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https://github.com/vladmandic/automatic
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update readme/changelog
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Vladimir Mandic
+34
-31
@@ -16,59 +16,59 @@ And probably the biggest release since introduction of **Diffusers**
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Note that for this release its recommended to perform a clean install (fresh `git clone`)
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Upgrades are still possible and supported, but above is recommended for best experience
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- **UI**
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- **UI**
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- added **change log** to UI
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see *System -> Changelog*
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- converted submenus from checkboxes to accordion elements
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any ui state including state of open/closed menus can be saved as default!
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see *System -> User interface -> Set menu states*
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- new built-in theme **invokeai**
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thanks @BinaryQuantumSoul
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thanks @BinaryQuantumSoul
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- add **compact view** option in settings -> user interface
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- small visual indicator bottom right of page showing internal server job state
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- **Extra networks**:
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- **Details**
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- **Details**
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- new details interface to view and save data about extra networks
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main ui now has a single button on each en to trigger details view
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- details view includes model/lora metadata parser!
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- details view includes civitai model metadata!
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- **Metadata**:
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- **Metadata**:
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- you can scan [civitai](https://civitai.com/)
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for missing metadata and previews directly from extra networks
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simply click on button in top-right corner of extra networks page
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- **Styles**
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- **Styles**
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- save/apply icons moved to extra networks
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- can be edited in details view
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- support for single or multiple styles per json
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- support for embedded previews
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- **VAE**
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- VAEs are now also listed as part of extra networks
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- **Refiner**
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- **VAE**
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- VAEs are now also listed as part of extra networks
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- **Refiner**
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- you can load model from extra networks as base model or as refiner
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simply select button in top-right of models page
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- **General**
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- **General**
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- faster search, ability to show/hide/sort networks
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- refactored subfolder handling
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*note*: this will trigger model hash recaclulation on first model use
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- **Diffusers**:
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- **Diffusers**:
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- better pipeline **auto-detect** when loading from safetensors
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- **SDXL Inpaint**
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- Although any model can be used for inpainiting, there is a case to be made for
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dedicated inpainting models as they are tuned to inpaint and not generate
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dedicated inpainting models as they are tuned to inpaint and not generate
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- Model can be used as base model for **img2img** or refiner model for **txt2img**
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To download go to *Models -> Huggingface*:
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- `diffusers/stable-diffusion-xl-1.0-inpainting-0.1` *(6.7GB)*
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- **SDXL Instruct-Pix2Pix**
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To download go to *Models -> Huggingface*:
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- `diffusers/stable-diffusion-xl-1.0-inpainting-0.1` *(6.7GB)*
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- **SDXL Instruct-Pix2Pix**
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- Model can be used as base model for **img2img** or refiner model for **txt2img**
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This model is massive and requires a lot of resources!
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To download go to *Models -> Huggingface*:
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- `diffusers/sdxl-instructpix2pix-768` *(11.9GB)*
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- **SD Latent Upscale**
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To download go to *Models -> Huggingface*:
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- `diffusers/sdxl-instructpix2pix-768` *(11.9GB)*
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- **SD Latent Upscale**
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- You can use *SD Latent Upscale* models as **refiner models**
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This is a bit experimental, but it works quite well!
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To download go to *Models -> Huggingface*:
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To download go to *Models -> Huggingface*:
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- `stabilityai/sd-x2-latent-upscaler` *(2.2GB)*
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- `stabilityai/stable-diffusion-x4-upscaler` *(1.7GB)*
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- `stabilityai/stable-diffusion-x4-upscaler` *(1.7GB)*
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- better **Hires** support for SD and SDXL
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- better **TI embeddings** support for SD and SDXL
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faster loading, wider compatibility and support for embeddings with multiple vectors
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@@ -79,14 +79,14 @@ Upgrades are still possible and supported, but above is recommended for best exp
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- new setting: *settings -> diffusers -> force inpaint*
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as some models behave better when in *inpaint* mode even for normal *img2img* tasks
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- **Upscalers**:
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- pretty much a rewrite and tons of new upscalers - built-in list is now at **42**
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- pretty much a rewrite and tons of new upscalers - built-in list is now at **42**
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- fix long outstanding memory leak in legacy code, amazing this went undetected for so long
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- more high quality upscalers available by default
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**SwinIR** (2), **ESRGAN** (12), **RealESRGAN** (6), **SCUNet** (2)
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- two additional latent upscalers based on SD upscale models when using Diffusers backend
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**SD Upscale 2x**, **SD Upscale 4x***
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Note: Recommended usage for *SD Upscale* is by using second pass instead of upscaler
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as it allows for tuning of prompt, seed, sampler settings which are used to guide upscaler
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as it allows for tuning of prompt, seed, sampler settings which are used to guide upscaler
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- upscalers are available in **xyz grid**
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- simplified *settings->postprocessing->upscalers*
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e.g. all upsamplers share same settings for tiling
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@@ -100,7 +100,7 @@ Upgrades are still possible and supported, but above is recommended for best exp
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**HAT** (6), **RealHAT** (2), **DAT** (1), **RRDBNet** (1), **SPSRNet** (1), **SRFormer** (2), **SwiftSR** (2)
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and yes, you can download and add your own, just place them in `models/chaiNNer`
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note: extension will probably be added to default built-in list in the near-future
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- **Samplers**:
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- **Samplers**:
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- moved ui options to submenu
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- default list for new installs is now all samplers, list can be modified in settings
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- simplified samplers configuration in settings
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@@ -110,13 +110,13 @@ Upgrades are still possible and supported, but above is recommended for best exp
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items such as algorithm (e.g. karras) is actually a sampler option, not a sampler itself
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- **CivitAI**:
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- CivitAI integration in *Models -> CivitAI* can now find most
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previews AND metadata for most models (checkpoints, loras, embeddings)
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previews AND metadata for most models (checkpoints, loras, embeddings)
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metadata is now parsed and saved in *[model].json*
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typical hit rate is >95% for models, loras and embeddings
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- Description from parsed model metadata is used as model description if there is no manual
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description file present in format of *[model].txt*
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description file present in format of *[model].txt*
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- to enable search, make sure all models have set hash values
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*Models -> Valida -> Calculate hashes*
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*Models -> Valida -> Calculate hashes*
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- **Compute**
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- **Intel Arc/IPEX**:
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- tons of optimizations, built-in binary wheels for Windows
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@@ -126,23 +126,26 @@ Upgrades are still possible and supported, but above is recommended for best exp
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- updated installer to support detect `ROCm` *5.4/5.5/5.6/5.7*
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- **CUDA**:
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- testing moved to `torch` *2.2.0-dev/cu121*
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- **GC**:
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- **GC**:
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- custom garbage collect threshold to reduce vram memory usage, thanks @Disty0
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see *settings -> compute -> gc*
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- **General**
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see *settings -> compute -> gc*
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- **General**
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- **Startup**
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- All main CLI parameters can now be set as environment variable as well
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for example `--data-dir <path>` can be specified as `SD_DATADIR=<path>` before starting SD.Next
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- **Logging**
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- **Logging**
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- get browser session info in server log
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- allow custom log file destination
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see `webui --log`
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see `webui --log`
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- when running with `--debug` flag, log is force-rotated
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so each `sdnext.log.*` represents exactly one server run
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- internal server job state tracking
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- internal server job state tracking
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- **API**
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- add end-to-end example how to use API: `cli/simple-txt2img.js`
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covers txt2img, upscale, hires, refiner
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- **Launcher**
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- new `webui.ps1` powershell launcher for windows (old `webui.bat` is still valid)
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thanks @em411
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## Update for 2023-09-13
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@@ -90,7 +90,7 @@ Additional models will be added as they become available and there is public int
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### Run
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Once SD.Next is installed, simply run `webui.bat` (*Windows*) or `webui.sh` (*Linux or MacOS*)
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Once SD.Next is installed, simply run `webui.ps1` or `webui.bat` (*Windows*) or `webui.sh` (*Linux or MacOS*)
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Below is partial list of all available parameters, run `webui --help` for the full list:
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