justinwkukm
/
a_photo_of_wko
- Public
- 32 runs
-
H100
Prediction
justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1cIDhkp8n6b5x9rm20chn5h931mkp8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a_photo_of_wko as a handsome male model, formal, Malaysian Airlines pilot attire, blurred petronas twin towers background,
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a_photo_of_wko as a handsome male model, formal, Malaysian Airlines pilot attire, blurred petronas twin towers background, ", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "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"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run justinwkukm/a_photo_of_wko using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c", { input: { model: "dev", prompt: "a_photo_of_wko as a handsome male model, formal, Malaysian Airlines pilot attire, blurred petronas twin towers background, ", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 100, 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 justinwkukm/a_photo_of_wko using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c", input={ "model": "dev", "prompt": "a_photo_of_wko as a handsome male model, formal, Malaysian Airlines pilot attire, blurred petronas twin towers background, ", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "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 justinwkukm/a_photo_of_wko 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": "justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c", "input": { "model": "dev", "prompt": "a_photo_of_wko as a handsome male model, formal, Malaysian Airlines pilot attire, blurred petronas twin towers background, ", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "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": "2024-08-31T17:01:43.511687Z", "created_at": "2024-08-31T17:01:23.818000Z", "data_removed": false, "error": null, "id": "hkp8n6b5x9rm20chn5h931mkp8", "input": { "model": "dev", "prompt": "a_photo_of_wko as a handsome male model, formal, Malaysian Airlines pilot attire, blurred petronas twin towers background, ", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 1315\nPrompt: a_photo_of_wko as a handsome male model, formal, Malaysian Airlines pilot attire, blurred petronas twin towers background,\ntxt2img mode\nUsing dev model\nfree=9579216011264\nDownloading weights\n2024-08-31T17:01:23Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpypymmicg/weights url=https://replicate.delivery/yhqm/BLq4HADPziK7P9CrsNoHb3oZcHYtChbjhiyW61kfHB2a1HsJA/trained_model.tar\n2024-08-31T17:01:25Z | INFO | [ Complete ] dest=/tmp/tmpypymmicg/weights size=\"172 MB\" total_elapsed=2.080s url=https://replicate.delivery/yhqm/BLq4HADPziK7P9CrsNoHb3oZcHYtChbjhiyW61kfHB2a1HsJA/trained_model.tar\nDownloaded weights in 2.12s\nLoaded LoRAs in 11.32s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.67it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.23it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.96it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.78it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.74it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.72it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.70it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.69it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.68it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.68it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.67it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.67it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.67it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.67it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.70it/s]", "metrics": { "predict_time": 19.684058218, "total_time": 19.693687 }, "output": [ "https://replicate.delivery/yhqm/QMvEaxh5HnYHFBePt4gUF0mWQ6TFPps6PerBgOxvUTS35PYTA/out-0.png" ], "started_at": "2024-08-31T17:01:23.827629Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hkp8n6b5x9rm20chn5h931mkp8", "cancel": "https://api.replicate.com/v1/predictions/hkp8n6b5x9rm20chn5h931mkp8/cancel" }, "version": "ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c" }Generated inUsing seed: 1315 Prompt: a_photo_of_wko as a handsome male model, formal, Malaysian Airlines pilot attire, blurred petronas twin towers background, txt2img mode Using dev model free=9579216011264 Downloading weights 2024-08-31T17:01:23Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpypymmicg/weights url=https://replicate.delivery/yhqm/BLq4HADPziK7P9CrsNoHb3oZcHYtChbjhiyW61kfHB2a1HsJA/trained_model.tar 2024-08-31T17:01:25Z | INFO | [ Complete ] dest=/tmp/tmpypymmicg/weights size="172 MB" total_elapsed=2.080s url=https://replicate.delivery/yhqm/BLq4HADPziK7P9CrsNoHb3oZcHYtChbjhiyW61kfHB2a1HsJA/trained_model.tar Downloaded weights in 2.12s Loaded LoRAs in 11.32s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.67it/s] 7%|▋ | 2/28 [00:00<00:06, 4.23it/s] 11%|█ | 3/28 [00:00<00:06, 3.96it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.78it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.74it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.72it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.70it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.69it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.68it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s] 50%|█████ | 14/28 [00:03<00:03, 3.68it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s] 61%|██████ | 17/28 [00:04<00:02, 3.67it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.67it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.67it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.67it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.70it/s]Prediction
justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1cIDvvmtxtkpjxrm40chp7f8620ek8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a_photo_of_wko as a formal, Airlines pilot attire, blurred airport background
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a_photo_of_wko as a formal, Airlines pilot attire, blurred airport background", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "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"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run justinwkukm/a_photo_of_wko using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c", { input: { model: "dev", prompt: "a_photo_of_wko as a formal, Airlines pilot attire, blurred airport background", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 100, 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 justinwkukm/a_photo_of_wko using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c", input={ "model": "dev", "prompt": "a_photo_of_wko as a formal, Airlines pilot attire, blurred airport background", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "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 justinwkukm/a_photo_of_wko 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": "justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c", "input": { "model": "dev", "prompt": "a_photo_of_wko as a formal, Airlines pilot attire, blurred airport background", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "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": "2024-09-02T08:34:08.776785Z", "created_at": "2024-09-02T08:33:52.279000Z", "data_removed": false, "error": null, "id": "vvmtxtkpjxrm40chp7f8620ek8", "input": { "model": "dev", "prompt": "a_photo_of_wko as a formal, Airlines pilot attire, blurred airport background", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 33244\nPrompt: a_photo_of_wko as a formal, Airlines pilot attire, blurred airport background\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 8.14s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.69it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.25it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.98it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.76it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.72it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.71it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.71it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.70it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.70it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.69it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.69it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.69it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.69it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.69it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.69it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.69it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.69it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.72it/s]", "metrics": { "predict_time": 16.488360028, "total_time": 16.497785 }, "output": [ "https://replicate.delivery/yhqm/jehiRpPT6qTITqEUvIR8yB4qFBemTlzXp9vDATnveHmBUlxmA/out-0.png" ], "started_at": "2024-09-02T08:33:52.288425Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/vvmtxtkpjxrm40chp7f8620ek8", "cancel": "https://api.replicate.com/v1/predictions/vvmtxtkpjxrm40chp7f8620ek8/cancel" }, "version": "ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c" }Generated inUsing seed: 33244 Prompt: a_photo_of_wko as a formal, Airlines pilot attire, blurred airport background txt2img mode Using dev model Loaded LoRAs in 8.14s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.69it/s] 7%|▋ | 2/28 [00:00<00:06, 4.25it/s] 11%|█ | 3/28 [00:00<00:06, 3.98it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.76it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.72it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.71it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.71it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.70it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.70it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.69it/s] 50%|█████ | 14/28 [00:03<00:03, 3.69it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.69it/s] 61%|██████ | 17/28 [00:04<00:02, 3.69it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.69it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.69it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.69it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.69it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.72it/s]Prediction
justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1cIDvyz8t1at0xrm00chp7m8tsz770StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a_photo_of_wko handsome model, passport size photo for US visa, white backgorund
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a_photo_of_wko handsome model, passport size photo for US visa, white backgorund", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "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"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run justinwkukm/a_photo_of_wko using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c", { input: { model: "dev", prompt: "a_photo_of_wko handsome model, passport size photo for US visa, white backgorund", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 100, 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 justinwkukm/a_photo_of_wko using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c", input={ "model": "dev", "prompt": "a_photo_of_wko handsome model, passport size photo for US visa, white backgorund", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "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 justinwkukm/a_photo_of_wko 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": "justinwkukm/a_photo_of_wko:ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c", "input": { "model": "dev", "prompt": "a_photo_of_wko handsome model, passport size photo for US visa, white backgorund", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "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": "2024-09-02T08:44:59.664891Z", "created_at": "2024-09-02T08:44:40.327000Z", "data_removed": false, "error": null, "id": "vyz8t1at0xrm00chp7m8tsz770", "input": { "model": "dev", "prompt": "a_photo_of_wko handsome model, passport size photo for US visa, white backgorund", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 6260\nPrompt: a_photo_of_wko handsome model, passport size photo for US visa, white backgorund\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 11.00s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.69it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.25it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.98it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.76it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.72it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.71it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.70it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.69it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.69it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.69it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.69it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.69it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.69it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.69it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.69it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.72it/s]", "metrics": { "predict_time": 19.330196778, "total_time": 19.337891 }, "output": [ "https://replicate.delivery/yhqm/6obXecGfYou8JEeQ8f2UaeDB3ep8shR0zYd3VokapDP6CtM2E/out-0.png" ], "started_at": "2024-09-02T08:44:40.334695Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/vyz8t1at0xrm00chp7m8tsz770", "cancel": "https://api.replicate.com/v1/predictions/vyz8t1at0xrm00chp7m8tsz770/cancel" }, "version": "ff1b994800c38662322ada32552e957e861b0b6dbc40e963e45623f5716bdc1c" }Generated inUsing seed: 6260 Prompt: a_photo_of_wko handsome model, passport size photo for US visa, white backgorund txt2img mode Using dev model Loaded LoRAs in 11.00s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.69it/s] 7%|▋ | 2/28 [00:00<00:06, 4.25it/s] 11%|█ | 3/28 [00:00<00:06, 3.98it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.76it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.72it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.71it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.70it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.69it/s] 50%|█████ | 14/28 [00:03<00:03, 3.69it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.69it/s] 61%|██████ | 17/28 [00:04<00:02, 3.69it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.69it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.69it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.69it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.69it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.72it/s]
Want to make some of these yourself?
Run this model