tstramer/spider-verse-diffusion:b6f58a19 – Run with an API on Replicate

Version

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tstramer /spider-verse-diffusion:b6f58a19

Input

prompt

string

Shift + Return to add a new line

Walter White from breaking bad, spiderverse styleWalter White from breaking bad, spiderverse style

Input prompt

Default: "a photo of an astronaut riding a horse on mars"

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output

width

integer

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 768

height

integer

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 768

prompt_strength

number

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image

Default: 0.8

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

scheduler

string

Choose a scheduler.

Default: "DPMSolverMultistep"

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=tstramer/spider-verse-diffusion

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";

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

Run tstramer/spider-verse-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tstramer/spider-verse-diffusion:b6f58a19bf995774df360aadd53b6cf7f29f4daa1ca225706c81104a007d706c",
  {
    input: {
      seed: 512312,
      width: 512,
      height: 512,
      prompt: "Walter White from breaking bad, spiderverse style",
      scheduler: "K-LMS",
      num_outputs: 1,
      guidance_scale: 7.5,
      prompt_strength: 0.8,
      num_inference_steps: 50
    }
  }
);
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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run tstramer/spider-verse-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tstramer/spider-verse-diffusion:b6f58a19bf995774df360aadd53b6cf7f29f4daa1ca225706c81104a007d706c",
    input={
        "seed": 512312,
        "width": 512,
        "height": 512,
        "prompt": "Walter White from breaking bad, spiderverse style",
        "scheduler": "K-LMS",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "prompt_strength": 0.8,
        "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 tstramer/spider-verse-diffusion 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": "b6f58a19bf995774df360aadd53b6cf7f29f4daa1ca225706c81104a007d706c",
    "input": {
      "seed": 512312,
      "width": 512,
      "height": 512,
      "prompt": "Walter White from breaking bad, spiderverse style",
      "scheduler": "K-LMS",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "prompt_strength": 0.8,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

To 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 cog

If 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/tstramer/spider-verse-diffusion@sha256:b6f58a19bf995774df360aadd53b6cf7f29f4daa1ca225706c81104a007d706c \
  -i 'seed=512312' \
  -i 'width=512' \
  -i 'height=512' \
  -i 'prompt="Walter White from breaking bad, spiderverse style"' \
  -i 'scheduler="K-LMS"' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=7.5' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=50'

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/tstramer/spider-verse-diffusion@sha256:b6f58a19bf995774df360aadd53b6cf7f29f4daa1ca225706c81104a007d706c
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 512312,
      "width": 512,
      "height": 512,
      "prompt": "Walter White from breaking bad, spiderverse style",
      "scheduler": "K-LMS",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "prompt_strength": 0.8,
      "num_inference_steps": 50
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2022-11-07T23:00:21.147600Z",
  "created_at": "2022-11-07T23:00:17.096566Z",
  "data_removed": false,
  "error": null,
  "id": "53ifcjhayjdlpae36e3mrt2yoa",
  "input": {
    "seed": 512312,
    "width": 512,
    "height": 512,
    "prompt": "Walter White from breaking bad, spiderverse style",
    "scheduler": "K-LMS",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "prompt_strength": 0.8,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 512312\n\n  0%|          | 0/50 [00:00<?, ?it/s]\n  4%|▍         | 2/50 [00:00<00:03, 12.17it/s]\n  8%|▊         | 4/50 [00:00<00:03, 13.17it/s]\n 12%|█▏        | 6/50 [00:00<00:03, 13.58it/s]\n 16%|█▌        | 8/50 [00:00<00:03, 13.72it/s]\n 20%|██        | 10/50 [00:00<00:02, 13.77it/s]\n 24%|██▍       | 12/50 [00:00<00:02, 13.83it/s]\n 28%|██▊       | 14/50 [00:01<00:02, 13.93it/s]\n 32%|███▏      | 16/50 [00:01<00:02, 13.99it/s]\n 36%|███▌      | 18/50 [00:01<00:02, 13.99it/s]\n 40%|████      | 20/50 [00:01<00:02, 13.99it/s]\n 44%|████▍     | 22/50 [00:01<00:02, 13.98it/s]\n 48%|████▊     | 24/50 [00:01<00:01, 13.91it/s]\n 52%|█████▏    | 26/50 [00:01<00:01, 13.90it/s]\n 56%|█████▌    | 28/50 [00:02<00:01, 13.81it/s]\n 60%|██████    | 30/50 [00:02<00:01, 13.83it/s]\n 64%|██████▍   | 32/50 [00:02<00:01, 13.82it/s]\n 68%|██████▊   | 34/50 [00:02<00:01, 13.85it/s]\n 72%|███████▏  | 36/50 [00:02<00:01, 13.89it/s]\n 76%|███████▌  | 38/50 [00:02<00:00, 13.96it/s]\n 80%|████████  | 40/50 [00:02<00:00, 13.99it/s]\n 84%|████████▍ | 42/50 [00:03<00:00, 13.98it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 13.99it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 14.02it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 14.03it/s]\n100%|██████████| 50/50 [00:03<00:00, 14.03it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.88it/s]",
  "metrics": {
    "predict_time": 4.014421,
    "total_time": 4.051034
  },
  "output": [
    "https://replicate.delivery/pbxt/gwHvsqVebO1YEa3ExElUj2pAIvTQiy6V17MDSUv1eetKAo7fA/out-0.png"
  ],
  "started_at": "2022-11-07T23:00:17.133179Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/53ifcjhayjdlpae36e3mrt2yoa",
    "cancel": "https://api.replicate.com/v1/predictions/53ifcjhayjdlpae36e3mrt2yoa/cancel"
  },
  "version": "c695c63e1110c879b4b9e40a90f13e7dc5313ffa21d1ceb9d347be19876b1bb9"
}

Generated in

4.0 seconds

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This example was created by a different version, tstramer/spider-verse-diffusion:c695c63e.