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 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 doctorparadox/suffragettes using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"doctorparadox/suffragettes:051000f0ac2748b1bc02ced661fbdfbf2c4278eb496c21ab463c46d928d1d712",
{
input: {
model: "dev",
prompt: "old timey women are lined up outside woodrow wilson's white house picketing with signs for women's SUFFRAGE",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "16:9",
output_format: "webp",
guidance_scale: 3,
output_quality: 80,
prompt_strength: 0.8,
extra_lora_scale: 1,
num_inference_steps: 28
}
}
);
// 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 doctorparadox/suffragettes using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"doctorparadox/suffragettes:051000f0ac2748b1bc02ced661fbdfbf2c4278eb496c21ab463c46d928d1d712",
input={
"model": "dev",
"prompt": "old timey women are lined up outside woodrow wilson's white house picketing with signs for women's SUFFRAGE",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
)
# 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=<paste-your-token-here>
Find your API token in your account settings.
Run doctorparadox/suffragettes 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": "doctorparadox/suffragettes:051000f0ac2748b1bc02ced661fbdfbf2c4278eb496c21ab463c46d928d1d712",
"input": {
"model": "dev",
"prompt": "old timey women are lined up outside woodrow wilson\'s white house picketing with signs for women\'s SUFFRAGE",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
}' \
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.
Run this to download the model and run it in your local environment:
cog predict r8.im/doctorparadox/suffragettes@sha256:051000f0ac2748b1bc02ced661fbdfbf2c4278eb496c21ab463c46d928d1d712 \
-i 'model="dev"' \
-i $'prompt="old timey women are lined up outside woodrow wilson\'s white house picketing with signs for women\'s SUFFRAGE"' \
-i 'go_fast=false' \
-i 'lora_scale=1' \
-i 'megapixels="1"' \
-i 'num_outputs=1' \
-i 'aspect_ratio="16:9"' \
-i 'output_format="webp"' \
-i 'guidance_scale=3' \
-i 'output_quality=80' \
-i 'prompt_strength=0.8' \
-i 'extra_lora_scale=1' \
-i 'num_inference_steps=28'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/doctorparadox/suffragettes@sha256:051000f0ac2748b1bc02ced661fbdfbf2c4278eb496c21ab463c46d928d1d712
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "model": "dev", "prompt": "old timey women are lined up outside woodrow wilson\'s white house picketing with signs for women\'s SUFFRAGE", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2025-03-02T21:31:41.658420Z",
"created_at": "2025-03-02T21:31:31.708000Z",
"data_removed": false,
"error": null,
"id": "2jv6ddvszhrmc0cnb32v1pxxec",
"input": {
"model": "dev",
"prompt": "old timey women are lined up outside woodrow wilson's white house picketing with signs for women's SUFFRAGE",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "free=28336237043712\nDownloading weights\n2025-03-02T21:31:31Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp2_0df0vx/weights url=https://replicate.delivery/xezq/effW1Zofb8rOJQRBTS1zQfi8Lbvb0fNuqw7QTVc6fcnvu9TKKA/trained_model.tar\n2025-03-02T21:31:33Z | INFO | [ Complete ] dest=/tmp/tmp2_0df0vx/weights size=\"172 MB\" total_elapsed=2.166s url=https://replicate.delivery/xezq/effW1Zofb8rOJQRBTS1zQfi8Lbvb0fNuqw7QTVc6fcnvu9TKKA/trained_model.tar\nDownloaded weights in 2.19s\nLoaded LoRAs in 2.75s\nUsing seed: 61060\nPrompt: old timey women are lined up outside woodrow wilson's white house picketing with signs for women's SUFFRAGE\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.04it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.56it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.31it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.20it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.14it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.10it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 4.08it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.07it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.06it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.06it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.05it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.05it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 4.05it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.04it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 4.04it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.04it/s]\n 61%|██████ | 17/28 [00:04<00:02, 4.04it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.04it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.04it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.04it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 4.04it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 4.04it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.04it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.04it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 4.04it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 4.04it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.04it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.04it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.07it/s]\nTotal safe images: 1 out of 1",
"metrics": {
"predict_time": 9.916391935,
"total_time": 9.95042
},
"output": [
"https://replicate.delivery/xezq/A6TkbeCrvkQDaCBcodKvAPJGFzwYykBLacnjX6vhuBheAoUUA/out-0.webp"
],
"started_at": "2025-03-02T21:31:31.742028Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-5hicdq3mhmwnubd2vu6dtnnjxs6rptgccwfyzgpkakdevizxhs7a",
"get": "https://api.replicate.com/v1/predictions/2jv6ddvszhrmc0cnb32v1pxxec",
"cancel": "https://api.replicate.com/v1/predictions/2jv6ddvszhrmc0cnb32v1pxxec/cancel"
},
"version": "051000f0ac2748b1bc02ced661fbdfbf2c4278eb496c21ab463c46d928d1d712"
}
free=28336237043712
Downloading weights
2025-03-02T21:31:31Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp2_0df0vx/weights url=https://replicate.delivery/xezq/effW1Zofb8rOJQRBTS1zQfi8Lbvb0fNuqw7QTVc6fcnvu9TKKA/trained_model.tar
2025-03-02T21:31:33Z | INFO | [ Complete ] dest=/tmp/tmp2_0df0vx/weights size="172 MB" total_elapsed=2.166s url=https://replicate.delivery/xezq/effW1Zofb8rOJQRBTS1zQfi8Lbvb0fNuqw7QTVc6fcnvu9TKKA/trained_model.tar
Downloaded weights in 2.19s
Loaded LoRAs in 2.75s
Using seed: 61060
Prompt: old timey women are lined up outside woodrow wilson's white house picketing with signs for women's SUFFRAGE
[!] txt2img mode
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Total safe images: 1 out of 1
This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.
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 runs on H100 hardware which costs $0.001525 per second. 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
free=28336237043712
Downloading weights
2025-03-02T21:31:31Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp2_0df0vx/weights url=https://replicate.delivery/xezq/effW1Zofb8rOJQRBTS1zQfi8Lbvb0fNuqw7QTVc6fcnvu9TKKA/trained_model.tar
2025-03-02T21:31:33Z | INFO | [ Complete ] dest=/tmp/tmp2_0df0vx/weights size="172 MB" total_elapsed=2.166s url=https://replicate.delivery/xezq/effW1Zofb8rOJQRBTS1zQfi8Lbvb0fNuqw7QTVc6fcnvu9TKKA/trained_model.tar
Downloaded weights in 2.19s
Loaded LoRAs in 2.75s
Using seed: 61060
Prompt: old timey women are lined up outside woodrow wilson's white house picketing with signs for women's SUFFRAGE
[!] txt2img mode
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Total safe images: 1 out of 1