typetext
ID
216epssc5srmc0cmwjpsam4jt4
Status
Succeeded
Source
Web
Hardware
H100
Total duration
Created
Webhook
–
Input
- prompt
- Tarkin stands by himself in a dimly lit Imperial meeting room, his hands clasped behind his back. The cold, metallic walls are adorned with glowing red control panels
- aspect_ratio
- 21:9default1:1typeenumvalue typestringoptions1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21, custom
- prompt_strength
- 0.8default0.8typenumeric-rangevalue typenumbermaximum1
- model
- devdefaultdevtypeenumvalue typestringoptionsdev, schnell
- num_outputs
- 1default1typenumeric-rangevalue typeintegerminimum1maximum4
- num_inference_steps
- 28default28typenumeric-rangevalue typeintegerminimum1maximum50
- guidance_scale
- 3default3typenumeric-rangevalue typenumbermaximum10
- output_format
- jpgdefaultwebptypeenumvalue typestringoptionswebp, jpg, png
- output_quality
- 80default80typenumeric-rangevalue typeintegermaximum100
- go_fast
- falsetypeboolean
- megapixels
- 1default1typeenumvalue typestringoptions1, 0.25
- lora_scale
- 1default1typenumeric-rangevalue typenumberminimum-1maximum3
- extra_lora_scale
- 1default1typenumeric-rangevalue typenumberminimum-1maximum3
{
"aspect_ratio": "21:9",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "jpg",
"output_quality": 80,
"prompt": " Tarkin stands by himself in a dimly lit Imperial meeting room, his hands clasped behind his back. The cold, metallic walls are adorned with glowing red control panels",
"prompt_strength": 0.8
}Install Replicate’s Node.js client library:
npm install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_ZQ6**********************************
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 swk23/tarkin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"swk23/tarkin:3218987cc037b2ad5595dcf22a237118b7e4858b664c08df97ea6c7588e284f2",
{
input: {
aspect_ratio: "21:9",
extra_lora_scale: 1,
go_fast: false,
guidance_scale: 3,
lora_scale: 1,
megapixels: "1",
model: "dev",
num_inference_steps: 28,
num_outputs: 1,
output_format: "jpg",
output_quality: 80,
prompt: " Tarkin stands by himself in a dimly lit Imperial meeting room, his hands clasped behind his back. The cold, metallic walls are adorned with glowing red control panels",
prompt_strength: 0.8
}
}
);
// 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_ZQ6**********************************
This is your API token. Keep it to yourself.
Import the client:
import replicate
Run swk23/tarkin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"swk23/tarkin:3218987cc037b2ad5595dcf22a237118b7e4858b664c08df97ea6c7588e284f2",
input={
"aspect_ratio": "21:9",
"extra_lora_scale": 1,
"go_fast": False,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "jpg",
"output_quality": 80,
"prompt": " Tarkin stands by himself in a dimly lit Imperial meeting room, his hands clasped behind his back. The cold, metallic walls are adorned with glowing red control panels",
"prompt_strength": 0.8
}
)
# 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_ZQ6**********************************
This is your API token. Keep it to yourself.
Run swk23/tarkin 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": "swk23/tarkin:3218987cc037b2ad5595dcf22a237118b7e4858b664c08df97ea6c7588e284f2",
"input": {
"aspect_ratio": "21:9",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "jpg",
"output_quality": 80,
"prompt": " Tarkin stands by himself in a dimly lit Imperial meeting room, his hands clasped behind his back. The cold, metallic walls are adorned with glowing red control panels",
"prompt_strength": 0.8
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"id": "216epssc5srmc0cmwjpsam4jt4",
"model": "swk23/tarkin",
"version": "3218987cc037b2ad5595dcf22a237118b7e4858b664c08df97ea6c7588e284f2",
"input": {
"aspect_ratio": "21:9",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "jpg",
"output_quality": 80,
"prompt": " Tarkin stands by himself in a dimly lit Imperial meeting room, his hands clasped behind his back. The cold, metallic walls are adorned with glowing red control panels",
"prompt_strength": 0.8
},
"logs": "Weights already loaded\nLoaded LoRAs in 0.02s\nUsing seed: 54347\nPrompt: Tarkin stands by himself in a dimly lit Imperial meeting room, his hands clasped behind his back. The cold, metallic walls are adorned with glowing red control panels\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.33it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.89it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.62it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.50it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.44it/s]\n 21%|██▏ | 6/28 [00:01<00:04, 4.40it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 4.38it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.36it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.35it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.35it/s]\n 39%|███▉ | 11/28 [00:02<00:03, 4.34it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.34it/s]\n 46%|████▋ | 13/28 [00:02<00:03, 4.34it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.33it/s]\n 54%|█████▎ | 15/28 [00:03<00:02, 4.34it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.33it/s]\n 61%|██████ | 17/28 [00:03<00:02, 4.33it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.33it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.33it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.33it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 4.33it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 4.33it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.33it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.33it/s]\n 89%|████████▉ | 25/28 [00:05<00:00, 4.33it/s]\n 93%|█████████▎| 26/28 [00:05<00:00, 4.33it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.33it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.33it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.36it/s]\nTotal safe images: 1 out of 1",
"output": [
"https://replicate.delivery/xezq/Lg2Vv6BoLuYQM5WsEP9VrKU0bYmDwna2B4Akz3yDc8O1HTDF/out-0.jpg"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2025-02-08T08:29:01.87Z",
"started_at": "2025-02-08T08:29:01.87577Z",
"completed_at": "2025-02-08T08:29:08.511865Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/216epssc5srmc0cmwjpsam4jt4/cancel",
"get": "https://api.replicate.com/v1/predictions/216epssc5srmc0cmwjpsam4jt4",
"stream": "https://stream.replicate.com/v1/files/bcwr-nth3vjygtvpsorltpunkpshwpdleyry463yxzyekhszan2g22hpq",
"web": "https://replicate.com/p/216epssc5srmc0cmwjpsam4jt4"
},
"metrics": {
"predict_time": 6.636095516,
"total_time": 6.641865
}
}Generated in
Weights already loaded
Loaded LoRAs in 0.02s
Using seed: 54347
Prompt: Tarkin stands by himself in a dimly lit Imperial meeting room, his hands clasped behind his back. The cold, metallic walls are adorned with glowing red control panels
[!] txt2img mode
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:06, 4.33it/s]
7%|▋ | 2/28 [00:00<00:05, 4.89it/s]
11%|█ | 3/28 [00:00<00:05, 4.62it/s]
14%|█▍ | 4/28 [00:00<00:05, 4.50it/s]
18%|█▊ | 5/28 [00:01<00:05, 4.44it/s]
21%|██▏ | 6/28 [00:01<00:04, 4.40it/s]
25%|██▌ | 7/28 [00:01<00:04, 4.38it/s]
29%|██▊ | 8/28 [00:01<00:04, 4.36it/s]
32%|███▏ | 9/28 [00:02<00:04, 4.35it/s]
36%|███▌ | 10/28 [00:02<00:04, 4.35it/s]
39%|███▉ | 11/28 [00:02<00:03, 4.34it/s]
43%|████▎ | 12/28 [00:02<00:03, 4.34it/s]
46%|████▋ | 13/28 [00:02<00:03, 4.34it/s]
50%|█████ | 14/28 [00:03<00:03, 4.33it/s]
54%|█████▎ | 15/28 [00:03<00:02, 4.34it/s]
57%|█████▋ | 16/28 [00:03<00:02, 4.33it/s]
61%|██████ | 17/28 [00:03<00:02, 4.33it/s]
64%|██████▍ | 18/28 [00:04<00:02, 4.33it/s]
68%|██████▊ | 19/28 [00:04<00:02, 4.33it/s]
71%|███████▏ | 20/28 [00:04<00:01, 4.33it/s]
75%|███████▌ | 21/28 [00:04<00:01, 4.33it/s]
79%|███████▊ | 22/28 [00:05<00:01, 4.33it/s]
82%|████████▏ | 23/28 [00:05<00:01, 4.33it/s]
86%|████████▌ | 24/28 [00:05<00:00, 4.33it/s]
89%|████████▉ | 25/28 [00:05<00:00, 4.33it/s]
93%|█████████▎| 26/28 [00:05<00:00, 4.33it/s]
96%|█████████▋| 27/28 [00:06<00:00, 4.33it/s]
100%|██████████| 28/28 [00:06<00:00, 4.33it/s]
100%|██████████| 28/28 [00:06<00:00, 4.36it/s]
Total safe images: 1 out of 1