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lucataco /wan2.1-i2v-lora:f130c663
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=lucataco/wan2.1-i2v-lora
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/wan2.1-i2v-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/wan2.1-i2v-lora:f130c663a974802a8e5826a49b82064a27d5ffeec8f008ae3195a70e49527a97",
{
input: {
fps: 16,
image: "https://replicate.delivery/pbxt/Mf7Um7V1nQjebWjOi3RndihR5sK95269LxZDY8s17mqW5jda/dog-1024.png",
prompt: "In the video, a miniature dog is presented. The dog is held in a person's hands. The person then presses on the dog, causing a sq41sh squish effect. The person keeps pressing down on the dog, further showing the sq41sh squish effect.",
duration: 3,
lora_url: "https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors",
resize_mode: "auto",
lora_strength: 1,
guidance_scale: 5,
negative_prompt: "low quality, bad quality, blurry, pixelated, watermark",
num_inference_steps: 40
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output);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/wan2.1-i2v-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/wan2.1-i2v-lora:f130c663a974802a8e5826a49b82064a27d5ffeec8f008ae3195a70e49527a97",
input={
"fps": 16,
"image": "https://replicate.delivery/pbxt/Mf7Um7V1nQjebWjOi3RndihR5sK95269LxZDY8s17mqW5jda/dog-1024.png",
"prompt": "In the video, a miniature dog is presented. The dog is held in a person's hands. The person then presses on the dog, causing a sq41sh squish effect. The person keeps pressing down on the dog, further showing the sq41sh squish effect.",
"duration": 3,
"lora_url": "https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors",
"resize_mode": "auto",
"lora_strength": 1,
"guidance_scale": 5,
"negative_prompt": "low quality, bad quality, blurry, pixelated, watermark",
"num_inference_steps": 40
}
)
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/wan2.1-i2v-lora 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/wan2.1-i2v-lora:f130c663a974802a8e5826a49b82064a27d5ffeec8f008ae3195a70e49527a97",
"input": {
"fps": 16,
"image": "https://replicate.delivery/pbxt/Mf7Um7V1nQjebWjOi3RndihR5sK95269LxZDY8s17mqW5jda/dog-1024.png",
"prompt": "In the video, a miniature dog is presented. The dog is held in a person\'s hands. The person then presses on the dog, causing a sq41sh squish effect. The person keeps pressing down on the dog, further showing the sq41sh squish effect.",
"duration": 3,
"lora_url": "https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors",
"resize_mode": "auto",
"lora_strength": 1,
"guidance_scale": 5,
"negative_prompt": "low quality, bad quality, blurry, pixelated, watermark",
"num_inference_steps": 40
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
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Output
{
"completed_at": "2025-03-15T07:09:14.636690Z",
"created_at": "2025-03-15T07:05:10.835000Z",
"data_removed": false,
"error": null,
"id": "p0xwwxqvpdrj00cnk2fawv6kbr",
"input": {
"fps": 16,
"image": "https://replicate.delivery/pbxt/Mf7Um7V1nQjebWjOi3RndihR5sK95269LxZDY8s17mqW5jda/dog-1024.png",
"prompt": "In the video, a miniature dog is presented. The dog is held in a person's hands. The person then presses on the dog, causing a sq41sh squish effect. The person keeps pressing down on the dog, further showing the sq41sh squish effect.",
"duration": 3,
"lora_url": "https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors",
"resize_mode": "auto",
"lora_strength": 1,
"guidance_scale": 5,
"negative_prompt": "low quality, bad quality, blurry, pixelated, watermark",
"num_inference_steps": 40
},
"logs": "Starting prediction with: prompt='In the video, a miniature dog is presented. The dog is held in a person's hands. The person then presses on the dog, causing a sq41sh squish effect. The person keeps pressing down on the dog, further showing the sq41sh squish effect.', lora_strength=1.0, duration=3.0s\nCalculated 49 frames for 3.0s at 16 fps\nLoading input image from: /tmp/tmpl6fn4nyqdog-1024.png\nImage loaded successfully: 1001x991\nAuto-selected fixed square dimensions: 512x512 for aspect ratio 0.99\nFinal dimensions: 512x512\nDownloading LoRA from: https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors\nDownloading from HuggingFace: repo_id=Remade-AI/Squish, filename=squish_18.safetensors\nLoading LoRA weights from: /root/.cache/huggingface/hub/models--Remade-AI--Squish/snapshots/70e32c7d833743c88352e2ac973968417fb5b051/squish_18.safetensors with strength: 1.0\nLoRA weights loaded successfully\nStarting video generation: 49 frames, 40 steps, guidance=5.0\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:05<03:48, 5.87s/it]\n 5%|▌ | 2/40 [00:11<03:31, 5.55s/it]\n 8%|▊ | 3/40 [00:17<03:31, 5.71s/it]\n 10%|█ | 4/40 [00:22<03:28, 5.78s/it]\n 12%|█▎ | 5/40 [00:28<03:23, 5.82s/it]\n 15%|█▌ | 6/40 [00:34<03:19, 5.85s/it]\n 18%|█▊ | 7/40 [00:40<03:13, 5.87s/it]\n 20%|██ | 8/40 [00:46<03:08, 5.89s/it]\n 22%|██▎ | 9/40 [00:52<03:02, 5.90s/it]\n 25%|██▌ | 10/40 [00:58<02:57, 5.91s/it]\n 28%|██▊ | 11/40 [01:04<02:51, 5.91s/it]\n 30%|███ | 12/40 [01:10<02:45, 5.92s/it]\n 32%|███▎ | 13/40 [01:16<02:39, 5.92s/it]\n 35%|███▌ | 14/40 [01:22<02:33, 5.92s/it]\n 38%|███▊ | 15/40 [01:28<02:28, 5.92s/it]\n 40%|████ | 16/40 [01:34<02:22, 5.92s/it]\n 42%|████▎ | 17/40 [01:39<02:16, 5.92s/it]\n 45%|████▌ | 18/40 [01:45<02:10, 5.92s/it]\n 48%|████▊ | 19/40 [01:51<02:04, 5.92s/it]\n 50%|█████ | 20/40 [01:57<01:58, 5.92s/it]\n 52%|█████▎ | 21/40 [02:03<01:52, 5.92s/it]\n 55%|█████▌ | 22/40 [02:09<01:46, 5.92s/it]\n 57%|█████▊ | 23/40 [02:15<01:40, 5.92s/it]\n 60%|██████ | 24/40 [02:21<01:34, 5.92s/it]\n 62%|██████▎ | 25/40 [02:27<01:28, 5.92s/it]\n 65%|██████▌ | 26/40 [02:33<01:22, 5.92s/it]\n 68%|██████▊ | 27/40 [02:39<01:17, 5.92s/it]\n 70%|███████ | 28/40 [02:45<01:11, 5.93s/it]\n 72%|███████▎ | 29/40 [02:51<01:05, 5.92s/it]\n 75%|███████▌ | 30/40 [02:56<00:59, 5.93s/it]\n 78%|███████▊ | 31/40 [03:02<00:53, 5.93s/it]\n 80%|████████ | 32/40 [03:08<00:47, 5.92s/it]\n 82%|████████▎ | 33/40 [03:14<00:41, 5.93s/it]\n 85%|████████▌ | 34/40 [03:20<00:35, 5.92s/it]\n 88%|████████▊ | 35/40 [03:26<00:29, 5.92s/it]\n 90%|█████████ | 36/40 [03:32<00:23, 5.92s/it]\n 92%|█████████▎| 37/40 [03:38<00:17, 5.92s/it]\n 95%|█████████▌| 38/40 [03:44<00:11, 5.92s/it]\n 98%|█████████▊| 39/40 [03:50<00:05, 5.92s/it]\n100%|██████████| 40/40 [03:56<00:00, 5.92s/it]\n100%|██████████| 40/40 [03:56<00:00, 5.90s/it]\nVideo generation completed in 240.27 seconds\nExporting video to: /tmp/tmpbh4k1cz0/output.mp4 at 16 fps\nhuggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\nTo disable this warning, you can either:\n- Avoid using `tokenizers` before the fork if possible\n- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\nVideo saved successfully to: /tmp/tmpbh4k1cz0/output.mp4\nCleaned up temporary LoRA file: /root/.cache/huggingface/hub/models--Remade-AI--Squish/snapshots/70e32c7d833743c88352e2ac973968417fb5b051/squish_18.safetensors",
"metrics": {
"predict_time": 243.794411078,
"total_time": 243.80169
},
"output": "https://replicate.delivery/yhqm/X0yqkQLeLfuNUESVZHL53DIzmRTtkNJiXFOWsZCPDyKamtYUA/output.mp4",
"started_at": "2025-03-15T07:05:10.842279Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/yswh-stbbisuimfyka4g75i6zoqbo5sk47km22tmjds2v32vdkwqfiowa",
"get": "https://api.replicate.com/v1/predictions/p0xwwxqvpdrj00cnk2fawv6kbr",
"cancel": "https://api.replicate.com/v1/predictions/p0xwwxqvpdrj00cnk2fawv6kbr/cancel"
},
"version": "f130c663a974802a8e5826a49b82064a27d5ffeec8f008ae3195a70e49527a97"
}Generated in
Starting prediction with: prompt='In the video, a miniature dog is presented. The dog is held in a person's hands. The person then presses on the dog, causing a sq41sh squish effect. The person keeps pressing down on the dog, further showing the sq41sh squish effect.', lora_strength=1.0, duration=3.0s
Calculated 49 frames for 3.0s at 16 fps
Loading input image from: /tmp/tmpl6fn4nyqdog-1024.png
Image loaded successfully: 1001x991
Auto-selected fixed square dimensions: 512x512 for aspect ratio 0.99
Final dimensions: 512x512
Downloading LoRA from: https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors
Downloading from HuggingFace: repo_id=Remade-AI/Squish, filename=squish_18.safetensors
Loading LoRA weights from: /root/.cache/huggingface/hub/models--Remade-AI--Squish/snapshots/70e32c7d833743c88352e2ac973968417fb5b051/squish_18.safetensors with strength: 1.0
LoRA weights loaded successfully
Starting video generation: 49 frames, 40 steps, guidance=5.0
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Video generation completed in 240.27 seconds
Exporting video to: /tmp/tmpbh4k1cz0/output.mp4 at 16 fps
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
- Avoid using `tokenizers` before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Video saved successfully to: /tmp/tmpbh4k1cz0/output.mp4
Cleaned up temporary LoRA file: /root/.cache/huggingface/hub/models--Remade-AI--Squish/snapshots/70e32c7d833743c88352e2ac973968417fb5b051/squish_18.safetensors