cjwbw/stable-diffusion-v2:c30213da – Run with an API on Replicate

Version

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cjwbw /stable-diffusion-v2:c30213da

Input

prompt

string

Shift + Return to add a new line

beautiful open kitchen in the style of elena of avalor overlooking aerial wide angle view of a solarpunk vibrant city with greenery, interior architecture, kitchen, eating space, rendered in octane, in the style of Luc Schuiten, craig mullins, solarpunk in deviantart, photorealistic, highly detailed, Vincent Callebaut, elena of avalor, highly detailedbeautiful open kitchen in the style of elena of avalor overlooking aerial wide angle view of a solarpunk vibrant city with greenery, interior architecture, kitchen, eating space, rendered in octane, in the style of Luc Schuiten, craig mullins, solarpunk in deviantart, photorealistic, highly detailed, Vincent Callebaut, elena of avalor, highly detailed

Input prompt

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

negative_prompt

string

Shift + Return to add a new line

The prompt NOT to guide the image generation. Ignored when not using guidance

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: 8)

Number of images to output. It may OOM when setting higher number of outputs

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. Seems only DDIM and K_EULER work for sd-v2 now.

Default: "K_EULER"

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=cjwbw/stable-diffusion-v2

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 cjwbw/stable-diffusion-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/stable-diffusion-v2:c30213da7590809923baf815fc42147f8aa15cf8d4396fb8d7e947cf9fdfad5f",
  {
    input: {
      width: 768,
      height: 768,
      prompt: "beautiful open kitchen in the style of elena of avalor overlooking aerial wide angle view of a solarpunk vibrant city with greenery, interior architecture, kitchen, eating space, rendered in octane, in the style of Luc Schuiten, craig mullins, solarpunk in deviantart, photorealistic, highly detailed, Vincent Callebaut, elena of avalor, highly detailed",
      scheduler: "K_EULER",
      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 cjwbw/stable-diffusion-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/stable-diffusion-v2:c30213da7590809923baf815fc42147f8aa15cf8d4396fb8d7e947cf9fdfad5f",
    input={
        "width": 768,
        "height": 768,
        "prompt": "beautiful open kitchen in the style of elena of avalor overlooking aerial wide angle view of a solarpunk vibrant city with greenery, interior architecture, kitchen, eating space, rendered in octane, in the style of Luc Schuiten, craig mullins, solarpunk in deviantart, photorealistic, highly detailed, Vincent Callebaut, elena of avalor, highly detailed",
        "scheduler": "K_EULER",
        "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 cjwbw/stable-diffusion-v2 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": "c30213da7590809923baf815fc42147f8aa15cf8d4396fb8d7e947cf9fdfad5f",
    "input": {
      "width": 768,
      "height": 768,
      "prompt": "beautiful open kitchen in the style of elena of avalor overlooking aerial wide angle view of a solarpunk vibrant city with greenery, interior architecture, kitchen, eating space, rendered in octane, in the style of Luc Schuiten, craig mullins, solarpunk in deviantart, photorealistic, highly detailed, Vincent Callebaut, elena of avalor, highly detailed",
      "scheduler": "K_EULER",
      "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.

Output

{
  "completed_at": "2022-11-24T20:38:45.833746Z",
  "created_at": "2022-11-24T20:38:38.516381Z",
  "data_removed": false,
  "error": null,
  "id": "4kph3tu7gfgqxo4i7vomhw6r3i",
  "input": {
    "width": 768,
    "height": 768,
    "prompt": "beautiful open kitchen in the style of elena of avalor overlooking aerial wide angle view of a solarpunk vibrant city with greenery, interior architecture, kitchen, eating space, rendered in octane, in the style of Luc Schuiten, craig mullins, solarpunk in deviantart, photorealistic, highly detailed, Vincent Callebaut, elena of avalor, highly detailed",
    "scheduler": "K_EULER",
    "num_outputs": "1",
    "guidance_scale": 7.5,
    "prompt_strength": 0.8,
    "num_inference_steps": "50"
  },
  "logs": "Using seed: 27891\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:07,  6.60it/s]\n  4%|▍         | 2/50 [00:00<00:06,  7.05it/s]\n  6%|▌         | 3/50 [00:00<00:06,  7.57it/s]\n  8%|▊         | 4/50 [00:00<00:05,  7.84it/s]\n 10%|█         | 5/50 [00:00<00:05,  8.00it/s]\n 12%|█▏        | 6/50 [00:00<00:05,  8.10it/s]\n 14%|█▍        | 7/50 [00:00<00:05,  8.17it/s]\n 16%|█▌        | 8/50 [00:01<00:05,  8.21it/s]\n 18%|█▊        | 9/50 [00:01<00:04,  8.24it/s]\n 20%|██        | 10/50 [00:01<00:04,  8.26it/s]\n 22%|██▏       | 11/50 [00:01<00:04,  8.27it/s]\n 24%|██▍       | 12/50 [00:01<00:04,  8.28it/s]\n 26%|██▌       | 13/50 [00:01<00:04,  8.29it/s]\n 28%|██▊       | 14/50 [00:01<00:04,  8.29it/s]\n 30%|███       | 15/50 [00:01<00:04,  8.29it/s]\n 32%|███▏      | 16/50 [00:01<00:04,  8.29it/s]\n 34%|███▍      | 17/50 [00:02<00:03,  8.29it/s]\n 36%|███▌      | 18/50 [00:02<00:03,  8.29it/s]\n 38%|███▊      | 19/50 [00:02<00:03,  8.29it/s]\n 40%|████      | 20/50 [00:02<00:03,  8.29it/s]\n 42%|████▏     | 21/50 [00:02<00:03,  8.29it/s]\n 44%|████▍     | 22/50 [00:02<00:03,  8.29it/s]\n 46%|████▌     | 23/50 [00:02<00:03,  8.29it/s]\n 48%|████▊     | 24/50 [00:02<00:03,  8.30it/s]\n 50%|█████     | 25/50 [00:03<00:03,  8.29it/s]\n 52%|█████▏    | 26/50 [00:03<00:02,  8.29it/s]\n 54%|█████▍    | 27/50 [00:03<00:02,  8.29it/s]\n 56%|█████▌    | 28/50 [00:03<00:02,  8.29it/s]\n 58%|█████▊    | 29/50 [00:03<00:02,  8.29it/s]\n 60%|██████    | 30/50 [00:03<00:02,  8.29it/s]\n 62%|██████▏   | 31/50 [00:03<00:02,  8.29it/s]\n 64%|██████▍   | 32/50 [00:03<00:02,  8.29it/s]\n 66%|██████▌   | 33/50 [00:04<00:02,  8.28it/s]\n 68%|██████▊   | 34/50 [00:04<00:01,  8.28it/s]\n 70%|███████   | 35/50 [00:04<00:01,  8.29it/s]\n 72%|███████▏  | 36/50 [00:04<00:01,  8.30it/s]\n 74%|███████▍  | 37/50 [00:04<00:01,  8.30it/s]\n 76%|███████▌  | 38/50 [00:04<00:01,  8.31it/s]\n 78%|███████▊  | 39/50 [00:04<00:01,  8.31it/s]\n 80%|████████  | 40/50 [00:04<00:01,  8.31it/s]\n 82%|████████▏ | 41/50 [00:04<00:01,  8.30it/s]\n 84%|████████▍ | 42/50 [00:05<00:00,  8.29it/s]\n 86%|████████▌ | 43/50 [00:05<00:00,  8.30it/s]\n 88%|████████▊ | 44/50 [00:05<00:00,  8.30it/s]\n 90%|█████████ | 45/50 [00:05<00:00,  8.30it/s]\n 92%|█████████▏| 46/50 [00:05<00:00,  8.30it/s]\n 94%|█████████▍| 47/50 [00:05<00:00,  8.30it/s]\n 96%|█████████▌| 48/50 [00:05<00:00,  8.30it/s]\n 98%|█████████▊| 49/50 [00:05<00:00,  8.31it/s]\n100%|██████████| 50/50 [00:06<00:00,  8.30it/s]\n100%|██████████| 50/50 [00:06<00:00,  8.23it/s]",
  "metrics": {
    "predict_time": 7.273606,
    "total_time": 7.317365
  },
  "output": [
    "https://replicate.delivery/pbxt/bTqR1X42Ux50PRpd0HVbML8zLqz5oAV6H8JbvFYcmvYVI2AE/out-0.png"
  ],
  "started_at": "2022-11-24T20:38:38.560140Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/4kph3tu7gfgqxo4i7vomhw6r3i",
    "cancel": "https://api.replicate.com/v1/predictions/4kph3tu7gfgqxo4i7vomhw6r3i/cancel"
  },
  "version": "c30213da7590809923baf815fc42147f8aa15cf8d4396fb8d7e947cf9fdfad5f"
}

Generated in

7.3 seconds

Tweak itReport

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