jjcall / admm
- Public
- 15 runs
-
H100
Prediction
jjcall/admm:5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8ModelIDrgcrv21qg5rm80cq52r886akhwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A young woman laughing with her hands mid-gesture, standing in a sunlit urban alleyway. She wears a sleeveless black top and jeans. Shot in TOK style — Robert Frank-inspired black-and-white, strong contrast, unposed, expressive face clearly visible.
- go_fast
- lora_scale
- 1.28
- megapixels
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 2.53
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 32
{ "model": "dev", "prompt": "A young woman laughing with her hands mid-gesture, standing in a sunlit urban alleyway. She wears a sleeveless black top and jeans. Shot in TOK style — Robert Frank-inspired black-and-white, strong contrast, unposed, expressive face clearly visible.", "go_fast": false, "lora_scale": 1.28, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2.53, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 32 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 jjcall/admm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jjcall/admm:5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8", { input: { model: "dev", prompt: "A young woman laughing with her hands mid-gesture, standing in a sunlit urban alleyway. She wears a sleeveless black top and jeans. Shot in TOK style — Robert Frank-inspired black-and-white, strong contrast, unposed, expressive face clearly visible.", go_fast: false, lora_scale: 1.28, megapixels: "1", num_outputs: 2, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 2.53, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 32 } } ); // 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 replicate
Import the client:import replicate
Run jjcall/admm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jjcall/admm:5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8", input={ "model": "dev", "prompt": "A young woman laughing with her hands mid-gesture, standing in a sunlit urban alleyway. She wears a sleeveless black top and jeans. Shot in TOK style — Robert Frank-inspired black-and-white, strong contrast, unposed, expressive face clearly visible.", "go_fast": False, "lora_scale": 1.28, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2.53, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 32 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run jjcall/admm 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": "jjcall/admm:5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8", "input": { "model": "dev", "prompt": "A young woman laughing with her hands mid-gesture, standing in a sunlit urban alleyway. She wears a sleeveless black top and jeans. Shot in TOK style — Robert Frank-inspired black-and-white, strong contrast, unposed, expressive face clearly visible.", "go_fast": false, "lora_scale": 1.28, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2.53, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 32 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-31T23:32:24.056324Z", "created_at": "2025-05-31T23:32:06.657000Z", "data_removed": false, "error": null, "id": "rgcrv21qg5rm80cq52r886akhw", "input": { "model": "dev", "prompt": "A young woman laughing with her hands mid-gesture, standing in a sunlit urban alleyway. She wears a sleeveless black top and jeans. Shot in TOK style — Robert Frank-inspired black-and-white, strong contrast, unposed, expressive face clearly visible.", "go_fast": false, "lora_scale": 1.28, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2.53, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 32 }, "logs": "free=27879409262592\nDownloading weights\n2025-05-31T23:32:06Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpxx0zjr2v/weights url=https://replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar\n2025-05-31T23:32:06Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-31T23:32:06Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar url=https://replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar\n2025-05-31T23:32:06Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/d5f351c215bfbf7485453817c4dba790ec4862a9d90157357cbc97c40bf54110?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250531%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250531T233206Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=86a76c5e8fd4b42405d07f665696b44a533d60668ca1bcbbcce1f9ecc10a7b74 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar\n2025-05-31T23:32:07Z | INFO | [ Complete ] dest=/tmp/tmpxx0zjr2v/weights size=\"172 MB\" total_elapsed=0.268s url=https://replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar\nDownloaded weights in 0.33s\nLoaded LoRAs in 0.88s\nUsing seed: 43866\nPrompt: A young woman laughing with her hands mid-gesture, standing in a sunlit urban alleyway. She wears a sleeveless black top and jeans. Shot in TOK style — Robert Frank-inspired black-and-white, strong contrast, unposed, expressive face clearly visible.\n[!] txt2img mode\n 0%| | 0/32 [00:00<?, ?it/s]\n 3%|▎ | 1/32 [00:00<00:15, 1.97it/s]\n 6%|▋ | 2/32 [00:00<00:13, 2.20it/s]\n 9%|▉ | 3/32 [00:01<00:13, 2.10it/s]\n 12%|█▎ | 4/32 [00:01<00:13, 2.05it/s]\n 16%|█▌ | 5/32 [00:02<00:13, 2.03it/s]\n 19%|█▉ | 6/32 [00:02<00:12, 2.01it/s]\n 22%|██▏ | 7/32 [00:03<00:12, 2.00it/s]\n 25%|██▌ | 8/32 [00:03<00:12, 2.00it/s]\n 28%|██▊ | 9/32 [00:04<00:11, 1.99it/s]\n 31%|███▏ | 10/32 [00:04<00:11, 1.99it/s]\n 34%|███▍ | 11/32 [00:05<00:10, 1.99it/s]\n 38%|███▊ | 12/32 [00:05<00:10, 1.99it/s]\n 41%|████ | 13/32 [00:06<00:09, 1.99it/s]\n 44%|████▍ | 14/32 [00:06<00:09, 1.98it/s]\n 47%|████▋ | 15/32 [00:07<00:08, 1.98it/s]\n 50%|█████ | 16/32 [00:07<00:08, 1.99it/s]\n 53%|█████▎ | 17/32 [00:08<00:07, 1.99it/s]\n 56%|█████▋ | 18/32 [00:08<00:07, 1.99it/s]\n 59%|█████▉ | 19/32 [00:09<00:06, 1.99it/s]\n 62%|██████▎ | 20/32 [00:09<00:06, 1.99it/s]\n 66%|██████▌ | 21/32 [00:10<00:05, 1.99it/s]\n 69%|██████▉ | 22/32 [00:10<00:05, 1.99it/s]\n 72%|███████▏ | 23/32 [00:11<00:04, 1.99it/s]\n 75%|███████▌ | 24/32 [00:11<00:04, 1.99it/s]\n 78%|███████▊ | 25/32 [00:12<00:03, 1.99it/s]\n 81%|████████▏ | 26/32 [00:13<00:03, 1.99it/s]\n 84%|████████▍ | 27/32 [00:13<00:02, 1.99it/s]\n 88%|████████▊ | 28/32 [00:14<00:02, 1.99it/s]\n 91%|█████████ | 29/32 [00:14<00:01, 1.99it/s]\n 94%|█████████▍| 30/32 [00:15<00:01, 1.99it/s]\n 97%|█████████▋| 31/32 [00:15<00:00, 1.99it/s]\n100%|██████████| 32/32 [00:16<00:00, 1.99it/s]\n100%|██████████| 32/32 [00:16<00:00, 2.00it/s]\nTotal safe images: 2 out of 2", "metrics": { "predict_time": 17.310023052, "total_time": 17.399324 }, "output": [ "https://replicate.delivery/xezq/eqDhSQ110fpJMU9a5pfQFelygp8FJ1J2fL0rwE7xGC3ExhSmC/out-0.jpg", "https://replicate.delivery/xezq/pdCQoXV8T1LXEtnkqXPwt1eGTDHelvxkuRu2QfscHG5RcokpA/out-1.jpg" ], "started_at": "2025-05-31T23:32:06.746301Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-zyzzajthzxoaun3x7wai6vru6zqsoav4vcgkqyf4yeun7xodefba", "get": "https://api.replicate.com/v1/predictions/rgcrv21qg5rm80cq52r886akhw", "cancel": "https://api.replicate.com/v1/predictions/rgcrv21qg5rm80cq52r886akhw/cancel" }, "version": "5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8" }
Generated infree=27879409262592 Downloading weights 2025-05-31T23:32:06Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpxx0zjr2v/weights url=https://replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar 2025-05-31T23:32:06Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-31T23:32:06Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar url=https://replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar 2025-05-31T23:32:06Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/d5f351c215bfbf7485453817c4dba790ec4862a9d90157357cbc97c40bf54110?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250531%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250531T233206Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=86a76c5e8fd4b42405d07f665696b44a533d60668ca1bcbbcce1f9ecc10a7b74 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar 2025-05-31T23:32:07Z | INFO | [ Complete ] dest=/tmp/tmpxx0zjr2v/weights size="172 MB" total_elapsed=0.268s url=https://replicate.delivery/xezq/rfHEvxZvY1RCKyLFVwh8fgkBGwNM8Ak2jeeR7pTg5jyVKQJTB/flux-lora.tar Downloaded weights in 0.33s Loaded LoRAs in 0.88s Using seed: 43866 Prompt: A young woman laughing with her hands mid-gesture, standing in a sunlit urban alleyway. She wears a sleeveless black top and jeans. Shot in TOK style — Robert Frank-inspired black-and-white, strong contrast, unposed, expressive face clearly visible. [!] txt2img mode 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:15, 1.97it/s] 6%|▋ | 2/32 [00:00<00:13, 2.20it/s] 9%|▉ | 3/32 [00:01<00:13, 2.10it/s] 12%|█▎ | 4/32 [00:01<00:13, 2.05it/s] 16%|█▌ | 5/32 [00:02<00:13, 2.03it/s] 19%|█▉ | 6/32 [00:02<00:12, 2.01it/s] 22%|██▏ | 7/32 [00:03<00:12, 2.00it/s] 25%|██▌ | 8/32 [00:03<00:12, 2.00it/s] 28%|██▊ | 9/32 [00:04<00:11, 1.99it/s] 31%|███▏ | 10/32 [00:04<00:11, 1.99it/s] 34%|███▍ | 11/32 [00:05<00:10, 1.99it/s] 38%|███▊ | 12/32 [00:05<00:10, 1.99it/s] 41%|████ | 13/32 [00:06<00:09, 1.99it/s] 44%|████▍ | 14/32 [00:06<00:09, 1.98it/s] 47%|████▋ | 15/32 [00:07<00:08, 1.98it/s] 50%|█████ | 16/32 [00:07<00:08, 1.99it/s] 53%|█████▎ | 17/32 [00:08<00:07, 1.99it/s] 56%|█████▋ | 18/32 [00:08<00:07, 1.99it/s] 59%|█████▉ | 19/32 [00:09<00:06, 1.99it/s] 62%|██████▎ | 20/32 [00:09<00:06, 1.99it/s] 66%|██████▌ | 21/32 [00:10<00:05, 1.99it/s] 69%|██████▉ | 22/32 [00:10<00:05, 1.99it/s] 72%|███████▏ | 23/32 [00:11<00:04, 1.99it/s] 75%|███████▌ | 24/32 [00:11<00:04, 1.99it/s] 78%|███████▊ | 25/32 [00:12<00:03, 1.99it/s] 81%|████████▏ | 26/32 [00:13<00:03, 1.99it/s] 84%|████████▍ | 27/32 [00:13<00:02, 1.99it/s] 88%|████████▊ | 28/32 [00:14<00:02, 1.99it/s] 91%|█████████ | 29/32 [00:14<00:01, 1.99it/s] 94%|█████████▍| 30/32 [00:15<00:01, 1.99it/s] 97%|█████████▋| 31/32 [00:15<00:00, 1.99it/s] 100%|██████████| 32/32 [00:16<00:00, 1.99it/s] 100%|██████████| 32/32 [00:16<00:00, 2.00it/s] Total safe images: 2 out of 2
Prediction
jjcall/admm:5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8ModelIDw4y9aqv17nrm80cq52rsdy5wt4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A woman mid-laugh, standing casually against a seamless white background, fingers interlocked, eyes bright. Shot in TOK style — high-contrast black-and-white, candid posture, real emotion, visible texture in hair and clothes.
- go_fast
- lora_scale
- 1.28
- megapixels
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 2.53
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 32
{ "model": "dev", "prompt": "A woman mid-laugh, standing casually against a seamless white background, fingers interlocked, eyes bright. Shot in TOK style — high-contrast black-and-white, candid posture, real emotion, visible texture in hair and clothes.", "go_fast": false, "lora_scale": 1.28, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2.53, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 32 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 jjcall/admm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jjcall/admm:5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8", { input: { model: "dev", prompt: "A woman mid-laugh, standing casually against a seamless white background, fingers interlocked, eyes bright. Shot in TOK style — high-contrast black-and-white, candid posture, real emotion, visible texture in hair and clothes.", go_fast: false, lora_scale: 1.28, megapixels: "1", num_outputs: 2, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 2.53, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 32 } } ); // 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 replicate
Import the client:import replicate
Run jjcall/admm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jjcall/admm:5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8", input={ "model": "dev", "prompt": "A woman mid-laugh, standing casually against a seamless white background, fingers interlocked, eyes bright. Shot in TOK style — high-contrast black-and-white, candid posture, real emotion, visible texture in hair and clothes.", "go_fast": False, "lora_scale": 1.28, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2.53, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 32 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run jjcall/admm 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": "jjcall/admm:5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8", "input": { "model": "dev", "prompt": "A woman mid-laugh, standing casually against a seamless white background, fingers interlocked, eyes bright. Shot in TOK style — high-contrast black-and-white, candid posture, real emotion, visible texture in hair and clothes.", "go_fast": false, "lora_scale": 1.28, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2.53, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 32 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-31T23:33:39.922265Z", "created_at": "2025-05-31T23:33:22.877000Z", "data_removed": false, "error": null, "id": "w4y9aqv17nrm80cq52rsdy5wt4", "input": { "model": "dev", "prompt": "A woman mid-laugh, standing casually against a seamless white background, fingers interlocked, eyes bright. Shot in TOK style — high-contrast black-and-white, candid posture, real emotion, visible texture in hair and clothes.", "go_fast": false, "lora_scale": 1.28, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2.53, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 32 }, "logs": "Loaded LoRAs in 0.55s\nUsing seed: 9061\nPrompt: A woman mid-laugh, standing casually against a seamless white background, fingers interlocked, eyes bright. Shot in TOK style — high-contrast black-and-white, candid posture, real emotion, visible texture in hair and clothes.\n[!] txt2img mode\n 0%| | 0/32 [00:00<?, ?it/s]\n 3%|▎ | 1/32 [00:00<00:15, 1.98it/s]\n 6%|▋ | 2/32 [00:00<00:13, 2.20it/s]\n 9%|▉ | 3/32 [00:01<00:13, 2.10it/s]\n 12%|█▎ | 4/32 [00:01<00:13, 2.05it/s]\n 16%|█▌ | 5/32 [00:02<00:13, 2.03it/s]\n 19%|█▉ | 6/32 [00:02<00:12, 2.02it/s]\n 22%|██▏ | 7/32 [00:03<00:12, 2.01it/s]\n 25%|██▌ | 8/32 [00:03<00:11, 2.00it/s]\n 28%|██▊ | 9/32 [00:04<00:11, 1.99it/s]\n 31%|███▏ | 10/32 [00:04<00:11, 1.99it/s]\n 34%|███▍ | 11/32 [00:05<00:10, 1.99it/s]\n 38%|███▊ | 12/32 [00:05<00:10, 1.99it/s]\n 41%|████ | 13/32 [00:06<00:09, 1.99it/s]\n 44%|████▍ | 14/32 [00:06<00:09, 1.99it/s]\n 47%|████▋ | 15/32 [00:07<00:08, 1.99it/s]\n 50%|█████ | 16/32 [00:07<00:08, 1.99it/s]\n 53%|█████▎ | 17/32 [00:08<00:07, 1.98it/s]\n 56%|█████▋ | 18/32 [00:08<00:07, 1.99it/s]\n 59%|█████▉ | 19/32 [00:09<00:06, 1.99it/s]\n 62%|██████▎ | 20/32 [00:09<00:06, 1.99it/s]\n 66%|██████▌ | 21/32 [00:10<00:05, 1.99it/s]\n 69%|██████▉ | 22/32 [00:10<00:05, 1.99it/s]\n 72%|███████▏ | 23/32 [00:11<00:04, 1.99it/s]\n 75%|███████▌ | 24/32 [00:12<00:04, 1.98it/s]\n 78%|███████▊ | 25/32 [00:12<00:03, 1.98it/s]\n 81%|████████▏ | 26/32 [00:13<00:03, 1.98it/s]\n 84%|████████▍ | 27/32 [00:13<00:02, 1.98it/s]\n 88%|████████▊ | 28/32 [00:14<00:02, 1.98it/s]\n 91%|█████████ | 29/32 [00:14<00:01, 1.98it/s]\n 94%|█████████▍| 30/32 [00:15<00:01, 1.98it/s]\n 97%|█████████▋| 31/32 [00:15<00:00, 1.98it/s]\n100%|██████████| 32/32 [00:16<00:00, 1.98it/s]\n100%|██████████| 32/32 [00:16<00:00, 2.00it/s]\nTotal safe images: 2 out of 2", "metrics": { "predict_time": 16.979659736, "total_time": 17.045265 }, "output": [ "https://replicate.delivery/xezq/IzCl2JX1sM6cPdJU9XeU9aeW6qtH420M34cTJyPuMtdTPUyUA/out-0.jpg", "https://replicate.delivery/xezq/GbAfiWE88EU5ZyKz9SCjVztVhBkO0MVcGL5Q5RVGteXTPUyUA/out-1.jpg" ], "started_at": "2025-05-31T23:33:22.942605Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-zokvmk2d2i6zngx2peerzyli66emndyfehkvcsfs6ymkgzu6y3fq", "get": "https://api.replicate.com/v1/predictions/w4y9aqv17nrm80cq52rsdy5wt4", "cancel": "https://api.replicate.com/v1/predictions/w4y9aqv17nrm80cq52rsdy5wt4/cancel" }, "version": "5505f23ce5471dd6217d180ce0285edb3ad0201fcbe119ad174ae61f8bb6e4b8" }
Generated inLoaded LoRAs in 0.55s Using seed: 9061 Prompt: A woman mid-laugh, standing casually against a seamless white background, fingers interlocked, eyes bright. Shot in TOK style — high-contrast black-and-white, candid posture, real emotion, visible texture in hair and clothes. [!] txt2img mode 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:15, 1.98it/s] 6%|▋ | 2/32 [00:00<00:13, 2.20it/s] 9%|▉ | 3/32 [00:01<00:13, 2.10it/s] 12%|█▎ | 4/32 [00:01<00:13, 2.05it/s] 16%|█▌ | 5/32 [00:02<00:13, 2.03it/s] 19%|█▉ | 6/32 [00:02<00:12, 2.02it/s] 22%|██▏ | 7/32 [00:03<00:12, 2.01it/s] 25%|██▌ | 8/32 [00:03<00:11, 2.00it/s] 28%|██▊ | 9/32 [00:04<00:11, 1.99it/s] 31%|███▏ | 10/32 [00:04<00:11, 1.99it/s] 34%|███▍ | 11/32 [00:05<00:10, 1.99it/s] 38%|███▊ | 12/32 [00:05<00:10, 1.99it/s] 41%|████ | 13/32 [00:06<00:09, 1.99it/s] 44%|████▍ | 14/32 [00:06<00:09, 1.99it/s] 47%|████▋ | 15/32 [00:07<00:08, 1.99it/s] 50%|█████ | 16/32 [00:07<00:08, 1.99it/s] 53%|█████▎ | 17/32 [00:08<00:07, 1.98it/s] 56%|█████▋ | 18/32 [00:08<00:07, 1.99it/s] 59%|█████▉ | 19/32 [00:09<00:06, 1.99it/s] 62%|██████▎ | 20/32 [00:09<00:06, 1.99it/s] 66%|██████▌ | 21/32 [00:10<00:05, 1.99it/s] 69%|██████▉ | 22/32 [00:10<00:05, 1.99it/s] 72%|███████▏ | 23/32 [00:11<00:04, 1.99it/s] 75%|███████▌ | 24/32 [00:12<00:04, 1.98it/s] 78%|███████▊ | 25/32 [00:12<00:03, 1.98it/s] 81%|████████▏ | 26/32 [00:13<00:03, 1.98it/s] 84%|████████▍ | 27/32 [00:13<00:02, 1.98it/s] 88%|████████▊ | 28/32 [00:14<00:02, 1.98it/s] 91%|█████████ | 29/32 [00:14<00:01, 1.98it/s] 94%|█████████▍| 30/32 [00:15<00:01, 1.98it/s] 97%|█████████▋| 31/32 [00:15<00:00, 1.98it/s] 100%|██████████| 32/32 [00:16<00:00, 1.98it/s] 100%|██████████| 32/32 [00:16<00:00, 2.00it/s] Total safe images: 2 out of 2
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