arcanite24
/
animation2k-flux
Flux lora inspired by early 2000s animation movies, use 1.2 guidance
- Public
- 410 runs
-
H100
- Paper
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";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run arcanite24/animation2k-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"arcanite24/animation2k-flux:7faf97cc1a7a52c818dd408caf4a604b62c6c5a980b0c048bb09357379b00d9d",
{
input: {
model: "dev",
prompt: "A cheerful corgi, wearing a vibrant party hat with colorful streamers, and a pair of oversized, reflective sunglasses. The corgi's tongue is playfully sticking out, and its ears are perked up with excitement. The background is filled with festive decorations, including balloons and confetti in a variety of bright colors. The overall scene captures a lively and joyful celebration, with the corgi at the center, radiating energy and fun.",
go_fast: false,
lora_scale: 1.2,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "1:1",
output_format: "webp",
guidance_scale: 3.5,
output_quality: 90,
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 arcanite24/animation2k-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"arcanite24/animation2k-flux:7faf97cc1a7a52c818dd408caf4a604b62c6c5a980b0c048bb09357379b00d9d",
input={
"model": "dev",
"prompt": "A cheerful corgi, wearing a vibrant party hat with colorful streamers, and a pair of oversized, reflective sunglasses. The corgi's tongue is playfully sticking out, and its ears are perked up with excitement. The background is filled with festive decorations, including balloons and confetti in a variety of bright colors. The overall scene captures a lively and joyful celebration, with the corgi at the center, radiating energy and fun.",
"go_fast": False,
"lora_scale": 1.2,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
)
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 arcanite24/animation2k-flux 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": "7faf97cc1a7a52c818dd408caf4a604b62c6c5a980b0c048bb09357379b00d9d",
"input": {
"model": "dev",
"prompt": "A cheerful corgi, wearing a vibrant party hat with colorful streamers, and a pair of oversized, reflective sunglasses. The corgi\'s tongue is playfully sticking out, and its ears are perked up with excitement. The background is filled with festive decorations, including balloons and confetti in a variety of bright colors. The overall scene captures a lively and joyful celebration, with the corgi at the center, radiating energy and fun.",
"go_fast": false,
"lora_scale": 1.2,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"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/arcanite24/animation2k-flux@sha256:7faf97cc1a7a52c818dd408caf4a604b62c6c5a980b0c048bb09357379b00d9d \
-i 'model="dev"' \
-i $'prompt="A cheerful corgi, wearing a vibrant party hat with colorful streamers, and a pair of oversized, reflective sunglasses. The corgi\'s tongue is playfully sticking out, and its ears are perked up with excitement. The background is filled with festive decorations, including balloons and confetti in a variety of bright colors. The overall scene captures a lively and joyful celebration, with the corgi at the center, radiating energy and fun."' \
-i 'go_fast=false' \
-i 'lora_scale=1.2' \
-i 'megapixels="1"' \
-i 'num_outputs=1' \
-i 'aspect_ratio="1:1"' \
-i 'output_format="webp"' \
-i 'guidance_scale=3.5' \
-i 'output_quality=90' \
-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/arcanite24/animation2k-flux@sha256:7faf97cc1a7a52c818dd408caf4a604b62c6c5a980b0c048bb09357379b00d9d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "model": "dev", "prompt": "A cheerful corgi, wearing a vibrant party hat with colorful streamers, and a pair of oversized, reflective sunglasses. The corgi\'s tongue is playfully sticking out, and its ears are perked up with excitement. The background is filled with festive decorations, including balloons and confetti in a variety of bright colors. The overall scene captures a lively and joyful celebration, with the corgi at the center, radiating energy and fun.", "go_fast": false, "lora_scale": 1.2, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "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.
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terms of service and privacy policy
Output
{
"completed_at": "2024-08-19T22:54:48.520577Z",
"created_at": "2024-08-19T22:54:40.093000Z",
"data_removed": false,
"error": null,
"id": "peam0km3vnrm00chdkcs0r6c04",
"input": {
"model": "dev",
"prompt": "A cheerful corgi, wearing a vibrant party hat with colorful streamers, and a pair of oversized, reflective sunglasses. The corgi's tongue is playfully sticking out, and its ears are perked up with excitement. The background is filled with festive decorations, including balloons and confetti in a variety of bright colors. The overall scene captures a lively and joyful celebration, with the corgi at the center, radiating energy and fun.",
"lora_scale": 1.2,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"num_inference_steps": 28
},
"logs": "Using seed: 33516\nPrompt: A cheerful corgi, wearing a vibrant party hat with colorful streamers, and a pair of oversized, reflective sunglasses. The corgi's tongue is playfully sticking out, and its ears are perked up with excitement. The background is filled with festive decorations, including balloons and confetti in a variety of bright colors. The overall scene captures a lively and joyful celebration, with the corgi at the center, radiating energy and fun.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['the center, radiating energy and fun.']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.54it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.97it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.76it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.66it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.62it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.60it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.58it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.57it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.56it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.56it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.55it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.53it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.55it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.55it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.54it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.54it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.54it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.54it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.54it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.54it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.54it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.54it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.54it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.54it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.56it/s]",
"metrics": {
"predict_time": 8.393134605,
"total_time": 8.427577
},
"output": [
"https://replicate.delivery/yhqm/J6c7VcEAmQbSH13iPPcyjZsDlbBF3utX9D13okfEFQXceXUTA/out-0.webp"
],
"started_at": "2024-08-19T22:54:40.127442Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/peam0km3vnrm00chdkcs0r6c04",
"cancel": "https://api.replicate.com/v1/predictions/peam0km3vnrm00chdkcs0r6c04/cancel"
},
"version": "7faf97cc1a7a52c818dd408caf4a604b62c6c5a980b0c048bb09357379b00d9d"
}
Using seed: 33516
Prompt: A cheerful corgi, wearing a vibrant party hat with colorful streamers, and a pair of oversized, reflective sunglasses. The corgi's tongue is playfully sticking out, and its ears are perked up with excitement. The background is filled with festive decorations, including balloons and confetti in a variety of bright colors. The overall scene captures a lively and joyful celebration, with the corgi at the center, radiating energy and fun.
txt2img mode
Using dev model
Loading LoRA weights
weights already loaded!
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['the center, radiating energy and fun.']
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Examples
Run time and cost
This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.