Readme
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Elegant clothes
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run angela-goncalves/sdk-image2image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"angela-goncalves/sdk-image2image:5c540026b11c5ea4679613e0cd46d7a39ee397cd7bb52fbc2b289e3ecec81d5b",
{
input: {
width: 1024,
height: 1024,
prompt: "a man wearing a black cashmere in style of TOK",
refine: "base_image_refiner",
scheduler: "K_EULER",
lora_scale: 0.7,
num_outputs: 1,
guidance_scale: 7.5,
apply_watermark: true,
high_noise_frac: 0.8,
negative_prompt: "",
prompt_strength: 0.8,
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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run angela-goncalves/sdk-image2image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"angela-goncalves/sdk-image2image:5c540026b11c5ea4679613e0cd46d7a39ee397cd7bb52fbc2b289e3ecec81d5b",
input={
"width": 1024,
"height": 1024,
"prompt": "a man wearing a black cashmere in style of TOK",
"refine": "base_image_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.7,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": True,
"high_noise_frac": 0.8,
"negative_prompt": "",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run angela-goncalves/sdk-image2image 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": "5c540026b11c5ea4679613e0cd46d7a39ee397cd7bb52fbc2b289e3ecec81d5b",
"input": {
"width": 1024,
"height": 1024,
"prompt": "a man wearing a black cashmere in style of TOK",
"refine": "base_image_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.7,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"negative_prompt": "",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2023-09-06T20:44:48.865872Z",
"created_at": "2023-09-06T20:44:30.474410Z",
"data_removed": false,
"error": null,
"id": "arnrrulbmjsguquhg3g6pfmej4",
"input": {
"width": 1024,
"height": 1024,
"prompt": "a man wearing a black cashmere in style of TOK",
"refine": "base_image_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.7,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"logs": "Using seed: 10211\nPrompt: a man wearing a black cashmere in style of <s0><s1>\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.73it/s]\n 4%|▍ | 2/50 [00:00<00:12, 3.72it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.72it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.71it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.71it/s]\n 12%|█▏ | 6/50 [00:01<00:11, 3.71it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.70it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.70it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.70it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.70it/s]\n 22%|██▏ | 11/50 [00:02<00:10, 3.70it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.70it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.70it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.70it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.69it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.70it/s]\n 34%|███▍ | 17/50 [00:04<00:08, 3.69it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.70it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.70it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.71it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.71it/s]\n 44%|████▍ | 22/50 [00:05<00:07, 3.71it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.72it/s]\n 48%|████▊ | 24/50 [00:06<00:06, 3.72it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.71it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.72it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.72it/s]\n 56%|█████▌ | 28/50 [00:07<00:05, 3.71it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.71it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.71it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.71it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.71it/s]\n 66%|██████▌ | 33/50 [00:08<00:04, 3.71it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.71it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.71it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.71it/s]\n 74%|███████▍ | 37/50 [00:09<00:03, 3.71it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.71it/s]\n 78%|███████▊ | 39/50 [00:10<00:02, 3.71it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.70it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.70it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.70it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.71it/s]\n 88%|████████▊ | 44/50 [00:11<00:01, 3.71it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.71it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.71it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.71it/s]\n 96%|█████████▌| 48/50 [00:12<00:00, 3.70it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.71it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.70it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.71it/s]\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.39it/s]\n 13%|█▎ | 2/15 [00:00<00:02, 4.37it/s]\n 20%|██ | 3/15 [00:00<00:02, 4.37it/s]\n 27%|██▋ | 4/15 [00:00<00:02, 4.36it/s]\n 33%|███▎ | 5/15 [00:01<00:02, 4.35it/s]\n 40%|████ | 6/15 [00:01<00:02, 4.35it/s]\n 47%|████▋ | 7/15 [00:01<00:01, 4.35it/s]\n 53%|█████▎ | 8/15 [00:01<00:01, 4.35it/s]\n 60%|██████ | 9/15 [00:02<00:01, 4.35it/s]\n 67%|██████▋ | 10/15 [00:02<00:01, 4.35it/s]\n 73%|███████▎ | 11/15 [00:02<00:00, 4.35it/s]\n 80%|████████ | 12/15 [00:02<00:00, 4.34it/s]\n 87%|████████▋ | 13/15 [00:02<00:00, 4.35it/s]\n 93%|█████████▎| 14/15 [00:03<00:00, 4.34it/s]\n100%|██████████| 15/15 [00:03<00:00, 4.34it/s]\n100%|██████████| 15/15 [00:03<00:00, 4.35it/s]",
"metrics": {
"predict_time": 18.411871,
"total_time": 18.391462
},
"output": [
"https://pbxt.replicate.delivery/xjcVD1kmHZ7UOFejzWgCcqp79pbel2yDo8k72HtMhBHAbphRA/out-0.png"
],
"started_at": "2023-09-06T20:44:30.454001Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/arnrrulbmjsguquhg3g6pfmej4",
"cancel": "https://api.replicate.com/v1/predictions/arnrrulbmjsguquhg3g6pfmej4/cancel"
},
"version": "d9be84c9c22ba4ad449e8fe187f2e44465445682e7befe6ba70de57801798057"
}
Using seed: 10211
Prompt: a man wearing a black cashmere in style of <s0><s1>
txt2img mode
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This output was created using a different version of the model, angela-goncalves/sdk-image2image:d9be84c9.
This model costs approximately $0.024 to run on Replicate, or 41 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 25 seconds. The predict time for this model varies significantly based on the inputs.
This model doesn't have a readme.
This model is warm. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
Choose a file from your machine
Hint: you can also drag files onto the input
Choose a file from your machine
Hint: you can also drag files onto the input
Using seed: 10211
Prompt: a man wearing a black cashmere in style of <s0><s1>
txt2img mode
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