v3.4.2 release with Windows installer

Fixes

• Fix for Stable Cascade models not honoring --seeds values, leading to the inability to produce deterministic output when specific seeds were provided for generation.

v3.4.1 release

Fixes

• Fix broken pix2pix pipeline selection for stable diffusion and stable diffusion XL that rendered pix2pix unusable

v3.4.0 release

New Features / Fixes

• Ability to generate images with Stable Cascade, supports txt2img and img2img mode, compatible with --loras, see: examples
• Ability to specify a custom UNet for SDXL Refiners and Stable Cascade decoders using --unet2 option
• Fix dependency issue preventing installation on nix* systems
• Fix to --output-metadata and --output-configs excluding last line of config if ending in an opt with no argument
• Fix dtype=float16 mode of upscaler image processor for models that support float16

v3.3.0 release

New Features / Fixes

• diffusers v0.27.2
• latest torch & cuda, torch 2.2.2 - with cuda 12.1
• tile overlap plugin argument of the upscaler image processor can be set to 0 without error
• tile plugin argument of the upscaler image processor can be set to 0 to force disable tiling
• new force-tiling boolean argument of the upscaler image processor, allows forcing external tiling for models where it is discouraged
• dtype of upscaler models used by the upscaler image processor can be selected via a plugin argument dtype=float32 or dtype=float16, only some models may support float16
• auto tile size estimation in the upscaler via tile=auto plugin argument value
• --auth-token bug fixes, not being honored correctly in some cases

v3.2.0 release

New Features / Fixes

See: dgenerate --image-processor-help upscaler

• chaiNNer / spandrel model architectures which accept only 1 color channel (grayscale input) now function properly. Color images which are fed to grayscale only models are converted to grayscale internally, grayscale input images are passed as is.

• Model architectures used with the upscaler image processor which discourage tiling no longer tile by default, and must be forced to do so by passing a plugin argument "upscaler;force-tiling=true;model=..." if desired.

• Model architectures which tile internally such as the DDColor architecture for image colorization will not undergo external tiling and cannot be forced to do so.

• Slightly optimized external tiling of images being processed by the upscaler plugin

• Better error output when an image processor plugin is provided an invalid device argument

v3.1.1 release

Patch Release

spandrel upgraded to v0.3.1 to support new models via the upscaler image processor,
added spandrel_extra_arches for additional model support.

v3.1.0 release

New Features v3

• diffusers 0.23.1
• Breaking library changes and config language changes
• Improved syntax for top level templates in config
• New library interface for handling render loop events, an iterable render loop event stream which is more streamline than using a bunch of callbacks
• Improved and robustified URI parsing
• User specifiable unet pipeline component --unet
• Latent Consistency Model support, LCMScheduler, LCM LoRA & UNet, for super fast inference
• ConsistencyDecoderVAE VAE support, DALLE-3 contributed decoder
• --post-processor option
• --model-cpu-offload, --model-sequential-offload, --sdxl-refiner-cpu-offload, and --sdxl-refiner-sequential-offload for manually enabling and VRAM optimizations.
• --sub-command option and new sub-command image-process and accompanying config directive \image_process, which can apply dgenerates image processor implementations to any image, animated image, or video that you want. Reusable library interface included
• A dozen new image processors including new edge detectors, depth detection, and segmentation. Includes the image processorupscaler which can upscale / restore images using models from: https://openmodeldb.info/
• Improved generic plugin system. Added config plugins, includes ability to implement config directives

v3.0.2 release

Patch Release

• Disable full exception trace output for config script runner
• Single file torch VAE load fix, missing attribute reference

New Features v3

• diffusers 0.23.1
• Breaking library changes and config language changes
• Improved syntax for top level templates in config
• New library interface for handling render loop events, an iterable render loop event stream which is more streamline than using a bunch of callbacks
• Improved and robustified URI parsing
• User specifiable unet pipeline component --unet
• Latent Consistency Model support, LCMScheduler, LCM LoRA & UNet, for super fast inference
• ConsistencyDecoderVAE VAE support, DALLE-3 contributed decoder
• --post-processor option
• --model-cpu-offload, --model-sequential-offload, --sdxl-refiner-cpu-offload, and --sdxl-refiner-sequential-offload for manually enabling and VRAM optimizations.
• --sub-command option and new sub-command image-process and accompanying config directive \image_process, which can apply dgenerates image processor implementations to any image, animated image, or video that you want. Reusable library interface included
• A dozen new image processors including new edge detectors, depth detection, and segmentation. Includes the image processorupscaler which can upscale / restore images using models from: https://openmodeldb.info/
• Improved generic plugin system. Added config plugins, includes ability to implement config directives

v3.0.0 release

New Features

• diffusers 0.23.1
• Breaking library changes and config language changes
• Improved syntax for top level templates in config
• New library interface for handling render loop events, an iterable render loop event stream which is more streamline than using a bunch of callbacks
• Improved an robustified URI parsing
• User specifiable unet pipeline component --unet
• Latent Consistency Model support, LCMScheduler, LCM LoRA & UNet, for super fast inference
• ConsistencyDecoderVAE VAE support, DALLE-3 contributed decoder
• --post-processor option
• --model-cpu-offload, --model-sequential-offload, --sdxl-refiner-cpu-offload, and --sdxl-refiner-sequential-offload for manually enabling and VRAM optimizations.
• --sub-command option and new sub-command image-process and accompanying config directive \image_process, which can apply dgenerates image processor implementations to any image, animated image, or video that you want. Reusable library interface included
• A dozen new image processors including new edge detectors, depth detection, and segmentation. Includes the image processorupscaler which can upscale / restore images using models from: https://openmodeldb.info/
• Improved generic plugin system. Added config plugins, includes ability to implement config directives

v2.1.1 release

Patch Release:

• Fix missing transient dependencies pytorch-lightning, lightning-utilities, lightning-fabric in python environment created by the windows installer. Causes issues loading certain models off disk.