pratos/stable-diffusion-2-1-512 | Run with an API on Replicate

pratos / stable-diffusion-2-1-512

Cold

Public
9.4K runs
A100 (80GB)

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

Prompt for the model

Default: "A gentleman otter"

negative_prompt

string

Shift + Return to add a new line

((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))

Negative prompt for the model. Add things that you'd want to avoid in the image.

Default: "((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))"

img_height

integer

Height of the output image

Default: 512

img_width

integer

Height of the output image

Default: 512

scheduler

string

Sampler to use

Default: "euler"

cfg_scale

number

(minimum: 1, maximum: 30)

Scale of the configuration

Default: 7.5

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of inference steps

Default: 50

num_output_images

integer

(minimum: 1, maximum: 5)

Number of output images

Default: 1

seed

integer

Seed for the model

Default: -1

vae_slicing

integer

Use VAE slicing to allow large batches of images to be generated

Default: 0

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

npx create-replicate --model=pratos/stable-diffusion-2-1-512

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 pratos/stable-diffusion-2-1-512 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pratos/stable-diffusion-2-1-512:4ec7e01500986d7755dc7fae5109b6c642da9edef0eca9d7cbfbfff1713f9089",
  {
    input: {
      seed: -1,
      prompt: "A gentleman otter",
      cfg_scale: 7.5,
      img_width: 768,
      scheduler: "euler",
      img_height: 768,
      vae_slicing: 0,
      negative_prompt: "((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))",
      num_output_images: 1,
      num_inference_steps: 50
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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 pratos/stable-diffusion-2-1-512 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pratos/stable-diffusion-2-1-512:4ec7e01500986d7755dc7fae5109b6c642da9edef0eca9d7cbfbfff1713f9089",
    input={
        "seed": -1,
        "prompt": "A gentleman otter",
        "cfg_scale": 7.5,
        "img_width": 768,
        "scheduler": "euler",
        "img_height": 768,
        "vae_slicing": 0,
        "negative_prompt": "((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))",
        "num_output_images": 1,
        "num_inference_steps": 50
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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 pratos/stable-diffusion-2-1-512 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": "pratos/stable-diffusion-2-1-512:4ec7e01500986d7755dc7fae5109b6c642da9edef0eca9d7cbfbfff1713f9089",
    "input": {
      "seed": -1,
      "prompt": "A gentleman otter",
      "cfg_scale": 7.5,
      "img_width": 768,
      "scheduler": "euler",
      "img_height": 768,
      "vae_slicing": 0,
      "negative_prompt": "((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))",
      "num_output_images": 1,
      "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": "2022-12-22T22:56:09.880450Z",
  "created_at": "2022-12-22T22:55:59.202829Z",
  "data_removed": false,
  "error": null,
  "id": "d6boiywj3rgtxfgjpdofk62eja",
  "input": {
    "seed": -1,
    "prompt": "A gentleman otter",
    "cfg_scale": 7.5,
    "img_width": "768",
    "scheduler": "euler",
    "img_height": "768",
    "negative_prompt": "((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))",
    "num_output_images": 1,
    "num_inference_steps": 50
  },
  "logs": "Using seed 82372 with A gentleman otter\nGenerating images...\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:01<01:29,  1.82s/it]\n  4%|▍         | 2/50 [00:01<00:39,  1.23it/s]\n  6%|▌         | 3/50 [00:02<00:23,  2.03it/s]\n  8%|▊         | 4/50 [00:02<00:15,  2.94it/s]\n 10%|█         | 5/50 [00:02<00:11,  3.89it/s]\n 12%|█▏        | 6/50 [00:02<00:09,  4.84it/s]\n 14%|█▍        | 7/50 [00:02<00:07,  5.73it/s]\n 16%|█▌        | 8/50 [00:02<00:06,  6.51it/s]\n 18%|█▊        | 9/50 [00:02<00:05,  7.16it/s]\n 20%|██        | 10/50 [00:02<00:05,  7.68it/s]\n 22%|██▏       | 11/50 [00:02<00:04,  8.09it/s]\n 24%|██▍       | 12/50 [00:03<00:04,  8.39it/s]\n 26%|██▌       | 13/50 [00:03<00:04,  8.62it/s]\n 28%|██▊       | 14/50 [00:03<00:04,  8.79it/s]\n 30%|███       | 15/50 [00:03<00:03,  8.91it/s]\n 32%|███▏      | 16/50 [00:03<00:03,  8.99it/s]\n 34%|███▍      | 17/50 [00:03<00:03,  9.05it/s]\n 36%|███▌      | 18/50 [00:03<00:03,  9.09it/s]\n 38%|███▊      | 19/50 [00:03<00:03,  9.11it/s]\n 40%|████      | 20/50 [00:03<00:03,  9.12it/s]\n 42%|████▏     | 21/50 [00:03<00:03,  9.14it/s]\n 44%|████▍     | 22/50 [00:04<00:03,  9.16it/s]\n 46%|████▌     | 23/50 [00:04<00:02,  9.16it/s]\n 48%|████▊     | 24/50 [00:04<00:02,  9.18it/s]\n 50%|█████     | 25/50 [00:04<00:02,  9.18it/s]\n 52%|█████▏    | 26/50 [00:04<00:02,  9.18it/s]\n 54%|█████▍    | 27/50 [00:04<00:02,  9.18it/s]\n 56%|█████▌    | 28/50 [00:04<00:02,  9.17it/s]\n 58%|█████▊    | 29/50 [00:04<00:02,  9.16it/s]\n 60%|██████    | 30/50 [00:04<00:02,  9.17it/s]\n 62%|██████▏   | 31/50 [00:05<00:02,  9.17it/s]\n 64%|██████▍   | 32/50 [00:05<00:01,  9.18it/s]\n 66%|██████▌   | 33/50 [00:05<00:01,  9.18it/s]\n 68%|██████▊   | 34/50 [00:05<00:01,  9.18it/s]\n 70%|███████   | 35/50 [00:05<00:01,  9.18it/s]\n 72%|███████▏  | 36/50 [00:05<00:01,  9.18it/s]\n 74%|███████▍  | 37/50 [00:05<00:01,  9.08it/s]\n 76%|███████▌  | 38/50 [00:05<00:01,  9.09it/s]\n 78%|███████▊  | 39/50 [00:05<00:01,  9.12it/s]\n 80%|████████  | 40/50 [00:06<00:01,  9.14it/s]\n 82%|████████▏ | 41/50 [00:06<00:00,  9.15it/s]\n 84%|████████▍ | 42/50 [00:06<00:00,  9.16it/s]\n 86%|████████▌ | 43/50 [00:06<00:00,  9.17it/s]\n 88%|████████▊ | 44/50 [00:06<00:00,  9.18it/s]\n 90%|█████████ | 45/50 [00:06<00:00,  9.18it/s]\n 92%|█████████▏| 46/50 [00:06<00:00,  9.18it/s]\n 94%|█████████▍| 47/50 [00:06<00:00,  9.18it/s]\n 96%|█████████▌| 48/50 [00:06<00:00,  9.18it/s]\n 98%|█████████▊| 49/50 [00:07<00:00,  9.19it/s]\n100%|██████████| 50/50 [00:07<00:00,  9.19it/s]\n100%|██████████| 50/50 [00:07<00:00,  6.98it/s]\nImages generation done.",
  "metrics": {
    "predict_time": 10.633876,
    "total_time": 10.677621
  },
  "output": [
    "https://replicate.delivery/pbxt/D83rtqQrJkatLdr01gckyPcHCOL5F7a9hD2UuJRJIReElUGIA/output_0_A%20gentleman%20otter.png"
  ],
  "started_at": "2022-12-22T22:55:59.246574Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/d6boiywj3rgtxfgjpdofk62eja",
    "cancel": "https://api.replicate.com/v1/predictions/d6boiywj3rgtxfgjpdofk62eja/cancel"
  },
  "version": "4ec7e01500986d7755dc7fae5109b6c642da9edef0eca9d7cbfbfff1713f9089"
}

Generated in

10.6 seconds

Tweak itReport View full prediction

Using seed 82372 with A gentleman otter
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Images generation done.

Examples

View more examples

Run time and cost

This model costs approximately $0.0080 to run on Replicate, or 125 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 6 seconds.

Readme

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Model description

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Intended use

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Ethical considerations

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Caveats and recommendations

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