edenartlab/sdxl-pipelines:e0b2af59 – Run with an API on Replicate

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edenartlab /sdxl-pipelines:e0b2af59

Playground API

Input

mode

string

Mode

Default: "create"

stream

boolean

yield individual results if True

Default: false

stream_every

integer

(minimum: 1, maximum: 25)

for mode create, how many steps per update to stream (steam must be set to True)

Default: 1

width

integer

(minimum: 512, maximum: 2048)

Width

Default: 1024

height

integer

(minimum: 512, maximum: 2048)

Height

Default: 1024

checkpoint

string

Which Stable Diffusion checkpoint to use

Default: "juggernaut_XL2"

lora

string

Shift + Return to add a new line

(optional) URL of Lora finetuning

lora_scale

number

(minimum: 0, maximum: 1.5)

Lora scale (how much of the Lora finetuning to apply)

Default: 0.7

sampler

string

Which sampler to use

Default: "euler"

steps

integer

(minimum: 10, maximum: 70)

Diffusion steps

Default: 35

guidance_scale

number

(minimum: 0, maximum: 20)

Strength of text conditioning guidance

Default: 7.5

upscale_f

number

(minimum: 1, maximum: 2)

Upscaling resolution

Default: 1

init_image

string

Shift + Return to add a new line

Load initial image from file, url, or base64 string

init_image_strength

number

(minimum: 0, maximum: 1)

Strength of initial image

Default: 0

adopt_aspect_from_init_img

boolean

Adopt aspect ratio from init image

Default: true

controlnet_type

string

Controlnet type

Default: "off"

control_image

string

Shift + Return to add a new line

image for controlnet guidance

control_image_strength

number

(minimum: 0, maximum: 1.5)

Strength of control image

Default: 0

ip_image

string

Shift + Return to add a new line

Load ip_adapter image from file, url, or base64 string

ip_image_strength

number

(minimum: 0, maximum: 1.25)

Strength of image conditioning from ip_adapter (vs txt conditioning from clip-interrogator or prompt) (used in remix, upscale, blend and real2real)

Default: 0.65

text_input

string

Shift + Return to add a new line

Text input

uc_text

string

Shift + Return to add a new line

nude, naked, text, watermark, low-quality, signature, padding, margins, white borders, padded border, moiré pattern, downsampling, aliasing, distorted, blurry, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, grainy, error, bad-contrastnude, naked, text, watermark, low-quality, signature, padding, margins, white borders, padded border, moiré pattern, downsampling, aliasing, distorted, blurry, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, grainy, error, bad-contrast

Negative text input (mode==all)

Default: "nude, naked, text, watermark, low-quality, signature, padding, margins, white borders, padded border, moiré pattern, downsampling, aliasing, distorted, blurry, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, grainy, error, bad-contrast"

seed

integer

(minimum: 0, maximum: 10000000000)

random seed

Default: 13

n_samples

integer

(minimum: 1, maximum: 4)

batch size

Default: 1

n_frames

integer

(minimum: 3, maximum: 1000)

Total number of frames for video modes

Default: 40

interpolation_texts

string

Shift + Return to add a new line

Interpolation texts for video modes

interpolation_seeds

string

Shift + Return to add a new line

Seeds for interpolated texts for video modes

interpolation_init_images

string

Shift + Return to add a new line

Interpolation init images, file paths or urls for video modes

interpolation_init_images_power

number

(minimum: 0.5, maximum: 5)

Power for interpolation_init_images prompts for video modes

Default: 2.5

interpolation_init_images_min_strength

number

(minimum: 0, maximum: 1)

Minimum init image strength for interpolation_init_images prompts for video modes

Default: 0.05

interpolation_init_images_max_strength

number

(minimum: 0, maximum: 1)

Maximum init image strength for interpolation_init_images prompts for video modes

Default: 0.95

audio_file

string

Shift + Return to add a new line

An audio file to use for real2real_audio

loop

boolean

Loops (mode==interpolate & real2real)

Default: true

smooth

boolean

Smooth (mode==interpolate & real2real)

Default: true

latent_blending_skip_f

string

Shift + Return to add a new line

What fraction of the denoising trajectory to skip at the start and end of each interpolation phase, two floats, separated by a pipe (|)

Default: "0.05|0.6"

n_anchor_imgs

integer

(minimum: 3, maximum: 6)

Number of anchor frames to render (including keyframes) before activating latent blending

Default: 3

n_film

integer

(minimum: 0, maximum: 3)

Number of times to smooth final frames with FILM (default is 0) (mode==interpolate)

Default: 1

fps

integer

(minimum: 1, maximum: 30)

Frames per second (mode==interpolate & real2real)

Default: 12

use_lcm

boolean

Smooth (mode==interpolate & real2real)

Default: false

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

npx create-replicate --model=edenartlab/sdxl-pipelines

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 edenartlab/sdxl-pipelines using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "edenartlab/sdxl-pipelines:e0b2af599bcfcbbdd5e5b858a6e5eaccfd12ec0f9b58cc66b25f7b57c9f517cf",
  {
    input: {
      fps: 12,
      loop: true,
      mode: "create",
      seed: 13,
      steps: 35,
      width: 1024,
      height: 1024,
      n_film: 1,
      smooth: true,
      stream: false,
      sampler: "euler",
      uc_text: "nude, naked, text, watermark, low-quality, signature, padding, margins, white borders, padded border, moiré pattern, downsampling, aliasing, distorted, blurry, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, grainy, error, bad-contrast",
      use_lcm: false,
      n_frames: 40,
      n_samples: 1,
      upscale_f: 1,
      checkpoint: "juggernaut_XL2",
      lora_scale: 0.7,
      stream_every: 1,
      n_anchor_imgs: 3,
      guidance_scale: 7.5,
      controlnet_type: "off",
      ip_image_strength: 0.65,
      init_image_strength: 0,
      control_image_strength: 0,
      latent_blending_skip_f: "0.05|0.6",
      adopt_aspect_from_init_img: true,
      interpolation_init_images_power: 2.5,
      interpolation_init_images_max_strength: 0.95,
      interpolation_init_images_min_strength: 0.05
    }
  }
);

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 edenartlab/sdxl-pipelines using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "edenartlab/sdxl-pipelines:e0b2af599bcfcbbdd5e5b858a6e5eaccfd12ec0f9b58cc66b25f7b57c9f517cf",
    input={
        "fps": 12,
        "loop": True,
        "mode": "create",
        "seed": 13,
        "steps": 35,
        "width": 1024,
        "height": 1024,
        "n_film": 1,
        "smooth": True,
        "stream": False,
        "sampler": "euler",
        "uc_text": "nude, naked, text, watermark, low-quality, signature, padding, margins, white borders, padded border, moiré pattern, downsampling, aliasing, distorted, blurry, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, grainy, error, bad-contrast",
        "use_lcm": False,
        "n_frames": 40,
        "n_samples": 1,
        "upscale_f": 1,
        "checkpoint": "juggernaut_XL2",
        "lora_scale": 0.7,
        "stream_every": 1,
        "n_anchor_imgs": 3,
        "guidance_scale": 7.5,
        "controlnet_type": "off",
        "ip_image_strength": 0.65,
        "init_image_strength": 0,
        "control_image_strength": 0,
        "latent_blending_skip_f": "0.05|0.6",
        "adopt_aspect_from_init_img": True,
        "interpolation_init_images_power": 2.5,
        "interpolation_init_images_max_strength": 0.95,
        "interpolation_init_images_min_strength": 0.05
    }
)

# The edenartlab/sdxl-pipelines model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/edenartlab/sdxl-pipelines/api#output-schema
    print(item)

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 edenartlab/sdxl-pipelines 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": "edenartlab/sdxl-pipelines:e0b2af599bcfcbbdd5e5b858a6e5eaccfd12ec0f9b58cc66b25f7b57c9f517cf",
    "input": {
      "fps": 12,
      "loop": true,
      "mode": "create",
      "seed": 13,
      "steps": 35,
      "width": 1024,
      "height": 1024,
      "n_film": 1,
      "smooth": true,
      "stream": false,
      "sampler": "euler",
      "uc_text": "nude, naked, text, watermark, low-quality, signature, padding, margins, white borders, padded border, moiré pattern, downsampling, aliasing, distorted, blurry, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, grainy, error, bad-contrast",
      "use_lcm": false,
      "n_frames": 40,
      "n_samples": 1,
      "upscale_f": 1,
      "checkpoint": "juggernaut_XL2",
      "lora_scale": 0.7,
      "stream_every": 1,
      "n_anchor_imgs": 3,
      "guidance_scale": 7.5,
      "controlnet_type": "off",
      "ip_image_strength": 0.65,
      "init_image_strength": 0,
      "control_image_strength": 0,
      "latent_blending_skip_f": "0.05|0.6",
      "adopt_aspect_from_init_img": true,
      "interpolation_init_images_power": 2.5,
      "interpolation_init_images_max_strength": 0.95,
      "interpolation_init_images_min_strength": 0.05
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.