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svjack/
FramePack_Image_Edit_Lora_Early

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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

Update and Install Dependencies

sudo apt-get update && sudo apt-get install cbm git-lfs ffmpeg
Clone the Repository

bash
1git clone https://huggingface.co/svjack/FramePack_Image_Edit_Lora_Early 2cd FramePack_Image_Edit_Lora_Early
Install Python Dependencies

bash
1pip 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==1.0.6
Download Model Weights

bash
1 git clone https://huggingface.co/lllyasviel/FramePackI2V_HY 2 git clone https://huggingface.co/hunyuanvideo-community/HunyuanVideo 3 git clone https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged 4 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. Make sure use 512x512 as output (this used to train 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

svjack/FramePack_Image_Edit_Lora_Early

FramePack Image Edit Early Lora

Prerequisites

Installation

Usage

svjack/
FramePack_Image_Edit_Lora_Early