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prompthunt /cog-sd15-inference:b636d05b
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export 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 prompthunt/cog-sd15-inference using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"prompthunt/cog-sd15-inference:b636d05bf9590122ef3e3f44332734e7dd297e6c496767ff6a1e12e969d6a39c",
{
input: {
width: 1024,
height: 1024,
prompt: "An astronaut riding a rainbow unicorn",
refine: "no_refiner",
fix_face: false,
scheduler: "K_EULER",
num_outputs: 1,
face_padding: 2,
upscale_face: false,
controlnet_end: 1,
face_resize_to: 1024,
guidance_scale: 7.5,
inpaint_prompt: "A photo of TOK",
high_noise_frac: 0.8,
negative_prompt: "",
prompt_strength: 0.8,
controlnet_start: 0,
inpaint_strength: 0.35,
mask_blur_amount: 8,
inpaint_lora_scale: 0.6,
num_inference_steps: 50,
inpaint_controlnet_end: 1,
inpaint_guidance_scale: 3,
inpaint_negative_prompt: "",
inpaint_controlnet_start: 0,
inpaint_num_inference_steps: 25,
controlnet_conditioning_scale: 0.75,
inpaint_controlnet_conditioning_scale: 0.75
}
}
);
// 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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run prompthunt/cog-sd15-inference using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"prompthunt/cog-sd15-inference:b636d05bf9590122ef3e3f44332734e7dd297e6c496767ff6a1e12e969d6a39c",
input={
"width": 1024,
"height": 1024,
"prompt": "An astronaut riding a rainbow unicorn",
"refine": "no_refiner",
"fix_face": False,
"scheduler": "K_EULER",
"num_outputs": 1,
"face_padding": 2,
"upscale_face": False,
"controlnet_end": 1,
"face_resize_to": 1024,
"guidance_scale": 7.5,
"inpaint_prompt": "A photo of TOK",
"high_noise_frac": 0.8,
"negative_prompt": "",
"prompt_strength": 0.8,
"controlnet_start": 0,
"inpaint_strength": 0.35,
"mask_blur_amount": 8,
"inpaint_lora_scale": 0.6,
"num_inference_steps": 50,
"inpaint_controlnet_end": 1,
"inpaint_guidance_scale": 3,
"inpaint_negative_prompt": "",
"inpaint_controlnet_start": 0,
"inpaint_num_inference_steps": 25,
"controlnet_conditioning_scale": 0.75,
"inpaint_controlnet_conditioning_scale": 0.75
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run prompthunt/cog-sd15-inference 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": "prompthunt/cog-sd15-inference:b636d05bf9590122ef3e3f44332734e7dd297e6c496767ff6a1e12e969d6a39c",
"input": {
"width": 1024,
"height": 1024,
"prompt": "An astronaut riding a rainbow unicorn",
"refine": "no_refiner",
"fix_face": false,
"scheduler": "K_EULER",
"num_outputs": 1,
"face_padding": 2,
"upscale_face": false,
"controlnet_end": 1,
"face_resize_to": 1024,
"guidance_scale": 7.5,
"inpaint_prompt": "A photo of TOK",
"high_noise_frac": 0.8,
"negative_prompt": "",
"prompt_strength": 0.8,
"controlnet_start": 0,
"inpaint_strength": 0.35,
"mask_blur_amount": 8,
"inpaint_lora_scale": 0.6,
"num_inference_steps": 50,
"inpaint_controlnet_end": 1,
"inpaint_guidance_scale": 3,
"inpaint_negative_prompt": "",
"inpaint_controlnet_start": 0,
"inpaint_num_inference_steps": 25,
"controlnet_conditioning_scale": 0.75,
"inpaint_controlnet_conditioning_scale": 0.75
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
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Output
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