defaultAn astronaut riding a rainbow unicorn
typetext
{
"apply_watermark": false,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.9,
"lora_scale": 0.5,
"negative_prompt": "happy, cheerful, joyful, modern, traditional, fashionable, contemporary, progressive, religious, cartoon, underexposed, overexposed, low saturation, low resolution, low quality, pixelated, blurry, oversaturated, watermark, broken, distorted, disfigured, deformed, artifacts, ugly, mismatching eyes, ugly eyes, imperfect eyes, cross eyed, deformed pupils, deformed iris, deformed nose, ugly nose, poorly drawn face, poorly drawn hands, extra limbs, bad anatomy",
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "In the style of TOK, a photo of a woman, dune, portrait, war, apocalyptic",
"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_8Go**********************************
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 omidaziz/sdxl-dune using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"omidaziz/sdxl-dune:8aaac1d06570ff79bea3cfcfe0e63d01a0e69c8cb841eb7c5d2df8ea64a62a92",
{
input: {
apply_watermark: false,
guidance_scale: 7.5,
height: 1024,
high_noise_frac: 0.9,
lora_scale: 0.5,
negative_prompt: "happy, cheerful, joyful, modern, traditional, fashionable, contemporary, progressive, religious, cartoon, underexposed, overexposed, low saturation, low resolution, low quality, pixelated, blurry, oversaturated, watermark, broken, distorted, disfigured, deformed, artifacts, ugly, mismatching eyes, ugly eyes, imperfect eyes, cross eyed, deformed pupils, deformed iris, deformed nose, ugly nose, poorly drawn face, poorly drawn hands, extra limbs, bad anatomy",
num_inference_steps: 50,
num_outputs: 1,
prompt: "In the style of TOK, a photo of a woman, dune, portrait, war, apocalyptic",
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_8Go**********************************
This is your API token. Keep it to yourself.
import replicate
Run omidaziz/sdxl-dune using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"omidaziz/sdxl-dune:8aaac1d06570ff79bea3cfcfe0e63d01a0e69c8cb841eb7c5d2df8ea64a62a92",
input={
"apply_watermark": False,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.9,
"lora_scale": 0.5,
"negative_prompt": "happy, cheerful, joyful, modern, traditional, fashionable, contemporary, progressive, religious, cartoon, underexposed, overexposed, low saturation, low resolution, low quality, pixelated, blurry, oversaturated, watermark, broken, distorted, disfigured, deformed, artifacts, ugly, mismatching eyes, ugly eyes, imperfect eyes, cross eyed, deformed pupils, deformed iris, deformed nose, ugly nose, poorly drawn face, poorly drawn hands, extra limbs, bad anatomy",
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "In the style of TOK, a photo of a woman, dune, portrait, war, apocalyptic",
"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_8Go**********************************
This is your API token. Keep it to yourself.
Run omidaziz/sdxl-dune 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": "omidaziz/sdxl-dune:8aaac1d06570ff79bea3cfcfe0e63d01a0e69c8cb841eb7c5d2df8ea64a62a92",
"input": {
"apply_watermark": false,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.9,
"lora_scale": 0.5,
"negative_prompt": "happy, cheerful, joyful, modern, traditional, fashionable, contemporary, progressive, religious, cartoon, underexposed, overexposed, low saturation, low resolution, low quality, pixelated, blurry, oversaturated, watermark, broken, distorted, disfigured, deformed, artifacts, ugly, mismatching eyes, ugly eyes, imperfect eyes, cross eyed, deformed pupils, deformed iris, deformed nose, ugly nose, poorly drawn face, poorly drawn hands, extra limbs, bad anatomy",
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "In the style of TOK, a photo of a woman, dune, portrait, war, apocalyptic",
"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": "4txnxmlbytx7nhdt43pukfucxa",
"model": "omidaziz/sdxl-dune",
"version": "8aaac1d06570ff79bea3cfcfe0e63d01a0e69c8cb841eb7c5d2df8ea64a62a92",
"input": {
"apply_watermark": false,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.9,
"lora_scale": 0.5,
"negative_prompt": "happy, cheerful, joyful, modern, traditional, fashionable, contemporary, progressive, religious, cartoon, underexposed, overexposed, low saturation, low resolution, low quality, pixelated, blurry, oversaturated, watermark, broken, distorted, disfigured, deformed, artifacts, ugly, mismatching eyes, ugly eyes, imperfect eyes, cross eyed, deformed pupils, deformed iris, deformed nose, ugly nose, poorly drawn face, poorly drawn hands, extra limbs, bad anatomy",
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "In the style of TOK, a photo of a woman, dune, portrait, war, apocalyptic",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "K_EULER",
"width": 1024
},
"logs": "Using seed: 40324\nEnsuring enough disk space...\nFree disk space: 3428551127040\nDownloading weights: https://replicate.delivery/pbxt/OUMuKOEoHloUNNyqLCHUeleUCewHuZe18GYyKz9RxAf3zjjTC/trained_model.tar\n2024-03-03T08:29:21Z | INFO | [ Initiating ] dest=/src/weights-cache/0d8fbfa16d61f561 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/OUMuKOEoHloUNNyqLCHUeleUCewHuZe18GYyKz9RxAf3zjjTC/trained_model.tar\n2024-03-03T08:29:22Z | INFO | [ Complete ] dest=/src/weights-cache/0d8fbfa16d61f561 size=\"186 MB\" total_elapsed=0.534s url=https://replicate.delivery/pbxt/OUMuKOEoHloUNNyqLCHUeleUCewHuZe18GYyKz9RxAf3zjjTC/trained_model.tar\nb''\nDownloaded weights in 0.6884493827819824 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: In the style of <s0><s1>, a photo of a woman, dune, portrait, war, apocalyptic\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.71it/s]\n 4%|▍ | 2/50 [00:00<00:12, 3.70it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.69it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.69it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.68it/s]\n 12%|█▏ | 6/50 [00:01<00:11, 3.69it/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, 3.71it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.70it/s]\n 26%|██▌ | 13/50 [00:03<00:09, 3.70it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.70it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.70it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.70it/s]\n 34%|███▍ | 17/50 [00:04<00:08, 3.70it/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, 3.70it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.70it/s]\n 44%|████▍ | 22/50 [00:05<00:07, 3.70it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.70it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.70it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.70it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.70it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.70it/s]\n 56%|█████▌ | 28/50 [00:07<00:05, 3.70it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.70it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.69it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.69it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.69it/s]\n 66%|██████▌ | 33/50 [00:08<00:04, 3.69it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.69it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.69it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.69it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.70it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.69it/s]\n 78%|███████▊ | 39/50 [00:10<00:02, 3.69it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.69it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.69it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.69it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.69it/s]\n 88%|████████▊ | 44/50 [00:11<00:01, 3.69it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.69it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.69it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.69it/s]\n 96%|█████████▌| 48/50 [00:12<00:00, 3.69it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.68it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.69it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.70it/s]",
"output": [
"https://replicate.delivery/pbxt/p4T0iM0VIiI0DJTUETU9lfhgqpXEE35wNi14GrLmzZh4NPOJA/out-0.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-03-03T08:29:02.573Z",
"started_at": "2024-03-03T08:29:21.44731Z",
"completed_at": "2024-03-03T08:29:37.426266Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/4txnxmlbytx7nhdt43pukfucxa/cancel",
"get": "https://api.replicate.com/v1/predictions/4txnxmlbytx7nhdt43pukfucxa"
},
"metrics": {
"predict_time": 15.978956,
"total_time": 34.853266
}
}