kreezymind / ai-glasses-rayban
- Public
- 44 runs
-
H100
Prediction
kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2IDfwv7rg3651rm60chzc9sgsx18mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- aiglasses in front of a white background, product photoshoot, high quality
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 4:5
- 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": "aiglasses in front of a white background, product photoshoot,\nhigh quality", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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 kreezymind/ai-glasses-rayban using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2", { input: { model: "dev", prompt: "aiglasses in front of a white background, product photoshoot,\nhigh quality", lora_scale: 1, num_outputs: 1, aspect_ratio: "4:5", 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 kreezymind/ai-glasses-rayban using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2", input={ "model": "dev", "prompt": "aiglasses in front of a white background, product photoshoot,\nhigh quality", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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 kreezymind/ai-glasses-rayban 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": "kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2", "input": { "model": "dev", "prompt": "aiglasses in front of a white background, product photoshoot,\\nhigh quality", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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": "2024-09-16T13:44:44.932842Z", "created_at": "2024-09-16T13:43:58.248000Z", "data_removed": false, "error": null, "id": "fwv7rg3651rm60chzc9sgsx18m", "input": { "model": "dev", "prompt": "aiglasses in front of a white background, product photoshoot,\nhigh quality", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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: 23932\nPrompt: aiglasses in front of a white background, product photoshoot,\nhigh quality\n[!] txt2img mode\nUsing dev model\nfree=7915096854528\nDownloading weights\n2024-09-16T13:44:09Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpplm0g3oy/weights url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar\n2024-09-16T13:44:13Z | INFO | [ Complete ] dest=/tmp/tmpplm0g3oy/weights size=\"172 MB\" total_elapsed=3.307s url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar\nDownloaded weights in 3.34s\nLoaded LoRAs in 27.14s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.71it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.20it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.97it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.87it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.78it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.76it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.75it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.73it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.72it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.72it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.72it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.72it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.71it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.71it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.72it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.71it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.71it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.71it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.71it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.71it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.72it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.72it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.74it/s]", "metrics": { "predict_time": 35.158991557, "total_time": 46.684842 }, "output": [ "https://replicate.delivery/yhqm/1WCnD7nqrHq8LFCnXZ2ffCjA6Uq7DGW77cUmc2VMEMQMhe6mA/out-0.png" ], "started_at": "2024-09-16T13:44:09.773850Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fwv7rg3651rm60chzc9sgsx18m", "cancel": "https://api.replicate.com/v1/predictions/fwv7rg3651rm60chzc9sgsx18m/cancel" }, "version": "58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2" }Generated inUsing seed: 23932 Prompt: aiglasses in front of a white background, product photoshoot, high quality [!] txt2img mode Using dev model free=7915096854528 Downloading weights 2024-09-16T13:44:09Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpplm0g3oy/weights url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar 2024-09-16T13:44:13Z | INFO | [ Complete ] dest=/tmp/tmpplm0g3oy/weights size="172 MB" total_elapsed=3.307s url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar Downloaded weights in 3.34s Loaded LoRAs in 27.14s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.71it/s] 7%|▋ | 2/28 [00:00<00:06, 4.20it/s] 11%|█ | 3/28 [00:00<00:06, 3.97it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.87it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.78it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.76it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.75it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.73it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.72it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.72it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.72it/s] 50%|█████ | 14/28 [00:03<00:03, 3.72it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.71it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.71it/s] 61%|██████ | 17/28 [00:04<00:02, 3.72it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.71it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.71it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.71it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.71it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.71it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.72it/s] 100%|██████████| 28/28 [00:07<00:00, 3.72it/s] 100%|██████████| 28/28 [00:07<00:00, 3.74it/s]Prediction
kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2IDzg5xcrxmr9rm40chzcb9ag1fxrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- aiglasses on a table display for an e-commerce site
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 4:5
- 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": "aiglasses on a table display for an e-commerce site", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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 kreezymind/ai-glasses-rayban using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2", { input: { model: "dev", prompt: "aiglasses on a table display for an e-commerce site", lora_scale: 1, num_outputs: 1, aspect_ratio: "4:5", 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 kreezymind/ai-glasses-rayban using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2", input={ "model": "dev", "prompt": "aiglasses on a table display for an e-commerce site", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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 kreezymind/ai-glasses-rayban 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": "kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2", "input": { "model": "dev", "prompt": "aiglasses on a table display for an e-commerce site", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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": "2024-09-16T13:49:13.171162Z", "created_at": "2024-09-16T13:47:34.978000Z", "data_removed": false, "error": null, "id": "zg5xcrxmr9rm40chzcb9ag1fxr", "input": { "model": "dev", "prompt": "aiglasses on a table display for an e-commerce site", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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: 16137\nPrompt: aiglasses on a table display for an e-commerce site\n[!] txt2img mode\nUsing dev model\nfree=7972208234496\nDownloading weights\n2024-09-16T13:48:38Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpeb2n13vw/weights url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar\n2024-09-16T13:48:39Z | INFO | [ Complete ] dest=/tmp/tmpeb2n13vw/weights size=\"172 MB\" total_elapsed=1.324s url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar\nDownloaded weights in 1.36s\nLoaded LoRAs in 27.03s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.74it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.23it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.99it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.89it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.84it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.80it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.78it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.77it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.76it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.75it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.75it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.75it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.74it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.74it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.74it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.74it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.74it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.74it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.74it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.74it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.74it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.74it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.74it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.74it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.74it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.74it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.74it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]", "metrics": { "predict_time": 35.044346868, "total_time": 98.193162 }, "output": [ "https://replicate.delivery/yhqm/yJHAwyfPWx1lGiYLlYNNk0lsRHkRtLJZg2jJTbS5Ek2sSvuJA/out-0.png" ], "started_at": "2024-09-16T13:48:38.126815Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/zg5xcrxmr9rm40chzcb9ag1fxr", "cancel": "https://api.replicate.com/v1/predictions/zg5xcrxmr9rm40chzcb9ag1fxr/cancel" }, "version": "58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2" }Generated inUsing seed: 16137 Prompt: aiglasses on a table display for an e-commerce site [!] txt2img mode Using dev model free=7972208234496 Downloading weights 2024-09-16T13:48:38Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpeb2n13vw/weights url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar 2024-09-16T13:48:39Z | INFO | [ Complete ] dest=/tmp/tmpeb2n13vw/weights size="172 MB" total_elapsed=1.324s url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar Downloaded weights in 1.36s Loaded LoRAs in 27.03s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.74it/s] 7%|▋ | 2/28 [00:00<00:06, 4.23it/s] 11%|█ | 3/28 [00:00<00:06, 3.99it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.89it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.84it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.80it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.78it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.77it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.76it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.75it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.75it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.75it/s] 50%|█████ | 14/28 [00:03<00:03, 3.74it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.74it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.74it/s] 61%|██████ | 17/28 [00:04<00:02, 3.74it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.74it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.74it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.74it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.74it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.74it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.74it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.74it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.74it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.74it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.74it/s] 100%|██████████| 28/28 [00:07<00:00, 3.74it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s]Prediction
kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2IDhc0xtwnf6xrm60chzccr6hjjbcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- yellow aiglasses on a table display for an e-commerce site, make sure the rayban logo is visible
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 4:5
- 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": "yellow aiglasses on a table display for an e-commerce site, make sure the rayban logo is visible", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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 kreezymind/ai-glasses-rayban using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2", { input: { model: "dev", prompt: "yellow aiglasses on a table display for an e-commerce site, make sure the rayban logo is visible", lora_scale: 1, num_outputs: 1, aspect_ratio: "4:5", 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 kreezymind/ai-glasses-rayban using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2", input={ "model": "dev", "prompt": "yellow aiglasses on a table display for an e-commerce site, make sure the rayban logo is visible", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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 kreezymind/ai-glasses-rayban 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": "kreezymind/ai-glasses-rayban:58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2", "input": { "model": "dev", "prompt": "yellow aiglasses on a table display for an e-commerce site, make sure the rayban logo is visible", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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": "2024-09-16T13:51:16.559188Z", "created_at": "2024-09-16T13:50:50.167000Z", "data_removed": false, "error": null, "id": "hc0xtwnf6xrm60chzccr6hjjbc", "input": { "model": "dev", "prompt": "yellow aiglasses on a table display for an e-commerce site, make sure the rayban logo is visible", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "4:5", "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: 46655\nPrompt: yellow aiglasses on a table display for an e-commerce site, make sure the rayban logo is visible\n[!] txt2img mode\nUsing dev model\nfree=7221668655104\nDownloading weights\n2024-09-16T13:50:58Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmptq2uqx4y/weights url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar\n2024-09-16T13:50:59Z | INFO | [ Complete ] dest=/tmp/tmptq2uqx4y/weights size=\"172 MB\" total_elapsed=1.147s url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar\nDownloaded weights in 1.18s\nLoaded LoRAs in 9.81s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.72it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.20it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.97it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.87it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.82it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.76it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.75it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.73it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.73it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.73it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.73it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.72it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.72it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.72it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.72it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.72it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.72it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.72it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.72it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.72it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.75it/s]", "metrics": { "predict_time": 17.815039177, "total_time": 26.392188 }, "output": [ "https://replicate.delivery/yhqm/OfGXkKPMsuXdMKp4no7hTUfESAcnrfStW8YFx9nSOzeRd61NB/out-0.png" ], "started_at": "2024-09-16T13:50:58.744149Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hc0xtwnf6xrm60chzccr6hjjbc", "cancel": "https://api.replicate.com/v1/predictions/hc0xtwnf6xrm60chzccr6hjjbc/cancel" }, "version": "58316c741a0af4b099c8c7c68bc8ad2713694e72fe9497f55b5c5dd528c075f2" }Generated inUsing seed: 46655 Prompt: yellow aiglasses on a table display for an e-commerce site, make sure the rayban logo is visible [!] txt2img mode Using dev model free=7221668655104 Downloading weights 2024-09-16T13:50:58Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmptq2uqx4y/weights url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar 2024-09-16T13:50:59Z | INFO | [ Complete ] dest=/tmp/tmptq2uqx4y/weights size="172 MB" total_elapsed=1.147s url=https://replicate.delivery/yhqm/qkvw35QHpcrXI5DBfzVPi53tCLmq3NZcKyB1hldGKeMNMe6mA/trained_model.tar Downloaded weights in 1.18s Loaded LoRAs in 9.81s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.72it/s] 7%|▋ | 2/28 [00:00<00:06, 4.20it/s] 11%|█ | 3/28 [00:00<00:06, 3.97it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.87it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.82it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.76it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.75it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.73it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.73it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.73it/s] 50%|█████ | 14/28 [00:03<00:03, 3.73it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.72it/s] 61%|██████ | 17/28 [00:04<00:02, 3.72it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.72it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.72it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.72it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.72it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.72it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.72it/s] 100%|██████████| 28/28 [00:07<00:00, 3.72it/s] 100%|██████████| 28/28 [00:07<00:00, 3.75it/s]
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