lucataco / flux-game-assets
This LoRA was trained with the replicate/fast-flux-trainer
- Public
- 80 runs
-
H100
Prediction
lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23ID19bmkby965rm80cpzttr2nh76wStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- FGAL yellow Excalibur sword, white background, game asset
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "FGAL yellow Excalibur sword, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", { input: { model: "dev", prompt: "FGAL yellow Excalibur sword, white background, game asset", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, 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 replicate
Import the client:import replicate
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", input={ "model": "dev", "prompt": "FGAL yellow Excalibur sword, white background, game asset", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "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 lucataco/flux-game-assets 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": "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", "input": { "model": "dev", "prompt": "FGAL yellow Excalibur sword, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-23T19:54:19.837835Z", "created_at": "2025-05-23T19:54:08.561000Z", "data_removed": false, "error": null, "id": "19bmkby965rm80cpzttr2nh76w", "input": { "model": "dev", "prompt": "FGAL yellow Excalibur sword, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=27430417387520\nDownloading weights\n2025-05-23T19:54:09Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpk7zv1564/weights url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar\n2025-05-23T19:54:09Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-23T19:54:11Z | INFO | [ Complete ] dest=/tmp/tmpk7zv1564/weights size=\"172 MB\" total_elapsed=2.331s url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar\nDownloaded weights in 2.35s\nLoaded LoRAs in 2.87s\nUsing seed: 22838\nPrompt: FGAL yellow Excalibur sword, white background, game asset\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.84it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.35it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.11it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.00it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.95it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.91it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.89it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.87it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.86it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.86it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.85it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.85it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.85it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.85it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.85it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.85it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.85it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.85it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.85it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.85it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.85it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.85it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.85it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.85it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.85it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.88it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 10.340505199, "total_time": 11.276835 }, "output": [ "https://replicate.delivery/xezq/WrfLjrdyeisIrk51HXG1En3bLWkD9d6iUJHPa5jUcZvrRovUA/out-0.webp" ], "started_at": "2025-05-23T19:54:09.497330Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-zhjdeekjjfnrm2xf7tr2f5vqbljz5wgoavv2z3msjo3bqhabtdkq", "get": "https://api.replicate.com/v1/predictions/19bmkby965rm80cpzttr2nh76w", "cancel": "https://api.replicate.com/v1/predictions/19bmkby965rm80cpzttr2nh76w/cancel" }, "version": "2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23" }
Generated infree=27430417387520 Downloading weights 2025-05-23T19:54:09Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpk7zv1564/weights url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar 2025-05-23T19:54:09Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-23T19:54:11Z | INFO | [ Complete ] dest=/tmp/tmpk7zv1564/weights size="172 MB" total_elapsed=2.331s url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar Downloaded weights in 2.35s Loaded LoRAs in 2.87s Using seed: 22838 Prompt: FGAL yellow Excalibur sword, white background, game asset [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.84it/s] 7%|▋ | 2/28 [00:00<00:05, 4.35it/s] 11%|█ | 3/28 [00:00<00:06, 4.11it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.00it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.95it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.91it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.89it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.87it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.86it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.86it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s] 50%|█████ | 14/28 [00:03<00:03, 3.85it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.85it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.85it/s] 61%|██████ | 17/28 [00:04<00:02, 3.85it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.85it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.85it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.85it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.85it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.85it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.85it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.85it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.85it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.85it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.85it/s] 100%|██████████| 28/28 [00:07<00:00, 3.85it/s] 100%|██████████| 28/28 [00:07<00:00, 3.88it/s] Total safe images: 1 out of 1
Prediction
lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23ID688qj7v60xrmc0cpztvahfh5arStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- FGAL healing crystal, white background, game asset
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "FGAL healing crystal, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", { input: { model: "dev", prompt: "FGAL healing crystal, white background, game asset", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, 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 replicate
Import the client:import replicate
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", input={ "model": "dev", "prompt": "FGAL healing crystal, white background, game asset", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "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 lucataco/flux-game-assets 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": "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", "input": { "model": "dev", "prompt": "FGAL healing crystal, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-23T19:54:59.654695Z", "created_at": "2025-05-23T19:54:48.711000Z", "data_removed": false, "error": null, "id": "688qj7v60xrmc0cpztvahfh5ar", "input": { "model": "dev", "prompt": "FGAL healing crystal, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=27086045528064\nDownloading weights\n2025-05-23T19:54:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpa9yr_ptw/weights url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar\n2025-05-23T19:54:48Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-23T19:54:51Z | INFO | [ Complete ] dest=/tmp/tmpa9yr_ptw/weights size=\"172 MB\" total_elapsed=2.863s url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar\nDownloaded weights in 2.88s\nLoaded LoRAs in 3.40s\nUsing seed: 13164\nPrompt: FGAL healing crystal, white background, game asset\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.81it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.33it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.09it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 3.98it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.93it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.89it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.87it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.86it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.85it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.84it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.84it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.84it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.83it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.83it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.83it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.83it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.83it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.83it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.83it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.83it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.83it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.83it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.83it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.83it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.83it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.83it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.83it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.86it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 10.915157712, "total_time": 10.943695 }, "output": [ "https://replicate.delivery/xezq/F0HJAVHJHU7sL9tGeWPleye4gS0jDZFdSIYKIWk5Vm7mkQfSB/out-0.webp" ], "started_at": "2025-05-23T19:54:48.739537Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-uphchkolmeiamjvsbpqhtznjktsrj7vxxux76kerd4ltjnmpawqa", "get": "https://api.replicate.com/v1/predictions/688qj7v60xrmc0cpztvahfh5ar", "cancel": "https://api.replicate.com/v1/predictions/688qj7v60xrmc0cpztvahfh5ar/cancel" }, "version": "2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23" }
Generated infree=27086045528064 Downloading weights 2025-05-23T19:54:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpa9yr_ptw/weights url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar 2025-05-23T19:54:48Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-23T19:54:51Z | INFO | [ Complete ] dest=/tmp/tmpa9yr_ptw/weights size="172 MB" total_elapsed=2.863s url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar Downloaded weights in 2.88s Loaded LoRAs in 3.40s Using seed: 13164 Prompt: FGAL healing crystal, white background, game asset [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.81it/s] 7%|▋ | 2/28 [00:00<00:06, 4.33it/s] 11%|█ | 3/28 [00:00<00:06, 4.09it/s] 14%|█▍ | 4/28 [00:00<00:06, 3.98it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.93it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.89it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.87it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.86it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.85it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.84it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.84it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.84it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.83it/s] 50%|█████ | 14/28 [00:03<00:03, 3.83it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.83it/s] 61%|██████ | 17/28 [00:04<00:02, 3.83it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.83it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.83it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.83it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.83it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.83it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.83it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.83it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.83it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.83it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.83it/s] 100%|██████████| 28/28 [00:07<00:00, 3.83it/s] 100%|██████████| 28/28 [00:07<00:00, 3.86it/s] Total safe images: 1 out of 1
Prediction
lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23IDkahvm7pzndrmc0cpztvabdtf5mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- FGAL knight helmet, white background, game asset
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "FGAL knight helmet, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", { input: { model: "dev", prompt: "FGAL knight helmet, white background, game asset", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, 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 replicate
Import the client:import replicate
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", input={ "model": "dev", "prompt": "FGAL knight helmet, white background, game asset", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "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 lucataco/flux-game-assets 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": "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", "input": { "model": "dev", "prompt": "FGAL knight helmet, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-23T19:55:32.132685Z", "created_at": "2025-05-23T19:55:19.851000Z", "data_removed": false, "error": null, "id": "kahvm7pzndrmc0cpztvabdtf5m", "input": { "model": "dev", "prompt": "FGAL knight helmet, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=27194478153728\nDownloading weights\n2025-05-23T19:55:20Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpskxoqi9y/weights url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar\n2025-05-23T19:55:20Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-23T19:55:24Z | INFO | [ Complete ] dest=/tmp/tmpskxoqi9y/weights size=\"172 MB\" total_elapsed=3.334s url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar\nDownloaded weights in 3.36s\nLoaded LoRAs in 3.89s\nUsing seed: 55877\nPrompt: FGAL knight helmet, white background, game asset\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.81it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.32it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.07it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 3.97it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.91it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.87it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.85it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.84it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.83it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.82it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.82it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.81it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.81it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.81it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.81it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.81it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.81it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.81it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.81it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.81it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.81it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.81it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.81it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.81it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.81it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.81it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.81it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.81it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.84it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 11.449265315, "total_time": 12.281685 }, "output": [ "https://replicate.delivery/xezq/WffoWGNhtNuy7Ue1RbtbaI8hredbVfJyOcSdCWhdzdEnWC9lC/out-0.webp" ], "started_at": "2025-05-23T19:55:20.683420Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-nf4sbczrwh75u54vj6y5zblbcawvtsxe4bwn7zfxwak4gw2tqpha", "get": "https://api.replicate.com/v1/predictions/kahvm7pzndrmc0cpztvabdtf5m", "cancel": "https://api.replicate.com/v1/predictions/kahvm7pzndrmc0cpztvabdtf5m/cancel" }, "version": "2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23" }
Generated infree=27194478153728 Downloading weights 2025-05-23T19:55:20Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpskxoqi9y/weights url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar 2025-05-23T19:55:20Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-23T19:55:24Z | INFO | [ Complete ] dest=/tmp/tmpskxoqi9y/weights size="172 MB" total_elapsed=3.334s url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar Downloaded weights in 3.36s Loaded LoRAs in 3.89s Using seed: 55877 Prompt: FGAL knight helmet, white background, game asset [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.81it/s] 7%|▋ | 2/28 [00:00<00:06, 4.32it/s] 11%|█ | 3/28 [00:00<00:06, 4.07it/s] 14%|█▍ | 4/28 [00:00<00:06, 3.97it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.91it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.87it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.85it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.84it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.83it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.82it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.82it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.81it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.81it/s] 50%|█████ | 14/28 [00:03<00:03, 3.81it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.81it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.81it/s] 61%|██████ | 17/28 [00:04<00:02, 3.81it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.81it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.81it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.81it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.81it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.81it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.81it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.81it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.81it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.81it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.81it/s] 100%|██████████| 28/28 [00:07<00:00, 3.81it/s] 100%|██████████| 28/28 [00:07<00:00, 3.84it/s] Total safe images: 1 out of 1
Prediction
lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23ID8famxghvwnrmc0cpztvstk9jt8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- FGAL treasure chest, white background, game asset
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "FGAL treasure chest, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", { input: { model: "dev", prompt: "FGAL treasure chest, white background, game asset", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, 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 replicate
Import the client:import replicate
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", input={ "model": "dev", "prompt": "FGAL treasure chest, white background, game asset", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "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 lucataco/flux-game-assets 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": "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", "input": { "model": "dev", "prompt": "FGAL treasure chest, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-23T19:55:53.321806Z", "created_at": "2025-05-23T19:55:43.461000Z", "data_removed": false, "error": null, "id": "8famxghvwnrmc0cpztvstk9jt8", "input": { "model": "dev", "prompt": "FGAL treasure chest, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.72s\nUsing seed: 29325\nPrompt: FGAL treasure chest, white background, game asset\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.84it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.35it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.10it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 3.99it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.92it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.88it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.87it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.85it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.84it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.83it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.83it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.82it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.82it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.82it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.82it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.82it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.82it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.82it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.82it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.82it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.82it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.82it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.82it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.82it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.82it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.82it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.82it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.85it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 8.245105594, "total_time": 9.860806 }, "output": [ "https://replicate.delivery/xezq/NaevpZS5TcW5cKL9GmdteF3uFidjv2QB1JGyKZrD8EuJTovUA/out-0.webp" ], "started_at": "2025-05-23T19:55:45.076700Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-wkc2hgrkaw6zhyrgky2imjenuzbat7egaiefjhqog25wtqm7pzfa", "get": "https://api.replicate.com/v1/predictions/8famxghvwnrmc0cpztvstk9jt8", "cancel": "https://api.replicate.com/v1/predictions/8famxghvwnrmc0cpztvstk9jt8/cancel" }, "version": "2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23" }
Generated inLoaded LoRAs in 0.72s Using seed: 29325 Prompt: FGAL treasure chest, white background, game asset [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.84it/s] 7%|▋ | 2/28 [00:00<00:05, 4.35it/s] 11%|█ | 3/28 [00:00<00:06, 4.10it/s] 14%|█▍ | 4/28 [00:00<00:06, 3.99it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.92it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.88it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.87it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.85it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.84it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.83it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.83it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.82it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.82it/s] 50%|█████ | 14/28 [00:03<00:03, 3.82it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.82it/s] 61%|██████ | 17/28 [00:04<00:02, 3.82it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.82it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.82it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.82it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.82it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.82it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.82it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.82it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.82it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.82it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.82it/s] 100%|██████████| 28/28 [00:07<00:00, 3.82it/s] 100%|██████████| 28/28 [00:07<00:00, 3.85it/s] Total safe images: 1 out of 1
Prediction
lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23ID0bqn0b5c2hrme0cpztvvhje33mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- FGAL blue mana orb, white background, game asset
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "FGAL blue mana orb, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", { input: { model: "dev", prompt: "FGAL blue mana orb, white background, game asset", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, 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 replicate
Import the client:import replicate
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", input={ "model": "dev", "prompt": "FGAL blue mana orb, white background, game asset", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "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 lucataco/flux-game-assets 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": "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", "input": { "model": "dev", "prompt": "FGAL blue mana orb, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-23T19:56:21.797401Z", "created_at": "2025-05-23T19:56:12.180000Z", "data_removed": false, "error": null, "id": "0bqn0b5c2hrme0cpztvvhje33m", "input": { "model": "dev", "prompt": "FGAL blue mana orb, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.67s\nUsing seed: 25259\nPrompt: FGAL blue mana orb, white background, game asset\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.81it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.29it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.07it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 3.97it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.92it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.88it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.86it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.85it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.84it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.83it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.83it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.83it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.83it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.83it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.82it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.82it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.82it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.82it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.82it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.82it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.82it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.82it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.82it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.82it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.82it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.82it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.82it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.83it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.85it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 8.259578424, "total_time": 9.617401 }, "output": [ "https://replicate.delivery/xezq/pzxYZ1g4w6Y6BBbHXJVnrfXf8PjI8B3THYt9B3sbe4MLnQfSB/out-0.webp" ], "started_at": "2025-05-23T19:56:13.537823Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-kkuqxiparsjuw7ieuwx2bnq45tr522qocoufladqxyzctmsxtj2q", "get": "https://api.replicate.com/v1/predictions/0bqn0b5c2hrme0cpztvvhje33m", "cancel": "https://api.replicate.com/v1/predictions/0bqn0b5c2hrme0cpztvvhje33m/cancel" }, "version": "2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23" }
Generated inLoaded LoRAs in 0.67s Using seed: 25259 Prompt: FGAL blue mana orb, white background, game asset [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.81it/s] 7%|▋ | 2/28 [00:00<00:06, 4.29it/s] 11%|█ | 3/28 [00:00<00:06, 4.07it/s] 14%|█▍ | 4/28 [00:00<00:06, 3.97it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.92it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.88it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.86it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.85it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.84it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.83it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.83it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.83it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.83it/s] 50%|█████ | 14/28 [00:03<00:03, 3.83it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.82it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.82it/s] 61%|██████ | 17/28 [00:04<00:02, 3.82it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.82it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.82it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.82it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.82it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.82it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.82it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.82it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.82it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.82it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.82it/s] 100%|██████████| 28/28 [00:07<00:00, 3.83it/s] 100%|██████████| 28/28 [00:07<00:00, 3.85it/s] Total safe images: 1 out of 1
Prediction
lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23IDgspd5z8cx5rmc0cpztx9xwmf4mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- FGAL spell book, white background, game asset
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "FGAL spell book, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", { input: { model: "dev", prompt: "FGAL spell book, white background, game asset", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, 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 replicate
Import the client:import replicate
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", input={ "model": "dev", "prompt": "FGAL spell book, white background, game asset", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "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 lucataco/flux-game-assets 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": "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", "input": { "model": "dev", "prompt": "FGAL spell book, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-23T19:59:00.720203Z", "created_at": "2025-05-23T19:58:48.041000Z", "data_removed": false, "error": null, "id": "gspd5z8cx5rmc0cpztx9xwmf4m", "input": { "model": "dev", "prompt": "FGAL spell book, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=27073232883712\nDownloading weights\n2025-05-23T19:58:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpeifn6g5x/weights url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar\n2025-05-23T19:58:48Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-23T19:58:52Z | INFO | [ Complete ] dest=/tmp/tmpeifn6g5x/weights size=\"172 MB\" total_elapsed=4.540s url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar\nDownloaded weights in 4.56s\nLoaded LoRAs in 5.14s\nUsing seed: 8187\nPrompt: FGAL spell book, white background, game asset\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.80it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.31it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.08it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 3.98it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.92it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.89it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.87it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.86it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.85it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.84it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.84it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.84it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.83it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.83it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.83it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.83it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.83it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.83it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.83it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.83it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.83it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.83it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.83it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.83it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.83it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.83it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.83it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.85it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 12.66747664, "total_time": 12.679203 }, "output": [ "https://replicate.delivery/xezq/PybkDEAn0TYGDhr3fRehIIJUGwWBTjcYRJnZzCGY0kqEWovUA/out-0.webp" ], "started_at": "2025-05-23T19:58:48.052726Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-n7yla2x3dod73ghr45rqfnmg3vpd6hreb6gavfukfdbdayrpwqsa", "get": "https://api.replicate.com/v1/predictions/gspd5z8cx5rmc0cpztx9xwmf4m", "cancel": "https://api.replicate.com/v1/predictions/gspd5z8cx5rmc0cpztx9xwmf4m/cancel" }, "version": "2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23" }
Generated infree=27073232883712 Downloading weights 2025-05-23T19:58:48Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpeifn6g5x/weights url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar 2025-05-23T19:58:48Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-23T19:58:52Z | INFO | [ Complete ] dest=/tmp/tmpeifn6g5x/weights size="172 MB" total_elapsed=4.540s url=https://replicate.delivery/xezq/LOsJ4fY9XS1YZau6CpvlfrrLnfCwkABxTGLIMUDAWRVpMQfSB/flux-lora.tar Downloaded weights in 4.56s Loaded LoRAs in 5.14s Using seed: 8187 Prompt: FGAL spell book, white background, game asset [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.80it/s] 7%|▋ | 2/28 [00:00<00:06, 4.31it/s] 11%|█ | 3/28 [00:00<00:06, 4.08it/s] 14%|█▍ | 4/28 [00:00<00:06, 3.98it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.92it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.89it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.87it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.86it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.85it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.84it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.84it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.84it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.83it/s] 50%|█████ | 14/28 [00:03<00:03, 3.83it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.83it/s] 61%|██████ | 17/28 [00:04<00:02, 3.83it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.83it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.83it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.83it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.83it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.83it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.83it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.83it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.83it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.83it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.83it/s] 100%|██████████| 28/28 [00:07<00:00, 3.83it/s] 100%|██████████| 28/28 [00:07<00:00, 3.85it/s] Total safe images: 1 out of 1
Prediction
lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23IDkpcme4mm35rme0cpztxbhcrb50StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- FGAL health potion, white background, game asset
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "FGAL health potion, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", { input: { model: "dev", prompt: "FGAL health potion, white background, game asset", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, 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 replicate
Import the client:import replicate
Run lucataco/flux-game-assets using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", input={ "model": "dev", "prompt": "FGAL health potion, white background, game asset", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "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 lucataco/flux-game-assets 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": "lucataco/flux-game-assets:2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23", "input": { "model": "dev", "prompt": "FGAL health potion, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-23T19:59:30.792713Z", "created_at": "2025-05-23T19:59:22.649000Z", "data_removed": false, "error": null, "id": "kpcme4mm35rme0cpztxbhcrb50", "input": { "model": "dev", "prompt": "FGAL health potion, white background, game asset", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.52s\nUsing seed: 15518\nPrompt: FGAL health potion, white background, game asset\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.81it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.33it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.09it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 3.98it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.93it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.89it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.87it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.86it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.85it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.84it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.84it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.84it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.84it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.83it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.83it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.83it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.83it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.83it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.83it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.83it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.83it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.83it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.83it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.83it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.83it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.83it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.83it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.86it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 8.025825022, "total_time": 8.143713 }, "output": [ "https://replicate.delivery/xezq/nmA05fb2EUwuGa2QXymmeiu2hFaQjpkF066hzeiXfEPLahelC/out-0.webp" ], "started_at": "2025-05-23T19:59:22.766888Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-oiu4dnk5yzi3ult5juskrumj43g73vy5dvh3echbnwwtmvbypr6a", "get": "https://api.replicate.com/v1/predictions/kpcme4mm35rme0cpztxbhcrb50", "cancel": "https://api.replicate.com/v1/predictions/kpcme4mm35rme0cpztxbhcrb50/cancel" }, "version": "2968f90319821245e410fbc2b35de562a3bb9e8a937d0426e548d65c6e2d9b23" }
Generated inLoaded LoRAs in 0.52s Using seed: 15518 Prompt: FGAL health potion, white background, game asset [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.81it/s] 7%|▋ | 2/28 [00:00<00:06, 4.33it/s] 11%|█ | 3/28 [00:00<00:06, 4.09it/s] 14%|█▍ | 4/28 [00:00<00:06, 3.98it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.93it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.89it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.87it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.86it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.85it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.84it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.84it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.84it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.84it/s] 50%|█████ | 14/28 [00:03<00:03, 3.83it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.83it/s] 61%|██████ | 17/28 [00:04<00:02, 3.83it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.83it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.83it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.83it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.83it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.83it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.83it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.83it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.83it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.83it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.83it/s] 100%|██████████| 28/28 [00:07<00:00, 3.83it/s] 100%|██████████| 28/28 [00:07<00:00, 3.86it/s] Total safe images: 1 out of 1
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