typetext
{
"guidance_scale": 7.5,
"height": 512,
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "classic disney style magical princess with golden hair",
"prompt_strength": 0.8,
"scheduler": "K-LMS",
"seed": 5,
"width": 512
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_6qI**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run tstramer/classic-anim-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"tstramer/classic-anim-diffusion:91fb195e96464939c7999ac6acc11d767c471ef6a454632cf530ecd4c268982c",
{
input: {
guidance_scale: 7.5,
height: 512,
num_inference_steps: 50,
num_outputs: 1,
prompt: "classic disney style magical princess with golden hair",
prompt_strength: 0.8,
scheduler: "K-LMS",
seed: 5,
width: 512
}
}
);
// 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=r8_6qI**********************************
This is your API token. Keep it to yourself.
import replicate
Run tstramer/classic-anim-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"tstramer/classic-anim-diffusion:91fb195e96464939c7999ac6acc11d767c471ef6a454632cf530ecd4c268982c",
input={
"guidance_scale": 7.5,
"height": 512,
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "classic disney style magical princess with golden hair",
"prompt_strength": 0.8,
"scheduler": "K-LMS",
"seed": 5,
"width": 512
}
)
# 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.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_6qI**********************************
This is your API token. Keep it to yourself.
Run tstramer/classic-anim-diffusion 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": "tstramer/classic-anim-diffusion:91fb195e96464939c7999ac6acc11d767c471ef6a454632cf530ecd4c268982c",
"input": {
"guidance_scale": 7.5,
"height": 512,
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "classic disney style magical princess with golden hair",
"prompt_strength": 0.8,
"scheduler": "K-LMS",
"seed": 5,
"width": 512
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "6g4k2mmg45dlln3jgvsxy7jjgi",
"model": "tstramer/classic-anim-diffusion",
"version": "91fb195e96464939c7999ac6acc11d767c471ef6a454632cf530ecd4c268982c",
"input": {
"guidance_scale": 7.5,
"height": 512,
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "classic disney style magical princess with golden hair",
"prompt_strength": 0.8,
"scheduler": "K-LMS",
"seed": 5,
"width": 512
},
"logs": "Using seed: 5\n\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:02<01:47, 2.19s/it]\n 6%|▌ | 3/50 [00:02<00:29, 1.61it/s]\n 10%|█ | 5/50 [00:02<00:15, 2.94it/s]\n 14%|█▍ | 7/50 [00:02<00:09, 4.38it/s]\n 18%|█▊ | 9/50 [00:02<00:06, 5.90it/s]\n 22%|██▏ | 11/50 [00:02<00:05, 7.39it/s]\n 26%|██▌ | 13/50 [00:03<00:04, 8.76it/s]\n 30%|███ | 15/50 [00:03<00:03, 9.92it/s]\n 34%|███▍ | 17/50 [00:03<00:03, 10.92it/s]\n 38%|███▊ | 19/50 [00:03<00:02, 11.64it/s]\n 42%|████▏ | 21/50 [00:03<00:02, 12.26it/s]\n 46%|████▌ | 23/50 [00:03<00:02, 12.70it/s]\n 50%|█████ | 25/50 [00:03<00:01, 13.05it/s]\n 54%|█████▍ | 27/50 [00:04<00:01, 13.26it/s]\n 58%|█████▊ | 29/50 [00:04<00:01, 13.34it/s]\n 62%|██████▏ | 31/50 [00:04<00:01, 13.48it/s]\n 66%|██████▌ | 33/50 [00:04<00:01, 13.45it/s]\n 70%|███████ | 35/50 [00:04<00:01, 13.55it/s]\n 74%|███████▍ | 37/50 [00:04<00:00, 13.63it/s]\n 78%|███████▊ | 39/50 [00:04<00:00, 13.69it/s]\n 82%|████████▏ | 41/50 [00:05<00:00, 13.73it/s]\n 86%|████████▌ | 43/50 [00:05<00:00, 13.74it/s]\n 90%|█████████ | 45/50 [00:05<00:00, 13.82it/s]\n 94%|█████████▍| 47/50 [00:05<00:00, 13.72it/s]\n 98%|█████████▊| 49/50 [00:05<00:00, 13.76it/s]\n100%|██████████| 50/50 [00:05<00:00, 8.69it/s]",
"output": [
"https://replicate.delivery/pbxt/mZUBI4X2tbLRClLj0jU5IkKVykE4gGGw0fapgZMMyDPAaNfPA/out-0.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2022-11-09T19:07:24.706915Z",
"started_at": "2022-11-09T19:09:43.71698Z",
"completed_at": "2022-11-09T19:09:52.574466Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/6g4k2mmg45dlln3jgvsxy7jjgi/cancel",
"get": "https://api.replicate.com/v1/predictions/6g4k2mmg45dlln3jgvsxy7jjgi"
},
"metrics": {
"predict_time": 8.857486,
"total_time": 147.867551
}
}