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-# 3D Chibi Text-to-Image (14B) Generation
-
-This repository contains the necessary steps and scripts to generate **3D chibi-style images** using the **Wan2.1-T2I-14B** text-to-image model with LoRA (Low-Rank Adaptation) weights. The model produces high-quality 3D chibi-style illustrations based on textual prompts, emphasizing vibrant aesthetics, character expressions, and dynamic scenes.
-
-> 🚀 This version is optimized for **text-to-image (t2i)** generation to allow faster testing while maintaining compatibility with future **text-to-video (t2v)** workflows.
-
----
-
-## Prerequisites
-
-Before proceeding, ensure that you have the following installed on your system:
-
-- **Ubuntu** (or a compatible Linux distribution)
-- **Python 3.x**
-- **pip** (Python package manager)
-- **Git**
-- **Git LFS** (Git Large File Storage)
-
----
-
-## Installation
-
-1. **Update and Install Dependencies**
-
-   ```bash
-   sudo apt-get update && sudo apt-get install build-essential git-lfs
-   ```
-
-2. **Clone the Repository**
-
-   > ⚠️ Note: You can use any existing Wan2.1-compatible repo structure or clone directly from Hugging Face.
-
-   ```bash
-   git clone https://huggingface.co/svjack/3D_Chibi_wan_2_1_14_B_text2video_lora
-   cd 3D_Chibi_wan_2_1_14_B_text2video_lora
-   ```
-
-3. **Install Python Dependencies**
-
-   ```bash
-   pip install torch torchvision
-   pip install -r requirements.txt
-   pip install ascii-magic matplotlib tensorboard huggingface_hub datasets
-   pip install sageattention==1.0.6
-   ```
-
-4. **Download Model Weights**
-
-   > 📌 **Note**: You can view previous results in the respective repositories:
-   - [Xiang_Handsome LoRA](https://huggingface.co/svjack/Xiang_Handsome_wan_2_1_14_B_text2video_lora)
-   - [Taiga_Aisaka LoRA](https://huggingface.co/svjack/Taiga_Aisaka_wan_2_1_14_B_text2video_lora)
-   - [Sebastian_Michaelis LoRA](https://huggingface.co/svjack/Sebastian_Michaelis_wan_2_1_14_B_text2video_lora)
-   - [3D_Chibi LoRA 14B](https://huggingface.co/svjack/3D_Chibi_wan_2_1_14_B_text2video_lora)
-
-   ```bash
-   # Base Models
-   wget https://huggingface.co/Wan-AI/Wan2.1-T2V-14B/resolve/main/wan2.1_t2v_14B_bf16.safetensors
-   wget https://huggingface.co/Wan-AI/Wan2.1-T2V-14B/resolve/main/Wan2.1_VAE.pth
-   wget https://huggingface.co/Wan-AI/Wan2.1-T2V-14B/resolve/main/models_t5_umt5-xxl-enc-bf16.pth
-
-   # LoRA Weights
-   wget https://huggingface.co/svjack/Xiang_Handsome_wan_2_1_14_B_text2video_lora/resolve/main/Xiang_Handsome_outputs/Xiang_Handsome_w14_lora-000067.safetensors
-   wget https://huggingface.co/svjack/Taiga_Aisaka_wan_2_1_14_B_text2video_lora/resolve/main/Taiga_Aisaka_w14_outputs/Taiga_Aisaka_w14_lora-000010.safetensors
-   wget https://huggingface.co/svjack/Sebastian_Michaelis_wan_2_1_14_B_text2video_lora/resolve/main/Sebastian_Michaelis_w14_outputs/Sebastian_Michaelis_w14_lora-000007.safetensors
-   wget https://huggingface.co/svjack/3D_Chibi_wan_2_1_14_B_text2video_lora/resolve/main/3D_Chibi_w14_outputs/3D_Chibi_w14_lora-000024.safetensors
-   ```
-
----
-
-## Usage
-
-To generate an image, use the `wan_generate_video.py` script with the `--task t2i-14B` parameter.
-
-### Example 1: Xiang InfiniteYou Handsome Style
-
-```bash
-python wan_generate_video.py --fp8 --task t2i-14B --video_size 480 832 --infer_steps 20 \
---save_path save --output_type both \
---dit wan2.1_t2v_14B_bf16.safetensors --vae Wan2.1_VAE.pth \
---t5 models_t5_umt5-xxl-enc-bf16.pth \
---attn_mode torch \
---lora_weight Xiang_Handsome_outputs/Xiang_Handsome_w14_lora-000067.safetensors 3D_Chibi_w14_lora-000024.safetensors \
---lora_multiplier 1.0 \
---interactive
-```
-
-#### Prompt
-
-```text
-"3D Chibi Style ,In the style of Xiang InfiniteYou Handsome, Xiang, a young person with short, black hair and glasses, stands in a quiet office space. The soft glow of a desk lamp casts a warm light across his thoughtful expression, while the hum of distant keyboards and the faint scent of coffee linger in the air. Outside the window, the city lights twinkle like distant stars, blending with the muted glow of computer screens as the workday stretches on around him."
-```
-
--- without 3D_Chibi lora text2video output
-
--- with 3D_Chibi lora text2image output
-
----
-
-### Example 2: Taiga Aisaka Style
-
-```bash
-python wan_generate_video.py --fp8 --task t2i-14B --video_size 480 832 --infer_steps 20 \
---save_path save --output_type both \
---dit wan2.1_t2v_14B_bf16.safetensors --vae Wan2.1_VAE.pth \
---t5 models_t5_umt5-xxl-enc-bf16.pth \
---attn_mode torch \
---lora_weight Taiga_Aisaka_outputs/Taiga_Aisaka_w14_lora-000010.safetensors 3D_Chibi_w14_lora-000024.safetensors \
---lora_multiplier 1.0 \
---interactive
-```
-
-#### Prompt
-
-```text
-"3D Chibi Style, 一个身穿红色高中校服的金发女孩，正在吃汉堡。"
-```
-
--- without 3D_Chibi lora text2video output
-
--- with 3D_Chibi lora text2image output
-
----
-
-### Example 3: Sebastian Michaelis (Black Butler) Style
-
-```bash
-python wan_generate_video.py --fp8 --task t2i-14B --video_size 480 832 --infer_steps 20 \
---save_path save --output_type both \
---dit wan2.1_t2v_14B_bf16.safetensors --vae Wan2.1_VAE.pth \
---t5 models_t5_umt5-xxl-enc-bf16.pth \
---attn_mode torch \
---lora_weight Sebastian_Michaelis_outputs/Sebastian_Michaelis_w14_lora-000007.safetensors 3D_Chibi_w14_lora-000024.safetensors \
---lora_multiplier 1.0 \
---interactive
-```
-
-#### Prompt
-
-```text
-"3D Chibi Style, In the style of Black Butler , The video opens with a close-up of a character dressed in a black suit, white shirt, and black tie. stands in a quiet office space. The soft glow of a desk lamp casts a warm light across his thoughtful expression, while the hum of distant keyboards and the faint scent of coffee linger in the air. Outside the window, the city lights twinkle like distant stars, blending with the muted glow of computer screens as the workday stretches on around him."
-```
-
--- without 3D_Chibi lora text2video output
-
--- with 3D_Chibi lora text2image output
-
----
-
-## Key Parameters
-
-| Parameter | Description |
-|----------|-------------|
-| `--fp8` | Enable FP8 precision for improved performance |
-| `--task` | Set to `t2i-14B` for image generation |
-| `--video_size` | Output resolution (e.g., `480 832`) |
-| `--infer_steps` | Speed vs quality trade-off (`20` recommended for quick test) |
-| `--lora_weight` | Path to LoRA weight files (can specify multiple) |
-| `--lora_multiplier` | Strength of LoRA effect (default: 1.0) |
-| `--prompt` | Include `"3D Chibi Style"` for best results |
-
----
-
-## Style Characteristics
-
-For optimal results, prompts should emphasize:
-- **Chibi-style characters** with exaggerated heads and facial expressions
-- **Vibrant colors** and dynamic lighting effects
-- **Fantasy or magical settings** (e.g., gardens, castles, floating islands)
-- **Neon or glowing elements**, especially in futuristic or energetic scenes
-
----
-
-## Output
-
-Generated images will be saved in the specified `--save_path` directory with:
-- PNG image file
-- (Optional) MP4 video (if `--output_type both` is used)
-
----
-
-## Troubleshooting
-
-- Ensure all model weights are correctly downloaded and placed in the right directories.
-- Check GPU memory availability; at least **20GB VRAM** is recommended for 14B models.
-- Verify no conflicts exist between Python packages using `pip check`.
-
----
-
-## License
-
-This project is licensed under the MIT License.
-
----
-
-## Acknowledgments
-
-- **Hugging Face** – For hosting the model and dataset repositories
-- **Wan-AI** – For providing base diffusion models
-- **svjack** – For adapting and sharing LoRA weights for various styles
-
-For support or feedback, please open an issue in this repository.