Prediction

Model

chenxwh/diffsynth-exvideo:b3b0e929

x8sp6kaa4hrgg0cgdeytz8mwv4

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

11m 10s

Created

over 1 year ago

Webhook

–

Input

prompt: a beautiful coastal beach in spring, waves lapping on sand
negative_prompt: 错误的眼睛，糟糕的人脸，毁容，糟糕的艺术，变形，多余的肢体，模糊的颜色，模糊，重复，病态，残缺，
num_frames: 128
num_inference_steps: 25
num_inference_steps_upscale_video: 25

{
  "negative_prompt": "错误的眼睛，糟糕的人脸，毁容，糟糕的艺术，变形，多余的肢体，模糊的颜色，模糊，重复，病态，残缺，",
  "num_frames": 128,
  "num_inference_steps": 25,
  "num_inference_steps_upscale_video": 25,
  "prompt": "a beautiful coastal beach in spring, waves lapping on sand"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_YYC**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run chenxwh/diffsynth-exvideo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/diffsynth-exvideo:b3b0e929bf918153fbc0c5444fbe215f5cdbdbdf610910cf4dfcb6f6006e4783",
  {
    input: {
      negative_prompt: "错误的眼睛，糟糕的人脸，毁容，糟糕的艺术，变形，多余的肢体，模糊的颜色，模糊，重复，病态，残缺，",
      num_frames: 128,
      num_inference_steps: 25,
      num_inference_steps_upscale_video: 25,
      prompt: "a beautiful coastal beach in spring, waves lapping on sand"
    }
  }
);

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 replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_YYC**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run chenxwh/diffsynth-exvideo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/diffsynth-exvideo:b3b0e929bf918153fbc0c5444fbe215f5cdbdbdf610910cf4dfcb6f6006e4783",
    input={
        "negative_prompt": "错误的眼睛，糟糕的人脸，毁容，糟糕的艺术，变形，多余的肢体，模糊的颜色，模糊，重复，病态，残缺，",
        "num_frames": 128,
        "num_inference_steps": 25,
        "num_inference_steps_upscale_video": 25,
        "prompt": "a beautiful coastal beach in spring, waves lapping on sand"
    }
)

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=r8_YYC**********************************

This is your API token. Keep it to yourself.

Run chenxwh/diffsynth-exvideo 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": "chenxwh/diffsynth-exvideo:b3b0e929bf918153fbc0c5444fbe215f5cdbdbdf610910cf4dfcb6f6006e4783",
    "input": {
      "negative_prompt": "错误的眼睛，糟糕的人脸，毁容，糟糕的艺术，变形，多余的肢体，模糊的颜色，模糊，重复，病态，残缺，",
      "num_frames": 128,
      "num_inference_steps": 25,
      "num_inference_steps_upscale_video": 25,
      "prompt": "a beautiful coastal beach in spring, waves lapping on sand"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Object output with 3 properties

image(image.png)

Download output

video(video_512.mp4)

Download output

upscale_video(video_1024.mp4)

Download output

{
  "id": "x8sp6kaa4hrgg0cgdeytz8mwv4",
  "model": "chenxwh/diffsynth-exvideo",
  "version": "b3b0e929bf918153fbc0c5444fbe215f5cdbdbdf610910cf4dfcb6f6006e4783",
  "input": {
    "negative_prompt": "错误的眼睛，糟糕的人脸，毁容，糟糕的艺术，变形，多余的肢体，模糊的颜色，模糊，重复，病态，残缺，",
    "num_frames": 128,
    "num_inference_steps": 25,
    "num_inference_steps_upscale_video": 25,
    "prompt": "a beautiful coastal beach in spring, waves lapping on sand"
  },
  "logs": "Using seed: 43627\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:07,  3.35it/s]\n  8%|▊         | 2/25 [00:00<00:07,  3.07it/s]\n 12%|█▏        | 3/25 [00:00<00:07,  2.99it/s]\n 16%|█▌        | 4/25 [00:01<00:07,  2.95it/s]\n 20%|██        | 5/25 [00:01<00:06,  2.93it/s]\n 24%|██▍       | 6/25 [00:02<00:06,  2.92it/s]\n 28%|██▊       | 7/25 [00:02<00:06,  2.91it/s]\n 32%|███▏      | 8/25 [00:02<00:05,  2.90it/s]\n 36%|███▌      | 9/25 [00:03<00:05,  2.90it/s]\n 40%|████      | 10/25 [00:03<00:05,  2.90it/s]\n 44%|████▍     | 11/25 [00:03<00:04,  2.90it/s]\n 48%|████▊     | 12/25 [00:04<00:04,  2.90it/s]\n 52%|█████▏    | 13/25 [00:04<00:04,  2.90it/s]\n 56%|█████▌    | 14/25 [00:04<00:03,  2.90it/s]\n 60%|██████    | 15/25 [00:05<00:03,  2.90it/s]\n 64%|██████▍   | 16/25 [00:05<00:03,  2.89it/s]\n 68%|██████▊   | 17/25 [00:05<00:02,  2.89it/s]\n 72%|███████▏  | 18/25 [00:06<00:02,  2.89it/s]\n 76%|███████▌  | 19/25 [00:06<00:02,  2.89it/s]\n 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[00:47<00:03,  1.62s/it]\n 97%|█████████▋| 30/31 [00:49<00:01,  1.62s/it]\n100%|██████████| 31/31 [00:50<00:00,  1.62s/it]\n100%|██████████| 31/31 [00:50<00:00,  1.64s/it]\nSaving video:   0%|          | 0/128 [00:00<?, ?it/s]\nSaving video:   1%|          | 1/128 [00:00<00:24,  5.10it/s]\nSaving video:  37%|███▋      | 47/128 [00:00<00:00, 193.02it/s]\nSaving video:  58%|█████▊    | 74/128 [00:00<00:00, 208.32it/s]\nSaving video:  77%|███████▋  | 99/128 [00:00<00:00, 199.23it/s]\nSaving video:  95%|█████████▌| 122/128 [00:00<00:00, 195.02it/s]\nSaving video: 100%|██████████| 128/128 [00:00<00:00, 180.57it/s]\nSaving video:   0%|          | 0/128 [00:00<?, ?it/s]\nSaving video:   1%|          | 1/128 [00:00<00:20,  6.33it/s]\nSaving video:  12%|█▏        | 15/128 [00:00<00:01, 68.32it/s]\nSaving video:  26%|██▌       | 33/128 [00:00<00:00, 111.05it/s]\nSaving video:  37%|███▋      | 47/128 [00:00<00:00, 97.93it/s] \nSaving video:  45%|████▌     | 58/128 [00:00<00:00, 101.25it/s]\nSaving video:  54%|█████▍    | 69/128 [00:00<00:00, 69.44it/s] \nSaving video:  61%|██████    | 78/128 [00:01<00:00, 58.36it/s]\nSaving video:  67%|██████▋   | 86/128 [00:01<00:00, 58.53it/s]\nSaving video:  73%|███████▎  | 93/128 [00:01<00:00, 56.30it/s]\nSaving video:  78%|███████▊  | 100/128 [00:01<00:00, 52.01it/s]\nSaving video:  83%|████████▎ | 106/128 [00:01<00:00, 49.11it/s]\nSaving video:  88%|████████▊ | 112/128 [00:01<00:00, 50.86it/s]\nSaving video:  93%|█████████▎| 119/128 [00:01<00:00, 49.06it/s]\nSaving video:  98%|█████████▊| 125/128 [00:02<00:00, 47.79it/s]\nSaving video: 100%|██████████| 128/128 [00:02<00:00, 57.61it/s]",
  "output": {
    "image": "https://replicate.delivery/pbxt/TFlGM0ef42tAm0HGkX70fdp2SvsL5BT2fUri7f8q6V7P6XfwE/image.png",
    "upscale_video": "https://replicate.delivery/pbxt/KIFIMjQieoymEyqGf3jUYqvK8KoSDIygfO0IcCZwWCsnerPMB/video_1024.mp4",
    "video": "https://replicate.delivery/pbxt/JAPcWeqJ6a2PUCurg1S83MlBsiP6DsCGFfeVElefir8T6XfwE/video_512.mp4"
  },
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-07-01T00:41:25.796Z",
  "started_at": "2024-07-01T00:41:25.830213Z",
  "completed_at": "2024-07-01T00:52:36.056197Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/x8sp6kaa4hrgg0cgdeytz8mwv4/cancel",
    "get": "https://api.replicate.com/v1/predictions/x8sp6kaa4hrgg0cgdeytz8mwv4",
    "web": "https://replicate.com/p/x8sp6kaa4hrgg0cgdeytz8mwv4"
  },
  "metrics": {
    "predict_time": 670.225983993,
    "total_time": 670.260197
  }
}

Generated in

11 minutes 10 seconds

Tweak it Report

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