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alexgenovese /test-endpoint:cacd901f
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=alexgenovese/test-endpoint
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 alexgenovese/test-endpoint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"alexgenovese/test-endpoint:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
{
input: {
seed: 13694,
width: 1024,
height: 1024,
prompt: "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
scheduler: "K_EULER",
base_model: "FFusion/FFusionXL-BASE",
num_outputs: 1,
guidance_scale: 7.5,
apply_watermark: true,
negative_prompt: "overexposed, (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
num_inference_steps: 50
}
}
);
// 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.
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 alexgenovese/test-endpoint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"alexgenovese/test-endpoint:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
input={
"seed": 13694,
"width": 1024,
"height": 1024,
"prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
"scheduler": "K_EULER",
"base_model": "FFusion/FFusionXL-BASE",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": True,
"negative_prompt": "overexposed, (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
"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 alexgenovese/test-endpoint 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": "alexgenovese/test-endpoint:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
"input": {
"seed": 13694,
"width": 1024,
"height": 1024,
"prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
"scheduler": "K_EULER",
"base_model": "FFusion/FFusionXL-BASE",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"negative_prompt": "overexposed, (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
"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/alexgenovese/test-endpoint@sha256:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764 \
-i 'seed=13694' \
-i 'width=1024' \
-i 'height=1024' \
-i 'prompt="A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still"' \
-i 'scheduler="K_EULER"' \
-i 'base_model="FFusion/FFusionXL-BASE"' \
-i 'num_outputs=1' \
-i 'guidance_scale=7.5' \
-i 'apply_watermark=true' \
-i 'negative_prompt="overexposed, (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck"' \
-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/alexgenovese/test-endpoint@sha256:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 13694, "width": 1024, "height": 1024, "prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still", "scheduler": "K_EULER", "base_model": "FFusion/FFusionXL-BASE", "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "negative_prompt": "overexposed, (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck", "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 $0.019. Alternatively, try out our featured models for free.
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Output
{
"completed_at": "2023-09-22T19:50:16.005653Z",
"created_at": "2023-09-22T19:47:40.569420Z",
"data_removed": false,
"error": null,
"id": "il2nujjbto52sf5gvuekxtx6pq",
"input": {
"seed": 13694,
"width": 1024,
"height": 1024,
"prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
"scheduler": "K_EULER",
"base_model": "FFusion/FFusionXL-BASE",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"negative_prompt": "overexposed, (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
"num_inference_steps": 50
},
"logs": "Using seed: 13694\nLoading sdxl pipeline...\nDownloading (…)ain/model_index.json: 0%| | 0.00/609 [00:00<?, ?B/s]\nDownloading (…)ain/model_index.json: 100%|██████████| 609/609 [00:00<00:00, 104kB/s]\nA mixture of fp16 and non-fp16 filenames will be loaded.\nLoaded fp16 filenames:\n[vae/diffusion_pytorch_model.fp16.safetensors, text_encoder/model.fp16.safetensors, text_encoder_2/model.fp16.safetensors, vae_0_9/diffusion_pytorch_model.fp16.safetensors, vae_1_0/diffusion_pytorch_model.fp16.safetensors, unet/diffusion_pytorch_model.fp16.safetensors]\nLoaded non-fp16 filenames:\n[model.safetensors\nIf this behavior is not expected, please check your folder structure.\nFetching 21 files: 0%| | 0/21 [00:00<?, ?it/s]\nDownloading (…)cial_tokens_map.json: 0%| | 0.00/472 [00:00<?, ?B/s]\u001b[A\nDownloading (…)cial_tokens_map.json: 100%|██████████| 472/472 [00:00<00:00, 68.7kB/s]\nDownloading (…)cheduler_config.json: 0%| | 0.00/479 [00:00<?, ?B/s]\u001b[A\nDownloading 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"metrics": {
"predict_time": 55.021086,
"total_time": 155.436233
},
"output": [
"https://replicate.delivery/pbxt/fi3OdXiHQV1wP6ECU62JpV5hFWjS4k07QfNqU8XcXPV3H6mRA/out-0.png"
],
"started_at": "2023-09-22T19:49:20.984567Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/il2nujjbto52sf5gvuekxtx6pq",
"cancel": "https://api.replicate.com/v1/predictions/il2nujjbto52sf5gvuekxtx6pq/cancel"
},
"version": "cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764"
}Generated in
Using seed: 13694
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[model.safetensors
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