# Genshin_Impact_KAEDEHARA_KAZUHA HunyuanVideo LoRA This repository contains the necessary setup and scripts to generate videos using the HunyuanVideo model with a LoRA (Low-Rank Adaptation) fine-tuned for KAEDEHARA_KAZUHA. Below are the instructions to install dependencies, download models, and run the demo. --- ## Installation ### Step 1: Install System Dependencies Run the following command to install required system packages: ```bash sudo apt-get update && sudo apt-get install git-lfs ffmpeg cbm ``` ### Step 2: Clone the Repository Clone the repository and navigate to the project directory: ```bash git clone https://huggingface.co/svjack/Genshin_Impact_KAEDEHARA_KAZUHA_HunyuanVideo_lora cd Genshin_Impact_KAEDEHARA_KAZUHA_HunyuanVideo_lora ``` ### Step 3: Install Python Dependencies Install the required Python packages: ```bash conda create -n py310 python=3.10 conda activate py310 pip install ipykernel python -m ipykernel install --user --name py310 --display-name "py310" pip install -r requirements.txt pip install ascii-magic matplotlib tensorboard huggingface_hub pip install moviepy==1.0.3 pip install sageattention==1.0.6 pip install torch==2.5.0 torchvision ``` --- ## Download Models ### Step 1: Download HunyuanVideo Model Download the HunyuanVideo model and place it in the `ckpts` directory: ```bash huggingface-cli download tencent/HunyuanVideo --local-dir ./ckpts ``` ### Step 2: Download LLaVA Model Download the LLaVA model and preprocess it: ```bash cd ckpts huggingface-cli download xtuner/llava-llama-3-8b-v1_1-transformers --local-dir ./llava-llama-3-8b-v1_1-transformers wget https://raw.githubusercontent.com/Tencent/HunyuanVideo/refs/heads/main/hyvideo/utils/preprocess_text_encoder_tokenizer_utils.py python preprocess_text_encoder_tokenizer_utils.py --input_dir llava-llama-3-8b-v1_1-transformers --output_dir text_encoder ``` ### Step 3: Download CLIP Model Download the CLIP model for the text encoder: ```bash huggingface-cli download openai/clip-vit-large-patch14 --local-dir ./text_encoder_2 ``` --- ## Demo ### Generate Video 1: KAEDEHARA_KAZUHA Run the following command to generate a video of KAEDEHARA_KAZUHA: ```bash python hv_generate_video.py \ --fp8 \ --video_size 544 960 \ --video_length 60 \ --infer_steps 30 \ --prompt "This is a digital anime-style illustration featuring KAEDEHARA KAZUHA, a character with long, flowing white hair with red streaks, and red eyes, leaning on a wooden table in a cozy, warmly-lit café. She wears a black and orange outfit with a red scarf. In the background, there are shelves with various items and soft lighting. On the table, there is a glass of orange juice. The atmosphere is calm and inviting." \ --save_path . \ --output_type both \ --dit ckpts/hunyuan-video-t2v-720p/transformers/mp_rank_00_model_states.pt \ --attn_mode sdpa \ --vae ckpts/hunyuan-video-t2v-720p/vae/pytorch_model.pt \ --vae_chunk_size 32 \ --vae_spatial_tile_sample_min_size 128 \ --text_encoder1 ckpts/text_encoder \ --text_encoder2 ckpts/text_encoder_2 \ --seed 1234 \ --lora_multiplier 1.0 \ --lora_weight KAEDEHARA_KAZUHA_im_lora_dir/KAEDEHARA_KAZUHA_single_im_lora-000008.safetensors ``` ### Generate Video 2: KAEDEHARA_KAZUHA Letter Run the following command to generate a video of KAEDEHARA_KAZUHA: ```bash python hv_generate_video.py \ --fp8 \ --video_size 544 960 \ --video_length 60 \ --infer_steps 30 \ --prompt "In this digital anime-style artwork, KAEDEHARA KAZUHA, a young man with silver hair and red eyes, is holding a white envelope with Japanese text. He wears a white T-shirt and a red wristband. The background shows a warmly lit room with wooden furniture, a vase of autumn leaves, and a window casting soft light. The atmosphere is cozy and inviting." \ --save_path . \ --output_type both \ --dit ckpts/hunyuan-video-t2v-720p/transformers/mp_rank_00_model_states.pt \ --attn_mode sdpa \ --vae ckpts/hunyuan-video-t2v-720p/vae/pytorch_model.pt \ --vae_chunk_size 32 \ --vae_spatial_tile_sample_min_size 128 \ --text_encoder1 ckpts/text_encoder \ --text_encoder2 ckpts/text_encoder_2 \ --seed 1234 \ --lora_multiplier 1.0 \ --lora_weight KAEDEHARA_KAZUHA_im_lora_dir/KAEDEHARA_KAZUHA_single_im_lora-000008.safetensors ``` --- ## Notes - Ensure you have sufficient GPU resources for video generation. - Adjust the `--video_size`, `--video_length`, and `--infer_steps` parameters as needed for different output qualities and lengths. - The `--prompt` parameter can be modified to generate videos with different scenes or actions. ---