defaultAn astronaut riding a rainbow unicorn
typetext
{
"apply_watermark": true,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.6,
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "In the style of MK1, a woman composed of water, transparent features, ready to fight",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "K_EULER",
"width": 1024
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_DrF**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run asronline/mk1-redux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"asronline/mk1-redux:cbd37c5619e00c2110a01b1c9d0610ccf8ebfa67912d858aa1d8753994794753",
{
input: {
apply_watermark: true,
guidance_scale: 7.5,
height: 1024,
high_noise_frac: 0.8,
lora_scale: 0.6,
num_inference_steps: 50,
num_outputs: 1,
prompt: "In the style of MK1, a woman composed of water, transparent features, ready to fight",
prompt_strength: 0.8,
refine: "no_refiner",
scheduler: "K_EULER",
width: 1024
}
}
);
// 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=r8_DrF**********************************
This is your API token. Keep it to yourself.
import replicate
Run asronline/mk1-redux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"asronline/mk1-redux:cbd37c5619e00c2110a01b1c9d0610ccf8ebfa67912d858aa1d8753994794753",
input={
"apply_watermark": True,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.6,
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "In the style of MK1, a woman composed of water, transparent features, ready to fight",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "K_EULER",
"width": 1024
}
)
# To access the file URL:
print(output[0].url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_DrF**********************************
This is your API token. Keep it to yourself.
Run asronline/mk1-redux 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": "asronline/mk1-redux:cbd37c5619e00c2110a01b1c9d0610ccf8ebfa67912d858aa1d8753994794753",
"input": {
"apply_watermark": true,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.6,
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "In the style of MK1, a woman composed of water, transparent features, ready to fight",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "K_EULER",
"width": 1024
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "4u3ngpdbo4qbgbu7nd4aidep5m",
"model": "asronline/mk1-redux",
"version": "cbd37c5619e00c2110a01b1c9d0610ccf8ebfa67912d858aa1d8753994794753",
"input": {
"apply_watermark": true,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.6,
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "In the style of MK1, a woman composed of water, transparent features, ready to fight",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "K_EULER",
"width": 1024
},
"logs": "Using seed: 17130\nPrompt: In the style of MK1, a woman composed of water, transparent features, ready to fight\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.68it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.66it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.65it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.65it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.64it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.64it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.65it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.64it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.64it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.64it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.65it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.65it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.65it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.66it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.66it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.66it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.66it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.66it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.66it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.66it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.66it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.66it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.66it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.66it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.66it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.66it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.66it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.66it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.66it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.66it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.66it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.66it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.66it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.65it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.65it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.65it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.65it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.65it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.65it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.65it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.65it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.65it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.65it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.65it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.65it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.65it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.65it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.65it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.65it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.65it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.65it/s]",
"output": [
"https://pbxt.replicate.delivery/2tB7LOgie0XmeUIOROJmwYEkBN0RgUZCekyqKsnPie9OxYBGB/out-0.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2023-09-02T22:02:44.36073Z",
"started_at": "2023-09-02T22:02:44.291507Z",
"completed_at": "2023-09-02T22:03:00.012063Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/4u3ngpdbo4qbgbu7nd4aidep5m/cancel",
"get": "https://api.replicate.com/v1/predictions/4u3ngpdbo4qbgbu7nd4aidep5m"
},
"metrics": {
"predict_time": 15.720556,
"total_time": 15.651333
}
}