typetext
{
"guidance_scale": 7.5,
"num_inference_steps": 100,
"num_outputs": 1,
"prompt": "a gentleman otter in a 19th century portrait"
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_fHv**********************************
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 stability-ai/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"stability-ai/stable-diffusion:d70beb400d223e6432425a5299910329c6050c6abcf97b8c70537d6a1fcb269a",
{
input: {
guidance_scale: 7.5,
num_inference_steps: 100,
num_outputs: 1,
prompt: "a gentleman otter in a 19th century portrait"
}
}
);
// 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_fHv**********************************
This is your API token. Keep it to yourself.
import replicate
Run stability-ai/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"stability-ai/stable-diffusion:d70beb400d223e6432425a5299910329c6050c6abcf97b8c70537d6a1fcb269a",
input={
"guidance_scale": 7.5,
"num_inference_steps": 100,
"num_outputs": 1,
"prompt": "a gentleman otter in a 19th century portrait"
}
)
# 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_fHv**********************************
This is your API token. Keep it to yourself.
Run stability-ai/stable-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": "stability-ai/stable-diffusion:d70beb400d223e6432425a5299910329c6050c6abcf97b8c70537d6a1fcb269a",
"input": {
"guidance_scale": 7.5,
"num_inference_steps": 100,
"num_outputs": 1,
"prompt": "a gentleman otter in a 19th century portrait"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "rktab6ur7ve3dfuvh7efbo3j54",
"model": "stability-ai/stable-diffusion",
"version": "d70beb400d223e6432425a5299910329c6050c6abcf97b8c70537d6a1fcb269a",
"input": {
"guidance_scale": 7.5,
"num_inference_steps": 100,
"num_outputs": 1,
"prompt": "a gentleman otter in a 19th century portrait"
},
"logs": "Using seed: 45586\n\n0it [00:00, ?it/s]\n2it [00:00, 9.55it/s]\n3it [00:00, 8.54it/s]\n5it [00:00, 9.26it/s]\n6it [00:00, 9.27it/s]\n7it [00:00, 9.27it/s]\n8it [00:00, 9.26it/s]\n9it [00:00, 9.23it/s]\n10it [00:01, 9.12it/s]\n11it [00:01, 9.32it/s]\n12it [00:01, 9.31it/s]\n13it [00:01, 9.32it/s]\n14it [00:01, 9.30it/s]\n15it [00:01, 9.13it/s]\n16it [00:01, 9.24it/s]\n17it [00:01, 9.34it/s]\n18it [00:01, 9.29it/s]\n19it [00:02, 9.30it/s]\n20it [00:02, 9.23it/s]\n21it [00:02, 9.26it/s]\n22it [00:02, 9.29it/s]\n23it [00:02, 9.28it/s]\n24it [00:02, 9.13it/s]\n25it [00:02, 9.33it/s]\n26it [00:02, 9.30it/s]\n27it [00:02, 9.32it/s]\n28it [00:03, 9.29it/s]\n29it [00:03, 9.19it/s]\n30it [00:03, 9.27it/s]\n31it [00:03, 9.30it/s]\n32it [00:03, 9.31it/s]\n33it [00:03, 9.20it/s]\n34it [00:03, 9.33it/s]\n35it [00:03, 9.25it/s]\n36it [00:03, 9.34it/s]\n37it [00:03, 9.30it/s]\n38it [00:04, 9.16it/s]\n39it [00:04, 9.31it/s]\n40it [00:04, 9.32it/s]\n41it [00:04, 9.29it/s]\n42it [00:04, 9.32it/s]\n43it [00:04, 9.12it/s]\n44it [00:04, 9.31it/s]\n45it [00:04, 9.35it/s]\n46it [00:04, 9.33it/s]\n47it [00:05, 9.29it/s]\n48it [00:05, 9.33it/s]\n49it [00:05, 9.33it/s]\n50it [00:05, 9.26it/s]\n51it [00:05, 9.27it/s]\n52it [00:05, 9.19it/s]\n53it [00:05, 9.30it/s]\n54it [00:05, 9.20it/s]\n55it [00:05, 9.27it/s]\n56it [00:06, 9.31it/s]\n57it [00:06, 9.30it/s]\n58it [00:06, 9.23it/s]\n59it [00:06, 9.30it/s]\n60it [00:06, 9.28it/s]\n61it [00:06, 9.26it/s]\n62it [00:06, 9.34it/s]\n63it [00:06, 9.13it/s]\n64it [00:06, 9.36it/s]\n65it [00:07, 9.33it/s]\n66it [00:07, 9.32it/s]\n67it [00:07, 9.31it/s]\n68it [00:07, 9.29it/s]\n69it [00:07, 9.32it/s]\n70it [00:07, 9.22it/s]\n71it [00:07, 9.30it/s]\n72it [00:07, 9.31it/s]\n73it [00:07, 9.30it/s]\n74it [00:07, 9.31it/s]\n75it [00:08, 9.31it/s]\n76it [00:08, 9.29it/s]\n77it [00:08, 9.20it/s]\n78it [00:08, 9.30it/s]\n79it [00:08, 9.31it/s]\n80it [00:08, 9.18it/s]\n81it [00:08, 9.27it/s]\n82it [00:08, 9.32it/s]\n83it [00:08, 9.29it/s]\n84it [00:09, 9.24it/s]\n85it [00:09, 9.26it/s]\n86it [00:09, 9.28it/s]\n87it [00:09, 9.26it/s]\n88it [00:09, 9.28it/s]\n89it [00:09, 9.12it/s]\n90it [00:09, 9.32it/s]\n91it [00:09, 9.32it/s]\n92it [00:09, 8.92it/s]\n94it [00:10, 9.32it/s]\n95it [00:10, 9.37it/s]\n96it [00:10, 9.33it/s]\n97it [00:10, 9.34it/s]\n98it [00:10, 9.33it/s]\n99it [00:10, 9.33it/s]\n100it [00:10, 9.31it/s]\n100it [00:10, 9.27it/s]",
"output": [
"https://replicate.delivery/mgxm/8d6a8069-b91f-4e61-8136-fa7c0775532c/out-0.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2022-08-22T22:53:37.724733Z",
"started_at": "2022-08-22T22:53:37.960962Z",
"completed_at": "2022-08-22T22:53:49.771482Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/rktab6ur7ve3dfuvh7efbo3j54/cancel",
"get": "https://api.replicate.com/v1/predictions/rktab6ur7ve3dfuvh7efbo3j54"
},
"metrics": {
"predict_time": 11.81052,
"total_time": 12.046749
}
}