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 dslteaching/alvin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"dslteaching/alvin:c1fe8d431d735dd9f5272a41af66b07797e8caef07bf2c4a3bc3251c612506f0",
{
input: {
image: "https://replicate.delivery/pbxt/MHlHZzs9tmnOIFLXP3QUY6EUzGw5t1NBkoPN9cUSkHcBaV6L/Petland_Florida_Cavalier_King_Charles_Spaniel_puppy.jpg",
model: "dev",
prompt: "A cartoon illustration in the style of AAST",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "1:1",
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 dslteaching/alvin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"dslteaching/alvin:c1fe8d431d735dd9f5272a41af66b07797e8caef07bf2c4a3bc3251c612506f0",
input={
"image": "https://replicate.delivery/pbxt/MHlHZzs9tmnOIFLXP3QUY6EUzGw5t1NBkoPN9cUSkHcBaV6L/Petland_Florida_Cavalier_King_Charles_Spaniel_puppy.jpg",
"model": "dev",
"prompt": "A cartoon illustration in the style of AAST",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"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 dslteaching/alvin 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": "dslteaching/alvin:c1fe8d431d735dd9f5272a41af66b07797e8caef07bf2c4a3bc3251c612506f0",
"input": {
"image": "https://replicate.delivery/pbxt/MHlHZzs9tmnOIFLXP3QUY6EUzGw5t1NBkoPN9cUSkHcBaV6L/Petland_Florida_Cavalier_King_Charles_Spaniel_puppy.jpg",
"model": "dev",
"prompt": "A cartoon illustration in the style of AAST",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"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.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2025-01-08T11:19:30.452196Z",
"created_at": "2025-01-08T11:19:22.388000Z",
"data_removed": false,
"error": null,
"id": "6nx7jyzw2hrme0cm8pht5qwpbc",
"input": {
"image": "https://replicate.delivery/pbxt/MHlHZzs9tmnOIFLXP3QUY6EUzGw5t1NBkoPN9cUSkHcBaV6L/Petland_Florida_Cavalier_King_Charles_Spaniel_puppy.jpg",
"model": "dev",
"prompt": "A cartoon illustration in the style of AAST",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "2025-01-08 11:19:22.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-08 11:19:22.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 95%|█████████▌| 289/304 [00:00<00:00, 2877.09it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2793.03it/s]\n2025-01-08 11:19:22.627 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=28896518746112\nDownloading weights\n2025-01-08T11:19:22Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpio0ozq8h/weights url=https://replicate.delivery/xezq/zoleyQqIJrWePk6PUFYmFaz49CcIb5IyKUQ6DEd6Qes36AGoA/trained_model.tar\n2025-01-08T11:19:25Z | INFO | [ Complete ] dest=/tmp/tmpio0ozq8h/weights size=\"644 MB\" total_elapsed=3.272s url=https://replicate.delivery/xezq/zoleyQqIJrWePk6PUFYmFaz49CcIb5IyKUQ6DEd6Qes36AGoA/trained_model.tar\nDownloaded weights in 3.32s\n2025-01-08 11:19:25.950 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7571a90d53eee5d6\n2025-01-08 11:19:26.120 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-08 11:19:26.120 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-08 11:19:26.120 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 98%|█████████▊| 298/304 [00:00<00:00, 2977.35it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2987.77it/s]\n2025-01-08 11:19:26.222 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.27s\nUsing seed: 22512\nImage detected - setting to img2img mode\nInput image size: 1000x709\nInput image size set to: 992x704\n0it [00:00, ?it/s]\n2it [00:00, 9.12it/s]\n3it [00:00, 8.23it/s]\n4it [00:00, 7.83it/s]\n5it [00:00, 7.62it/s]\n6it [00:00, 7.50it/s]\n7it [00:00, 7.41it/s]\n8it [00:01, 7.33it/s]\n9it [00:01, 7.27it/s]\n10it [00:01, 7.26it/s]\n11it [00:01, 7.25it/s]\n12it [00:01, 7.25it/s]\n13it [00:01, 7.24it/s]\n14it [00:01, 7.24it/s]\n15it [00:02, 7.23it/s]\n16it [00:02, 7.22it/s]\n17it [00:02, 7.21it/s]\n18it [00:02, 7.22it/s]\n19it [00:02, 7.22it/s]\n20it [00:02, 7.21it/s]\n21it [00:02, 7.19it/s]\n22it [00:02, 7.21it/s]\n23it [00:03, 7.20it/s]\n23it [00:03, 7.35it/s]\nTotal safe images: 1 out of 1",
"metrics": {
"predict_time": 8.056144528,
"total_time": 8.064196
},
"output": [
"https://replicate.delivery/xezq/gMfi9flb98mQhExbJiAt19N9mvahJMn3MwioYIBim0LCFBDUA/out-0.webp"
],
"started_at": "2025-01-08T11:19:22.396051Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-o6ayhkqz5inocizgv7ewgkint34p2wu6etdbwnb5ykmgppokobbq",
"get": "https://api.replicate.com/v1/predictions/6nx7jyzw2hrme0cm8pht5qwpbc",
"cancel": "https://api.replicate.com/v1/predictions/6nx7jyzw2hrme0cm8pht5qwpbc/cancel"
},
"version": "c1fe8d431d735dd9f5272a41af66b07797e8caef07bf2c4a3bc3251c612506f0"
}
2025-01-08 11:19:22.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-08 11:19:22.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 95%|█████████▌| 289/304 [00:00<00:00, 2877.09it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2793.03it/s]
2025-01-08 11:19:22.627 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=28896518746112
Downloading weights
2025-01-08T11:19:22Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpio0ozq8h/weights url=https://replicate.delivery/xezq/zoleyQqIJrWePk6PUFYmFaz49CcIb5IyKUQ6DEd6Qes36AGoA/trained_model.tar
2025-01-08T11:19:25Z | INFO | [ Complete ] dest=/tmp/tmpio0ozq8h/weights size="644 MB" total_elapsed=3.272s url=https://replicate.delivery/xezq/zoleyQqIJrWePk6PUFYmFaz49CcIb5IyKUQ6DEd6Qes36AGoA/trained_model.tar
Downloaded weights in 3.32s
2025-01-08 11:19:25.950 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7571a90d53eee5d6
2025-01-08 11:19:26.120 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-08 11:19:26.120 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-08 11:19:26.120 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 98%|█████████▊| 298/304 [00:00<00:00, 2977.35it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2987.77it/s]
2025-01-08 11:19:26.222 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.27s
Using seed: 22512
Image detected - setting to img2img mode
Input image size: 1000x709
Input image size set to: 992x704
0it [00:00, ?it/s]
2it [00:00, 9.12it/s]
3it [00:00, 8.23it/s]
4it [00:00, 7.83it/s]
5it [00:00, 7.62it/s]
6it [00:00, 7.50it/s]
7it [00:00, 7.41it/s]
8it [00:01, 7.33it/s]
9it [00:01, 7.27it/s]
10it [00:01, 7.26it/s]
11it [00:01, 7.25it/s]
12it [00:01, 7.25it/s]
13it [00:01, 7.24it/s]
14it [00:01, 7.24it/s]
15it [00:02, 7.23it/s]
16it [00:02, 7.22it/s]
17it [00:02, 7.21it/s]
18it [00:02, 7.22it/s]
19it [00:02, 7.22it/s]
20it [00:02, 7.21it/s]
21it [00:02, 7.19it/s]
22it [00:02, 7.21it/s]
23it [00:03, 7.20it/s]
23it [00:03, 7.35it/s]
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
2025-01-08 11:19:22.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-08 11:19:22.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 95%|█████████▌| 289/304 [00:00<00:00, 2877.09it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2793.03it/s]
2025-01-08 11:19:22.627 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=28896518746112
Downloading weights
2025-01-08T11:19:22Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpio0ozq8h/weights url=https://replicate.delivery/xezq/zoleyQqIJrWePk6PUFYmFaz49CcIb5IyKUQ6DEd6Qes36AGoA/trained_model.tar
2025-01-08T11:19:25Z | INFO | [ Complete ] dest=/tmp/tmpio0ozq8h/weights size="644 MB" total_elapsed=3.272s url=https://replicate.delivery/xezq/zoleyQqIJrWePk6PUFYmFaz49CcIb5IyKUQ6DEd6Qes36AGoA/trained_model.tar
Downloaded weights in 3.32s
2025-01-08 11:19:25.950 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7571a90d53eee5d6
2025-01-08 11:19:26.120 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-08 11:19:26.120 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-08 11:19:26.120 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 98%|█████████▊| 298/304 [00:00<00:00, 2977.35it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2987.77it/s]
2025-01-08 11:19:26.222 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.27s
Using seed: 22512
Image detected - setting to img2img mode
Input image size: 1000x709
Input image size set to: 992x704
0it [00:00, ?it/s]
2it [00:00, 9.12it/s]
3it [00:00, 8.23it/s]
4it [00:00, 7.83it/s]
5it [00:00, 7.62it/s]
6it [00:00, 7.50it/s]
7it [00:00, 7.41it/s]
8it [00:01, 7.33it/s]
9it [00:01, 7.27it/s]
10it [00:01, 7.26it/s]
11it [00:01, 7.25it/s]
12it [00:01, 7.25it/s]
13it [00:01, 7.24it/s]
14it [00:01, 7.24it/s]
15it [00:02, 7.23it/s]
16it [00:02, 7.22it/s]
17it [00:02, 7.21it/s]
18it [00:02, 7.22it/s]
19it [00:02, 7.22it/s]
20it [00:02, 7.21it/s]
21it [00:02, 7.19it/s]
22it [00:02, 7.21it/s]
23it [00:03, 7.20it/s]
23it [00:03, 7.35it/s]
Total safe images: 1 out of 1