Views
No views yet
sudo apt-get update && sudo apt-get install cbm git-lfs ffmpeg1git clone https://huggingface.co/svjack/Fate_Zero_Saber_wan_2_1_1_3_B_text2video_lora
2cd Fate_Zero_Saber_wan_2_1_1_3_B_text2video_lora1pip install torch torchvision
2pip install -r requirements.txt
3pip install ascii-magic matplotlib tensorboard huggingface_hub datasets
4pip install moviepy==1.0.3
5pip install sageattention==1.0.61wget https://huggingface.co/Wan-AI/Wan2.1-T2V-14B/resolve/main/models_t5_umt5-xxl-enc-bf16.pth
2wget https://huggingface.co/DeepBeepMeep/Wan2.1/resolve/main/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
3wget https://huggingface.co/Wan-AI/Wan2.1-T2V-14B/resolve/main/Wan2.1_VAE.pth
4wget https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_bf16.safetensors
5wget https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_bf16.safetensorswan_generate_video.py script with the appropriate parameters. Below are examples of how to generate videos using the Fate_Zero_Saber model.1python wan_generate_video.py --fp8 --task t2v-1.3B --video_size 480 832 --video_length 81 --infer_steps 50 \
2--save_path save --output_type both \
3--dit wan2.1_t2v_1.3B_bf16.safetensors --vae Wan2.1_VAE.pth \
4--t5 models_t5_umt5-xxl-enc-bf16.pth \
5--attn_mode torch \
6--lora_weight saber_outputs/saber_w1_3_lora-000011.safetensors \
7--lora_multiplier 1.0 \
8--prompt "In the style of Fate Zero , The character has blonde hair and green eyes, and is wearing a black outfit. eating a burger."1python wan_generate_video.py --fp8 --task t2v-1.3B --video_size 480 832 --video_length 81 --infer_steps 50 \
2--save_path save --output_type both \
3--dit wan2.1_t2v_1.3B_bf16.safetensors --vae Wan2.1_VAE.pth \
4--t5 models_t5_umt5-xxl-enc-bf16.pth \
5--attn_mode torch \
6--lora_weight saber_outputs/saber_w1_3_lora-000011.safetensors \
7--lora_multiplier 1.0 \
8--prompt "In the style of Fate Zero , The character is dressed in a blue and white outfit with intricate designs, She hands on a bouquet of roses, gently wave the flower"
91python wan_generate_video.py --fp8 --task t2v-1.3B --video_size 480 832 --video_length 81 --infer_steps 50 \
2--save_path save --output_type both \
3--dit wan2.1_t2v_1.3B_bf16.safetensors --vae Wan2.1_VAE.pth \
4--t5 models_t5_umt5-xxl-enc-bf16.pth \
5--attn_mode torch \
6--lora_weight saber_outputs/saber_w1_3_lora-000011.safetensors \
7--lora_multiplier 1.0 \
8--prompt "In the style of Fate Zero , a female with blonde hair tied back, dressed in a black suit and gloves. She stands against a backdrop of a starry night sky, with the stars appearing as small, bright white dots scattered across a deep blue gradient background."
9--fp8: Enable FP8 precision (optional).--task: Specify the task (e.g., t2v-1.3B).--video_size: Set the resolution of the generated video (e.g., 1024 1024).--video_length: Define the length of the video in frames.--infer_steps: Number of inference steps.--save_path: Directory to save the generated video.--output_type: Output type (e.g., both for video and frames).--dit: Path to the diffusion model weights.--vae: Path to the VAE model weights.--t5: Path to the T5 model weights.--attn_mode: Attention mode (e.g., torch).--lora_weight: Path to the LoRA weights.--lora_multiplier: Multiplier for LoRA weights.--prompt: Textual prompt for video generation.save_path directory.pip.