cjwbw / faster-diffusion

Rethinking the Role of UNet Encoder in Diffusion Models

Cold

Public
133 runs
L40S
GitHub
Paper
License

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Run with an API

Playground API Examples README Versions

Prediction

cjwbw/faster-diffusion:e2d69e0cad30f698ee23c89508006d605cab68ca0673f52ad311cc8caee573e5

Model

cjwbw/faster-diffusion:e2d69e0c

3pwdw3tbiil7bqkzvknx22fjrm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 60s

Created

over 1 year ago

Input

prompt: a cat wearing sunglasses
num_inference_steps: 50

{
  "prompt": "a cat wearing sunglasses",
  "num_inference_steps": 50
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run cjwbw/faster-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/faster-diffusion:e2d69e0cad30f698ee23c89508006d605cab68ca0673f52ad311cc8caee573e5",
  {
    input: {
      prompt: "a cat wearing sunglasses",
      num_inference_steps: 50
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run cjwbw/faster-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/faster-diffusion:e2d69e0cad30f698ee23c89508006d605cab68ca0673f52ad311cc8caee573e5",
    input={
        "prompt": "a cat wearing sunglasses",
        "num_inference_steps": 50
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run cjwbw/faster-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": "cjwbw/faster-diffusion:e2d69e0cad30f698ee23c89508006d605cab68ca0673f52ad311cc8caee573e5",
    "input": {
      "prompt": "a cat wearing sunglasses",
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

16.0 seconds

Tweak it ShareReport

Prediction

cjwbw/faster-diffusion:e2d69e0cad30f698ee23c89508006d605cab68ca0673f52ad311cc8caee573e5

Model

cjwbw/faster-diffusion:e2d69e0c

sofl2xdbajce3bzelygatap3py

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1.7s

Created

over 1 year ago

Input

prompt: colorful autumn leaves scattered on a stone pathway
num_inference_steps: 50

{
  "prompt": "colorful autumn leaves scattered on a stone pathway",
  "num_inference_steps": 50
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run cjwbw/faster-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/faster-diffusion:e2d69e0cad30f698ee23c89508006d605cab68ca0673f52ad311cc8caee573e5",
  {
    input: {
      prompt: "colorful autumn leaves scattered on a stone pathway",
      num_inference_steps: 50
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run cjwbw/faster-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/faster-diffusion:e2d69e0cad30f698ee23c89508006d605cab68ca0673f52ad311cc8caee573e5",
    input={
        "prompt": "colorful autumn leaves scattered on a stone pathway",
        "num_inference_steps": 50
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run cjwbw/faster-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": "cjwbw/faster-diffusion:e2d69e0cad30f698ee23c89508006d605cab68ca0673f52ad311cc8caee573e5",
    "input": {
      "prompt": "colorful autumn leaves scattered on a stone pathway",
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.