levelsio
/
brain-flakes-ai
Generate your own Brain Flakes with AI
- Public
- 94 runs
-
H100
Prediction
levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012aID351xfsc2b5rm00chbhnrhgbg8cStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- The image shows a model of a globe constructed using “Brain Flakes” TOK
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "The image shows a model of a globe constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run levelsio/brain-flakes-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", { input: { model: "dev", prompt: "The image shows a model of a globe constructed using “Brain Flakes” TOK", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, 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 levelsio/brain-flakes-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", input={ "model": "dev", "prompt": "The image shows a model of a globe constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run levelsio/brain-flakes-ai 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": "9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", "input": { "model": "dev", "prompt": "The image shows a model of a globe constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-16T18:23:09.396931Z", "created_at": "2024-08-16T18:20:35.289000Z", "data_removed": false, "error": null, "id": "351xfsc2b5rm00chbhnrhgbg8c", "input": { "model": "dev", "prompt": "The image shows a model of a globe constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 48444\nPrompt: The image shows a model of a globe constructed using “Brain Flakes” TOK\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9413750726656\nDownloading weights: https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar\n2024-08-16T18:22:48Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/a6e1a657a4411bed url=https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar\n2024-08-16T18:22:50Z | INFO | [ Complete ] dest=/src/weights-cache/a6e1a657a4411bed size=\"172 MB\" total_elapsed=1.899s url=https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar\nb''\nDownloaded weights in 1.9278862476348877 seconds\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:09, 2.92it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.77it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.73it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.71it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.70it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.69it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.68it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.68it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.67it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.67it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.67it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.67it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.67it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.67it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.67it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.67it/s]", "metrics": { "predict_time": 20.587971096, "total_time": 154.107931 }, "output": [ "https://replicate.delivery/yhqm/wbuOXxnMuGLBARHqC3YbLKYeyogRQLcO6dINqfOFZNRNsUTTA/out-0.jpg" ], "started_at": "2024-08-16T18:22:48.808960Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/351xfsc2b5rm00chbhnrhgbg8c", "cancel": "https://api.replicate.com/v1/predictions/351xfsc2b5rm00chbhnrhgbg8c/cancel" }, "version": "9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a" }Generated inUsing seed: 48444 Prompt: The image shows a model of a globe constructed using “Brain Flakes” TOK txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9413750726656 Downloading weights: https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar 2024-08-16T18:22:48Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/a6e1a657a4411bed url=https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar 2024-08-16T18:22:50Z | INFO | [ Complete ] dest=/src/weights-cache/a6e1a657a4411bed size="172 MB" total_elapsed=1.899s url=https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar b'' Downloaded weights in 1.9278862476348877 seconds LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:09, 2.92it/s] 7%|▋ | 2/28 [00:00<00:06, 3.77it/s] 11%|█ | 3/28 [00:00<00:06, 3.73it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.71it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.70it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.69it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.68it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.68it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.67it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.67it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s] 50%|█████ | 14/28 [00:03<00:03, 3.67it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s] 61%|██████ | 17/28 [00:04<00:02, 3.67it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.67it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.67it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.67it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.67it/s]Prediction
levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012aIDxttwwe9q79rm40chbhsbpvq4yrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- The image shows a human head constructed using “Brain Flakes” TOK
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "The image shows a human head constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run levelsio/brain-flakes-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", { input: { model: "dev", prompt: "The image shows a human head constructed using “Brain Flakes” TOK", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, 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 levelsio/brain-flakes-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", input={ "model": "dev", "prompt": "The image shows a human head constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run levelsio/brain-flakes-ai 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": "9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", "input": { "model": "dev", "prompt": "The image shows a human head constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-16T18:31:37.223226Z", "created_at": "2024-08-16T18:27:54.810000Z", "data_removed": false, "error": null, "id": "xttwwe9q79rm40chbhsbpvq4yr", "input": { "model": "dev", "prompt": "The image shows a human head constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 40298\nPrompt: The image shows a human head constructed using “Brain Flakes” TOK\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9611052929024\nDownloading weights: https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar\n2024-08-16T18:31:17Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/a6e1a657a4411bed url=https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar\n2024-08-16T18:31:19Z | INFO | [ Complete ] dest=/src/weights-cache/a6e1a657a4411bed size=\"172 MB\" total_elapsed=1.981s url=https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar\nb''\nDownloaded weights in 2.012627363204956 seconds\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:09, 2.94it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.79it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.73it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.71it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.70it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.69it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.69it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.67it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.67it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.68it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.67it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.68it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.67it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.67it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.68it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.68it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.68it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.68it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.68it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.67it/s]", "metrics": { "predict_time": 20.068037855, "total_time": 222.413226 }, "output": [ "https://replicate.delivery/yhqm/qSJi9uoRHwKtCdHtERe9JJOQSypaMlxRxSVxQFF4JWlEaqpJA/out-0.jpg" ], "started_at": "2024-08-16T18:31:17.155188Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xttwwe9q79rm40chbhsbpvq4yr", "cancel": "https://api.replicate.com/v1/predictions/xttwwe9q79rm40chbhsbpvq4yr/cancel" }, "version": "9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a" }Generated inUsing seed: 40298 Prompt: The image shows a human head constructed using “Brain Flakes” TOK txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9611052929024 Downloading weights: https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar 2024-08-16T18:31:17Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/a6e1a657a4411bed url=https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar 2024-08-16T18:31:19Z | INFO | [ Complete ] dest=/src/weights-cache/a6e1a657a4411bed size="172 MB" total_elapsed=1.981s url=https://replicate.delivery/yhqm/KJfUfzqtaBpvAEaD5qHRUkeSSJkioKt46pdbxmhVofp7FQNNB/trained_model.tar b'' Downloaded weights in 2.012627363204956 seconds LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:09, 2.94it/s] 7%|▋ | 2/28 [00:00<00:06, 3.79it/s] 11%|█ | 3/28 [00:00<00:06, 3.73it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.71it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.70it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.69it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.69it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.67it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.67it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s] 50%|█████ | 14/28 [00:03<00:03, 3.68it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s] 61%|██████ | 17/28 [00:04<00:02, 3.67it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.68it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.67it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.67it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.68it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.68it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.68it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.68it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.68it/s] 100%|██████████| 28/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.67it/s]Prediction
levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012aIDk4mmqp857hrm20chbhvrsnh0hwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- The image shows an American flag constructed using “Brain Flakes” TOK
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 3:2
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "The image shows an American flag constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run levelsio/brain-flakes-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", { input: { model: "dev", prompt: "The image shows an American flag constructed using “Brain Flakes” TOK", lora_scale: 1, num_outputs: 1, aspect_ratio: "3:2", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, 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 levelsio/brain-flakes-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", input={ "model": "dev", "prompt": "The image shows an American flag constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run levelsio/brain-flakes-ai 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": "9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", "input": { "model": "dev", "prompt": "The image shows an American flag constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-16T18:33:17.560701Z", "created_at": "2024-08-16T18:33:09.692000Z", "data_removed": false, "error": null, "id": "k4mmqp857hrm20chbhvrsnh0hw", "input": { "model": "dev", "prompt": "The image shows an American flag constructed using “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 60249\nPrompt: The image shows an American flag constructed using “Brain Flakes” TOK\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.79it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.35it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.07it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 3.95it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.88it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.85it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.83it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.81it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.80it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.80it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.79it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.78it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.78it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.78it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.78it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.77it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.78it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.78it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.78it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.78it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.77it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.77it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.81it/s]", "metrics": { "predict_time": 7.832106273, "total_time": 7.868701 }, "output": [ "https://replicate.delivery/yhqm/oYNJLlEOYk66CdGuUgiI4UUBKZq4n9HgO1Jh34tNbTTbN10E/out-0.jpg" ], "started_at": "2024-08-16T18:33:09.728595Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/k4mmqp857hrm20chbhvrsnh0hw", "cancel": "https://api.replicate.com/v1/predictions/k4mmqp857hrm20chbhvrsnh0hw/cancel" }, "version": "9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a" }Generated inUsing seed: 60249 Prompt: The image shows an American flag constructed using “Brain Flakes” TOK txt2img mode Using dev model Loading LoRA weights weights already loaded! 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.79it/s] 7%|▋ | 2/28 [00:00<00:05, 4.35it/s] 11%|█ | 3/28 [00:00<00:06, 4.07it/s] 14%|█▍ | 4/28 [00:00<00:06, 3.95it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.88it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.85it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.83it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.81it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.80it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.80it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.79it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.78it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.78it/s] 50%|█████ | 14/28 [00:03<00:03, 3.78it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.78it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s] 61%|██████ | 17/28 [00:04<00:02, 3.77it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.78it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.78it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.78it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.78it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.77it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.77it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.81it/s]Prediction
levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012aIDedh5cfcvc9rm20chbhwtpz4rs0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- The image shows a American flag made with “Brain Flakes” TOK
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 3:2
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "The image shows a American flag made with “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run levelsio/brain-flakes-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", { input: { model: "dev", prompt: "The image shows a American flag made with “Brain Flakes” TOK", lora_scale: 1, num_outputs: 1, aspect_ratio: "3:2", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, 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 levelsio/brain-flakes-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "levelsio/brain-flakes-ai:9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", input={ "model": "dev", "prompt": "The image shows a American flag made with “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run levelsio/brain-flakes-ai 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": "9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a", "input": { "model": "dev", "prompt": "The image shows a American flag made with “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-16T18:36:15.951739Z", "created_at": "2024-08-16T18:35:59.202000Z", "data_removed": false, "error": null, "id": "edh5cfcvc9rm20chbhwtpz4rs0", "input": { "model": "dev", "prompt": "The image shows a American flag made with “Brain Flakes” TOK", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 35514\nPrompt: The image shows a American flag made with “Brain Flakes” TOK\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:08, 3.00it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.86it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.83it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.81it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.79it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.79it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.79it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.78it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.78it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.78it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.78it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.78it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.78it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.78it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.78it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.78it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.78it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.78it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.78it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.78it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.78it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]", "metrics": { "predict_time": 16.717246159, "total_time": 16.749739 }, "output": [ "https://replicate.delivery/yhqm/749nSeAHOftkmUcKmuwpD1IALxjwiub8iQQPMfiLXvpehTNNB/out-0.jpg" ], "started_at": "2024-08-16T18:35:59.234492Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/edh5cfcvc9rm20chbhwtpz4rs0", "cancel": "https://api.replicate.com/v1/predictions/edh5cfcvc9rm20chbhwtpz4rs0/cancel" }, "version": "9992e4fff3073581af66113e72a40ab6f8cd02a121a7b093a5dccf65447e012a" }Generated inUsing seed: 35514 Prompt: The image shows a American flag made with “Brain Flakes” TOK txt2img mode Using dev model Loading LoRA weights LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.00it/s] 7%|▋ | 2/28 [00:00<00:06, 3.86it/s] 11%|█ | 3/28 [00:00<00:06, 3.83it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.81it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.79it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.79it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.79it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.78it/s] 50%|█████ | 14/28 [00:03<00:03, 3.78it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.78it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.78it/s] 61%|██████ | 17/28 [00:04<00:02, 3.78it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.78it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.78it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.78it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.78it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.78it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.78it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.78it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.78it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.78it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s]
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