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bytedance /sdxl-lightning-4step:5599ed30
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run bytedance/sdxl-lightning-4step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"bytedance/sdxl-lightning-4step:5599ed30703defd1d160a25a63321b4dec97101d98b4674bcc56e41f62f35637",
{
input: {
width: 1024,
height: 1024,
prompt: "self-portrait of a woman, lightning in the background",
scheduler: "K_EULER",
num_outputs: 1,
guidance_scale: 0,
negative_prompt: "worst quality, low quality",
num_inference_steps: 4
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run bytedance/sdxl-lightning-4step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"bytedance/sdxl-lightning-4step:5599ed30703defd1d160a25a63321b4dec97101d98b4674bcc56e41f62f35637",
input={
"width": 1024,
"height": 1024,
"prompt": "self-portrait of a woman, lightning in the background",
"scheduler": "K_EULER",
"num_outputs": 1,
"guidance_scale": 0,
"negative_prompt": "worst quality, low quality",
"num_inference_steps": 4
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run bytedance/sdxl-lightning-4step 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": "5599ed30703defd1d160a25a63321b4dec97101d98b4674bcc56e41f62f35637",
"input": {
"width": 1024,
"height": 1024,
"prompt": "self-portrait of a woman, lightning in the background",
"scheduler": "K_EULER",
"num_outputs": 1,
"guidance_scale": 0,
"negative_prompt": "worst quality, low quality",
"num_inference_steps": 4
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
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Output
{
"completed_at": "2024-09-16T18:46:27.608958Z",
"created_at": "2024-09-16T18:46:26.656000Z",
"data_removed": false,
"error": null,
"id": "p8y2bvajc1rj20chzgmbw5qvxw",
"input": {
"width": 1024,
"height": 1024,
"prompt": "self-portrait of a woman, lightning in the background",
"scheduler": "K_EULER",
"num_outputs": 1,
"guidance_scale": 0,
"negative_prompt": "worst quality, low quality",
"num_inference_steps": 4
},
"logs": "Using seed: 139922051\nPrompt: self-portrait of a woman, lightning in the background\n 0%| | 0/4 [00:00<?, ?it/s]\n 50%|█████ | 2/4 [00:00<00:00, 19.11it/s]\n100%|██████████| 4/4 [00:00<00:00, 18.37it/s]\n100%|██████████| 4/4 [00:00<00:00, 18.47it/s]",
"metrics": {
"predict_time": 0.944134354,
"total_time": 0.952958
},
"output": [
"https://replicate.delivery/yhqm/VyD24fDyzM2nQSg0nQc58W2EIj16hGcWKrXJozjAMR1BeidTA/out-0.png"
],
"started_at": "2024-09-16T18:46:26.664823Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/p8y2bvajc1rj20chzgmbw5qvxw",
"cancel": "https://api.replicate.com/v1/predictions/p8y2bvajc1rj20chzgmbw5qvxw/cancel"
},
"version": "5599ed30703defd1d160a25a63321b4dec97101d98b4674bcc56e41f62f35637"
}
Using seed: 139922051
Prompt: self-portrait of a woman, lightning in the background
0%| | 0/4 [00:00<?, ?it/s]
50%|█████ | 2/4 [00:00<00:00, 19.11it/s]
100%|██████████| 4/4 [00:00<00:00, 18.37it/s]
100%|██████████| 4/4 [00:00<00:00, 18.47it/s]