Readme
This model doesn't have a readme.
A fine-tuned SDXL model based on the movie Dune.
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";
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: {
width: 1024,
height: 1024,
prompt: "In the style of TOK, a photo of a woman, dune, portrait, war, apocalyptic",
refine: "no_refiner",
scheduler: "K_EULER",
lora_scale: 0.5,
num_outputs: 1,
guidance_scale: 7.5,
apply_watermark: false,
high_noise_frac: 0.9,
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",
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 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={
"width": 1024,
"height": 1024,
"prompt": "In the style of TOK, a photo of a woman, dune, portrait, war, apocalyptic",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.5,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": False,
"high_noise_frac": 0.9,
"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",
"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 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": {
"width": 1024,
"height": 1024,
"prompt": "In the style of TOK, a photo of a woman, dune, portrait, war, apocalyptic",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.5,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": false,
"high_noise_frac": 0.9,
"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",
"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": "2024-03-03T08:29:37.426266Z",
"created_at": "2024-03-03T08:29:02.573000Z",
"data_removed": false,
"error": null,
"id": "4txnxmlbytx7nhdt43pukfucxa",
"input": {
"width": 1024,
"height": 1024,
"prompt": "In the style of TOK, a photo of a woman, dune, portrait, war, apocalyptic",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.5,
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": false,
"high_noise_frac": 0.9,
"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",
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"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]",
"metrics": {
"predict_time": 15.978956,
"total_time": 34.853266
},
"output": [
"https://replicate.delivery/pbxt/p4T0iM0VIiI0DJTUETU9lfhgqpXEE35wNi14GrLmzZh4NPOJA/out-0.png"
],
"started_at": "2024-03-03T08:29:21.447310Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/4txnxmlbytx7nhdt43pukfucxa",
"cancel": "https://api.replicate.com/v1/predictions/4txnxmlbytx7nhdt43pukfucxa/cancel"
},
"version": "8aaac1d06570ff79bea3cfcfe0e63d01a0e69c8cb841eb7c5d2df8ea64a62a92"
}
Using seed: 40324
Ensuring enough disk space...
Free disk space: 3428551127040
Downloading weights: https://replicate.delivery/pbxt/OUMuKOEoHloUNNyqLCHUeleUCewHuZe18GYyKz9RxAf3zjjTC/trained_model.tar
2024-03-03T08:29:21Z | INFO | [ Initiating ] dest=/src/weights-cache/0d8fbfa16d61f561 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/OUMuKOEoHloUNNyqLCHUeleUCewHuZe18GYyKz9RxAf3zjjTC/trained_model.tar
2024-03-03T08:29:22Z | INFO | [ Complete ] dest=/src/weights-cache/0d8fbfa16d61f561 size="186 MB" total_elapsed=0.534s url=https://replicate.delivery/pbxt/OUMuKOEoHloUNNyqLCHUeleUCewHuZe18GYyKz9RxAf3zjjTC/trained_model.tar
b''
Downloaded weights in 0.6884493827819824 seconds
Loading fine-tuned model
Does not have Unet. assume we are using LoRA
Loading Unet LoRA
Prompt: In the style of <s0><s1>, a photo of a woman, dune, portrait, war, apocalyptic
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This model costs approximately $0.021 to run on Replicate, or 47 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 22 seconds.
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.
This model costs approximately $0.021 to run on Replicate, but this varies depending on your inputs. View more.
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: 40324
Ensuring enough disk space...
Free disk space: 3428551127040
Downloading weights: https://replicate.delivery/pbxt/OUMuKOEoHloUNNyqLCHUeleUCewHuZe18GYyKz9RxAf3zjjTC/trained_model.tar
2024-03-03T08:29:21Z | INFO | [ Initiating ] dest=/src/weights-cache/0d8fbfa16d61f561 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/OUMuKOEoHloUNNyqLCHUeleUCewHuZe18GYyKz9RxAf3zjjTC/trained_model.tar
2024-03-03T08:29:22Z | INFO | [ Complete ] dest=/src/weights-cache/0d8fbfa16d61f561 size="186 MB" total_elapsed=0.534s url=https://replicate.delivery/pbxt/OUMuKOEoHloUNNyqLCHUeleUCewHuZe18GYyKz9RxAf3zjjTC/trained_model.tar
b''
Downloaded weights in 0.6884493827819824 seconds
Loading fine-tuned model
Does not have Unet. assume we are using LoRA
Loading Unet LoRA
Prompt: In the style of <s0><s1>, a photo of a woman, dune, portrait, war, apocalyptic
txt2img mode
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