deforum 0.1.7

diffusion animation toolkit

Deforum

Deforum is a Python package for diffusion animation toolkit.

Installation

You can install Deforum using one of the following methods:

PyPI

Install from PyPI using pip:

pip install deforum

Bash script (for Linux)

There's a provided bash script if you're on a Linux system.

./install-linux.sh

Batch file (for Windows)

There's a provided batch file if you're on a Windows system.

install-windows.bat

Requirements

Deforum has two sets of requirements which can be installed using:

pip install -r requirements.txt

For development requirements:

pip install -r requirements-dev.txt

Package Overview

Deforum is structured in following modules:

• backend: Contains the actual generation models. Options include base for Stable Diffusion 1.5 and sdxl for Stable Diffusion XL.

• data: Contains helper data for certain types of generation like wildcards, templates, prompts, stopwords, lightweight models.

• modules: Contains various helper classes and utilities for animation processing, controlnet auxiliary model processors, image transformation etc..

• pipelines: Contains pipeline classes which are used to generate images or videos using helper modules.

• typed_classes: Contains typed classes which are used for type validation and help.

• utils: Contains utilities for handling images, videos, and text outside of actual generation.

Usage

Here's a basic example:

import torch
from deforum import Deforum, DeforumConfig, GenerationArgs

config = DeforumConfig(
    model_name="Lykon/AbsoluteReality",
    model_type="sd1.5",
    dtype=torch.float16,
)

deforum = Deforum(config)

args = GenerationArgs(
    prompt="An ethereal cityscape under a starlit night sky",
    negative_prompt="blurry, bright, devoid, and boring",
    guidance_scale=7.5,
    sampler="euler_ancestral",
    num_inference_steps=30,
)

deforum.generate(args)

License

Deforum is licensed under the MIT License.

For more information please refer to license.

Notes

deforum/backend:

Actual model to be used for generation. Can be one of the following:

• base: Stable Diffusion 1.5
• sdxl: Stable Diffusion XL

deforum/backend/mixins:

Superclasses which are used when instantiating classes from backend

deforum/backend/attn_processors:

Diffusers Attention processors

• flash-attn-2

deforum/backend/model_loading:

Model loading factories for specific model types

• sd1.5 (sd_loader.py)
• sdxl (sdxl_loader.py)

deforum/backend/models:

Model classes for specific model types, which implement the actual __call__ function which performs the diffusion inference loop.

• sd1.5 (sd_pipeline.py)
• sdxl (sdxl_pipeline.py)
• abstract (abstract_pipeline.py) # abstract base class for all models

deforum/data:

Helper data for certain types of generation or misc things

• wildcards
• templates
• prompts
• light-weight-models
• stopwords

deforum/modules:

Animation helper classes, controlnet auxiliary model processors for use DURING a generation...

• animation
• controlnet
• stylegan2
• loras
• noise augmentations
• upscalers
• keyframing
• misc image transformations
• warp functions
• video compilation
• video postprocessing
• video processing
• video transformations
• video utils

deforum/pipelines:

Pipeline classes which are used to generate images or videos sample function implementation for the different models in backend, using helper modules from /modules

• base (txt2img, img2img, two-pass)
• vid2vid
• txt2vid
• prompt interpolation
• animatediff
• ...experimental pipelines

deforum/typed_classes:

Typed classes which are used for type validation and type help

• deforum initialization config
• pipeline specific arguments
• pipeline specific output classes

deforum/utils:

Utilities for working with images / videos / text outside of actual generation

• image handler
• template parser
• image filename processing
• reading / writing video files
• mixed model initialization

deforum/
    backend/
        mixins/
    data/
    modules/
    pipelines/
    typed_classes/
    utils/
    deforum.py