Readme
This model doesn't have a readme.
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variableexport 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 fofr/sdxl-jwst using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fofr/sdxl-jwst:3c39ca4c9c8c1b3f1a5839fe46319da49baafeabed07c0741f43ac70e874de54",
{
input: {
width: 1024,
height: 1024,
prompt: "a photo taken by TOK, astrophotography",
refine: "no_refiner",
scheduler: "K_EULER",
lora_scale: 0.6,
num_outputs: 4,
guidance_scale: 7.5,
apply_watermark: true,
high_noise_frac: 0.8,
negative_prompt: "",
prompt_strength: 0.8,
num_inference_steps: 50
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run fofr/sdxl-jwst using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fofr/sdxl-jwst:3c39ca4c9c8c1b3f1a5839fe46319da49baafeabed07c0741f43ac70e874de54",
input={
"width": 1024,
"height": 1024,
"prompt": "a photo taken by TOK, astrophotography",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 4,
"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 variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fofr/sdxl-jwst 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": "3c39ca4c9c8c1b3f1a5839fe46319da49baafeabed07c0741f43ac70e874de54",
"input": {
"width": 1024,
"height": 1024,
"prompt": "a photo taken by TOK, astrophotography",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 4,
"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.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run fofr/sdxl-jwst using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/fofr/sdxl-jwst@sha256:3c39ca4c9c8c1b3f1a5839fe46319da49baafeabed07c0741f43ac70e874de54 \
-i 'width=1024' \
-i 'height=1024' \
-i 'prompt="a photo taken by TOK, astrophotography"' \
-i 'refine="no_refiner"' \
-i 'scheduler="K_EULER"' \
-i 'lora_scale=0.6' \
-i 'num_outputs=4' \
-i 'guidance_scale=7.5' \
-i 'apply_watermark=true' \
-i 'high_noise_frac=0.8' \
-i 'negative_prompt=""' \
-i 'prompt_strength=0.8' \
-i 'num_inference_steps=50'
To learn more, take a look at the Cog documentation.
Pull and run fofr/sdxl-jwst using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/fofr/sdxl-jwst@sha256:3c39ca4c9c8c1b3f1a5839fe46319da49baafeabed07c0741f43ac70e874de54
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "width": 1024, "height": 1024, "prompt": "a photo taken by TOK, astrophotography", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ http://localhost:5000/predictions
Add a payment method to run this model.
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{
"completed_at": "2023-08-14T21:13:17.861796Z",
"created_at": "2023-08-14T21:12:22.099343Z",
"data_removed": false,
"error": null,
"id": "7wychklbgqpl3jo7ezlyewfmc4",
"input": {
"width": 1024,
"height": 1024,
"prompt": "a photo taken by TOK, astrophotography",
"refine": "no_refiner",
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 4,
"guidance_scale": 7.5,
"apply_watermark": true,
"high_noise_frac": 0.8,
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"logs": "Using seed: 29382\nPrompt: a photo taken by <s0><s1>, astrophotography\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:49, 1.00s/it]\n 4%|▍ | 2/50 [00:02<00:48, 1.00s/it]\n 6%|▌ | 3/50 [00:03<00:47, 1.00s/it]\n 8%|▊ | 4/50 [00:04<00:46, 1.00s/it]\n 10%|█ | 5/50 [00:05<00:45, 1.01s/it]\n 12%|█▏ | 6/50 [00:06<00:44, 1.00s/it]\n 14%|█▍ | 7/50 [00:07<00:43, 1.00s/it]\n 16%|█▌ | 8/50 [00:08<00:42, 1.00s/it]\n 18%|█▊ | 9/50 [00:09<00:41, 1.00s/it]\n 20%|██ | 10/50 [00:10<00:40, 1.00s/it]\n 22%|██▏ | 11/50 [00:11<00:39, 1.00s/it]\n 24%|██▍ | 12/50 [00:12<00:38, 1.00s/it]\n 26%|██▌ | 13/50 [00:13<00:37, 1.00s/it]\n 28%|██▊ | 14/50 [00:14<00:36, 1.00s/it]\n 30%|███ | 15/50 [00:15<00:35, 1.00s/it]\n 32%|███▏ | 16/50 [00:16<00:34, 1.00s/it]\n 34%|███▍ | 17/50 [00:17<00:33, 1.00s/it]\n 36%|███▌ | 18/50 [00:18<00:32, 1.01s/it]\n 38%|███▊ | 19/50 [00:19<00:31, 1.01s/it]\n 40%|████ | 20/50 [00:20<00:30, 1.01s/it]\n 42%|████▏ | 21/50 [00:21<00:29, 1.01s/it]\n 44%|████▍ | 22/50 [00:22<00:28, 1.01s/it]\n 46%|████▌ | 23/50 [00:23<00:27, 1.01s/it]\n 48%|████▊ | 24/50 [00:24<00:26, 1.01s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.01s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.01s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.01s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.01s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.01s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.01s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.01s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.01s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.01s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.01s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.01s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.01s/it]\n 74%|███████▍ | 37/50 [00:37<00:13, 1.01s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.01s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.01s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.01s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.01s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.01s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.01s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.01s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.01s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.01s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.01s/it]\n 96%|█████████▌| 48/50 [00:48<00:02, 1.01s/it]\n 98%|█████████▊| 49/50 [00:49<00:01, 1.01s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.01s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.01s/it]",
"metrics": {
"predict_time": 55.914082,
"total_time": 55.762453
},
"output": [
"https://replicate.delivery/pbxt/5pmdyTXtQvryPhtK2V8jvPQiylKEBq0yzADahshObkG7KhWE/out-0.png",
"https://replicate.delivery/pbxt/GGBcaHYf1qzjEKHVNEHM1UvxNnAhOqDEBxESJyjz2fMsrEaRA/out-1.png",
"https://replicate.delivery/pbxt/zjiEnVPZMKZWHxvDMBRAxkhpj5PvwbglG69eTNcOzwj2VCtIA/out-2.png",
"https://replicate.delivery/pbxt/y4EkIGL4G1byOlHY1FfBJkd5BsdRHms4qMk77Uog4Pt2VCtIA/out-3.png"
],
"started_at": "2023-08-14T21:12:21.947714Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/7wychklbgqpl3jo7ezlyewfmc4",
"cancel": "https://api.replicate.com/v1/predictions/7wychklbgqpl3jo7ezlyewfmc4/cancel"
},
"version": "3c39ca4c9c8c1b3f1a5839fe46319da49baafeabed07c0741f43ac70e874de54"
}
Using seed: 29382
Prompt: a photo taken by <s0><s1>, astrophotography
txt2img mode
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This model costs approximately $0.034 to run on Replicate, or 29 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 36 seconds. The predict time for this model varies significantly based on the inputs.
This model doesn't have a readme.
This model is cold. 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: 29382
Prompt: a photo taken by <s0><s1>, astrophotography
txt2img mode
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