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README.md
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README.md
@ -15,9 +15,9 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
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* Dropdown menu for quickly switching between different models.
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* Large number of extensions (built-in and user-contributed), including Coqui TTS for realistic voice outputs, Whisper STT for voice inputs, translation, [multimodal pipelines](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal), vector databases, Stable Diffusion integration, and a lot more. See [the wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [the extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
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* [Chat with custom characters](https://github.com/oobabooga/text-generation-webui/wiki/03-%E2%80%90-Parameters-Tab#character).
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* Precise templates for instruction-following models, including Llama-2-chat, Alpaca, Vicuna, Mistral, and many others.
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* Easy UI for training LoRAs, as well as loading/unloading them on the fly.
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* HF transformers integration: load models in 4-bit or 8-bit quantization through bitsandbytes, use llama.cpp with transformers samplers (`llamacpp_HF` loader), CPU inference in 32-bit precision using PyTorch.
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* Precise chat templates for instruction-following models, including Llama-2-chat, Alpaca, Vicuna, Mistral, and many others.
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* LoRA: train new LoRAs with your own data, load/unload LoRAs on the fly for generation.
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* Transformers library integration: load models in 4-bit or 8-bit precision through bitsandbytes, use llama.cpp with transformers samplers (`llamacpp_HF` loader), CPU inference in 32-bit precision using PyTorch.
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* OpenAI-compatible API server with Chat and Completions endpoints -- see the [examples](https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API#examples).
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## How to install
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@ -28,7 +28,7 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
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4) Once the installation ends, browse to `http://localhost:7860/?__theme=dark`.
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5) Have fun!
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To restart the web UI later, just run the `start_` script once again. This script will set up the project's requirements in the `installer_files` folder. In case you need to reinstall the requirements, you can easily do so by deleting that folder and then running the `start_` script again.
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To restart the web UI in the future, just run the `start_` script again. This script creates a `installer_files` folder where it sets up the project's requirements. In case you need to reinstall the requirements, you can easily do so by deleting that folder and then running the `start_` script again.
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You also have the option of using command-line flags with the script. As an alternative, you can edit the `CMD_FLAGS.txt` file with a text editor and include your flags there.
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@ -41,19 +41,12 @@ Setup details and information about installing manually
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### One-click-installer
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#### How it works
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The script creates a folder called `installer_files` where it sets up a Conda environment using Miniconda.
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#### Running commands
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The script uses Miniconda to set up a Conda environment in the `installer_files` folder.
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If you ever need to install something manually in the `installer_files` environment, you can launch an interactive shell using the cmd script: `cmd_linux.sh`, `cmd_windows.bat`, `cmd_macos.sh`, or `cmd_wsl.bat`.
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#### Other info
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* There is no need to run any of those scripts as admin/root.
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* For additional instructions about AMD setup and WSL setup, consult [the documentation](https://github.com/oobabooga/text-generation-webui/wiki).
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* The installer has been tested mostly on NVIDIA GPUs. If you can find a way to improve it for your AMD/Intel Arc/Mac Metal GPU, you are highly encouraged to submit a PR to this repository. The main file to be edited is `one_click.py`.
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* For automated installation, you can use the `GPU_CHOICE`, `USE_CUDA118`, `LAUNCH_AFTER_INSTALL`, and `INSTALL_EXTENSIONS` environment variables. For instance: `GPU_CHOICE=A USE_CUDA118=FALSE LAUNCH_AFTER_INSTALL=FALSE INSTALL_EXTENSIONS=FALSE ./start_linux.sh`.
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### Manual installation using Conda
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@ -126,9 +119,11 @@ Requirements file to use:
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### Start the web UI
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conda activate textgen
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cd text-generation-webui
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python server.py
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```
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conda activate textgen
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cd text-generation-webui
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python server.py
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```
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Then browse to
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@ -200,7 +195,6 @@ pip install -r <requirements file that you have used> --upgrade
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List of command-line flags
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</summary>
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#### Basic settings
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| Flag | Description |
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@ -405,7 +399,7 @@ text-generation-webui
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│ │ └── tokenizer.model
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```
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In both cases, you can use the "Model" tab of the UI to download the model from Hugging Face automatically. It is also possible to download via the command-line with
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In both cases, you can use the "Model" tab of the UI to download the model from Hugging Face automatically. It is also possible to download it via the command-line with
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```
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python download-model.py organization/model
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@ -428,6 +422,6 @@ If you would like to contribute to the project, check out the [Contributing guid
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## Acknowledgment & support
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In August 2023, [Andreessen Horowitz](https://a16z.com/) (a16z) provided a generous grant to encourage and support my independent work on this project. I am **extremely** grateful for their trust and recognition.
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In August 2023, [Andreessen Horowitz](https://a16z.com/) (a16z) provided a generous grant to encourage and support my independent work on this project ([link](https://a16z.com/supporting-the-open-source-ai-community/)). I am **extremely** grateful for their trust and recognition.
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If you find this project useful, I have a [Ko-fi page](https://ko-fi.com/oobabooga) where you can make a donation. Your support helps me continue maintaining and improving this project.
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