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daanelson /mixture-of-diffusers:ab293326
This version is disabled.
This version has been disabled because it consistently fails to complete setup.
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=daanelson/mixture-of-diffusers
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"daanelson/mixture-of-diffusers:ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470a",
{
input: {
seed: 639688656,
prompts: "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors",
x0_values: "0;256;512;768;1024",
x1_values: "512;768;1024;1280;1536",
y0_values: "0;0;0;0;0",
y1_values: "768;768;768;768;768",
canvas_width: 1536,
canvas_height: 768,
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 replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun daanelson/mixture-of-diffusers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"daanelson/mixture-of-diffusers:ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470a",
input={
"seed": 639688656,
"prompts": "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors",
"x0_values": "0;256;512;768;1024",
"x1_values": "512;768;1024;1280;1536",
"y0_values": "0;0;0;0;0",
"y1_values": "768;768;768;768;768",
"canvas_width": 1536,
"canvas_height": 768,
"num_inference_steps": 50
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run daanelson/mixture-of-diffusers 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": "ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470a",
"input": {
"seed": 639688656,
"prompts": "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors",
"x0_values": "0;256;512;768;1024",
"x1_values": "512;768;1024;1280;1536",
"y0_values": "0;0;0;0;0",
"y1_values": "768;768;768;768;768",
"canvas_width": 1536,
"canvas_height": 768,
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:
brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/daanelson/mixture-of-diffusers@sha256:ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470a \
-i 'seed=639688656' \
-i 'prompts="a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors"' \
-i 'x0_values="0;256;512;768;1024"' \
-i 'x1_values="512;768;1024;1280;1536"' \
-i 'y0_values="0;0;0;0;0"' \
-i 'y1_values="768;768;768;768;768"' \
-i 'canvas_width=1536' \
-i 'canvas_height=768' \
-i 'num_inference_steps=50'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/daanelson/mixture-of-diffusers@sha256:ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470acurl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 639688656, "prompts": "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors", "x0_values": "0;256;512;768;1024", "x1_values": "512;768;1024;1280;1536", "y0_values": "0;0;0;0;0", "y1_values": "768;768;768;768;768", "canvas_width": 1536, "canvas_height": 768, "num_inference_steps": 50 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
Each run costs approximately $0.046. Alternatively, try out our featured models for free.
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Output
{
"completed_at": "2023-02-16T17:23:30.547512Z",
"created_at": "2023-02-16T17:22:39.887674Z",
"data_removed": false,
"error": null,
"id": "dufslsbkyjglpajki5ywrsehlq",
"input": {
"seed": 639688656,
"prompts": "a forest, ukiyo-e, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, by velazquez, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, impressionist style by van gogh, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, cubist style by Pablo Picasso intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors;a forest, 80s synthwave style, intricate, elegant, highly detailed, smooth, sharp focus, artstation, stunning masterpiece, impressive colors",
"x0_values": "0;256;512;768;1024",
"x1_values": "512;768;1024;1280;1536",
"y0_values": "0;0;0;0;0",
"y1_values": "768;768;768;768;768",
"canvas_width": 1536,
"canvas_height": 768,
"num_inference_steps": 50
},
"logs": "0it [00:00, ?it/s]\n1it [00:01, 1.00s/it]\n2it [00:01, 1.02it/s]\n3it [00:02, 1.02it/s]\n4it [00:03, 1.02it/s]\n5it [00:04, 1.02it/s]\n6it [00:05, 1.02it/s]\n7it [00:06, 1.02it/s]\n8it [00:07, 1.02it/s]\n9it [00:08, 1.02it/s]\n10it [00:09, 1.02it/s]\n11it [00:10, 1.02it/s]\n12it [00:11, 1.02it/s]\n13it [00:12, 1.02it/s]\n14it [00:13, 1.02it/s]\n15it [00:14, 1.02it/s]\n16it [00:15, 1.02it/s]\n17it [00:16, 1.02it/s]\n18it [00:17, 1.02it/s]\n19it [00:18, 1.02it/s]\n20it [00:19, 1.02it/s]\n21it [00:20, 1.02it/s]\n22it [00:21, 1.02it/s]\n23it [00:22, 1.02it/s]\n24it [00:23, 1.02it/s]\n25it [00:24, 1.02it/s]\n26it [00:25, 1.02it/s]\n27it [00:26, 1.02it/s]\n28it [00:27, 1.02it/s]\n29it [00:28, 1.02it/s]\n30it [00:29, 1.02it/s]\n31it [00:30, 1.02it/s]\n32it [00:31, 1.02it/s]\n33it [00:32, 1.02it/s]\n34it [00:33, 1.02it/s]\n35it [00:34, 1.02it/s]\n36it [00:35, 1.02it/s]\n37it [00:36, 1.02it/s]\n38it [00:37, 1.02it/s]\n39it [00:38, 1.02it/s]\n40it [00:39, 1.02it/s]\n41it [00:40, 1.02it/s]\n42it [00:41, 1.02it/s]\n43it [00:42, 1.02it/s]\n44it [00:43, 1.02it/s]\n45it [00:44, 1.02it/s]\n46it [00:45, 1.02it/s]\n47it [00:46, 1.02it/s]\n48it [00:47, 1.02it/s]\n49it [00:48, 1.02it/s]\n50it [00:49, 1.02it/s]\n50it [00:49, 1.02it/s]",
"metrics": {
"predict_time": 50.59424,
"total_time": 50.659838
},
"output": "https://replicate.delivery/pbxt/3X4nXRmoVOZ9CBOC8e6b3KADCfrPro4998kt9hMpF6bRiBfgA/output.png",
"started_at": "2023-02-16T17:22:39.953272Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/dufslsbkyjglpajki5ywrsehlq",
"cancel": "https://api.replicate.com/v1/predictions/dufslsbkyjglpajki5ywrsehlq/cancel"
},
"version": "ab2933266787fa50a3b118a37dc3b11bcf0f4c0abb4eaf10f2deab6ed948470a"
}Generated in
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