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-# FramePack Image Edit Early Lora
-
-This repository contains the necessary steps and scripts to generate A edit of the Image using a image-to-video model. 
-The model leverages LoRA (Low-Rank Adaptation) weights and pre-trained components to create Edit Image based on a input Image and textual prompts.
-
-## 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)
-• **FFmpeg**
-
-## Installation
-
-1. **Update and Install Dependencies**
-
-   ```bash
-   sudo apt-get update && sudo apt-get install cbm git-lfs ffmpeg
-   ```
-
-2. **Clone the Repository**
-
-   ```bash
-   git clone https://huggingface.co/svjack/FramePack_Image_Edit_Lora_Early
-   cd FramePack_Image_Edit_Lora_Early
-   ```
-
-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 moviepy==1.0.3
-   pip install sageattention==1.0.6
-   ```
-
-4. **Download Model Weights**
-
-   ```bash
-    git clone https://huggingface.co/lllyasviel/FramePackI2V_HY
-    git clone https://huggingface.co/hunyuanvideo-community/HunyuanVideo
-    git clone https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged
-    git clone https://huggingface.co/Comfy-Org/sigclip_vision_384
-   ```
-
-## Usage
-
-To Edit a Image, use the `fpack_generate_video.py` script with the appropriate parameters. Below are examples of how to do it.
-
-
-* 1 Add a cat
-- Input
-
-
-```python
-python fpack_generate_video.py \
-    --dit FramePackI2V_HY/diffusion_pytorch_model-00001-of-00003.safetensors \
-    --vae HunyuanVideo/vae/diffusion_pytorch_model.safetensors \
-    --text_encoder1 HunyuanVideo_repackaged/split_files/text_encoders/llava_llama3_fp16.safetensors \
-    --text_encoder2 HunyuanVideo_repackaged/split_files/text_encoders/clip_l.safetensors \
-    --image_encoder sigclip_vision_384/sigclip_vision_patch14_384.safetensors \
-    --image_path xiang_image.jpg \
-    --prompt "add a cat into the picture" \
-    --video_size 512  512 --fps 30 --infer_steps 25 \
-    --attn_mode sdpa --fp8_scaled \
-    --vae_chunk_size 32 --vae_spatial_tile_sample_min_size 128 \
-    --save_path save --video_sections 1 --output_type latent_images --one_frame_inference zero_post \
-    --seed 1234 --lora_multiplier 1.0 --lora_weight framepack_edit_output/framepack-edit-lora-000005.safetensors
-```
-
-- Output
-
-
-* 2 Change Background
-- Input
-
-
-```python
-python fpack_generate_video.py \
-    --dit FramePackI2V_HY/diffusion_pytorch_model-00001-of-00003.safetensors \
-    --vae HunyuanVideo/vae/diffusion_pytorch_model.safetensors \
-    --text_encoder1 HunyuanVideo_repackaged/split_files/text_encoders/llava_llama3_fp16.safetensors \
-    --text_encoder2 HunyuanVideo_repackaged/split_files/text_encoders/clip_l.safetensors \
-    --image_encoder sigclip_vision_384/sigclip_vision_patch14_384.safetensors \
-    --image_path wanye.jpg \
-    --prompt "Change the background into a restaurant in anime style. Keep the character's eye colors and white hair unchanged." \
-    --video_size 512  512 --fps 30 --infer_steps 25 \
-    --attn_mode sdpa --fp8_scaled \
-    --vae_chunk_size 32 --vae_spatial_tile_sample_min_size 128 \
-    --save_path save --video_sections 1 --output_type latent_images --one_frame_inference zero_post \
-    --seed 1234 --lora_multiplier 1.0 --lora_weight framepack_edit_output/framepack-edit-lora-000005.safetensors
-
-```
-
-- Output
-
-
-* 3 Place Train into landscape 
-- Input
-
-```python
-python fpack_generate_video.py \
-    --dit FramePackI2V_HY/diffusion_pytorch_model-00001-of-00003.safetensors \
-    --vae HunyuanVideo/vae/diffusion_pytorch_model.safetensors \
-    --text_encoder1 HunyuanVideo_repackaged/split_files/text_encoders/llava_llama3_fp16.safetensors \
-    --text_encoder2 HunyuanVideo_repackaged/split_files/text_encoders/clip_l.safetensors \
-    --image_encoder sigclip_vision_384/sigclip_vision_patch14_384.safetensors \
-    --image_path train.jpg \
-    --prompt "place the train into a beautiful landscape" \
-    --video_size 512  512 --fps 30 --infer_steps 25 \
-    --attn_mode sdpa --fp8_scaled \
-    --vae_chunk_size 32 --vae_spatial_tile_sample_min_size 128 \
-    --save_path save --video_sections 1 --output_type latent_images --one_frame_inference zero_post \
-    --seed 1234 --lora_multiplier 1.0 --lora_weight framepack_edit_output/framepack-edit-lora-000005.safetensors
-```
-
-- Output
-