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aisha-ai-official /dvine-v3.4:f864be7e
Input
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 aisha-ai-official/dvine-v3.4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"aisha-ai-official/dvine-v3.4:f864be7e670bb761a0369fafc6349060d8ff2b8ee7676432277c286c787c060c",
{
input: {
vae: "default",
seed: -1,
model: "Dvine-v3.4",
steps: 40,
width: 1024,
height: 1024,
prompt: "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup",
cfg_scale: 7,
clip_skip: 2,
pag_scale: 0,
scheduler: "Euler a",
batch_size: 1,
negative_prompt: "nsfw, naked",
guidance_rescale: 1,
prepend_preprompt: true
}
}
);
// 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 aisha-ai-official/dvine-v3.4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"aisha-ai-official/dvine-v3.4:f864be7e670bb761a0369fafc6349060d8ff2b8ee7676432277c286c787c060c",
input={
"vae": "default",
"seed": -1,
"model": "Dvine-v3.4",
"steps": 40,
"width": 1024,
"height": 1024,
"prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup",
"cfg_scale": 7,
"clip_skip": 2,
"pag_scale": 0,
"scheduler": "Euler a",
"batch_size": 1,
"negative_prompt": "nsfw, naked",
"guidance_rescale": 1,
"prepend_preprompt": True
}
)
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 aisha-ai-official/dvine-v3.4 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": "aisha-ai-official/dvine-v3.4:f864be7e670bb761a0369fafc6349060d8ff2b8ee7676432277c286c787c060c",
"input": {
"vae": "default",
"seed": -1,
"model": "Dvine-v3.4",
"steps": 40,
"width": 1024,
"height": 1024,
"prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup",
"cfg_scale": 7,
"clip_skip": 2,
"pag_scale": 0,
"scheduler": "Euler a",
"batch_size": 1,
"negative_prompt": "nsfw, naked",
"guidance_rescale": 1,
"prepend_preprompt": true
}
}' \
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/aisha-ai-official/dvine-v3.4@sha256:f864be7e670bb761a0369fafc6349060d8ff2b8ee7676432277c286c787c060c \
-i 'vae="default"' \
-i 'seed=-1' \
-i 'model="Dvine-v3.4"' \
-i 'steps=40' \
-i 'width=1024' \
-i 'height=1024' \
-i 'prompt="cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup"' \
-i 'cfg_scale=7' \
-i 'clip_skip=2' \
-i 'pag_scale=0' \
-i 'scheduler="Euler a"' \
-i 'batch_size=1' \
-i 'negative_prompt="nsfw, naked"' \
-i 'guidance_rescale=1' \
-i 'prepend_preprompt=true'
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/aisha-ai-official/dvine-v3.4@sha256:f864be7e670bb761a0369fafc6349060d8ff2b8ee7676432277c286c787c060c
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "vae": "default", "seed": -1, "model": "Dvine-v3.4", "steps": 40, "width": 1024, "height": 1024, "prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup", "cfg_scale": 7, "clip_skip": 2, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 1, "prepend_preprompt": true } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
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Output
{
"completed_at": "2025-02-27T02:08:12.193636Z",
"created_at": "2025-02-27T02:08:05.286000Z",
"data_removed": false,
"error": null,
"id": "zdd0dmhwmsrmc0cn8mmt09g57g",
"input": {
"vae": "default",
"seed": -1,
"model": "Dvine-v3.4",
"steps": 40,
"width": 1024,
"height": 1024,
"prompt": "cafe, waifu, 1girl, blonde, blue eyes, beauty, bunny cosplay, waitress, seductive, closeup",
"cfg_scale": 7,
"clip_skip": 2,
"pag_scale": 0,
"scheduler": "Euler a",
"batch_size": 1,
"negative_prompt": "nsfw, naked",
"guidance_rescale": 1,
"prepend_preprompt": true
},
"logs": "Using text to image mode.\nUsing seed: 1669974694\n 0%| | 0/40 [00:00<?, ?it/s]\n 5%|▌ | 2/40 [00:00<00:03, 12.17it/s]\n 10%|█ | 4/40 [00:00<00:03, 10.00it/s]\n 15%|█▌ | 6/40 [00:00<00:03, 9.47it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 9.31it/s]\n 20%|██ | 8/40 [00:00<00:03, 9.20it/s]\n 22%|██▎ | 9/40 [00:00<00:03, 9.11it/s]\n 25%|██▌ | 10/40 [00:01<00:03, 9.04it/s]\n 28%|██▊ | 11/40 [00:01<00:03, 9.00it/s]\n 30%|███ | 12/40 [00:01<00:03, 8.96it/s]\n 32%|███▎ | 13/40 [00:01<00:03, 8.93it/s]\n 35%|███▌ | 14/40 [00:01<00:02, 8.91it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 8.89it/s]\n 40%|████ | 16/40 [00:01<00:02, 8.88it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 8.88it/s]\n 45%|████▌ | 18/40 [00:01<00:02, 8.87it/s]\n 48%|████▊ | 19/40 [00:02<00:02, 8.87it/s]\n 50%|█████ | 20/40 [00:02<00:02, 8.86it/s]\n 52%|█████▎ | 21/40 [00:02<00:02, 8.86it/s]\n 55%|█████▌ | 22/40 [00:02<00:02, 8.85it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 8.86it/s]\n 60%|██████ | 24/40 [00:02<00:01, 8.86it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 8.86it/s]\n 65%|██████▌ | 26/40 [00:02<00:01, 8.85it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 8.85it/s]\n 70%|███████ | 28/40 [00:03<00:01, 8.85it/s]\n 72%|███████▎ | 29/40 [00:03<00:01, 8.84it/s]\n 75%|███████▌ | 30/40 [00:03<00:01, 8.84it/s]\n 78%|███████▊ | 31/40 [00:03<00:01, 8.84it/s]\n 80%|████████ | 32/40 [00:03<00:00, 8.84it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 8.84it/s]\n 85%|████████▌ | 34/40 [00:03<00:00, 8.84it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 8.84it/s]\n 90%|█████████ | 36/40 [00:04<00:00, 8.84it/s]\n 92%|█████████▎| 37/40 [00:04<00:00, 8.82it/s]\n 95%|█████████▌| 38/40 [00:04<00:00, 8.82it/s]\n 98%|█████████▊| 39/40 [00:04<00:00, 8.82it/s]\n100%|██████████| 40/40 [00:04<00:00, 8.82it/s]\n100%|██████████| 40/40 [00:04<00:00, 8.98it/s]",
"metrics": {
"predict_time": 6.881446926,
"total_time": 6.907636
},
"output": [
"https://replicate.delivery/xezq/CWi5yqHUQT52N98DlhC4Zrf4OEgtoN96BH4vjXKI9MaG2rJKA/0.png"
],
"started_at": "2025-02-27T02:08:05.312189Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-3fyaxe4tf3xxsyupdoicvjqklo5ogo4ibqt3mmbnlvf5xm6y6iua",
"get": "https://api.replicate.com/v1/predictions/zdd0dmhwmsrmc0cn8mmt09g57g",
"cancel": "https://api.replicate.com/v1/predictions/zdd0dmhwmsrmc0cn8mmt09g57g/cancel"
},
"version": "f864be7e670bb761a0369fafc6349060d8ff2b8ee7676432277c286c787c060c"
}
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