Public/automatic
1
0
Fork 0
mirror of https://github.com/vladmandic/automatic synced 2026-09-18 08:44:33 +02:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
QuantumSoul
2023-11-18 14:31:55 +01:00
committed by GitHub
parent ed31a16708
commit 1a64b32ef9
1 changed files with 20 additions and 23 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+20 -23
View File
@@ -17,15 +17,14 @@
## Notable features
All individual features are not listed here, instead check [ChangeLog](CHANGELOG.md) for full list of changes.
- Broad support
- Multiple backends!
**Original | Diffusers**
- Multiple diffusion models!
**Stable Diffusion | SD-XL | LCM | Segmind | Kandinsky | Pixart-α | Würstchen | DeepFloyd IF | UniDiffusion | SD-Distilled | etc.**
- Multiplatform with platform specific autodetection and tuning performed on install
**Windows | Linux | MacOS with CPU | nVidia | AMD | IntelArc | DirectML | OpenVINO | ONNX+Olive**
- Optimized processing with latest **torch** developments
Including built-in support for `torch.compile`
- Multiple backends!
▹ *Original | Diffusers*
- Multiple diffusion models!
▹ *Stable Diffusion | SD-XL | LCM | Segmind | Kandinsky | Pixart-α | Würstchen | DeepFloyd IF | UniDiffusion | SD-Distilled | etc.*
- Multiplatform!
▹ *Windows | Linux | MacOS with CPU | nVidia | AMD | IntelArc | DirectML | OpenVINO | ONNX+Olive*
- Platform specific autodetection and tuning performed on install
- Optimized processing with latest `torch` developments with built-in support for `torch.compile`
- Improved prompt parser
- Enhanced *Lora*/*Locon*/*Lyco* code supporting latest trends in training
- Built-in queue management
@@ -65,11 +64,11 @@ Additional models will be added as they become available and there is public int
- [DeepFloyd IF](https://github.com/deep-floyd/IF) Medium and Large
- [Segmind SD Distilled](https://huggingface.co/blog/sd_distillation) *(all variants)*
*Notes*:
- Loading any model other than standard SD 1.x / SD 2.x requires use of backend **Diffusers**
Loading any other models using **Original** backend is not supproted
- Loading manually download model `.safetensors` files is supported for SD 1.x / SD 2.x / SD-XL models only
For all other model types, use backend **Diffusers** and use built in Model downloader or
> [!IMPORTANT]
> - Loading any model other than standard SD 1.x / SD 2.x requires use of backend **Diffusers**
> - Loading any other models using **Original** backend is not supproted
> - Loading manually download model `.safetensors` files is supported for SD 1.x / SD 2.x / SD-XL models only
> - For all other model types, use backend **Diffusers** and use built in Model downloader or
select model from Networks -> Models -> Reference list in which case it will be auto-downloaded and loaded
## Platform support
@@ -85,20 +84,18 @@ Additional models will be added as they become available and there is public int
- *ONNX/Olive* (experimental)
## Install & Run
## Install
- [Step-by-step install guide](https://github.com/vladmandic/automatic/wiki/Installation)
- [Advanced install notes](https://github.com/vladmandic/automatic/wiki/Advanced-Install)
### Installation Notes
- [Common installation errors](https://github.com/vladmandic/automatic/discussions/1627)
- [FAQ](https://github.com/vladmandic/automatic/discussions/1011)
- Server can run without virtual environment,
but it is recommended to use it to avoid library version conflicts with other applications
- **nVidia/CUDA** / **AMD/ROCm** / **Intel/OneAPI** are auto-detected if present and available,
> [!TIP]
> - Server can run without virtual environment,but it is recommended to use it to avoid library version conflicts with other applications
> - **nVidia/CUDA** / **AMD/ROCm** / **Intel/OneAPI** are auto-detected if present and available,
For any other use case such as **DirectML**, **ONNX/Olive**, **OpenVINO** specify required parameter explicitly
or wrong packages may be installed as installer will assume CPU-only environment
- Full startup sequence is logged in `sdnext.log`, so if you encounter any issues, please check it first
> - Full startup sequence is logged in `sdnext.log`, so if you encounter any issues, please check it first
### Run
@@ -171,7 +168,7 @@ but although it diverged considerably, any substantial features to original work
The idea behind the fork is to enable latest technologies and advances in text-to-image generation.
> *Sometimes this is not the same as "as simple as possible to use".*
*Sometimes this is not the same as "as simple as possible to use".*
General goals: