gauntlet-ai / flux-lora-zac
- Public
- 38 runs
-
H100
Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaID8401ekab4drme0cnb3mrskezmcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH headshot in a dark blue suit
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH headshot in a dark blue suit", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-02T22:10:48.724317Z", "created_at": "2025-03-02T22:10:39.011000Z", "data_removed": false, "error": null, "id": "8401ekab4drme0cnb3mrskezmc", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28125286780928\nDownloading weights\n2025-03-02T22:10:39Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpefcfhyf_/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\n2025-03-02T22:10:41Z | INFO | [ Complete ] dest=/tmp/tmpefcfhyf_/weights size=\"172 MB\" total_elapsed=1.879s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\nDownloaded weights in 1.90s\nLoaded LoRAs in 2.46s\nUsing seed: 41952\nPrompt: a realistic photo of MRZACSMITH headshot in a dark blue suit\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.00it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.53it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.27it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.17it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.11it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.05it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.04it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.03it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.02it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.02it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.02it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 4.01it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.01it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 4.01it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.01it/s]\n 61%|██████ | 17/28 [00:04<00:02, 4.01it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.01it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.01it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.01it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 4.01it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 4.01it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.01it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.01it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 4.01it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 4.01it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.01it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.01it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.04it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 9.602384837, "total_time": 9.713317 }, "output": [ "https://replicate.delivery/xezq/e3Wf9sgzmfMzjJLb0KE5TZ6e2Hn38RW90JgXU7sZXqVgWiSRB/out-0.jpg" ], "started_at": "2025-03-02T22:10:39.121932Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-oqfhvzupldo5doygrbc2yefae3rpc7h4hvwjlesnj26wp7v7sxka", "get": "https://api.replicate.com/v1/predictions/8401ekab4drme0cnb3mrskezmc", "cancel": "https://api.replicate.com/v1/predictions/8401ekab4drme0cnb3mrskezmc/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated infree=28125286780928 Downloading weights 2025-03-02T22:10:39Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpefcfhyf_/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar 2025-03-02T22:10:41Z | INFO | [ Complete ] dest=/tmp/tmpefcfhyf_/weights size="172 MB" total_elapsed=1.879s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar Downloaded weights in 1.90s Loaded LoRAs in 2.46s Using seed: 41952 Prompt: a realistic photo of MRZACSMITH headshot in a dark blue suit [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.00it/s] 7%|▋ | 2/28 [00:00<00:05, 4.53it/s] 11%|█ | 3/28 [00:00<00:05, 4.27it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.17it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.11it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.05it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.04it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.03it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.02it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.02it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.02it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.01it/s] 50%|█████ | 14/28 [00:03<00:03, 4.01it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.01it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.01it/s] 61%|██████ | 17/28 [00:04<00:02, 4.01it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.01it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.01it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.01it/s] 75%|███████▌ | 21/28 [00:05<00:01, 4.01it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.01it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.01it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.01it/s] 89%|████████▉ | 25/28 [00:06<00:00, 4.01it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.01it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.01it/s] 100%|██████████| 28/28 [00:06<00:00, 4.01it/s] 100%|██████████| 28/28 [00:06<00:00, 4.04it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaIDp760eta93nrma0cnb3n8f2atz0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH with groomed full beard,headshot in a dark blue suit
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH with groomed full beard,headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH with groomed full beard,headshot in a dark blue suit", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH with groomed full beard,headshot in a dark blue suit", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH with groomed full beard,headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-02T22:11:54.375110Z", "created_at": "2025-03-02T22:11:44.029000Z", "data_removed": false, "error": null, "id": "p760eta93nrma0cnb3n8f2atz0", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH with groomed full beard,headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28909111689216\nDownloading weights\n2025-03-02T22:11:44Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp4b6qhnpt/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\n2025-03-02T22:11:46Z | INFO | [ Complete ] dest=/tmp/tmp4b6qhnpt/weights size=\"172 MB\" total_elapsed=2.129s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\nDownloaded weights in 2.15s\nLoaded LoRAs in 2.72s\nUsing seed: 33384\nPrompt: a realistic photo of MRZACSMITH with groomed full beard,headshot in a dark blue suit\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.02it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.54it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.29it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.18it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.12it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.08it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.06it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.05it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.04it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.03it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.03it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.02it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 4.02it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.02it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 4.02it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.02it/s]\n 61%|██████ | 17/28 [00:04<00:02, 4.02it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.01it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.02it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.01it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 4.01it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 4.01it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.02it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.01it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 4.01it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 4.00it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.01it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.01it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.04it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 9.848310724, "total_time": 10.34611 }, "output": [ "https://replicate.delivery/xezq/Ysox5AVkj77oDlttIRDPoPQeMIVFKRqety85mnfB6V3UNRpoA/out-0.jpg" ], "started_at": "2025-03-02T22:11:44.526799Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-xwphivj7xxs6zieryyoxowwq5vgpbwalghpuvnbmgk5pioynl7nq", "get": "https://api.replicate.com/v1/predictions/p760eta93nrma0cnb3n8f2atz0", "cancel": "https://api.replicate.com/v1/predictions/p760eta93nrma0cnb3n8f2atz0/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated infree=28909111689216 Downloading weights 2025-03-02T22:11:44Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp4b6qhnpt/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar 2025-03-02T22:11:46Z | INFO | [ Complete ] dest=/tmp/tmp4b6qhnpt/weights size="172 MB" total_elapsed=2.129s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar Downloaded weights in 2.15s Loaded LoRAs in 2.72s Using seed: 33384 Prompt: a realistic photo of MRZACSMITH with groomed full beard,headshot in a dark blue suit [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.02it/s] 7%|▋ | 2/28 [00:00<00:05, 4.54it/s] 11%|█ | 3/28 [00:00<00:05, 4.29it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.18it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.12it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.08it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.06it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.05it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.04it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.03it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.03it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.02it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.02it/s] 50%|█████ | 14/28 [00:03<00:03, 4.02it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.02it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.02it/s] 61%|██████ | 17/28 [00:04<00:02, 4.02it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.01it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.02it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.01it/s] 75%|███████▌ | 21/28 [00:05<00:01, 4.01it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.01it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.02it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.01it/s] 89%|████████▉ | 25/28 [00:06<00:00, 4.01it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.00it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.01it/s] 100%|██████████| 28/28 [00:06<00:00, 4.01it/s] 100%|██████████| 28/28 [00:06<00:00, 4.04it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaIDhvn2yywxsnrmc0cnb3nvszxg24StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH in a batman outfit
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH in a batman outfit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH in a batman outfit", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH in a batman outfit", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH in a batman outfit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-02T22:13:22.038487Z", "created_at": "2025-03-02T22:13:11.245000Z", "data_removed": false, "error": null, "id": "hvn2yywxsnrmc0cnb3nvszxg24", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH in a batman outfit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28495905660928\nDownloading weights\n2025-03-02T22:13:11Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp2625c7pw/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\n2025-03-02T22:13:14Z | INFO | [ Complete ] dest=/tmp/tmp2625c7pw/weights size=\"172 MB\" total_elapsed=2.559s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\nDownloaded weights in 2.58s\nLoaded LoRAs in 3.14s\nUsing seed: 11141\nPrompt: a realistic photo of MRZACSMITH in a batman outfit\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 3.98it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.51it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.26it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.14it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.05it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.02it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.01it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s]\n 43%|████▎ | 12/28 [00:02<00:04, 3.99it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.99it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.99it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.99it/s]\n 57%|█████▋ | 16/28 [00:03<00:03, 3.99it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.99it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.99it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.99it/s]\n 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.99it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.99it/s]\n 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.99it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.02it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 10.388885299, "total_time": 10.793487 }, "output": [ "https://replicate.delivery/xezq/oRoDvzQwNJaMBVSdoZj6rd0XKNORmgeezn5W5jcAH7FCooUUA/out-0.jpg" ], "started_at": "2025-03-02T22:13:11.649601Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-xl4hearrjjobfgoaxad3yx466oc47pmk54nofywohwrblljjkwmq", "get": "https://api.replicate.com/v1/predictions/hvn2yywxsnrmc0cnb3nvszxg24", "cancel": "https://api.replicate.com/v1/predictions/hvn2yywxsnrmc0cnb3nvszxg24/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated infree=28495905660928 Downloading weights 2025-03-02T22:13:11Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp2625c7pw/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar 2025-03-02T22:13:14Z | INFO | [ Complete ] dest=/tmp/tmp2625c7pw/weights size="172 MB" total_elapsed=2.559s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar Downloaded weights in 2.58s Loaded LoRAs in 3.14s Using seed: 11141 Prompt: a realistic photo of MRZACSMITH in a batman outfit [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 3.98it/s] 7%|▋ | 2/28 [00:00<00:05, 4.51it/s] 11%|█ | 3/28 [00:00<00:05, 4.26it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.14it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.05it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.02it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.01it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s] 43%|████▎ | 12/28 [00:02<00:04, 3.99it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.99it/s] 50%|█████ | 14/28 [00:03<00:03, 3.99it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.99it/s] 57%|█████▋ | 16/28 [00:03<00:03, 3.99it/s] 61%|██████ | 17/28 [00:04<00:02, 3.99it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.99it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.99it/s] 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.99it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.99it/s] 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.99it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 4.02it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaIDrxzej1k365rm80cnb3p875knr8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH with full beard in a batman outfit
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full beard in a batman outfit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH with full beard in a batman outfit", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full beard in a batman outfit", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full beard in a batman outfit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-02T22:14:09.721814Z", "created_at": "2025-03-02T22:14:01.777000Z", "data_removed": false, "error": null, "id": "rxzej1k365rm80cnb3p875knr8", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full beard in a batman outfit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.56s\nUsing seed: 58975\nPrompt: a realistic photo of MRZACSMITH with full beard in a batman outfit\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 3.99it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.51it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.26it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.15it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.06it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.02it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.01it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s]\n 43%|████▎ | 12/28 [00:02<00:04, 4.00it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.99it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.99it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.99it/s]\n 57%|█████▋ | 16/28 [00:03<00:03, 3.99it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.99it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.99it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.99it/s]\n 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.98it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.98it/s]\n 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.98it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.02it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 7.7410587920000005, "total_time": 7.944814 }, "output": [ "https://replicate.delivery/xezq/MSmwK5Uhfnz2ZChp4JUoAtg8huhJtUN9jsWUlOwTVfBxooUUA/out-0.jpg" ], "started_at": "2025-03-02T22:14:01.980755Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-gcvv5wyo7g3b4a4zxtww2ozcbr4idg5sbvfyrsbhnzjn2oso2wta", "get": "https://api.replicate.com/v1/predictions/rxzej1k365rm80cnb3p875knr8", "cancel": "https://api.replicate.com/v1/predictions/rxzej1k365rm80cnb3p875knr8/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated inLoaded LoRAs in 0.56s Using seed: 58975 Prompt: a realistic photo of MRZACSMITH with full beard in a batman outfit [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 3.99it/s] 7%|▋ | 2/28 [00:00<00:05, 4.51it/s] 11%|█ | 3/28 [00:00<00:05, 4.26it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.15it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.06it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.02it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.01it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s] 43%|████▎ | 12/28 [00:02<00:04, 4.00it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.99it/s] 50%|█████ | 14/28 [00:03<00:03, 3.99it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.99it/s] 57%|█████▋ | 16/28 [00:03<00:03, 3.99it/s] 61%|██████ | 17/28 [00:04<00:02, 3.99it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.99it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.99it/s] 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.98it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.98it/s] 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.98it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 4.02it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaIDxh3vnp6q6nrme0cnb3prgc6vagStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-02T22:15:54.928901Z", "created_at": "2025-03-02T22:15:37.013000Z", "data_removed": false, "error": null, "id": "xh3vnp6q6nrme0cnb3prgc6vag", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.55s\nUsing seed: 35412\nPrompt: a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 3.99it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.50it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.25it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.14it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.05it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.01it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.00it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s]\n 43%|████▎ | 12/28 [00:02<00:04, 3.99it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.99it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.99it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.99it/s]\n 57%|█████▋ | 16/28 [00:03<00:03, 3.99it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.99it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.99it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.99it/s]\n 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.99it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.99it/s]\n 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.99it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.02it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 7.73347037, "total_time": 17.915901 }, "output": [ "https://replicate.delivery/xezq/sVGuQKhuXIYYL1ex8IfZwAxsNQQQVvRBJycsUw5oRTjaqoUUA/out-0.jpg" ], "started_at": "2025-03-02T22:15:47.195431Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-3kyxizo4h53ha4ttz2rmlplmz4afful5ow2bpjx3dk3vgjiftvta", "get": "https://api.replicate.com/v1/predictions/xh3vnp6q6nrme0cnb3prgc6vag", "cancel": "https://api.replicate.com/v1/predictions/xh3vnp6q6nrme0cnb3prgc6vag/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated inLoaded LoRAs in 0.55s Using seed: 35412 Prompt: a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 3.99it/s] 7%|▋ | 2/28 [00:00<00:05, 4.50it/s] 11%|█ | 3/28 [00:00<00:05, 4.25it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.14it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.05it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.01it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.00it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s] 43%|████▎ | 12/28 [00:02<00:04, 3.99it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.99it/s] 50%|█████ | 14/28 [00:03<00:03, 3.99it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.99it/s] 57%|█████▋ | 16/28 [00:03<00:03, 3.99it/s] 61%|██████ | 17/28 [00:04<00:02, 3.99it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.99it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.99it/s] 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.99it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.99it/s] 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.99it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 4.02it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaID8401ekab4drme0cnb3mrskezmcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH headshot in a dark blue suit
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH headshot in a dark blue suit", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-02T22:10:48.724317Z", "created_at": "2025-03-02T22:10:39.011000Z", "data_removed": false, "error": null, "id": "8401ekab4drme0cnb3mrskezmc", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28125286780928\nDownloading weights\n2025-03-02T22:10:39Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpefcfhyf_/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\n2025-03-02T22:10:41Z | INFO | [ Complete ] dest=/tmp/tmpefcfhyf_/weights size=\"172 MB\" total_elapsed=1.879s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\nDownloaded weights in 1.90s\nLoaded LoRAs in 2.46s\nUsing seed: 41952\nPrompt: a realistic photo of MRZACSMITH headshot in a dark blue suit\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.00it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.53it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.27it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.17it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.11it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.05it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.04it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.03it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.02it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.02it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.02it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 4.01it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.01it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 4.01it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.01it/s]\n 61%|██████ | 17/28 [00:04<00:02, 4.01it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.01it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.01it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.01it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 4.01it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 4.01it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.01it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.01it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 4.01it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 4.01it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.01it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.01it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.04it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 9.602384837, "total_time": 9.713317 }, "output": [ "https://replicate.delivery/xezq/e3Wf9sgzmfMzjJLb0KE5TZ6e2Hn38RW90JgXU7sZXqVgWiSRB/out-0.jpg" ], "started_at": "2025-03-02T22:10:39.121932Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-oqfhvzupldo5doygrbc2yefae3rpc7h4hvwjlesnj26wp7v7sxka", "get": "https://api.replicate.com/v1/predictions/8401ekab4drme0cnb3mrskezmc", "cancel": "https://api.replicate.com/v1/predictions/8401ekab4drme0cnb3mrskezmc/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated infree=28125286780928 Downloading weights 2025-03-02T22:10:39Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpefcfhyf_/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar 2025-03-02T22:10:41Z | INFO | [ Complete ] dest=/tmp/tmpefcfhyf_/weights size="172 MB" total_elapsed=1.879s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar Downloaded weights in 1.90s Loaded LoRAs in 2.46s Using seed: 41952 Prompt: a realistic photo of MRZACSMITH headshot in a dark blue suit [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.00it/s] 7%|▋ | 2/28 [00:00<00:05, 4.53it/s] 11%|█ | 3/28 [00:00<00:05, 4.27it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.17it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.11it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.05it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.04it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.03it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.02it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.02it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.02it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.01it/s] 50%|█████ | 14/28 [00:03<00:03, 4.01it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.01it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.01it/s] 61%|██████ | 17/28 [00:04<00:02, 4.01it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.01it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.01it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.01it/s] 75%|███████▌ | 21/28 [00:05<00:01, 4.01it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.01it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.01it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.01it/s] 89%|████████▉ | 25/28 [00:06<00:00, 4.01it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.01it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.01it/s] 100%|██████████| 28/28 [00:06<00:00, 4.01it/s] 100%|██████████| 28/28 [00:06<00:00, 4.04it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaIDxh3vnp6q6nrme0cnb3prgc6vagStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-02T22:15:54.928901Z", "created_at": "2025-03-02T22:15:37.013000Z", "data_removed": false, "error": null, "id": "xh3vnp6q6nrme0cnb3prgc6vag", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.55s\nUsing seed: 35412\nPrompt: a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 3.99it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.50it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.25it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.14it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.05it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.01it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.00it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s]\n 43%|████▎ | 12/28 [00:02<00:04, 3.99it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.99it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.99it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.99it/s]\n 57%|█████▋ | 16/28 [00:03<00:03, 3.99it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.99it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.99it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.99it/s]\n 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.99it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.99it/s]\n 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.99it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.02it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 7.73347037, "total_time": 17.915901 }, "output": [ "https://replicate.delivery/xezq/sVGuQKhuXIYYL1ex8IfZwAxsNQQQVvRBJycsUw5oRTjaqoUUA/out-0.jpg" ], "started_at": "2025-03-02T22:15:47.195431Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-3kyxizo4h53ha4ttz2rmlplmz4afful5ow2bpjx3dk3vgjiftvta", "get": "https://api.replicate.com/v1/predictions/xh3vnp6q6nrme0cnb3prgc6vag", "cancel": "https://api.replicate.com/v1/predictions/xh3vnp6q6nrme0cnb3prgc6vag/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated inLoaded LoRAs in 0.55s Using seed: 35412 Prompt: a realistic photo of MRZACSMITH with full, groomed beard in a batman outfit and mask [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 3.99it/s] 7%|▋ | 2/28 [00:00<00:05, 4.50it/s] 11%|█ | 3/28 [00:00<00:05, 4.25it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.14it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.05it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.01it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.00it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s] 43%|████▎ | 12/28 [00:02<00:04, 3.99it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.99it/s] 50%|█████ | 14/28 [00:03<00:03, 3.99it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.99it/s] 57%|█████▋ | 16/28 [00:03<00:03, 3.99it/s] 61%|██████ | 17/28 [00:04<00:02, 3.99it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.99it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.99it/s] 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.99it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.99it/s] 86%|████████▌ | 24/28 [00:05<00:01, 3.98it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.99it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 4.02it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaIDer1c2v5b2nrm80cnbtavw6rkqcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic side profile of MRZACSMITH with full, groomed beard working in batman outfit, and focused on a macbook laptop writing javascript computer code on a desk with background of home office.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic side profile of MRZACSMITH with full, groomed beard working in batman outfit, and focused on a macbook laptop writing javascript computer code on a desk with background of home office. ", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic side profile of MRZACSMITH with full, groomed beard working in batman outfit, and focused on a macbook laptop writing javascript computer code on a desk with background of home office. ", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "16:9", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic side profile of MRZACSMITH with full, groomed beard working in batman outfit, and focused on a macbook laptop writing javascript computer code on a desk with background of home office. ", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic side profile of MRZACSMITH with full, groomed beard working in batman outfit, and focused on a macbook laptop writing javascript computer code on a desk with background of home office. ", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-04T00:37:11.401144Z", "created_at": "2025-03-04T00:37:01.845000Z", "data_removed": false, "error": null, "id": "er1c2v5b2nrm80cnbtavw6rkqc", "input": { "model": "dev", "prompt": "a realistic side profile of MRZACSMITH with full, groomed beard working in batman outfit, and focused on a macbook laptop writing javascript computer code on a desk with background of home office. ", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.56s\nUsing seed: 23526\nPrompt: a realistic side profile of MRZACSMITH with full, groomed beard working in batman outfit, and focused on a macbook laptop writing javascript computer code on a desk with background of home office.\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 3.99it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.51it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.27it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.14it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.05it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.03it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.00it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s]\n 43%|████▎ | 12/28 [00:02<00:04, 4.00it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 4.00it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.99it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 4.00it/s]\n 57%|█████▋ | 16/28 [00:03<00:03, 4.00it/s]\n 61%|██████ | 17/28 [00:04<00:02, 4.00it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.00it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.00it/s]\n 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.99it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.00it/s]\n 86%|████████▌ | 24/28 [00:05<00:01, 4.00it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.99it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 3.99it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.02it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 7.754683841, "total_time": 9.556144 }, "output": [ "https://replicate.delivery/xezq/EJ1miymh0AbBNF08UHULvbcgZ0Ghl5IspjzfOoaOfiP30fpoA/out-0.jpg" ], "started_at": "2025-03-04T00:37:03.646460Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-hxsznt6twwuigvggjpnsizyjbgbkupr6zktekdotrg5rn3cyag3q", "get": "https://api.replicate.com/v1/predictions/er1c2v5b2nrm80cnbtavw6rkqc", "cancel": "https://api.replicate.com/v1/predictions/er1c2v5b2nrm80cnbtavw6rkqc/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated inLoaded LoRAs in 0.56s Using seed: 23526 Prompt: a realistic side profile of MRZACSMITH with full, groomed beard working in batman outfit, and focused on a macbook laptop writing javascript computer code on a desk with background of home office. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 3.99it/s] 7%|▋ | 2/28 [00:00<00:05, 4.51it/s] 11%|█ | 3/28 [00:00<00:05, 4.27it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.14it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.09it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.05it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.03it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.03it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.00it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.00it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.00it/s] 43%|████▎ | 12/28 [00:02<00:04, 4.00it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.00it/s] 50%|█████ | 14/28 [00:03<00:03, 3.99it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.00it/s] 57%|█████▋ | 16/28 [00:03<00:03, 4.00it/s] 61%|██████ | 17/28 [00:04<00:02, 4.00it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.00it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.00it/s] 71%|███████▏ | 20/28 [00:04<00:02, 3.99it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.99it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.99it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.00it/s] 86%|████████▌ | 24/28 [00:05<00:01, 4.00it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.99it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.99it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 3.99it/s] 100%|██████████| 28/28 [00:06<00:00, 4.02it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaIDg0vzatkx71rma0cnex4b2srsgrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- realistic photo of MRZACSMITH as a Avenger without a mask and in bright colors
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 2
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "realistic photo of MRZACSMITH as a Avenger without a mask and in bright colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "realistic photo of MRZACSMITH as a Avenger without a mask and in bright colors", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 2, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "realistic photo of MRZACSMITH as a Avenger without a mask and in bright colors", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "realistic photo of MRZACSMITH as a Avenger without a mask and in bright colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-08T19:43:32.004608Z", "created_at": "2025-03-08T19:43:14.232000Z", "data_removed": false, "error": null, "id": "g0vzatkx71rma0cnex4b2srsgr", "input": { "model": "dev", "prompt": "realistic photo of MRZACSMITH as a Avenger without a mask and in bright colors", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=27706704654336\nDownloading weights\n2025-03-08T19:43:14Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpe3wi01_t/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\n2025-03-08T19:43:15Z | INFO | [ Complete ] dest=/tmp/tmpe3wi01_t/weights size=\"172 MB\" total_elapsed=1.308s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\nDownloaded weights in 1.33s\nLoaded LoRAs in 1.90s\nUsing seed: 57250\nPrompt: realistic photo of MRZACSMITH as a Avenger without a mask and in bright colors\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:30, 1.15s/it]\n 7%|▋ | 2/28 [00:01<00:18, 1.43it/s]\n 11%|█ | 3/28 [00:02<00:14, 1.67it/s]\n 14%|█▍ | 4/28 [00:02<00:13, 1.81it/s]\n 18%|█▊ | 5/28 [00:02<00:12, 1.89it/s]\n 21%|██▏ | 6/28 [00:03<00:11, 1.95it/s]\n 25%|██▌ | 7/28 [00:03<00:10, 1.99it/s]\n 29%|██▊ | 8/28 [00:04<00:09, 2.01it/s]\n 32%|███▏ | 9/28 [00:04<00:09, 2.03it/s]\n 36%|███▌ | 10/28 [00:05<00:08, 2.04it/s]\n 39%|███▉ | 11/28 [00:05<00:08, 2.05it/s]\n 43%|████▎ | 12/28 [00:06<00:07, 2.06it/s]\n 46%|████▋ | 13/28 [00:06<00:07, 2.06it/s]\n 50%|█████ | 14/28 [00:07<00:06, 2.06it/s]\n 54%|█████▎ | 15/28 [00:07<00:06, 2.07it/s]\n 57%|█████▋ | 16/28 [00:08<00:05, 2.06it/s]\n 61%|██████ | 17/28 [00:08<00:05, 2.06it/s]\n 64%|██████▍ | 18/28 [00:09<00:04, 2.06it/s]\n 68%|██████▊ | 19/28 [00:09<00:04, 2.06it/s]\n 71%|███████▏ | 20/28 [00:10<00:03, 2.06it/s]\n 75%|███████▌ | 21/28 [00:10<00:03, 2.06it/s]\n 79%|███████▊ | 22/28 [00:11<00:02, 2.06it/s]\n 82%|████████▏ | 23/28 [00:11<00:02, 2.07it/s]\n 86%|████████▌ | 24/28 [00:12<00:01, 2.07it/s]\n 89%|████████▉ | 25/28 [00:12<00:01, 2.07it/s]\n 93%|█████████▎| 26/28 [00:13<00:00, 2.07it/s]\n 96%|█████████▋| 27/28 [00:13<00:00, 2.07it/s]\n100%|██████████| 28/28 [00:14<00:00, 2.07it/s]\n100%|██████████| 28/28 [00:14<00:00, 1.99it/s]\nTotal safe images: 2 out of 2", "metrics": { "predict_time": 17.766222252, "total_time": 17.772608 }, "output": [ "https://replicate.delivery/xezq/dkq5ll9r0fyWMSWQhRZJq8U0PoeqaqfFH5llzbgk15fMen0iC/out-0.jpg", "https://replicate.delivery/xezq/Of4nKqRmKSwhOSSzpPBhzfSOMsELaSjufOqiT99d6ZDJfTaRB/out-1.jpg" ], "started_at": "2025-03-08T19:43:14.238385Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-2xvfkqyyafwbuvrjirr2eut3b73eid2yhy5fa6npvjydwmc4wxyq", "get": "https://api.replicate.com/v1/predictions/g0vzatkx71rma0cnex4b2srsgr", "cancel": "https://api.replicate.com/v1/predictions/g0vzatkx71rma0cnex4b2srsgr/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated infree=27706704654336 Downloading weights 2025-03-08T19:43:14Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpe3wi01_t/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar 2025-03-08T19:43:15Z | INFO | [ Complete ] dest=/tmp/tmpe3wi01_t/weights size="172 MB" total_elapsed=1.308s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar Downloaded weights in 1.33s Loaded LoRAs in 1.90s Using seed: 57250 Prompt: realistic photo of MRZACSMITH as a Avenger without a mask and in bright colors [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:30, 1.15s/it] 7%|▋ | 2/28 [00:01<00:18, 1.43it/s] 11%|█ | 3/28 [00:02<00:14, 1.67it/s] 14%|█▍ | 4/28 [00:02<00:13, 1.81it/s] 18%|█▊ | 5/28 [00:02<00:12, 1.89it/s] 21%|██▏ | 6/28 [00:03<00:11, 1.95it/s] 25%|██▌ | 7/28 [00:03<00:10, 1.99it/s] 29%|██▊ | 8/28 [00:04<00:09, 2.01it/s] 32%|███▏ | 9/28 [00:04<00:09, 2.03it/s] 36%|███▌ | 10/28 [00:05<00:08, 2.04it/s] 39%|███▉ | 11/28 [00:05<00:08, 2.05it/s] 43%|████▎ | 12/28 [00:06<00:07, 2.06it/s] 46%|████▋ | 13/28 [00:06<00:07, 2.06it/s] 50%|█████ | 14/28 [00:07<00:06, 2.06it/s] 54%|█████▎ | 15/28 [00:07<00:06, 2.07it/s] 57%|█████▋ | 16/28 [00:08<00:05, 2.06it/s] 61%|██████ | 17/28 [00:08<00:05, 2.06it/s] 64%|██████▍ | 18/28 [00:09<00:04, 2.06it/s] 68%|██████▊ | 19/28 [00:09<00:04, 2.06it/s] 71%|███████▏ | 20/28 [00:10<00:03, 2.06it/s] 75%|███████▌ | 21/28 [00:10<00:03, 2.06it/s] 79%|███████▊ | 22/28 [00:11<00:02, 2.06it/s] 82%|████████▏ | 23/28 [00:11<00:02, 2.07it/s] 86%|████████▌ | 24/28 [00:12<00:01, 2.07it/s] 89%|████████▉ | 25/28 [00:12<00:01, 2.07it/s] 93%|█████████▎| 26/28 [00:13<00:00, 2.07it/s] 96%|█████████▋| 27/28 [00:13<00:00, 2.07it/s] 100%|██████████| 28/28 [00:14<00:00, 2.07it/s] 100%|██████████| 28/28 [00:14<00:00, 1.99it/s] Total safe images: 2 out of 2Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaIDh6mn0dv8rhrm80cpndzvqxvk1gStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH in a space suit
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH in a space suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH in a space suit", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH in a space suit", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH in a space suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-05-07T16:06:25.960346Z", "created_at": "2025-05-07T16:06:16.004000Z", "data_removed": false, "error": null, "id": "h6mn0dv8rhrm80cpndzvqxvk1g", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH in a space suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28454408654848\nDownloading weights\n2025-05-07T16:06:16Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp2o4cs2jv/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\n2025-05-07T16:06:16Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-07T16:06:18Z | INFO | [ Complete ] dest=/tmp/tmp2o4cs2jv/weights size=\"172 MB\" total_elapsed=1.983s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\nDownloaded weights in 2.00s\nLoaded LoRAs in 2.57s\nUsing seed: 47816\nPrompt: a realistic photo of MRZACSMITH in a space suit\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 3.86it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.38it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.14it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.04it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.98it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.95it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.93it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.91it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.90it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.89it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.89it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.89it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.89it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.88it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.88it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.88it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.88it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.88it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.88it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.87it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.88it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.88it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.88it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.88it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.87it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.88it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.88it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.88it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.91it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 9.946062648, "total_time": 9.956346 }, "output": [ "https://replicate.delivery/xezq/IxcDzxebE2wELyd5VfcrxOPEstsqnHHKflEAALUz6EeFwNpSB/out-0.jpg" ], "started_at": "2025-05-07T16:06:16.014283Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-fnyz7pqfelrutovbuhmabu23tfq3ubk6mv47uksz3ayhjvhhgyla", "get": "https://api.replicate.com/v1/predictions/h6mn0dv8rhrm80cpndzvqxvk1g", "cancel": "https://api.replicate.com/v1/predictions/h6mn0dv8rhrm80cpndzvqxvk1g/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated infree=28454408654848 Downloading weights 2025-05-07T16:06:16Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp2o4cs2jv/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar 2025-05-07T16:06:16Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-07T16:06:18Z | INFO | [ Complete ] dest=/tmp/tmp2o4cs2jv/weights size="172 MB" total_elapsed=1.983s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar Downloaded weights in 2.00s Loaded LoRAs in 2.57s Using seed: 47816 Prompt: a realistic photo of MRZACSMITH in a space suit [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 3.86it/s] 7%|▋ | 2/28 [00:00<00:05, 4.38it/s] 11%|█ | 3/28 [00:00<00:06, 4.14it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.04it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.98it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.95it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.93it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.91it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.90it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.89it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.89it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.89it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.89it/s] 50%|█████ | 14/28 [00:03<00:03, 3.88it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.88it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.88it/s] 61%|██████ | 17/28 [00:04<00:02, 3.88it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.88it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.88it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.87it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.88it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.88it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.88it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.88it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.87it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.88it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.88it/s] 100%|██████████| 28/28 [00:07<00:00, 3.88it/s] 100%|██████████| 28/28 [00:07<00:00, 3.91it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaID8401ekab4drme0cnb3mrskezmcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH headshot in a dark blue suit
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH headshot in a dark blue suit", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-03-02T22:10:48.724317Z", "created_at": "2025-03-02T22:10:39.011000Z", "data_removed": false, "error": null, "id": "8401ekab4drme0cnb3mrskezmc", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH headshot in a dark blue suit", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28125286780928\nDownloading weights\n2025-03-02T22:10:39Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpefcfhyf_/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\n2025-03-02T22:10:41Z | INFO | [ Complete ] dest=/tmp/tmpefcfhyf_/weights size=\"172 MB\" total_elapsed=1.879s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\nDownloaded weights in 1.90s\nLoaded LoRAs in 2.46s\nUsing seed: 41952\nPrompt: a realistic photo of MRZACSMITH headshot in a dark blue suit\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.00it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.53it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.27it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.17it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.11it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.05it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.04it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.03it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.02it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.02it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.02it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 4.01it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.01it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 4.01it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.01it/s]\n 61%|██████ | 17/28 [00:04<00:02, 4.01it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.01it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.01it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.01it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 4.01it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 4.01it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.01it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.01it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 4.01it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 4.01it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.01it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.01it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.04it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 9.602384837, "total_time": 9.713317 }, "output": [ "https://replicate.delivery/xezq/e3Wf9sgzmfMzjJLb0KE5TZ6e2Hn38RW90JgXU7sZXqVgWiSRB/out-0.jpg" ], "started_at": "2025-03-02T22:10:39.121932Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-oqfhvzupldo5doygrbc2yefae3rpc7h4hvwjlesnj26wp7v7sxka", "get": "https://api.replicate.com/v1/predictions/8401ekab4drme0cnb3mrskezmc", "cancel": "https://api.replicate.com/v1/predictions/8401ekab4drme0cnb3mrskezmc/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated infree=28125286780928 Downloading weights 2025-03-02T22:10:39Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpefcfhyf_/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar 2025-03-02T22:10:41Z | INFO | [ Complete ] dest=/tmp/tmpefcfhyf_/weights size="172 MB" total_elapsed=1.879s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar Downloaded weights in 1.90s Loaded LoRAs in 2.46s Using seed: 41952 Prompt: a realistic photo of MRZACSMITH headshot in a dark blue suit [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.00it/s] 7%|▋ | 2/28 [00:00<00:05, 4.53it/s] 11%|█ | 3/28 [00:00<00:05, 4.27it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.17it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.11it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.07it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.05it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.04it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.03it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.02it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.02it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.02it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.01it/s] 50%|█████ | 14/28 [00:03<00:03, 4.01it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.01it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.01it/s] 61%|██████ | 17/28 [00:04<00:02, 4.01it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.01it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.01it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.01it/s] 75%|███████▌ | 21/28 [00:05<00:01, 4.01it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.01it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.01it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.01it/s] 89%|████████▉ | 25/28 [00:06<00:00, 4.01it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.01it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.01it/s] 100%|██████████| 28/28 [00:06<00:00, 4.01it/s] 100%|██████████| 28/28 [00:06<00:00, 4.04it/s] Total safe images: 1 out of 1Prediction
gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dcaIDz0cgwmbda5rm80cpnnn90e73y4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a realistic photo of MRZACSMITH wearing a straw cowboy hat in a field of flowers
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 9:16
- output_format
- jpg
- guidance_scale
- 2.75
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a realistic photo of MRZACSMITH wearing a straw cowboy hat in a field of flowers", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", { input: { model: "dev", prompt: "a realistic photo of MRZACSMITH wearing a straw cowboy hat in a field of flowers", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "9:16", output_format: "jpg", guidance_scale: 2.75, output_quality: 80, 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 gauntlet-ai/flux-lora-zac using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", input={ "model": "dev", "prompt": "a realistic photo of MRZACSMITH wearing a straw cowboy hat in a field of flowers", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 gauntlet-ai/flux-lora-zac 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": "gauntlet-ai/flux-lora-zac:14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH wearing a straw cowboy hat in a field of flowers", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "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": "2025-05-08T01:02:46.656878Z", "created_at": "2025-05-08T01:02:35.345000Z", "data_removed": false, "error": null, "id": "z0cgwmbda5rm80cpnnn90e73y4", "input": { "model": "dev", "prompt": "a realistic photo of MRZACSMITH wearing a straw cowboy hat in a field of flowers", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "9:16", "output_format": "jpg", "guidance_scale": 2.75, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28642354884608\nDownloading weights\n2025-05-08T01:02:35Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3zqupe1y/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\n2025-05-08T01:02:35Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-08T01:02:38Z | INFO | [ Complete ] dest=/tmp/tmp3zqupe1y/weights size=\"172 MB\" total_elapsed=2.963s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar\nDownloaded weights in 2.98s\nLoaded LoRAs in 3.54s\nUsing seed: 12140\nPrompt: a realistic photo of MRZACSMITH wearing a straw cowboy hat in a field of flowers\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.47it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.18it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.05it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.99it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.96it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.94it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.93it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.92it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.91it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.91it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.91it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.91it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.90it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.90it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.90it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.90it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.90it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.89it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.89it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.89it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.89it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.90it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.90it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.90it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.90it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.90it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.90it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.90it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.91it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 11.303323912, "total_time": 11.311878 }, "output": [ "https://replicate.delivery/xezq/frDTySIE2NTjcKixhY3rDZhEof6lxYCfQzkqDB1xFJjtl2UpA/out-0.jpg" ], "started_at": "2025-05-08T01:02:35.353554Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-poij5n2rpspm6js2hzjiwgwzhqwzplat3ijvytzx25oiulppoqsa", "get": "https://api.replicate.com/v1/predictions/z0cgwmbda5rm80cpnnn90e73y4", "cancel": "https://api.replicate.com/v1/predictions/z0cgwmbda5rm80cpnnn90e73y4/cancel" }, "version": "14e80354f1418101a6df9c1d524b51961eb770dfc2ae813eaf04a76ad1c94dca" }Generated infree=28642354884608 Downloading weights 2025-05-08T01:02:35Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3zqupe1y/weights url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar 2025-05-08T01:02:35Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-08T01:02:38Z | INFO | [ Complete ] dest=/tmp/tmp3zqupe1y/weights size="172 MB" total_elapsed=2.963s url=https://replicate.delivery/xezq/phiTJxzNzipEDFWkagGitVvgeXZKsJYwcLpqLwxInWYVMUKKA/trained_model.tar Downloaded weights in 2.98s Loaded LoRAs in 3.54s Using seed: 12140 Prompt: a realistic photo of MRZACSMITH wearing a straw cowboy hat in a field of flowers [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.47it/s] 7%|▋ | 2/28 [00:00<00:06, 4.18it/s] 11%|█ | 3/28 [00:00<00:06, 4.05it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.99it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.96it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.94it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.93it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.92it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.91it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.91it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.91it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.91it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.90it/s] 50%|█████ | 14/28 [00:03<00:03, 3.90it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.90it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.90it/s] 61%|██████ | 17/28 [00:04<00:02, 3.90it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.89it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.89it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.89it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.89it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.90it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.90it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.90it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.90it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.90it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.90it/s] 100%|██████████| 28/28 [00:07<00:00, 3.90it/s] 100%|██████████| 28/28 [00:07<00:00, 3.91it/s] Total safe images: 1 out of 1
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