Releases: invoke-ai/InvokeAI
InvokeAI Version 2.0.2 - A Stable Diffusion Toolkit
The invoke-ai team is excited to be able to share the release of InvokeAI 2.0 - A Stable Diffusion Toolkit, a project that aims to provide enthusiasts and professionals both a suite of robust image creation tools. Optimized for efficiency, InvokeAI needs only ~3.5GB of VRAM to generate a 512x768 image (and less for smaller images), and is compatible with Windows/Linux/Mac (M1 & M2).
InvokeAI was one of the earliest forks of the core CompVis repo (formerly lstein/stable-diffusion), and recently evolved into a full-fledged community driven and open source stable diffusion toolkit named InvokeAI. Version 2.0.0 of the tool introduces an entirely new WebUI Front-end with a Desktop mode, and an optimized back-end server that can be interacted with via CLI or extended with your own fork.
Release 2.0.2 updates three Python dependencies that were recently reported to have critical security holes, and enhances documentation. Otherwise, the feature set is identical to 2.0.1.
This version of the app improves in-app workflows leveraging GFPGAN and Codeformer for face restoration, and RealESRGAN upscaling - Additionally, the CLI also supports a large variety of features:
- Inpainting
- Outpainting
- Negative Prompts (prompt unconditioning)
- Fast online model switching
- Textual Inversion
- Improved Quality for Hi-Resolution Images (Embiggen, Hi-res Fixes, etc.)
- And more...
Future updates planned included UI driven outpainting/inpainting, robust Cross Attention support, and an advanced node workflow for automating and sharing your workflows with the community.
What's Changed
- hotfix(venv): rename 'ldm' -> 'invokeai' by @tildebyte in #1014
- Fix two broken links in README by @Miserlou in #1026
- fixed old reference to ldm on activate env by @nunocoracao in #1029
- Fix the link to the weights download page by @Hkmu in #1041
- reintroduce fix for m1 from #579 missing after merge by @skurovec in #1055
- More mkdocs updates by @mauwii in #1057
- Add back old
dream.pyaslegacy_api.pyby @CapableWeb in #1070
New Contributors
- @Miserlou made their first contribution in #1026
- @nunocoracao made their first contribution in #1029
- @Hkmu made their first contribution in #1041
Full Changelog: v2.0.0...v2.0.1
What's Changed
- update mac instructions to use invokeai for env name by @willwillems in #1030
- Update .gitignore by @blessedcoolant in #1040
- reintroduce fix for m1 from #579 missing after merge by @skurovec in #1056
- Update Stable_Diffusion_AI_Notebook.ipynb (Take 2) by @ChloeL19 in #1060
- Print out the device type which is used by @manzke in #1073
- Hires Addition by @hipsterusername in #1063
- fix for "1 leaked semaphore objects to clean up at shutdown" on M1 by @skurovec in #1081
- Forward dream.py to invoke.py using the same interpreter, add deprecation warning by @db3000 in #1077
- fix noisy images at high step counts by @lstein in #1086
- Generalize facetool strength argument by @db3000 in #1078
- Enable fast switching among models at the invoke> command line by @lstein in #1066
- Fix Typo, committed changing ldm environment to invokeai by @jdries3 in #1095
- Update generate.py by @unreleased in #1109
- Update 'ldm' env to 'invokeai' in troubleshooting steps by @19wolf in #1125
- Fixed documentation typos and resolved merge conflicts by @rupeshs in #1123
- Fix broken doc links, fix malaprop in the project subtitle by @majick in #1131
- Only output facetool parameters if enhancing faces by @db3000 in #1119
- Update gitignore to ignore codeformer weights at new location by @spezialspezial in #1136
- fix links to point to invoke-ai.github.io #1117 by @mauwii in #1143
- Rework-mkdocs by @mauwii in #1144
- add option to CLI and pngwriter that allows user to set PNG compression level by @lstein in #1127
- Fix img2img DDIM index out of bound by @wfng92 in #1137
- Fix gh actions by @mauwii in #1128
New Contributors
- @willwillems made their first contribution in #1030
- @ChloeL19 made their first contribution in #1060
- @manzke made their first contribution in #1073
- @unreleased made their first contribution in #1109
- @rupeshs made their first contribution in #1123
- @majick made their first contribution in #1131
- @wfng92 made their first contribution in #1137
Full Changelog: v2.0.1...v2.0.2
Contributors
Assets 2
InvokeAI Version 2.0.1 - A Stable Diffusion Toolkit
The invoke-ai team is excited to be able to share the release of InvokeAI 2.0 - A Stable Diffusion Toolkit, a project that aims to provide enthusiasts and professionals both a suite of robust image creation tools. Optimized for efficiency, InvokeAI needs only ~3.5GB of VRAM to generate a 512x768 image (and less for smaller images), and is compatible with Windows/Linux/Mac (M1 & M2).
InvokeAI was one of the earliest forks of the core CompVis repo (formerly lstein/stable-diffusion), and recently evolved into a full-fledged community driven and open source stable diffusion toolkit named InvokeAI. Version 2.0.0 of the tool introduces an entirely new WebUI Front-end with a Desktop mode, and an optimized back-end server that can be interacted with via CLI or extended with your own fork.
Release 2.0.1 corrects an error that was causing the k* samplers to produce noisy images at high step counts. Otherwise the feature set is the same as 2.0.0.
This version of the app improves in-app workflows leveraging GFPGAN and Codeformer for face restoration, and RealESRGAN upscaling - Additionally, the CLI also supports a large variety of features:
- Inpainting
- Outpainting
- Negative Prompts (prompt unconditioning)
- Fast online model switching
- Textual Inversion
- Improved Quality for Hi-Resolution Images (Embiggen, Hi-res Fixes, etc.)
- And more...
Future updates planned included UI driven outpainting/inpainting, robust Cross Attention support, and an advanced node workflow for automating and sharing your workflows with the community.
What's Changed
- hotfix(venv): rename 'ldm' -> 'invokeai' by @tildebyte in #1014
- Fix two broken links in README by @Miserlou in #1026
- fixed old reference to ldm on activate env by @nunocoracao in #1029
- Fix the link to the weights download page by @Hkmu in #1041
- reintroduce fix for m1 from #579 missing after merge by @skurovec in #1055
- More mkdocs updates by @mauwii in #1057
- Add back old
dream.pyaslegacy_api.pyby @CapableWeb in #1070
New Contributors
- @Miserlou made their first contribution in #1026
- @nunocoracao made their first contribution in #1029
- @Hkmu made their first contribution in #1041
Full Changelog: v2.0.0...v2.0.1
Contributors
Assets 2
InvokeAI Version 2.0.0 - A Stable Diffusion Toolkit
The invoke-ai team is excited to be able to share the release of InvokeAI 2.0 - A Stable Diffusion Toolkit, a project that aims to provide enthusiasts and professionals both a suite of robust image creation tools. Optimized for efficiency, InvokeAI needs only ~3.5GB of VRAM to generate a 512x768 image (and less for smaller images), and is compatible with Windows/Linux/Mac (M1 & M2).
InvokeAI was one of the earliest forks of the core CompVis repo (formerly lstein/stable-diffusion), and recently evolved into a full-fledged community driven and open source stable diffusion toolkit named InvokeAI. Version 2.0.0 of the tool introduces an entirely new WebUI Front-end with a Desktop mode, and an optimized back-end server that can be interacted with via CLI or extended with your own fork.
This version of the app improves in-app workflows leveraging GFPGAN and Codeformer for face restoration, and RealESRGAN upscaling - Additionally, the CLI also supports a large variety of features:
- Inpainting
- Outpainting
- Negative Prompts (prompt unconditioning)
- Textual Inversion
- Improved Quality for Hi-Resolution Images (Embiggen, Hi-res Fixes, etc.)
- And more...
Future updates planned included UI driven outpainting/inpainting, robust Cross Attention support, and an advanced node workflow for automating and sharing your workflows with the community.
SD-Dream Version 1.14.1
This is identical to release 1.14 except that it reverts the name of the conda environment from "sd-ldm" back to the original "ldm".
Features from 1.14:
- Memory optimizations for small-RAM cards. 512x512 now possible on 4 GB GPUs.
- Full support for Apple hardware with M1 or M2 chips.
- Add "seamless mode" for circular tiling of image. Generates beautiful effects. (prixt).
- Inpainting support.
- Improved web server GUI.
- Lots of code and documentation cleanups.
SD-Dream Version 1.14
- Memory optimizations for small-RAM cards. 512x512 now possible on 4 GB GPUs.
- Full support for Apple hardware with M1 or M2 chips.
- Add "seamless mode" for circular tiling of image. Generates beautiful effects. (prixt).
- Inpainting support.
- Improved web server GUI.
- Lots of code and documentation cleanups.
SD-Dream Version 1.13
New features and bug fixes:
- Support image variations (see VARIATIONS.md) (Kevin Gibbons and many contributors and reviewers)
- Supports a Google Colab notebook for a standalone server running on Google hardware Arturo Mendivil
- WebUI supports GFPGAN/ESRGAN facial reconstruction and upscaling Kevin Gibbons
- WebUI supports incremental display of in-progress images during generation Kevin Gibbons
- A new configuration file scheme that allows new models (including upcoming stable-diffusion-v1.5) to be added without altering the code. (David Wager)
- Can specify --grid on dream.py command line as the default.
- Miscellaneous internal bug and stability fixes.
- Works on M1 Apple hardware (several contributors, but particular thanks to James Reynolds )
- Multiple bug fixes.