Readme
My own personal fork of Stable Diffusion
My own personal fork of Stable Diffusion
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 zeke/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"zeke/stable-diffusion:3783d855139091e4d753c5964ac9bf8bb6a7c651cae6c77a71888776be2c066a",
{
input: {
width: 768,
height: 768,
prompt: "a photo of an astronaut riding a horse on mars",
scheduler: "DPMSolverMultistep",
num_outputs: 1,
guidance_scale: 7.5,
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 zeke/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"zeke/stable-diffusion:3783d855139091e4d753c5964ac9bf8bb6a7c651cae6c77a71888776be2c066a",
input={
"width": 768,
"height": 768,
"prompt": "a photo of an astronaut riding a horse on mars",
"scheduler": "DPMSolverMultistep",
"num_outputs": 1,
"guidance_scale": 7.5,
"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 zeke/stable-diffusion 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": "zeke/stable-diffusion:3783d855139091e4d753c5964ac9bf8bb6a7c651cae6c77a71888776be2c066a",
"input": {
"width": 768,
"height": 768,
"prompt": "a photo of an astronaut riding a horse on mars",
"scheduler": "DPMSolverMultistep",
"num_outputs": 1,
"guidance_scale": 7.5,
"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": "2023-02-16T22:03:30.664674Z",
"created_at": "2023-02-16T22:00:06.057295Z",
"data_removed": false,
"error": null,
"id": "mdfx5rc2ejajldyh5otmblcz3m",
"input": {
"width": 768,
"height": 768,
"prompt": "a photo of an astronaut riding a horse on mars",
"scheduler": "DPMSolverMultistep",
"num_outputs": 1,
"guidance_scale": 7.5,
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"logs": "Using seed: 28402\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:03<02:41, 3.30s/it]\n 4%|▍ | 2/50 [00:03<01:12, 1.51s/it]\n 6%|▌ | 3/50 [00:03<00:44, 1.06it/s]\n 8%|▊ | 4/50 [00:04<00:30, 1.49it/s]\n 10%|█ | 5/50 [00:04<00:23, 1.91it/s]\n 12%|█▏ | 6/50 [00:04<00:19, 2.30it/s]\n 14%|█▍ | 7/50 [00:04<00:16, 2.65it/s]\n 16%|█▌ | 8/50 [00:05<00:14, 2.94it/s]\n 18%|█▊ | 9/50 [00:05<00:12, 3.17it/s]\n 20%|██ | 10/50 [00:05<00:11, 3.35it/s]\n 22%|██▏ | 11/50 [00:05<00:11, 3.48it/s]\n 24%|██▍ | 12/50 [00:06<00:10, 3.58it/s]\n 26%|██▌ | 13/50 [00:06<00:10, 3.65it/s]\n 28%|██▊ | 14/50 [00:06<00:09, 3.71it/s]\n 30%|███ | 15/50 [00:06<00:09, 3.74it/s]\n 32%|███▏ | 16/50 [00:07<00:09, 3.77it/s]\n 34%|███▍ | 17/50 [00:07<00:08, 3.79it/s]\n 36%|███▌ | 18/50 [00:07<00:08, 3.80it/s]\n 38%|███▊ | 19/50 [00:07<00:08, 3.81it/s]\n 40%|████ | 20/50 [00:08<00:07, 3.79it/s]\n 42%|████▏ | 21/50 [00:08<00:07, 3.81it/s]\n 44%|████▍ | 22/50 [00:08<00:07, 3.82it/s]\n 46%|████▌ | 23/50 [00:09<00:07, 3.83it/s]\n 48%|████▊ | 24/50 [00:09<00:06, 3.83it/s]\n 50%|█████ | 25/50 [00:09<00:06, 3.83it/s]\n 52%|█████▏ | 26/50 [00:09<00:06, 3.83it/s]\n 54%|█████▍ | 27/50 [00:10<00:05, 3.83it/s]\n 56%|█████▌ | 28/50 [00:10<00:05, 3.84it/s]\n 58%|█████▊ | 29/50 [00:10<00:05, 3.84it/s]\n 60%|██████ | 30/50 [00:10<00:05, 3.84it/s]\n 62%|██████▏ | 31/50 [00:11<00:04, 3.84it/s]\n 64%|██████▍ | 32/50 [00:11<00:04, 3.85it/s]\n 66%|██████▌ | 33/50 [00:11<00:04, 3.85it/s]\n 68%|██████▊ | 34/50 [00:11<00:04, 3.85it/s]\n 70%|███████ | 35/50 [00:12<00:03, 3.85it/s]\n 72%|███████▏ | 36/50 [00:12<00:03, 3.84it/s]\n 74%|███████▍ | 37/50 [00:12<00:03, 3.85it/s]\n 76%|███████▌ | 38/50 [00:12<00:03, 3.85it/s]\n 78%|███████▊ | 39/50 [00:13<00:02, 3.84it/s]\n 80%|████████ | 40/50 [00:13<00:02, 3.84it/s]\n 82%|████████▏ | 41/50 [00:13<00:02, 3.84it/s]\n 84%|████████▍ | 42/50 [00:13<00:02, 3.84it/s]\n 86%|████████▌ | 43/50 [00:14<00:01, 3.84it/s]\n 88%|████████▊ | 44/50 [00:14<00:01, 3.84it/s]\n 90%|█████████ | 45/50 [00:14<00:01, 3.84it/s]\n 92%|█████████▏| 46/50 [00:15<00:01, 3.84it/s]\n 94%|█████████▍| 47/50 [00:15<00:00, 3.84it/s]\n 96%|█████████▌| 48/50 [00:15<00:00, 3.84it/s]\n 98%|█████████▊| 49/50 [00:15<00:00, 3.84it/s]\n100%|██████████| 50/50 [00:16<00:00, 3.84it/s]\n100%|██████████| 50/50 [00:16<00:00, 3.11it/s]",
"metrics": {
"predict_time": 18.122246,
"total_time": 204.607379
},
"output": [
"https://replicate.delivery/pbxt/g17CvqM6ufUiX6bnjPpfEdD9AmPLGVKK4cABl0tuhxlxoFfgA/out-0.png"
],
"started_at": "2023-02-16T22:03:12.542428Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/mdfx5rc2ejajldyh5otmblcz3m",
"cancel": "https://api.replicate.com/v1/predictions/mdfx5rc2ejajldyh5otmblcz3m/cancel"
},
"version": "9b944f19fddf79ea2dcc371c9355789ba534355732b7a91ffb307c4f39129c6f"
}
Using seed: 28402
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This output was created using a different version of the model, zeke/stable-diffusion:9b944f19.
This model costs approximately $0.083 to run on Replicate, or 12 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 A100 (80GB) GPU hardware. Predictions typically complete within 60 seconds. The predict time for this model varies significantly based on the inputs.
My own personal fork of Stable Diffusion
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.
This model costs approximately $0.083 to run on Replicate, but this varies depending on your inputs. View more.
Using seed: 28402
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