 10/28 [00:04<00:08, 2.01it/s]\n 39%|███▉ | 11/28 [00:05<00:08, 2.01it/s]\n 43%|████▎ | 12/28 [00:05<00:07, 2.01it/s]\n 46%|████▋ | 13/28 [00:06<00:07, 2.01it/s]\n 50%|█████ | 14/28 [00:06<00:06, 2.00it/s]\n 54%|█████▎ | 15/28 [00:07<00:06, 2.00it/s]\n 57%|█████▋ | 16/28 [00:07<00:05, 2.00it/s]\n 61%|██████ | 17/28 [00:08<00:05, 2.00it/s]\n 64%|██████▍ | 18/28 [00:08<00:04, 2.00it/s]\n 68%|██████▊ | 19/28 [00:09<00:04, 2.00it/s]\n 71%|███████▏ | 20/28 [00:09<00:04, 2.00it/s]\n 75%|███████▌ | 21/28 [00:10<00:03, 2.00it/s]\n 79%|███████▊ | 22/28 [00:10<00:03, 2.00it/s]\n 82%|████████▏ | 23/28 [00:11<00:02, 2.00it/s]\n 86%|████████▌ | 24/28 [00:11<00:02, 2.00it/s]\n 89%|████████▉ | 25/28 [00:12<00:01, 2.00it/s]\n 93%|█████████▎| 26/28 [00:12<00:01, 1.99it/s]\n 96%|█████████▋| 27/28 [00:13<00:00, 2.00it/s]\n100%|██████████| 28/28 [00:13<00:00, 2.00it/s]\n100%|██████████| 28/28 [00:13<00:00, 2.01it/s]", "metrics": { "predict_time": 22.835020279, "total_time": 22.843471 }, "output": [ "https://replicate.delivery/yhqm/P4UGXzIDkFrUBpgFZnbLcR5NgHB6g1p5ko6TsKwn7pRrBz2E/out-0.png", "https://replicate.delivery/yhqm/2eUlNz87zDUrWSJSsLnDERFageJKcfpWD3SfBwweIixo1gZbC/out-1.png" ], "started_at": "2024-09-09T15:09:10.928451Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pzg7f775h1rm00chtxaa5ws1zc", "cancel": "https://api.replicate.com/v1/predictions/pzg7f775h1rm00chtxaa5ws1zc/cancel" }, "version": "918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222" }Generated inUsing seed: 32787 Prompt: Make an image of a of a central microchip with various digital icons and devices connected by circuit lines, all set against a futuristic GREEN background in the style of CDMX [!] txt2img mode Using dev model Loaded LoRAs in 7.15s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:13, 1.98it/s] 7%|▋ | 2/28 [00:00<00:11, 2.20it/s] 11%|█ | 3/28 [00:01<00:11, 2.11it/s] 14%|█▍ | 4/28 [00:01<00:11, 2.07it/s] 18%|█▊ | 5/28 [00:02<00:11, 2.04it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.03it/s] 25%|██▌ | 7/28 [00:03<00:10, 2.02it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.02it/s] 32%|███▏ | 9/28 [00:04<00:09, 2.01it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.01it/s] 39%|███▉ | 11/28 [00:05<00:08, 2.01it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.01it/s] 46%|████▋ | 13/28 [00:06<00:07, 2.01it/s] 50%|█████ | 14/28 [00:06<00:06, 2.00it/s] 54%|█████▎ | 15/28 [00:07<00:06, 2.00it/s] 57%|█████▋ | 16/28 [00:07<00:05, 2.00it/s] 61%|██████ | 17/28 [00:08<00:05, 2.00it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.00it/s] 68%|██████▊ | 19/28 [00:09<00:04, 2.00it/s] 71%|███████▏ | 20/28 [00:09<00:04, 2.00it/s] 75%|███████▌ | 21/28 [00:10<00:03, 2.00it/s] 79%|███████▊ | 22/28 [00:10<00:03, 2.00it/s] 82%|████████▏ | 23/28 [00:11<00:02, 2.00it/s] 86%|████████▌ | 24/28 [00:11<00:02, 2.00it/s] 89%|████████▉ | 25/28 [00:12<00:01, 2.00it/s] 93%|█████████▎| 26/28 [00:12<00:01, 1.99it/s] 96%|█████████▋| 27/28 [00:13<00:00, 2.00it/s] 100%|██████████| 28/28 [00:13<00:00, 2.00it/s] 100%|██████████| 28/28 [00:13<00:00, 2.01it/s]Prediction
cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222IDw3rmdekntsrm00chtxga6ybw4gStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Make an image of a human silhouette facing a robotic silhouette, both in profile. The human side is simple and clean, while the robotic side features gears and mechanical elements, symbolizing the integration of technology and humanity. in the style of CDMX
- lora_scale
- 1.21
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Make an image of a human silhouette facing a robotic silhouette, both in profile. The human side is simple and clean, while the robotic side features gears and mechanical elements, symbolizing the integration of technology and humanity. in the style of CDMX", "lora_scale": 1.21, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "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 cristobalascencio/florentino using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222", { input: { model: "dev", prompt: "Make an image of a human silhouette facing a robotic silhouette, both in profile. The human side is simple and clean, while the robotic side features gears and mechanical elements, symbolizing the integration of technology and humanity. in the style of CDMX", lora_scale: 1.21, num_outputs: 4, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 0.8, 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 cristobalascencio/florentino using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222", input={ "model": "dev", "prompt": "Make an image of a human silhouette facing a robotic silhouette, both in profile. The human side is simple and clean, while the robotic side features gears and mechanical elements, symbolizing the integration of technology and humanity. in the style of CDMX", "lora_scale": 1.21, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run cristobalascencio/florentino 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": "cristobalascencio/florentino:918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222", "input": { "model": "dev", "prompt": "Make an image of a human silhouette facing a robotic silhouette, both in profile. The human side is simple and clean, while the robotic side features gears and mechanical elements, symbolizing the integration of technology and humanity. in the style of CDMX", "lora_scale": 1.21, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "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": "2024-09-09T15:22:55.321393Z", "created_at": "2024-09-09T15:21:48.758000Z", "data_removed": false, "error": null, "id": "w3rmdekntsrm00chtxga6ybw4g", "input": { "model": "dev", "prompt": "Make an image of a human silhouette facing a robotic silhouette, both in profile. The human side is simple and clean, while the robotic side features gears and mechanical elements, symbolizing the integration of technology and humanity. in the style of CDMX", "lora_scale": 1.21, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 50724\nPrompt: Make an image of a human silhouette facing a robotic silhouette, both in profile. The human side is simple and clean, while the robotic side features gears and mechanical elements, symbolizing the integration of technology and humanity. in the style of CDMX\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 7.38s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:26, 1.00it/s]\n 7%|▋ | 2/28 [00:01<00:23, 1.12it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.07it/s]\n 14%|█▍ | 4/28 [00:03<00:22, 1.04it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.02it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.02it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s]\n 36%|███▌ | 10/28 [00:09<00:17, 1.01it/s]\n 39%|███▉ | 11/28 [00:10<00:16, 1.01it/s]\n 43%|████▎ | 12/28 [00:11<00:15, 1.01it/s]\n 46%|████▋ | 13/28 [00:12<00:14, 1.01it/s]\n 50%|█████ | 14/28 [00:13<00:13, 1.01it/s]\n 54%|█████▎ | 15/28 [00:14<00:12, 1.01it/s]\n 57%|█████▋ | 16/28 [00:15<00:11, 1.01it/s]\n 61%|██████ | 17/28 [00:16<00:10, 1.01it/s]\n 64%|██████▍ | 18/28 [00:17<00:09, 1.01it/s]\n 68%|██████▊ | 19/28 [00:18<00:08, 1.01it/s]\n 71%|███████▏ | 20/28 [00:19<00:07, 1.01it/s]\n 75%|███████▌ | 21/28 [00:20<00:06, 1.01it/s]\n 79%|███████▊ | 22/28 [00:21<00:05, 1.01it/s]\n 82%|████████▏ | 23/28 [00:22<00:04, 1.01it/s]\n 86%|████████▌ | 24/28 [00:23<00:03, 1.01it/s]\n 89%|████████▉ | 25/28 [00:24<00:02, 1.01it/s]\n 93%|█████████▎| 26/28 [00:25<00:01, 1.01it/s]\n 96%|█████████▋| 27/28 [00:26<00:00, 1.01it/s]\n100%|██████████| 28/28 [00:27<00:00, 1.01it/s]\n100%|██████████| 28/28 [00:27<00:00, 1.01it/s]", "metrics": { "predict_time": 38.132212734, "total_time": 66.563393 }, "output": [ "https://replicate.delivery/yhqm/QzeIdAOCGMSegEF5XGzihShki6PMJJ4DCuCWhp2IxPQOTMbTA/out-0.png", "https://replicate.delivery/yhqm/nsIWkKAbWMKcK1gpSC5kURbcGewrnKuDDE6E7te7c2FOTMbTA/out-1.png", "https://replicate.delivery/yhqm/2elzOUQhSZxedEXiH4fABjAkH3yxU038LW8fsPhdEogfZiZbC/out-2.png", "https://replicate.delivery/yhqm/BVydWBBuCK6HH1aCnuAveSk0gL0Kozd9nrHsQSxpp8nnJmtJA/out-3.png" ], "started_at": "2024-09-09T15:22:17.189180Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/w3rmdekntsrm00chtxga6ybw4g", "cancel": "https://api.replicate.com/v1/predictions/w3rmdekntsrm00chtxga6ybw4g/cancel" }, "version": "918819864d2468f265e0a0d9623aba53db964d7c1c64cbe97012a8d5cb64a222" }Generated inUsing seed: 50724 Prompt: Make an image of a human silhouette facing a robotic silhouette, both in profile. The human side is simple and clean, while the robotic side features gears and mechanical elements, symbolizing the integration of technology and humanity. in the style of CDMX [!] txt2img mode Using dev model Loaded LoRAs in 7.38s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:26, 1.00it/s] 7%|▋ | 2/28 [00:01<00:23, 1.12it/s] 11%|█ | 3/28 [00:02<00:23, 1.07it/s] 14%|█▍ | 4/28 [00:03<00:22, 1.04it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.03it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.02it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.02it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.02it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.01it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.01it/s] 39%|███▉ | 11/28 [00:10<00:16, 1.01it/s] 43%|████▎ | 12/28 [00:11<00:15, 1.01it/s] 46%|████▋ | 13/28 [00:12<00:14, 1.01it/s] 50%|█████ | 14/28 [00:13<00:13, 1.01it/s] 54%|█████▎ | 15/28 [00:14<00:12, 1.01it/s] 57%|█████▋ | 16/28 [00:15<00:11, 1.01it/s] 61%|██████ | 17/28 [00:16<00:10, 1.01it/s] 64%|██████▍ | 18/28 [00:17<00:09, 1.01it/s] 68%|██████▊ | 19/28 [00:18<00:08, 1.01it/s] 71%|███████▏ | 20/28 [00:19<00:07, 1.01it/s] 75%|███████▌ | 21/28 [00:20<00:06, 1.01it/s] 79%|███████▊ | 22/28 [00:21<00:05, 1.01it/s] 82%|████████▏ | 23/28 [00:22<00:04, 1.01it/s] 86%|████████▌ | 24/28 [00:23<00:03, 1.01it/s] 89%|████████▉ | 25/28 [00:24<00:02, 1.01it/s] 93%|█████████▎| 26/28 [00:25<00:01, 1.01it/s] 96%|█████████▋| 27/28 [00:26<00:00, 1.01it/s] 100%|██████████| 28/28 [00:27<00:00, 1.01it/s] 100%|██████████| 28/28 [00:27<00:00, 1.01it/s]
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