Versions
d456a26c
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You're looking at a specific version of this model. Jump to the model overview.
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=cjwbw/tokenflow
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";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run cjwbw/tokenflow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"cjwbw/tokenflow:d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728",
{
input: {
fps: 20,
video: "https://replicate.delivery/pbxt/KHC9ogpXAwlDf1vM7u8melD8QuU3tTsUsoLFMUwEccx3ZMRT/woman-running.mp4",
width: 512,
height: 512,
n_frames: 40,
guidance_scale: 7.5,
diffusion_prompt: "a marble sculpture of a woman running, Venus de Milo",
inversion_prompt: "",
num_diffusion_steps: 50,
num_inversion_steps: 50,
negative_diffusion_prompt: "ugly, blurry, low res, unrealistic, unaesthetic"
}
}
);
console.log(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 cjwbw/tokenflow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"cjwbw/tokenflow:d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728",
input={
"fps": 20,
"video": "https://replicate.delivery/pbxt/KHC9ogpXAwlDf1vM7u8melD8QuU3tTsUsoLFMUwEccx3ZMRT/woman-running.mp4",
"width": 512,
"height": 512,
"n_frames": 40,
"guidance_scale": 7.5,
"diffusion_prompt": "a marble sculpture of a woman running, Venus de Milo",
"inversion_prompt": "",
"num_diffusion_steps": 50,
"num_inversion_steps": 50,
"negative_diffusion_prompt": "ugly, blurry, low res, unrealistic, unaesthetic"
}
)
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 cjwbw/tokenflow 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": "d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728",
"input": {
"fps": 20,
"video": "https://replicate.delivery/pbxt/KHC9ogpXAwlDf1vM7u8melD8QuU3tTsUsoLFMUwEccx3ZMRT/woman-running.mp4",
"width": 512,
"height": 512,
"n_frames": 40,
"guidance_scale": 7.5,
"diffusion_prompt": "a marble sculpture of a woman running, Venus de Milo",
"inversion_prompt": "",
"num_diffusion_steps": 50,
"num_inversion_steps": 50,
"negative_diffusion_prompt": "ugly, blurry, low res, unrealistic, unaesthetic"
}
}' \
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/chenxwh/tokenflow@sha256:d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728 \
-i 'fps=20' \
-i 'video="https://replicate.delivery/pbxt/KHC9ogpXAwlDf1vM7u8melD8QuU3tTsUsoLFMUwEccx3ZMRT/woman-running.mp4"' \
-i 'width=512' \
-i 'height=512' \
-i 'n_frames=40' \
-i 'guidance_scale=7.5' \
-i 'diffusion_prompt="a marble sculpture of a woman running, Venus de Milo"' \
-i 'inversion_prompt=""' \
-i 'num_diffusion_steps=50' \
-i 'num_inversion_steps=50' \
-i 'negative_diffusion_prompt="ugly, blurry, low res, unrealistic, unaesthetic"'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/chenxwh/tokenflow@sha256:d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "fps": 20, "video": "https://replicate.delivery/pbxt/KHC9ogpXAwlDf1vM7u8melD8QuU3tTsUsoLFMUwEccx3ZMRT/woman-running.mp4", "width": 512, "height": 512, "n_frames": 40, "guidance_scale": 7.5, "diffusion_prompt": "a marble sculpture of a woman running, Venus de Milo", "inversion_prompt": "", "num_diffusion_steps": 50, "num_inversion_steps": 50, "negative_diffusion_prompt": "ugly, blurry, low res, unrealistic, unaesthetic" } }' \ 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 $0.27. Alternatively, try out our featured models for free.
Sign in with GitHub
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2024-01-23T12:56:55.939586Z",
"created_at": "2024-01-23T12:53:14.115204Z",
"data_removed": false,
"error": null,
"id": "msm4lilblwh3f7s5haf3gf7d24",
"input": {
"fps": 20,
"video": "https://replicate.delivery/pbxt/KHC9ogpXAwlDf1vM7u8melD8QuU3tTsUsoLFMUwEccx3ZMRT/woman-running.mp4",
"width": 512,
"height": 512,
"n_frames": 40,
"guidance_scale": 7.5,
"diffusion_prompt": "a marble sculpture of a woman running, Venus de Milo",
"inversion_prompt": "",
"num_diffusion_steps": 50,
"num_inversion_steps": 50,
"negative_diffusion_prompt": "ugly, blurry, low res, unrealistic, unaesthetic"
},
"logs": "Using seed: 4067\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:25, 1.95it/s]\n 4%|▍ | 2/50 [00:01<00:24, 1.96it/s]\n 6%|▌ | 3/50 [00:01<00:23, 1.96it/s]\n 8%|▊ | 4/50 [00:02<00:23, 1.96it/s]\n 10%|█ | 5/50 [00:02<00:22, 1.96it/s]\n 12%|█▏ | 6/50 [00:03<00:22, 1.96it/s]\n 14%|█▍ | 7/50 [00:03<00:21, 1.96it/s]\n 16%|█▌ | 8/50 [00:04<00:21, 1.96it/s]\n 18%|█▊ | 9/50 [00:04<00:20, 1.96it/s]\n 20%|██ | 10/50 [00:05<00:20, 1.96it/s]\n 22%|██▏ | 11/50 [00:05<00:19, 1.96it/s]\n 24%|██▍ | 12/50 [00:06<00:19, 1.96it/s]\n 26%|██▌ | 13/50 [00:06<00:18, 1.96it/s]\n 28%|██▊ | 14/50 [00:07<00:18, 1.96it/s]\n 30%|███ | 15/50 [00:07<00:17, 1.96it/s]\n 32%|███▏ | 16/50 [00:08<00:17, 1.96it/s]\n 34%|███▍ | 17/50 [00:08<00:16, 1.96it/s]\n 36%|███▌ | 18/50 [00:09<00:16, 1.96it/s]\n 38%|███▊ | 19/50 [00:09<00:15, 1.96it/s]\n 40%|████ | 20/50 [00:10<00:15, 1.96it/s]\n 42%|████▏ | 21/50 [00:10<00:14, 1.96it/s]\n 44%|████▍ | 22/50 [00:11<00:14, 1.96it/s]\n 46%|████▌ | 23/50 [00:11<00:13, 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[02:11<00:17, 2.98s/it]\nSampling: 90%|█████████ | 45/50 [02:13<00:14, 2.98s/it]\nSampling: 92%|█████████▏| 46/50 [02:16<00:11, 2.98s/it]\nSampling: 94%|█████████▍| 47/50 [02:19<00:08, 2.98s/it]\nSampling: 96%|█████████▌| 48/50 [02:22<00:05, 2.98s/it]\nSampling: 98%|█████████▊| 49/50 [02:25<00:02, 2.98s/it]\nSampling: 100%|██████████| 50/50 [02:28<00:00, 2.98s/it]\nSampling: 100%|██████████| 50/50 [02:28<00:00, 2.98s/it]\nDone!",
"metrics": {
"predict_time": 221.492871,
"total_time": 221.824382
},
"output": "https://replicate.delivery/pbxt/FEjd8kM09b6uPFcJvWK2zDPUulBtWTkeND8tzjYiJTkLTrHJA/out.mp4",
"started_at": "2024-01-23T12:53:14.446715Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/msm4lilblwh3f7s5haf3gf7d24",
"cancel": "https://api.replicate.com/v1/predictions/msm4lilblwh3f7s5haf3gf7d24/cancel"
},
"version": "d456a26c0c1764ac4d9b933a564fe70e660c46423ba0afb5d3200f1a46060728"
}Generated in
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Inversion completed!
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Done!