Update workflow
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@@ -8,7 +8,7 @@ git clone https://github.com/Zuellni/ComfyUI-ExLlama-Nodes
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python -m pip install -r requirements.txt
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```
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If you see any ExLlama-related errors while loading, manually install the wheel matching your system from [here](https://github.com/jllllll/exllama/releases/latest).
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If you see any ExLlama-related errors while loading, manually install the wheel matching your system from [here](https://github.com/jllllll/exllama/releases/latest).<br>
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For example, on Windows with Python 3.10 and PyTorch CUDA 11.7:
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```
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python -m pip install https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu117-cp310-cp310-win_amd64.whl
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@@ -17,12 +17,12 @@ python -m pip install https://github.com/jllllll/exllama/releases/download/0.0.1
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## Nodes
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Name | Description
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:--- | :---
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Loader | Used to load 4-bit GPTQ Llama/2 models. You can find a lot of them on [Hugging Face](https://huggingface.co/TheBloke).<br>Clone the model repository or download all the files in it and place them in an empty directory, then specify the path in `model_dir`. The `model.safetensors` file won't work on its own.<br><br>ExLlama allocates memory based on `max_seq_len`. Lowering it is a good way to save on VRAM. It's currently not possible to [offload](https://github.com/turboderp/exllama/issues/177) the model to RAM.
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LoRA Loader | Used to load LoRAs. Specify the directory in `lora_dir`, it should contain `adapter_model.bin` and `adapter_config.json`. LoRA parameter count has to match the model.
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Generator | Generates a `string` based on the given `prompt` for use with other nodes. Default values correspond to the `simple-1` preset from [text-generation-webui](https://github.com/oobabooga/text-generation-webui). ExLlama isn't [deterministic](https://github.com/turboderp/exllama/issues/201), so the outputs may differ even with the same seed.
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Loader | Used to load 4-bit GPTQ Llama/2 models. You can find a lot of them on [Hugging Face](https://huggingface.co/TheBloke).<br>Clone the model repository or download all the files in it and place them in an empty directory, then specify the path in `model_dir`. The `model.safetensors` file won't work on its own.<br><br>ExLlama allocates memory based on `max_seq_len`. Lowering it is a good way to save on VRAM.<br>It's currently not possible to [offload](https://github.com/turboderp/exllama/issues/177) the model to RAM.
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LoRA Loader | Used to load LoRAs. The directory should contain `adapter_model.bin` and `adapter_config.json`.<br>LoRA parameter count has to match the model.
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Generator | Generates a `string` based on the given `prompt` for use with other nodes.<br>Default values correspond to the `simple-1` preset from [text-generation-webui](https://github.com/oobabooga/text-generation-webui).<br><br>ExLlama isn't [deterministic](https://github.com/turboderp/exllama/issues/201), so the outputs may differ even with the same seed.
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Previewer | Displays generated outputs in the UI.
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## Workflow
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The workflow below can be opened in ComfyUI. Peak VRAM usage with SDXL around 10GB. Model: [MythoLogic-Mini-7B](https://huggingface.co/TheBloke/MythoLogic-Mini-7B-GPTQ).
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