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sambowenhughes / testing-sdx-demo-v2
- Public
- 406 runs
-
L40S
- SDXL fine-tune
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=sambowenhughes/testing-sdx-demo-v2
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run sambowenhughes/testing-sdx-demo-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"sambowenhughes/testing-sdx-demo-v2:6793d9587cd0e01368641706ff87a6b143c49d6f96654e3328dc3e5fe2ec0c2d",
{
input: {
width: 1024,
height: 1024,
prompt: "Create me Kanye west styled lego sets",
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
}
}
);
// 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.
Install Replicate’s Python client library:
pip install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun sambowenhughes/testing-sdx-demo-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"sambowenhughes/testing-sdx-demo-v2:6793d9587cd0e01368641706ff87a6b143c49d6f96654e3328dc3e5fe2ec0c2d",
input={
"width": 1024,
"height": 1024,
"prompt": "Create me Kanye west styled lego sets",
"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.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run sambowenhughes/testing-sdx-demo-v2 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": "sambowenhughes/testing-sdx-demo-v2:6793d9587cd0e01368641706ff87a6b143c49d6f96654e3328dc3e5fe2ec0c2d",
"input": {
"width": 1024,
"height": 1024,
"prompt": "Create me Kanye west styled lego sets",
"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/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
Sign in with GitHub
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terms of service and privacy policy
Output
{
"completed_at": "2024-01-30T04:33:26.839264Z",
"created_at": "2024-01-30T04:31:45.892131Z",
"data_removed": false,
"error": null,
"id": "x43b5ldbhgaamj574ybxzyg7ya",
"input": {
"width": 1024,
"height": 1024,
"prompt": "Create me Kanye west styled lego sets",
"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
},
"logs": "Using seed: 1678\nEnsuring enough disk space...\nFree disk space: 1561028825088\nDownloading weights: https://replicate.delivery/pbxt/a9Dwgke1cH37XasEzdPuNwdAP9oXcpAjtfImteV9MOQtw9fIB/trained_model.tar\n2024-01-30T04:32:28Z | INFO | [ Initiating ] dest=/src/weights-cache/67574d26c2eadf91 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/a9Dwgke1cH37XasEzdPuNwdAP9oXcpAjtfImteV9MOQtw9fIB/trained_model.tar\n2024-01-30T04:32:28Z | INFO | [ Complete ] dest=/src/weights-cache/67574d26c2eadf91 size=\"186 MB\" total_elapsed=0.867s url=https://replicate.delivery/pbxt/a9Dwgke1cH37XasEzdPuNwdAP9oXcpAjtfImteV9MOQtw9fIB/trained_model.tar\nb''\nDownloaded weights in 1.0836598873138428 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: Create me Kanye west styled lego sets\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:51, 1.04s/it]\n 4%|▍ | 2/50 [00:02<00:49, 1.04s/it]\n 6%|▌ | 3/50 [00:03<00:48, 1.04s/it]\n 8%|▊ | 4/50 [00:04<00:47, 1.04s/it]\n 10%|█ | 5/50 [00:05<00:46, 1.04s/it]\n 12%|█▏ | 6/50 [00:06<00:45, 1.04s/it]\n 14%|█▍ | 7/50 [00:07<00:44, 1.04s/it]\n 16%|█▌ | 8/50 [00:08<00:43, 1.04s/it]\n 18%|█▊ | 9/50 [00:09<00:42, 1.04s/it]\n 20%|██ | 10/50 [00:10<00:41, 1.04s/it]\n 22%|██▏ | 11/50 [00:11<00:40, 1.04s/it]\n 24%|██▍ | 12/50 [00:12<00:39, 1.04s/it]\n 26%|██▌ | 13/50 [00:13<00:38, 1.04s/it]\n 28%|██▊ | 14/50 [00:14<00:37, 1.04s/it]\n 30%|███ | 15/50 [00:15<00:36, 1.04s/it]\n 32%|███▏ | 16/50 [00:16<00:35, 1.04s/it]\n 34%|███▍ | 17/50 [00:17<00:34, 1.04s/it]\n 36%|███▌ | 18/50 [00:18<00:33, 1.04s/it]\n 38%|███▊ | 19/50 [00:19<00:32, 1.04s/it]\n 40%|████ | 20/50 [00:20<00:31, 1.04s/it]\n 42%|████▏ | 21/50 [00:21<00:30, 1.04s/it]\n 44%|████▍ | 22/50 [00:22<00:29, 1.04s/it]\n 46%|████▌ | 23/50 [00:23<00:28, 1.04s/it]\n 48%|████▊ | 24/50 [00:25<00:27, 1.04s/it]\n 50%|█████ | 25/50 [00:26<00:26, 1.04s/it]\n 52%|█████▏ | 26/50 [00:27<00:25, 1.04s/it]\n 54%|█████▍ | 27/50 [00:28<00:24, 1.04s/it]\n 56%|█████▌ | 28/50 [00:29<00:22, 1.04s/it]\n 58%|█████▊ | 29/50 [00:30<00:21, 1.04s/it]\n 60%|██████ | 30/50 [00:31<00:20, 1.05s/it]\n 62%|██████▏ | 31/50 [00:32<00:19, 1.04s/it]\n 64%|██████▍ | 32/50 [00:33<00:18, 1.05s/it]\n 66%|██████▌ | 33/50 [00:34<00:17, 1.05s/it]\n 68%|██████▊ | 34/50 [00:35<00:16, 1.05s/it]\n 70%|███████ | 35/50 [00:36<00:15, 1.05s/it]\n 72%|███████▏ | 36/50 [00:37<00:14, 1.05s/it]\n 74%|███████▍ | 37/50 [00:38<00:13, 1.04s/it]\n 76%|███████▌ | 38/50 [00:39<00:12, 1.05s/it]\n 78%|███████▊ | 39/50 [00:40<00:11, 1.05s/it]\n 80%|████████ | 40/50 [00:41<00:10, 1.05s/it]\n 82%|████████▏ | 41/50 [00:42<00:09, 1.05s/it]\n 84%|████████▍ | 42/50 [00:43<00:08, 1.05s/it]\n 86%|████████▌ | 43/50 [00:44<00:07, 1.05s/it]\n 88%|████████▊ | 44/50 [00:45<00:06, 1.05s/it]\n 90%|█████████ | 45/50 [00:46<00:05, 1.05s/it]\n 92%|█████████▏| 46/50 [00:48<00:04, 1.05s/it]\n 94%|█████████▍| 47/50 [00:49<00:03, 1.05s/it]\n 96%|█████████▌| 48/50 [00:50<00:02, 1.05s/it]\n 98%|█████████▊| 49/50 [00:51<00:01, 1.05s/it]\n100%|██████████| 50/50 [00:52<00:00, 1.05s/it]\n100%|██████████| 50/50 [00:52<00:00, 1.04s/it]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nNSFW content detected in image 2",
"metrics": {
"predict_time": 58.932397,
"total_time": 100.947133
},
"output": [
"https://replicate.delivery/pbxt/XFGjysHfeTrRbkg8w4I7dijG2FetKZc7VerWDMDtoKbWhLGJB/out-0.png",
"https://replicate.delivery/pbxt/W84IAP7DpvZwENQGjNvSQHG2MvfVSiz37sQ0k5r5fyTW4iRSA/out-1.png",
"https://replicate.delivery/pbxt/sjzjnpnVxTbuCxHfjQJL3sOTe3q9eKJiJ84WLQjffiCwCXMSC/out-3.png"
],
"started_at": "2024-01-30T04:32:27.906867Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/x43b5ldbhgaamj574ybxzyg7ya",
"cancel": "https://api.replicate.com/v1/predictions/x43b5ldbhgaamj574ybxzyg7ya/cancel"
},
"version": "a8c5a42791525e16873f2822930209d32aa5be254948b25ac0c330516345f479"
}Generated in
Using seed: 1678
Ensuring enough disk space...
Free disk space: 1561028825088
Downloading weights: https://replicate.delivery/pbxt/a9Dwgke1cH37XasEzdPuNwdAP9oXcpAjtfImteV9MOQtw9fIB/trained_model.tar
2024-01-30T04:32:28Z | INFO | [ Initiating ] dest=/src/weights-cache/67574d26c2eadf91 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/a9Dwgke1cH37XasEzdPuNwdAP9oXcpAjtfImteV9MOQtw9fIB/trained_model.tar
2024-01-30T04:32:28Z | INFO | [ Complete ] dest=/src/weights-cache/67574d26c2eadf91 size="186 MB" total_elapsed=0.867s url=https://replicate.delivery/pbxt/a9Dwgke1cH37XasEzdPuNwdAP9oXcpAjtfImteV9MOQtw9fIB/trained_model.tar
b''
Downloaded weights in 1.0836598873138428 seconds
Loading fine-tuned model
Does not have Unet. assume we are using LoRA
Loading Unet LoRA
Prompt: Create me Kanye west styled lego sets
txt2img mode
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Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.
NSFW content detected in image 2This output was created using a different version of the model, sambowenhughes/testing-sdx-demo-v2:a8c5a427.
Examples
Run time and cost
This model costs approximately $0.062 to run on Replicate, or 16 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 65 seconds.