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lucataco /open-dalle-v1.1:1c7d4c8d
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=lucataco/open-dalle-v1.1
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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run lucataco/open-dalle-v1.1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/open-dalle-v1.1:1c7d4c8dec39c7306df7794b28419078cb9d18b9213ab1c21fdc46a1deca0144",
{
input: {
width: 1024,
height: 1024,
prompt: "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
scheduler: "KarrasDPM",
num_outputs: 1,
guidance_scale: 7.5,
apply_watermark: true,
negative_prompt: "worst quality, low quality",
prompt_strength: 0.8,
num_inference_steps: 60
}
}
);
// 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 lucataco/open-dalle-v1.1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/open-dalle-v1.1:1c7d4c8dec39c7306df7794b28419078cb9d18b9213ab1c21fdc46a1deca0144",
input={
"width": 1024,
"height": 1024,
"prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
"scheduler": "KarrasDPM",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": True,
"negative_prompt": "worst quality, low quality",
"prompt_strength": 0.8,
"num_inference_steps": 60
}
)
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 lucataco/open-dalle-v1.1 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": "lucataco/open-dalle-v1.1:1c7d4c8dec39c7306df7794b28419078cb9d18b9213ab1c21fdc46a1deca0144",
"input": {
"width": 1024,
"height": 1024,
"prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
"scheduler": "KarrasDPM",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"negative_prompt": "worst quality, low quality",
"prompt_strength": 0.8,
"num_inference_steps": 60
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:
brew install cogIf 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/lucataco/open-dalle-v1.1@sha256:1c7d4c8dec39c7306df7794b28419078cb9d18b9213ab1c21fdc46a1deca0144 \
-i 'width=1024' \
-i 'height=1024' \
-i 'prompt="black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed"' \
-i 'scheduler="KarrasDPM"' \
-i 'num_outputs=1' \
-i 'guidance_scale=7.5' \
-i 'apply_watermark=true' \
-i 'negative_prompt="worst quality, low quality"' \
-i 'prompt_strength=0.8' \
-i 'num_inference_steps=60'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/lucataco/open-dalle-v1.1@sha256:1c7d4c8dec39c7306df7794b28419078cb9d18b9213ab1c21fdc46a1deca0144curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "width": 1024, "height": 1024, "prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed", "scheduler": "KarrasDPM", "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "negative_prompt": "worst quality, low quality", "prompt_strength": 0.8, "num_inference_steps": 60 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
Each run costs approximately $0.0044. Alternatively, try out our featured models for free.
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Output
{
"completed_at": "2023-12-27T06:50:36.581261Z",
"created_at": "2023-12-27T06:48:29.534801Z",
"data_removed": false,
"error": null,
"id": "mjmx7ctbqibebhmaauzkfkx3oq",
"input": {
"width": 1024,
"height": 1024,
"prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
"scheduler": "KarrasDPM",
"num_outputs": 1,
"guidance_scale": 7.5,
"apply_watermark": true,
"negative_prompt": "worst quality, low quality",
"prompt_strength": 0.8,
"num_inference_steps": 60
},
"logs": "Using seed: 2034103420\nPrompt: black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed\ntxt2img mode\n 0%| | 0/60 [00:00<?, ?it/s]\n 2%|▏ | 1/60 [00:00<00:18, 3.14it/s]\n 5%|▌ | 3/60 [00:00<00:11, 5.17it/s]\n 7%|▋ | 4/60 [00:00<00:11, 5.09it/s]\n 8%|▊ | 5/60 [00:01<00:10, 5.03it/s]\n 10%|█ | 6/60 [00:01<00:10, 4.99it/s]\n 12%|█▏ | 7/60 [00:01<00:10, 4.96it/s]\n 13%|█▎ | 8/60 [00:01<00:10, 4.94it/s]\n 15%|█▌ | 9/60 [00:01<00:10, 4.93it/s]\n 17%|█▋ | 10/60 [00:02<00:10, 4.92it/s]\n 18%|█▊ | 11/60 [00:02<00:09, 4.91it/s]\n 20%|██ | 12/60 [00:02<00:09, 4.91it/s]\n 22%|██▏ | 13/60 [00:02<00:09, 4.90it/s]\n 23%|██▎ | 14/60 [00:02<00:09, 4.90it/s]\n 25%|██▌ | 15/60 [00:03<00:09, 4.90it/s]\n 27%|██▋ | 16/60 [00:03<00:08, 4.90it/s]\n 28%|██▊ | 17/60 [00:03<00:08, 4.83it/s]\n 30%|███ | 18/60 [00:03<00:08, 4.83it/s]\n 32%|███▏ | 19/60 [00:03<00:08, 4.85it/s]\n 33%|███▎ | 20/60 [00:04<00:08, 4.88it/s]\n 35%|███▌ | 21/60 [00:04<00:07, 4.90it/s]\n 37%|███▋ | 22/60 [00:04<00:07, 4.90it/s]\n 38%|███▊ | 23/60 [00:04<00:07, 4.91it/s]\n 40%|████ | 24/60 [00:04<00:07, 4.91it/s]\n 42%|████▏ | 25/60 [00:05<00:07, 4.92it/s]\n 43%|████▎ | 26/60 [00:05<00:06, 4.92it/s]\n 45%|████▌ | 27/60 [00:05<00:06, 4.92it/s]\n 47%|████▋ | 28/60 [00:05<00:06, 4.92it/s]\n 48%|████▊ | 29/60 [00:05<00:06, 4.92it/s]\n 50%|█████ | 30/60 [00:06<00:06, 4.92it/s]\n 52%|█████▏ | 31/60 [00:06<00:05, 4.92it/s]\n 53%|█████▎ | 32/60 [00:06<00:05, 4.92it/s]\n 55%|█████▌ | 33/60 [00:06<00:05, 4.92it/s]\n 57%|█████▋ | 34/60 [00:06<00:05, 4.92it/s]\n 58%|█████▊ | 35/60 [00:07<00:05, 4.92it/s]\n 60%|██████ | 36/60 [00:07<00:04, 4.92it/s]\n 62%|██████▏ | 37/60 [00:07<00:04, 4.92it/s]\n 63%|██████▎ | 38/60 [00:07<00:04, 4.92it/s]\n 65%|██████▌ | 39/60 [00:07<00:04, 4.92it/s]\n 67%|██████▋ | 40/60 [00:08<00:04, 4.92it/s]\n 68%|██████▊ | 41/60 [00:08<00:03, 4.91it/s]\n 70%|███████ | 42/60 [00:08<00:03, 4.91it/s]\n 72%|███████▏ | 43/60 [00:08<00:03, 4.91it/s]\n 73%|███████▎ | 44/60 [00:08<00:03, 4.91it/s]\n 75%|███████▌ | 45/60 [00:09<00:03, 4.91it/s]\n 77%|███████▋ | 46/60 [00:09<00:02, 4.91it/s]\n 78%|███████▊ | 47/60 [00:09<00:02, 4.91it/s]\n 80%|████████ | 48/60 [00:09<00:02, 4.91it/s]\n 82%|████████▏ | 49/60 [00:09<00:02, 4.90it/s]\n 83%|████████▎ | 50/60 [00:10<00:02, 4.91it/s]\n 85%|████████▌ | 51/60 [00:10<00:01, 4.91it/s]\n 87%|████████▋ | 52/60 [00:10<00:01, 4.91it/s]\n 88%|████████▊ | 53/60 [00:10<00:01, 4.90it/s]\n 90%|█████████ | 54/60 [00:11<00:01, 4.90it/s]\n 92%|█████████▏| 55/60 [00:11<00:01, 4.90it/s]\n 93%|█████████▎| 56/60 [00:11<00:00, 4.90it/s]\n 95%|█████████▌| 57/60 [00:11<00:00, 4.91it/s]\n 97%|█████████▋| 58/60 [00:11<00:00, 4.90it/s]\n 98%|█████████▊| 59/60 [00:12<00:00, 4.90it/s]\n100%|██████████| 60/60 [00:12<00:00, 4.91it/s]\n100%|██████████| 60/60 [00:12<00:00, 4.90it/s]",
"metrics": {
"predict_time": 14.356088,
"total_time": 127.04646
},
"output": [
"https://replicate.delivery/pbxt/7QcJQaHWyoqbDJxOHReq5UtphruA3RfbLvK1NhSYXVq7sXGSA/out-0.png"
],
"started_at": "2023-12-27T06:50:22.225173Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/mjmx7ctbqibebhmaauzkfkx3oq",
"cancel": "https://api.replicate.com/v1/predictions/mjmx7ctbqibebhmaauzkfkx3oq/cancel"
},
"version": "1c7d4c8dec39c7306df7794b28419078cb9d18b9213ab1c21fdc46a1deca0144"
}Generated in
Using seed: 2034103420
Prompt: black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed
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