typetext
ID
tszgz2kx7nrm40chdtgbzakewr
Status
Succeeded
Source
Web
Hardware
H100
Total duration
Created
Webhook
–
Input
- prompt
- red car driving, blue sky in the style of TOK
- aspect_ratio
- 1:1default1:1typeenumvalue typestringoptions1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21, custom
- model
- devdefaultdevtypeenumvalue typestringoptionsdev, schnell
- num_outputs
- 1default1typenumeric-rangevalue typeintegerminimum1maximum4
- num_inference_steps
- 28default28typenumeric-rangevalue typeintegerminimum1maximum50
- guidance_scale
- 3.5default3typenumeric-rangevalue typenumbermaximum10
- output_format
- webpdefaultwebptypeenumvalue typestringoptionswebp, jpg, png
- output_quality
- 80default80typenumeric-rangevalue typeintegermaximum100
- lora_scale
- 1default1typenumeric-rangevalue typenumberminimum-1maximum3
{
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "red car driving, blue sky in the style of TOK"
}Install Replicate’s Node.js client library:
npm install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_DAv**********************************
This is your API token. Keep it to yourself.
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 shapestudio/floating-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"shapestudio/floating-flux:aa10ada41ecbcb01fde7f496f95ae9ad431d474f24d493353be5982b33058b6d",
{
input: {
aspect_ratio: "1:1",
guidance_scale: 3.5,
lora_scale: 1,
model: "dev",
num_inference_steps: 28,
num_outputs: 1,
output_format: "webp",
output_quality: 80,
prompt: "red car driving, blue sky in the style of TOK"
}
}
);
// 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
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_DAv**********************************
This is your API token. Keep it to yourself.
Import the client:
import replicate
Run shapestudio/floating-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"shapestudio/floating-flux:aa10ada41ecbcb01fde7f496f95ae9ad431d474f24d493353be5982b33058b6d",
input={
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "red car driving, blue sky in the style of TOK"
}
)
# 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.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_DAv**********************************
This is your API token. Keep it to yourself.
Run shapestudio/floating-flux 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": "shapestudio/floating-flux:aa10ada41ecbcb01fde7f496f95ae9ad431d474f24d493353be5982b33058b6d",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "red car driving, blue sky in the style of TOK"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"id": "tszgz2kx7nrm40chdtgbzakewr",
"model": "shapestudio/floating-flux",
"version": "aa10ada41ecbcb01fde7f496f95ae9ad431d474f24d493353be5982b33058b6d",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "red car driving, blue sky in the style of TOK"
},
"logs": "Using seed: 55961\nPrompt: red car driving, blue sky in the style of 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<00:07, 3.67it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.22it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.96it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.85it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.78it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.74it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.72it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.71it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.70it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.69it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.68it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.68it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.69it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.68it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.68it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.68it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.68it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.68it/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, 3.68it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.68it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.68it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.68it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.71it/s]",
"output": [
"https://replicate.delivery/yhqm/NeK1XWJ1sCyMOiwcNlFf9iDAai0uAOkd2p8n5KiTeiSre8RNB/out-0.webp"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-08-20T07:11:37.277Z",
"started_at": "2024-08-20T07:12:04.295976Z",
"completed_at": "2024-08-20T07:12:21.588151Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/tszgz2kx7nrm40chdtgbzakewr/cancel",
"get": "https://api.replicate.com/v1/predictions/tszgz2kx7nrm40chdtgbzakewr",
"web": "https://replicate.com/p/tszgz2kx7nrm40chdtgbzakewr"
},
"metrics": {
"predict_time": 17.292174517,
"total_time": 44.311151
}
}Generated in
Using seed: 55961
Prompt: red car driving, blue sky in the style of 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<00:07, 3.67it/s]
7%|▋ | 2/28 [00:00<00:06, 4.22it/s]
11%|█ | 3/28 [00:00<00:06, 3.96it/s]
14%|█▍ | 4/28 [00:01<00:06, 3.85it/s]
18%|█▊ | 5/28 [00:01<00:06, 3.78it/s]
21%|██▏ | 6/28 [00:01<00:05, 3.74it/s]
25%|██▌ | 7/28 [00:01<00:05, 3.72it/s]
29%|██▊ | 8/28 [00:02<00:05, 3.71it/s]
32%|███▏ | 9/28 [00:02<00:05, 3.70it/s]
36%|███▌ | 10/28 [00:02<00:04, 3.69it/s]
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