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resources/Training_Instructions.md

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+# Preparations
+
+## Cloning the Repository
+The repository contains submodules, thus please check it out with 
+```shell
+# SSH
+git clone git@github.com:EnVision-Research/LucidDreamer.git --recursive
+```
+or
+```shell
+# HTTPS
+git clone https://github.com/EnVision-Research/LucidDreamer.git --recursive
+```
+## Setup
+Our default, provided install method is based on Conda package.
+Firstly, you need to create an virtual environment and install the submodoules we provide. (slightly difference from original [3DGS](https://github.com/graphdeco-inria/gaussian-splatting))
+```shell
+conda env create --file environment.yml
+conda activate LucidDreamer
+pip install submodules/diff-gaussian-rasterization/
+pip install submodules/simple-knn/
+```
+Then, you need to install [Point-E](https://github.com/openai/point-e) follow the instruction under this repo:
+```shell
+https://github.com/openai/point-e
+```
+
+# Running
+We will provide a detailed guideline of our implementation about the description of each hyperparameter and how to tune them later. Now, we release 9 config files for you to evaluate the effectiveness of our framework (all configs can be trained in a single RTX3090).
+
+Firstly, you may need to change ```model_key:``` in the ```configs\<config_file>.yaml``` to link the local Pretrained Diffusion Models ( [Stable Diffusion 2.1-base](https://github.com/Stability-AI/StableDiffusion) in default)
+
+
+Then, you can simply use:
+
+```shell
+python train.py --opt <path to config file>
+```
+or you can see an exmaple and use the script we provide after you identify the visualable GPU:
+```shell
+bash train.sh
+```
+We provide config files in ```configs\``` that serve for different tasks:
+
+Text-to-3D generation:
+```shell
+axe.yaml
+bagel.yaml
+cat_armor.yaml
+crown.yaml
+football_helmet.yaml
+hamburger.yaml
+white_hair_ironman.yaml
+zombie_joker.yaml
+```
+
+Personalized Text-to-3D:
+```shell
+ts_lora.yaml
+```
+You can also use your own LoRA thourgh modify the: ```LoRA_path:```