wcarle/stable-diffusion-videos-ghibli:c0a42f58 | Run with an API on Replicate

Version

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wcarle /stable-diffusion-videos-ghibli:c0a42f58

Input

prompts

string

Shift + Return to add a new line

ghibli style open field with clouds (sunset) | ghibli style open field with clouds (night)ghibli style open field with clouds (sunset) | ghibli style open field with clouds (night)

Input prompts, separate each prompt with '|'.

Default: "a cat | a dog | a horse"

seeds

string

Shift + Return to add a new line

Random seed, separated with '|' to use different seeds for each of the prompt provided above. Leave blank to randomize the seed.

scheduler

string

Choose the scheduler

Default: "klms"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps for each image generated from the prompt

Default: 50

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

num_steps

integer

Steps for generating the interpolation video. Recommended to set to 3 or 5 for testing, then up it to 60-200 for better results.

Default: 50

fps

integer

(minimum: 5, maximum: 60)

Frame rate for the video.

Default: 15

Run this model in Node.js with one line of code:

npx create-replicate --model=wcarle/stable-diffusion-videos-ghibli

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set 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 wcarle/stable-diffusion-videos-ghibli using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "wcarle/stable-diffusion-videos-ghibli:c0a42f58b44674d3188b9932bf2a62acab5ee4a9f2359faa8ce2bed44a67cd16",
  {
    input: {
      fps: 15,
      seeds: "155 | 688",
      prompts: "ghibli style open field with clouds (sunset) | ghibli style open field with clouds (night)",
      num_steps: 50,
      scheduler: "klms",
      guidance_scale: 7.5,
      num_inference_steps: 50
    }
  }
);

// 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 replicate

Set 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 replicate

Run wcarle/stable-diffusion-videos-ghibli using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "wcarle/stable-diffusion-videos-ghibli:c0a42f58b44674d3188b9932bf2a62acab5ee4a9f2359faa8ce2bed44a67cd16",
    input={
        "fps": 15,
        "seeds": "155 | 688",
        "prompts": "ghibli style open field with clouds (sunset) | ghibli style open field with clouds (night)",
        "num_steps": 50,
        "scheduler": "klms",
        "guidance_scale": 7.5,
        "num_inference_steps": 50
    }
)
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 wcarle/stable-diffusion-videos-ghibli 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": "wcarle/stable-diffusion-videos-ghibli:c0a42f58b44674d3188b9932bf2a62acab5ee4a9f2359faa8ce2bed44a67cd16",
    "input": {
      "fps": 15,
      "seeds": "155 | 688",
      "prompts": "ghibli style open field with clouds (sunset) | ghibli style open field with clouds (night)",
      "num_steps": 50,
      "scheduler": "klms",
      "guidance_scale": 7.5,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-04-03T01:20:36.934315Z",
  "created_at": "2023-04-03T01:12:36.286981Z",
  "data_removed": false,
  "error": null,
  "id": "pg7gqgamffb3hmsnyvtywf5xyy",
  "input": {
    "fps": 15,
    "seeds": "155 | 688",
    "prompts": "ghibli style open field with clouds (sunset) | ghibli style open field with clouds (night)",
    "num_steps": 50,
    "scheduler": "klms",
    "guidance_scale": 7.5,
    "num_inference_steps": 50
  },
  "logs": "Setting Random seeds.\nSeeds used for prompts are:\nghibli style open field with clouds (sunset): 155\nghibli style open field with clouds (night): 688\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:01<01:23,  1.70s/it]\n  6%|▌         | 3/50 [00:01<00:23,  2.01it/s]\n 10%|█         | 5/50 [00:02<00:12,  3.57it/s]\n 14%|█▍        | 7/50 [00:02<00:08,  5.13it/s]\n 18%|█▊        | 9/50 [00:02<00:06,  6.47it/s]\n 22%|██▏       | 11/50 [00:02<00:05,  7.72it/s]\n 26%|██▌       | 13/50 [00:02<00:04,  8.63it/s]\n 30%|███       | 15/50 [00:02<00:03,  9.74it/s]\n 34%|███▍      | 17/50 [00:02<00:03, 10.56it/s]\n 38%|███▊      | 19/50 [00:03<00:02, 11.22it/s]\n 42%|████▏     | 21/50 [00:03<00:02, 11.71it/s]\n 46%|████▌     | 23/50 [00:03<00:02, 12.01it/s]\n 50%|█████     | 25/50 [00:03<00:02, 12.26it/s]\n 54%|█████▍    | 27/50 [00:03<00:01, 12.31it/s]\n 58%|█████▊    | 29/50 [00:03<00:01, 12.62it/s]\n 62%|██████▏   | 31/50 [00:04<00:01, 12.83it/s]\n 66%|██████▌   | 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12.73it/s]",
  "metrics": {
    "predict_time": 221.415975,
    "total_time": 480.647334
  },
  "output": "https://replicate.delivery/pbxt/oQfNlQeCEfFfVQMKPenYgtT9Ro4ihGFJPw3zrzSbgDVm8tvFC/out.mp4",
  "started_at": "2023-04-03T01:16:55.518340Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/pg7gqgamffb3hmsnyvtywf5xyy",
    "cancel": "https://api.replicate.com/v1/predictions/pg7gqgamffb3hmsnyvtywf5xyy/cancel"
  },
  "version": "c0a42f58b44674d3188b9932bf2a62acab5ee4a9f2359faa8ce2bed44a67cd16"
}

Generated in

3 minutes 41 seconds

Tweak itReport View full prediction

Setting Random seeds.
Seeds used for prompts are:
ghibli style open field with clouds (sunset): 155
ghibli style open field with clouds (night): 688
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