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# **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 dream> 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 dream.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 dream.py script. Invoke by adding --web to
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the dream.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 dream> 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-dream** 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 dream> 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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|
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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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|
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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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|
|
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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 dream> prompt to set and retrieve
|
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|
the path of the output directory.
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---
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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 -f environment.yaml" to load the k_lms dependencies!!**
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---
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## v1.01 (21 August 2022)
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|
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|
- added k_lms sampling.
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**Please run "conda env update -f environment.yaml" 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 dream.py to get slower but more accurate image generation
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|
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---
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## Links
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|
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- **[Read Me](readme.md)**
|
184
README.md
184
README.md
@ -4,6 +4,14 @@
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<img src="static/logo_temp.png"/>
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<img src="static/logo_temp.png"/>
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</p>
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</p>
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<p align="center">
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<img src="https://img.shields.io/github/last-commit/lstein/stable-diffusion?logo=Python&logoColor=green&style=for-the-badge" alt="last-commit"/>
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<img src="https://img.shields.io/github/stars/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="stars"/>
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|
<br>
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|
<img src="https://img.shields.io/github/issues/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="issues"/>
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|
<img src="https://img.shields.io/github/issues-pr/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="pull-requests"/>
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</p>
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This is a fork of CompVis/stable-diffusion, the wonderful open source
|
This is a fork of CompVis/stable-diffusion, the wonderful open source
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text-to-image generator. This fork supports:
|
text-to-image generator. This fork supports:
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|
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@ -15,7 +23,6 @@ text-to-image generator. This fork supports:
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|
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3. A basic Web interface that allows you to run a local web server for
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3. A basic Web interface that allows you to run a local web server for
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generating images in your browser.
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generating images in your browser.
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|
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4. A notebook for running the code on Google Colab.
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4. A notebook for running the code on Google Colab.
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|
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5. Upscaling and face fixing using the optional ESRGAN and GFPGAN
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5. Upscaling and face fixing using the optional ESRGAN and GFPGAN
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@ -32,8 +39,9 @@ and make feature requests, and check back periodically for
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improvements and bug fixes.
|
improvements and bug fixes.
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|
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# Table of Contents
|
# Table of Contents
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||||||
|
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1. [Major Features](#features)
|
1. [Major Features](#features)
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2. [Changelog](#changes)
|
2. [Changelog](#latest)
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3. [Installation](#installation)
|
3. [Installation](#installation)
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4. [Troubleshooting](#troubleshooting)
|
4. [Troubleshooting](#troubleshooting)
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5. [Support](#support)
|
5. [Support](#support)
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@ -380,7 +388,7 @@ Credit goes to @rinongal and the repository located at
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https://github.com/rinongal/textual_inversion Please see the
|
https://github.com/rinongal/textual_inversion Please see the
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repository and associated paper for details and limitations.
|
repository and associated paper for details and limitations.
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|
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# Changes
|
# Latest
|
||||||
|
|
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- v1.13 (in process)
|
- v1.13 (in process)
|
||||||
|
|
||||||
@ -392,94 +400,7 @@ repository and associated paper for details and limitations.
|
|||||||
- Can specify --grid on dream.py command line as the default.
|
- Can specify --grid on dream.py command line as the default.
|
||||||
- Miscellaneous internal bug and stability fixes.
|
- Miscellaneous internal bug and stability fixes.
|
||||||
|
|
||||||
- v1.12 (28 August 2022)
|
For older changelogs, please visit **[CHANGELOGS](CHANGELOG.md)**.
|
||||||
|
|
||||||
- Improved file handling, including ability to read prompts from standard input.
|
|
||||||
(kudos to [Yunsaki](https://github.com/yunsaki)
|
|
||||||
- The web server is now integrated with the dream.py script. Invoke by adding --web to
|
|
||||||
the dream.py command arguments.
|
|
||||||
- Face restoration and upscaling via GFPGAN and Real-ESGAN are now automatically
|
|
||||||
enabled if the GFPGAN directory is located as a sibling to Stable Diffusion.
|
|
||||||
VRAM requirements are modestly reduced. Thanks to both [Blessedcoolant](https://github.com/blessedcoolant) and
|
|
||||||
[Oceanswave](https://github.com/oceanswave) for their work on this.
|
|
||||||
- You can now swap samplers on the dream> command line. [Blessedcoolant](https://github.com/blessedcoolant)
|
|
||||||
|
|
||||||
- v1.11 (26 August 2022)
|
|
||||||
- NEW FEATURE: Support upscaling and face enhancement using the GFPGAN module. (kudos to [Oceanswave](https://github.com/Oceanswave)
|
|
||||||
- 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.
|
|
||||||
Seed memory only extends back to the previous command, but will work on all images generated with the -n# switch.
|
|
||||||
- Variant generation support temporarily disabled pending more general solution.
|
|
||||||
- Created a feature branch named **yunsaki-morphing-dream** which adds experimental support for
|
|
||||||
iteratively modifying the prompt and its parameters. Please see[ Pull Request #86](https://github.com/lstein/stable-diffusion/pull/86)
|
|
||||||
for a synopsis of how this works. Note that when this feature is eventually added to the main branch, it will may be modified
|
|
||||||
significantly.
|
|
||||||
- v1.10 (25 August 2022)
|
|
||||||
- A barebones but fully functional interactive web server for online generation of txt2img and img2img.
|
|
||||||
- v1.09 (24 August 2022)
|
|
||||||
- A new -v option allows you to generate multiple variants of an initial image
|
|
||||||
in img2img mode. (kudos to [Oceanswave](https://github.com/Oceanswave). [
|
|
||||||
See this discussion in the PR for examples and details on use](https://github.com/lstein/stable-diffusion/pull/71#issuecomment-1226700810))
|
|
||||||
- Added ability to personalize text to image generation (kudos to [Oceanswave](https://github.com/Oceanswave) and [nicolai256](https://github.com/nicolai256))
|
|
||||||
- Enabled all of the samplers from k_diffusion
|
|
||||||
- v1.08 (24 August 2022)
|
|
||||||
|
|
||||||
- Escape single quotes on the dream> command before trying to parse. This avoids
|
|
||||||
parse errors.
|
|
||||||
- Removed instruction to get Python3.8 as first step in Windows install.
|
|
||||||
Anaconda3 does it for you.
|
|
||||||
- Added bounds checks for numeric arguments that could cause crashes.
|
|
||||||
- Cleaned up the copyright and license agreement files.
|
|
||||||
|
|
||||||
- v1.07 (23 August 2022)
|
|
||||||
|
|
||||||
- Image filenames will now never fill gaps in the sequence, but will be assigned the
|
|
||||||
next higher name in the chosen directory. This ensures that the alphabetic and chronological
|
|
||||||
sort orders are the same.
|
|
||||||
|
|
||||||
- v1.06 (23 August 2022)
|
|
||||||
|
|
||||||
- Added weighted prompt support contributed by [xraxra](https://github.com/xraxra)
|
|
||||||
- Example of using weighted prompts to tweak a demonic figure contributed by [bmaltais](https://github.com/bmaltais)
|
|
||||||
|
|
||||||
- v1.05 (22 August 2022 - after the drop)
|
|
||||||
|
|
||||||
- Filenames now use the following formats:
|
|
||||||
000010.95183149.png -- Two files produced by the same command (e.g. -n2),
|
|
||||||
000010.26742632.png -- distinguished by a different seed.
|
|
||||||
|
|
||||||
000011.455191342.01.png -- Two files produced by the same command using
|
|
||||||
000011.455191342.02.png -- a batch size>1 (e.g. -b2). They have the same seed.
|
|
||||||
|
|
||||||
000011.4160627868.grid#1-4.png -- a grid of four images (-g); the whole grid can
|
|
||||||
be regenerated with the indicated key
|
|
||||||
|
|
||||||
- It should no longer be possible for one image to overwrite another
|
|
||||||
- You can use the "cd" and "pwd" commands at the dream> prompt to set and retrieve
|
|
||||||
the path of the output directory.
|
|
||||||
|
|
||||||
- v1.04 (22 August 2022 - after the drop)
|
|
||||||
|
|
||||||
- Updated README to reflect installation of the released weights.
|
|
||||||
- Suppressed very noisy and inconsequential warning when loading the frozen CLIP
|
|
||||||
tokenizer.
|
|
||||||
|
|
||||||
- v1.03 (22 August 2022)
|
|
||||||
|
|
||||||
- The original txt2img and img2img scripts from the CompViz repository have been moved into
|
|
||||||
a subfolder named "orig_scripts", to reduce confusion.
|
|
||||||
|
|
||||||
- v1.02 (21 August 2022)
|
|
||||||
|
|
||||||
- A copy of the prompt and all of its switches and options is now stored in the corresponding
|
|
||||||
image in a tEXt metadata field named "Dream". You can read the prompt using scripts/images2prompt.py,
|
|
||||||
or an image editor that allows you to explore the full metadata.
|
|
||||||
**Please run "conda env update -f environment.yaml" to load the k_lms dependencies!!**
|
|
||||||
|
|
||||||
- v1.01 (21 August 2022)
|
|
||||||
- added k_lms sampling.
|
|
||||||
**Please run "conda env update -f environment.yaml" to load the k_lms dependencies!!**
|
|
||||||
- use half precision arithmetic by default, resulting in faster execution and lower memory requirements
|
|
||||||
Pass argument --full_precision to dream.py to get slower but more accurate image generation
|
|
||||||
|
|
||||||
# Installation
|
# Installation
|
||||||
|
|
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@ -719,71 +640,72 @@ Downloading: "https://github.com/DagnyT/hardnet/raw/master/pretrained/train_libe
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100%|███████████████████████████████████████████████| 5.10M/5.10M [00:00<00:00, 101MB/s]
|
100%|███████████████████████████████████████████████| 5.10M/5.10M [00:00<00:00, 101MB/s]
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...success
|
...success
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```
|
```
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|
|
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# Troubleshooting
|
# Troubleshooting
|
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|
|
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Here are a few common installation problems and their solutions. Often
|
Here are a few common installation problems and their solutions. Often
|
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these are caused by incomplete installations or crashes during the
|
these are caused by incomplete installations or crashes during the
|
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install process.
|
install process.
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|
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* PROBLEM: During "conda env create -f environment.yaml", conda
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- PROBLEM: During "conda env create -f environment.yaml", conda
|
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hangs indefinitely.
|
hangs indefinitely.
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|
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* SOLUTION: Enter the stable-diffusion directory and completely
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- SOLUTION: Enter the stable-diffusion directory and completely
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remove the "src" directory and all its contents. The safest way
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remove the "src" directory and all its contents. The safest way
|
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to do this is to enter the stable-diffusion directory and
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to do this is to enter the stable-diffusion directory and
|
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give the command "git clean -f". If this still doesn't fix
|
give the command "git clean -f". If this still doesn't fix
|
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the problem, try "conda clean -all" and then restart at the
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the problem, try "conda clean -all" and then restart at the
|
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"conda env create" step.
|
"conda env create" step.
|
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|
|
||||||
---
|
---
|
||||||
|
|
||||||
* PROBLEM: dream.py crashes with the complaint that it can't find
|
- PROBLEM: dream.py crashes with the complaint that it can't find
|
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ldm.simplet2i.py. Or it complains that function is being passed
|
ldm.simplet2i.py. Or it complains that function is being passed
|
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incorrect parameters.
|
incorrect parameters.
|
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|
|
||||||
* SOLUTION: Reinstall the stable diffusion modules. Enter the
|
- SOLUTION: Reinstall the stable diffusion modules. Enter the
|
||||||
stable-diffusion directory and give the command "pip install -e ."
|
stable-diffusion directory and give the command "pip install -e ."
|
||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
* PROBLEM: dream.py dies, complaining of various missing modules, none
|
- PROBLEM: dream.py dies, complaining of various missing modules, none
|
||||||
of which starts with "ldm".
|
of which starts with "ldm".
|
||||||
|
|
||||||
* SOLUTION: From within the stable-diffusion directory, run "conda env
|
- SOLUTION: From within the stable-diffusion directory, run "conda env
|
||||||
update -f environment.yaml" This is also frequently the solution to
|
update -f environment.yaml" This is also frequently the solution to
|
||||||
complaints about an unknown function in a module.
|
complaints about an unknown function in a module.
|
||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
* PROBLEM: There's a feature or bugfix in the Stable Diffusion GitHub
|
- PROBLEM: There's a feature or bugfix in the Stable Diffusion GitHub
|
||||||
that you want to try out.
|
that you want to try out.
|
||||||
|
|
||||||
* SOLUTION: If the fix/feature is on the "main" branch, enter the stable-diffusion
|
- SOLUTION: If the fix/feature is on the "main" branch, enter the stable-diffusion
|
||||||
directory and do a "git pull". Usually this will be sufficient, but if
|
directory and do a "git pull". Usually this will be sufficient, but if
|
||||||
you start to see errors about missing or incorrect modules, use the
|
you start to see errors about missing or incorrect modules, use the
|
||||||
command "pip install -e ." and/or "conda env update -f environment.yaml"
|
command "pip install -e ." and/or "conda env update -f environment.yaml"
|
||||||
(These commands won't break anything.)
|
(These commands won't break anything.)
|
||||||
|
|
||||||
* If the feature/fix is on a branch (e.g. "foo-bugfix"), the recipe is similar, but
|
- If the feature/fix is on a branch (e.g. "foo-bugfix"), the recipe is similar, but
|
||||||
do a "git pull <name of branch>".
|
do a "git pull <name of branch>".
|
||||||
|
|
||||||
* If the feature/fix is in a pull request that has not yet been made
|
- If the feature/fix is in a pull request that has not yet been made
|
||||||
part of the main branch or a feature/bugfix branch, then from the page
|
part of the main branch or a feature/bugfix branch, then from the page
|
||||||
for the desired pull request, look for the line at the top that reads
|
for the desired pull request, look for the line at the top that reads
|
||||||
"xxxx wants to merge xx commits into lstein:main from YYYYYY". Copy
|
"xxxx wants to merge xx commits into lstein:main from YYYYYY". Copy
|
||||||
the URL in YYYY. It should have the format
|
the URL in YYYY. It should have the format
|
||||||
https://github.com/<name of contributor>/stable-diffusion/tree/<name
|
https://github.com/<name of contributor>/stable-diffusion/tree/<name
|
||||||
of branch>
|
of branch>
|
||||||
|
|
||||||
* Then **go to the directory above stable-diffusion**, and rename the
|
- Then **go to the directory above stable-diffusion**, and rename the
|
||||||
directory to "stable-diffusion.lstein", "stable-diffusion.old", or
|
directory to "stable-diffusion.lstein", "stable-diffusion.old", or
|
||||||
whatever. You can then git clone the branch that contains the
|
whatever. You can then git clone the branch that contains the
|
||||||
pull request:
|
pull request:
|
||||||
|
|
||||||
~~~~
|
```
|
||||||
git clone https://github.com/<name of contributor>/stable-diffusion/tree/<name
|
git clone https://github.com/<name of contributor>/stable-diffusion/tree/<name
|
||||||
of branch>
|
of branch>
|
||||||
~~~~
|
```
|
||||||
|
|
||||||
You will need to go through the install procedure again, but it should
|
You will need to go through the install procedure again, but it should
|
||||||
be fast because all the dependencies are already loaded.
|
be fast because all the dependencies are already loaded.
|
||||||
|
Loading…
x
Reference in New Issue
Block a user