mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
98fe044dee
- rename dream.py to invoke.py - create a compatibility script named dream.py that execs() invoke.py - redo documentation - change help message in args - this does **not** rename the libraries, which are still ldm.dream.util, etc
138 lines
5.5 KiB
Markdown
138 lines
5.5 KiB
Markdown
# **Changelog**
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## v1.13 (in process)
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- Supports a Google Colab notebook for a standalone server running on Google hardware [Arturo Mendivil](https://github.com/artmen1516)
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- WebUI supports GFPGAN/ESRGAN facial reconstruction and upscaling [Kevin Gibbons](https://github.com/bakkot)
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- WebUI supports incremental display of in-progress images during generation [Kevin Gibbons](https://github.com/bakkot)
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- Output directory can be specified on the invoke> command line.
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- The grid was displaying duplicated images when not enough images to fill the final row [Muhammad Usama](https://github.com/SMUsamaShah)
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- Can specify --grid on invoke.py command line as the default.
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- Miscellaneous internal bug and stability fixes.
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---
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## v1.12 (28 August 2022)
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- Improved file handling, including ability to read prompts from standard input.
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(kudos to [Yunsaki](https://github.com/yunsaki)
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- The web server is now integrated with the invoke.py script. Invoke by adding --web to
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the invoke.py command arguments.
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- Face restoration and upscaling via GFPGAN and Real-ESGAN are now automatically
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enabled if the GFPGAN directory is located as a sibling to Stable Diffusion.
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VRAM requirements are modestly reduced. Thanks to both [Blessedcoolant](https://github.com/blessedcoolant) and
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[Oceanswave](https://github.com/oceanswave) for their work on this.
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- You can now swap samplers on the invoke> command line. [Blessedcoolant](https://github.com/blessedcoolant)
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---
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## v1.11 (26 August 2022)
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- NEW FEATURE: Support upscaling and face enhancement using the GFPGAN module. (kudos to [Oceanswave](https://github.com/Oceanswave)
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- You now can specify a seed of -1 to use the previous image's seed, -2 to use the seed for the image generated before that, etc.
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Seed memory only extends back to the previous command, but will work on all images generated with the -n# switch.
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- Variant generation support temporarily disabled pending more general solution.
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- Created a feature branch named **yunsaki-morphing-invoke** which adds experimental support for
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iteratively modifying the prompt and its parameters. Please see[ Pull Request #86](https://github.com/lstein/stable-diffusion/pull/86)
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for a synopsis of how this works. Note that when this feature is eventually added to the main branch, it will may be modified
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significantly.
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---
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## v1.10 (25 August 2022)
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- A barebones but fully functional interactive web server for online generation of txt2img and img2img.
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---
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## v1.09 (24 August 2022)
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- A new -v option allows you to generate multiple variants of an initial image
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in img2img mode. (kudos to [Oceanswave](https://github.com/Oceanswave). [
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See this discussion in the PR for examples and details on use](https://github.com/lstein/stable-diffusion/pull/71#issuecomment-1226700810))
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- Added ability to personalize text to image generation (kudos to [Oceanswave](https://github.com/Oceanswave) and [nicolai256](https://github.com/nicolai256))
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- Enabled all of the samplers from k_diffusion
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---
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## v1.08 (24 August 2022)
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- Escape single quotes on the invoke> command before trying to parse. This avoids
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parse errors.
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- Removed instruction to get Python3.8 as first step in Windows install.
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Anaconda3 does it for you.
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- Added bounds checks for numeric arguments that could cause crashes.
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- Cleaned up the copyright and license agreement files.
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---
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## v1.07 (23 August 2022)
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- Image filenames will now never fill gaps in the sequence, but will be assigned the
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next higher name in the chosen directory. This ensures that the alphabetic and chronological
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sort orders are the same.
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---
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## v1.06 (23 August 2022)
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- Added weighted prompt support contributed by [xraxra](https://github.com/xraxra)
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- Example of using weighted prompts to tweak a demonic figure contributed by [bmaltais](https://github.com/bmaltais)
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---
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## v1.05 (22 August 2022 - after the drop)
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- Filenames now use the following formats:
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000010.95183149.png -- Two files produced by the same command (e.g. -n2),
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000010.26742632.png -- distinguished by a different seed.
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000011.455191342.01.png -- Two files produced by the same command using
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000011.455191342.02.png -- a batch size>1 (e.g. -b2). They have the same seed.
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000011.4160627868.grid#1-4.png -- a grid of four images (-g); the whole grid can
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be regenerated with the indicated key
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- It should no longer be possible for one image to overwrite another
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- You can use the "cd" and "pwd" commands at the invoke> prompt to set and retrieve
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the path of the output directory.
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---
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## v1.04 (22 August 2022 - after the drop)
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- Updated README to reflect installation of the released weights.
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- Suppressed very noisy and inconsequential warning when loading the frozen CLIP
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tokenizer.
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---
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## v1.03 (22 August 2022)
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- The original txt2img and img2img scripts from the CompViz repository have been moved into
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a subfolder named "orig_scripts", to reduce confusion.
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---
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## v1.02 (21 August 2022)
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- A copy of the prompt and all of its switches and options is now stored in the corresponding
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image in a tEXt metadata field named "Dream". You can read the prompt using scripts/images2prompt.py,
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or an image editor that allows you to explore the full metadata.
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**Please run "conda env update" to load the k_lms dependencies!!**
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---
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## v1.01 (21 August 2022)
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- added k_lms sampling.
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**Please run "conda env update" to load the k_lms dependencies!!**
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- use half precision arithmetic by default, resulting in faster execution and lower memory requirements
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Pass argument --full_precision to invoke.py to get slower but more accurate image generation
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---
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## Links
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- **[Read Me](../readme.md)**
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