renovattio22 / bugatti-tourbillon
A Flux lora trained on the new Bugatti Tourbillon images, use the trigger word "BTK" (Updated 8 months, 4 weeks ago)
- Public
- 25 runs
-
H100
Prediction
renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692IDvamdc3pm3srm20chzre9spp3q8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of BTK" sleek, modern sports car parked on a mountain road at sunset, with the sun casting a warm glow on the car's metallic paint, highlighting its aerodynamic curves and details
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A photo of BTK\" sleek, modern sports car parked on a mountain road at sunset, with the sun casting a warm glow on the car's metallic paint, highlighting its aerodynamic curves and details", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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 renovattio22/bugatti-tourbillon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", { input: { model: "dev", prompt: "A photo of BTK\" sleek, modern sports car parked on a mountain road at sunset, with the sun casting a warm glow on the car's metallic paint, highlighting its aerodynamic curves and details", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", 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 renovattio22/bugatti-tourbillon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", input={ "model": "dev", "prompt": "A photo of BTK\" sleek, modern sports car parked on a mountain road at sunset, with the sun casting a warm glow on the car's metallic paint, highlighting its aerodynamic curves and details", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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 renovattio22/bugatti-tourbillon 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": "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", "input": { "model": "dev", "prompt": "A photo of BTK\\" sleek, modern sports car parked on a mountain road at sunset, with the sun casting a warm glow on the car\'s metallic paint, highlighting its aerodynamic curves and details", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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": "2024-09-17T03:53:29.338276Z", "created_at": "2024-09-17T03:53:07.870000Z", "data_removed": false, "error": null, "id": "vamdc3pm3srm20chzre9spp3q8", "input": { "model": "dev", "prompt": "A photo of BTK\" sleek, modern sports car parked on a mountain road at sunset, with the sun casting a warm glow on the car's metallic paint, highlighting its aerodynamic curves and details", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 28184\nPrompt: A photo of BTK\" sleek, modern sports car parked on a mountain road at sunset, with the sun casting a warm glow on the car's metallic paint, highlighting its aerodynamic curves and details\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 8.40s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.53it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.99it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.77it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.62it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.59it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.57it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.55it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.54it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.54it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.53it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.53it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.53it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.53it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.53it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.53it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.53it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.53it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.53it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.53it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.53it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.53it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.53it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.53it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.53it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.53it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.53it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.55it/s]", "metrics": { "predict_time": 16.603216442, "total_time": 21.468276 }, "output": [ "https://replicate.delivery/yhqm/HXHM74CSnu7FFxywlM79EdUFIhtKXIMYMDw1xlVffBA58qdTA/out-0.webp" ], "started_at": "2024-09-17T03:53:12.735060Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/vamdc3pm3srm20chzre9spp3q8", "cancel": "https://api.replicate.com/v1/predictions/vamdc3pm3srm20chzre9spp3q8/cancel" }, "version": "ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692" }Generated inUsing seed: 28184 Prompt: A photo of BTK" sleek, modern sports car parked on a mountain road at sunset, with the sun casting a warm glow on the car's metallic paint, highlighting its aerodynamic curves and details [!] txt2img mode Using dev model Loaded LoRAs in 8.40s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.53it/s] 7%|▋ | 2/28 [00:00<00:06, 3.99it/s] 11%|█ | 3/28 [00:00<00:06, 3.77it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.62it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.59it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.57it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.55it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.54it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.54it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.53it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.53it/s] 50%|█████ | 14/28 [00:03<00:03, 3.53it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.53it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.53it/s] 61%|██████ | 17/28 [00:04<00:03, 3.53it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.53it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.53it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.53it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.53it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.53it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.53it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.53it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.53it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.53it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.53it/s] 100%|██████████| 28/28 [00:07<00:00, 3.53it/s] 100%|██████████| 28/28 [00:07<00:00, 3.55it/s]Prediction
renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692IDwwjkzvsnt9rm20chzrfb9a4j5cStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- "A photo of BTK" driving through a bustling city street, with neon signs reflecting off its polished chrome.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "\"A photo of BTK\" driving through a bustling city street, with neon signs reflecting off its polished chrome.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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 renovattio22/bugatti-tourbillon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", { input: { model: "dev", prompt: "\"A photo of BTK\" driving through a bustling city street, with neon signs reflecting off its polished chrome.", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", 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 renovattio22/bugatti-tourbillon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", input={ "model": "dev", "prompt": "\"A photo of BTK\" driving through a bustling city street, with neon signs reflecting off its polished chrome.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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 renovattio22/bugatti-tourbillon 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": "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", "input": { "model": "dev", "prompt": "\\"A photo of BTK\\" driving through a bustling city street, with neon signs reflecting off its polished chrome.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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": "2024-09-17T03:54:56.892845Z", "created_at": "2024-09-17T03:54:38.418000Z", "data_removed": false, "error": null, "id": "wwjkzvsnt9rm20chzrfb9a4j5c", "input": { "model": "dev", "prompt": "\"A photo of BTK\" driving through a bustling city street, with neon signs reflecting off its polished chrome.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 64819\nPrompt: \"A photo of BTK\" driving through a bustling city street, with neon signs reflecting off its polished chrome.\n[!] txt2img mode\nUsing dev model\nfree=7379336675328\nDownloading weights\n2024-09-17T03:54:38Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpvb_b80oi/weights url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar\n2024-09-17T03:54:41Z | INFO | [ Complete ] dest=/tmp/tmpvb_b80oi/weights size=\"172 MB\" total_elapsed=2.561s url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar\nDownloaded weights in 2.59s\nLoaded LoRAs in 10.24s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.53it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.00it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.77it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.62it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.59it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.57it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.55it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.54it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.54it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.53it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.53it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.53it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.53it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.53it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.53it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.53it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.53it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.53it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.53it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.53it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.53it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.53it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.53it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.53it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.53it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.53it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.55it/s]", "metrics": { "predict_time": 18.467401317, "total_time": 18.474845 }, "output": [ "https://replicate.delivery/yhqm/laLeUYysr42cKCBEeHGh2tqeKqXBUpoettAhrI8rHsfFyXtbC/out-0.webp" ], "started_at": "2024-09-17T03:54:38.425444Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wwjkzvsnt9rm20chzrfb9a4j5c", "cancel": "https://api.replicate.com/v1/predictions/wwjkzvsnt9rm20chzrfb9a4j5c/cancel" }, "version": "ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692" }Generated inUsing seed: 64819 Prompt: "A photo of BTK" driving through a bustling city street, with neon signs reflecting off its polished chrome. [!] txt2img mode Using dev model free=7379336675328 Downloading weights 2024-09-17T03:54:38Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpvb_b80oi/weights url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar 2024-09-17T03:54:41Z | INFO | [ Complete ] dest=/tmp/tmpvb_b80oi/weights size="172 MB" total_elapsed=2.561s url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar Downloaded weights in 2.59s Loaded LoRAs in 10.24s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.53it/s] 7%|▋ | 2/28 [00:00<00:06, 4.00it/s] 11%|█ | 3/28 [00:00<00:06, 3.77it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.62it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.59it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.57it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.55it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.54it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.54it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.53it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.53it/s] 50%|█████ | 14/28 [00:03<00:03, 3.53it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.53it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.53it/s] 61%|██████ | 17/28 [00:04<00:03, 3.53it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.53it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.53it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.53it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.53it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.53it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.53it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.53it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.53it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.53it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.53it/s] 100%|██████████| 28/28 [00:07<00:00, 3.53it/s] 100%|██████████| 28/28 [00:07<00:00, 3.55it/s]Prediction
renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692IDd4b08xpwrxrm20chzrg8rfdzj8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- "A photo of BTK" speeding down a coastal road, highlighting its sleek aerodynamic profile and the fusion of traditional and modern design elements, with the ocean waves crashing nearby.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "\"A photo of BTK\" speeding down a coastal road, highlighting its sleek aerodynamic profile and the fusion of traditional and modern design elements, with the ocean waves crashing nearby.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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 renovattio22/bugatti-tourbillon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", { input: { model: "dev", prompt: "\"A photo of BTK\" speeding down a coastal road, highlighting its sleek aerodynamic profile and the fusion of traditional and modern design elements, with the ocean waves crashing nearby.", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", 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 renovattio22/bugatti-tourbillon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", input={ "model": "dev", "prompt": "\"A photo of BTK\" speeding down a coastal road, highlighting its sleek aerodynamic profile and the fusion of traditional and modern design elements, with the ocean waves crashing nearby.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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 renovattio22/bugatti-tourbillon 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": "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", "input": { "model": "dev", "prompt": "\\"A photo of BTK\\" speeding down a coastal road, highlighting its sleek aerodynamic profile and the fusion of traditional and modern design elements, with the ocean waves crashing nearby.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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": "2024-09-17T03:58:14.057118Z", "created_at": "2024-09-17T03:57:32.231000Z", "data_removed": false, "error": null, "id": "d4b08xpwrxrm20chzrg8rfdzj8", "input": { "model": "dev", "prompt": "\"A photo of BTK\" speeding down a coastal road, highlighting its sleek aerodynamic profile and the fusion of traditional and modern design elements, with the ocean waves crashing nearby.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 5270\nPrompt: \"A photo of BTK\" speeding down a coastal road, highlighting its sleek aerodynamic profile and the fusion of traditional and modern design elements, with the ocean waves crashing nearby.\n[!] txt2img mode\nUsing dev model\nfree=7129807282176\nDownloading weights\n2024-09-17T03:57:54Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp5jfhkax_/weights url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar\n2024-09-17T03:57:57Z | INFO | [ Complete ] dest=/tmp/tmp5jfhkax_/weights size=\"172 MB\" total_elapsed=2.160s url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar\nDownloaded weights in 2.20s\nLoaded LoRAs in 11.04s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.51it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.98it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.76it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.66it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.61it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.58it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.56it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.55it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.54it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.53it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.53it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.53it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.52it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.52it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.52it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.52it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.52it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.52it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.52it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.52it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.52it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.52it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.52it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.52it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.52it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.52it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.52it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.51it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.54it/s]", "metrics": { "predict_time": 19.27815184, "total_time": 41.826118 }, "output": [ "https://replicate.delivery/yhqm/8WSku1zHgrJEGBcuZa9G9xMQd7z0w9mgfaePd4VYdYPWBrdTA/out-0.webp" ], "started_at": "2024-09-17T03:57:54.778967Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/d4b08xpwrxrm20chzrg8rfdzj8", "cancel": "https://api.replicate.com/v1/predictions/d4b08xpwrxrm20chzrg8rfdzj8/cancel" }, "version": "ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692" }Generated inUsing seed: 5270 Prompt: "A photo of BTK" speeding down a coastal road, highlighting its sleek aerodynamic profile and the fusion of traditional and modern design elements, with the ocean waves crashing nearby. [!] txt2img mode Using dev model free=7129807282176 Downloading weights 2024-09-17T03:57:54Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp5jfhkax_/weights url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar 2024-09-17T03:57:57Z | INFO | [ Complete ] dest=/tmp/tmp5jfhkax_/weights size="172 MB" total_elapsed=2.160s url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar Downloaded weights in 2.20s Loaded LoRAs in 11.04s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.51it/s] 7%|▋ | 2/28 [00:00<00:06, 3.98it/s] 11%|█ | 3/28 [00:00<00:06, 3.76it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.66it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.61it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.58it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.56it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.55it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.54it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.53it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.53it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.53it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.52it/s] 50%|█████ | 14/28 [00:03<00:03, 3.52it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.52it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.52it/s] 61%|██████ | 17/28 [00:04<00:03, 3.52it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.52it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.52it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.52it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.52it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.52it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.52it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.52it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.52it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.52it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.52it/s] 100%|██████████| 28/28 [00:07<00:00, 3.51it/s] 100%|██████████| 28/28 [00:07<00:00, 3.54it/s]Prediction
renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692IDxvym23g6v5rm60chzrh8gnkza8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- "A photo of BTK" cruising through a futuristic city at night, the car's headlights illuminating its path, with reflections of neon lights dancing on its polished surface, emphasizing both speed and luxury.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "\"A photo of BTK\" cruising through a futuristic city at night, the car's headlights illuminating its path, with reflections of neon lights dancing on its polished surface, emphasizing both speed and luxury.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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 renovattio22/bugatti-tourbillon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", { input: { model: "dev", prompt: "\"A photo of BTK\" cruising through a futuristic city at night, the car's headlights illuminating its path, with reflections of neon lights dancing on its polished surface, emphasizing both speed and luxury.", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", 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 renovattio22/bugatti-tourbillon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", input={ "model": "dev", "prompt": "\"A photo of BTK\" cruising through a futuristic city at night, the car's headlights illuminating its path, with reflections of neon lights dancing on its polished surface, emphasizing both speed and luxury.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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 renovattio22/bugatti-tourbillon 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": "renovattio22/bugatti-tourbillon:ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692", "input": { "model": "dev", "prompt": "\\"A photo of BTK\\" cruising through a futuristic city at night, the car\'s headlights illuminating its path, with reflections of neon lights dancing on its polished surface, emphasizing both speed and luxury.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "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": "2024-09-17T03:59:33.272780Z", "created_at": "2024-09-17T03:58:48.537000Z", "data_removed": false, "error": null, "id": "xvym23g6v5rm60chzrh8gnkza8", "input": { "model": "dev", "prompt": "\"A photo of BTK\" cruising through a futuristic city at night, the car's headlights illuminating its path, with reflections of neon lights dancing on its polished surface, emphasizing both speed and luxury.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 65211\nPrompt: \"A photo of BTK\" cruising through a futuristic city at night, the car's headlights illuminating its path, with reflections of neon lights dancing on its polished surface, emphasizing both speed and luxury.\n[!] txt2img mode\nUsing dev model\nfree=7195554164736\nDownloading weights\n2024-09-17T03:59:14Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7dn4f66u/weights url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar\n2024-09-17T03:59:17Z | INFO | [ Complete ] dest=/tmp/tmp7dn4f66u/weights size=\"172 MB\" total_elapsed=2.335s url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar\nDownloaded weights in 2.36s\nLoaded LoRAs in 10.29s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.50it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.97it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.74it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.64it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.59it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.54it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.53it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.51it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.51it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.51it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.50it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.51it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.51it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.51it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.50it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.50it/s]\n 75%|███████▌ | 21/28 [00:05<00:02, 3.50it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.50it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.50it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.50it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.50it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.50it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.53it/s]", "metrics": { "predict_time": 18.560147821, "total_time": 44.73578 }, "output": [ "https://replicate.delivery/yhqm/OL1gcyyfK3XSE6Yk5Zq0Vune4E3M1QFo8HxbNbfFMhaKFW7mA/out-0.webp" ], "started_at": "2024-09-17T03:59:14.712632Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xvym23g6v5rm60chzrh8gnkza8", "cancel": "https://api.replicate.com/v1/predictions/xvym23g6v5rm60chzrh8gnkza8/cancel" }, "version": "ebeb5c644d4a13f1fcb7b26d2f27138711188f51837edc28b1e1606d6314e692" }Generated inUsing seed: 65211 Prompt: "A photo of BTK" cruising through a futuristic city at night, the car's headlights illuminating its path, with reflections of neon lights dancing on its polished surface, emphasizing both speed and luxury. [!] txt2img mode Using dev model free=7195554164736 Downloading weights 2024-09-17T03:59:14Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7dn4f66u/weights url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar 2024-09-17T03:59:17Z | INFO | [ Complete ] dest=/tmp/tmp7dn4f66u/weights size="172 MB" total_elapsed=2.335s url=https://replicate.delivery/yhqm/j6l8B2jdBfyvLyJx7q6tqCnwRM0vQdU9SNaTOG0R4vPQS1uJA/trained_model.tar Downloaded weights in 2.36s Loaded LoRAs in 10.29s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.50it/s] 7%|▋ | 2/28 [00:00<00:06, 3.97it/s] 11%|█ | 3/28 [00:00<00:06, 3.74it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.64it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.59it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.54it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.53it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.51it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.51it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.51it/s] 50%|█████ | 14/28 [00:03<00:03, 3.50it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.51it/s] 61%|██████ | 17/28 [00:04<00:03, 3.51it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.51it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.50it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.50it/s] 75%|███████▌ | 21/28 [00:05<00:02, 3.50it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.50it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.50it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.50it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.50it/s] 100%|██████████| 28/28 [00:07<00:00, 3.50it/s] 100%|██████████| 28/28 [00:07<00:00, 3.53it/s]
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