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asppj /comfyui-txt2img:9326b851
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=asppj/comfyui-txt2img
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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run asppj/comfyui-txt2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"asppj/comfyui-txt2img:9326b851675013a4a79ef5cd901af9562e62d3715e21b4fc70794990413be80a",
{
input: {
workflow: "{\"3\": {\"inputs\": {\"seed\": 196429611935343, \"steps\": 20, \"cfg\": 8, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}, \"class_type\": \"KSampler\"}, \"4\": {\"inputs\": {\"ckpt_name\": \"sd_xl_base_1.0.safetensors\"}, \"class_type\": \"CheckpointLoaderSimple\"}, \"5\": {\"inputs\": {\"width\": 512, \"height\": 512, \"batch_size\": 1}, \"class_type\": \"EmptyLatentImage\"}, \"6\": {\"inputs\": {\"text\": \"beautiful scenery nature glass bottle landscape, purple galaxy bottle,dog\", \"clip\": [\"4\", 1]}, \"class_type\": \"CLIPTextEncode\"}, \"7\": {\"inputs\": {\"text\": \"text, watermark\", \"clip\": [\"4\", 1]}, \"class_type\": \"CLIPTextEncode\"}, \"8\": {\"inputs\": {\"samples\": [\"3\", 0], \"vae\": [\"4\", 2]}, \"class_type\": \"VAEDecode\"}, \"9\": {\"inputs\": {\"filename_prefix\": \"ComfyUI\", \"images\": [\"8\", 0]}, \"class_type\": \"SaveImage\"}}"
}
}
);
// 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 asppj/comfyui-txt2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"asppj/comfyui-txt2img:9326b851675013a4a79ef5cd901af9562e62d3715e21b4fc70794990413be80a",
input={
"workflow": "{\"3\": {\"inputs\": {\"seed\": 196429611935343, \"steps\": 20, \"cfg\": 8, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}, \"class_type\": \"KSampler\"}, \"4\": {\"inputs\": {\"ckpt_name\": \"sd_xl_base_1.0.safetensors\"}, \"class_type\": \"CheckpointLoaderSimple\"}, \"5\": {\"inputs\": {\"width\": 512, \"height\": 512, \"batch_size\": 1}, \"class_type\": \"EmptyLatentImage\"}, \"6\": {\"inputs\": {\"text\": \"beautiful scenery nature glass bottle landscape, purple galaxy bottle,dog\", \"clip\": [\"4\", 1]}, \"class_type\": \"CLIPTextEncode\"}, \"7\": {\"inputs\": {\"text\": \"text, watermark\", \"clip\": [\"4\", 1]}, \"class_type\": \"CLIPTextEncode\"}, \"8\": {\"inputs\": {\"samples\": [\"3\", 0], \"vae\": [\"4\", 2]}, \"class_type\": \"VAEDecode\"}, \"9\": {\"inputs\": {\"filename_prefix\": \"ComfyUI\", \"images\": [\"8\", 0]}, \"class_type\": \"SaveImage\"}}"
}
)
# To access the file URL:
print(output.url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output.read())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 asppj/comfyui-txt2img 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": "asppj/comfyui-txt2img:9326b851675013a4a79ef5cd901af9562e62d3715e21b4fc70794990413be80a",
"input": {
"workflow": "{\\"3\\": {\\"inputs\\": {\\"seed\\": 196429611935343, \\"steps\\": 20, \\"cfg\\": 8, \\"sampler_name\\": \\"euler\\", \\"scheduler\\": \\"normal\\", \\"denoise\\": 1, \\"model\\": [\\"4\\", 0], \\"positive\\": [\\"6\\", 0], \\"negative\\": [\\"7\\", 0], \\"latent_image\\": [\\"5\\", 0]}, \\"class_type\\": \\"KSampler\\"}, \\"4\\": {\\"inputs\\": {\\"ckpt_name\\": \\"sd_xl_base_1.0.safetensors\\"}, \\"class_type\\": \\"CheckpointLoaderSimple\\"}, \\"5\\": {\\"inputs\\": {\\"width\\": 512, \\"height\\": 512, \\"batch_size\\": 1}, \\"class_type\\": \\"EmptyLatentImage\\"}, \\"6\\": {\\"inputs\\": {\\"text\\": \\"beautiful scenery nature glass bottle landscape, purple galaxy bottle,dog\\", \\"clip\\": [\\"4\\", 1]}, \\"class_type\\": \\"CLIPTextEncode\\"}, \\"7\\": {\\"inputs\\": {\\"text\\": \\"text, watermark\\", \\"clip\\": [\\"4\\", 1]}, \\"class_type\\": \\"CLIPTextEncode\\"}, \\"8\\": {\\"inputs\\": {\\"samples\\": [\\"3\\", 0], \\"vae\\": [\\"4\\", 2]}, \\"class_type\\": \\"VAEDecode\\"}, \\"9\\": {\\"inputs\\": {\\"filename_prefix\\": \\"ComfyUI\\", \\"images\\": [\\"8\\", 0]}, \\"class_type\\": \\"SaveImage\\"}}"
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
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Output
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