OmniGen2

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Quick Summary

News | Quick Start | Usage Tips | Limitations | Online Demos | Citation 🔥 News - 2025-06-30: Training code is available, see fine-tuning for details.

Code Examples

OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
OmniGen2 runs even without flash-attn, though we recommend install it for best performance.bash
# Install PyTorch from a domestic mirror
pip install torch==2.6.0 torchvision --index-url https://mirror.sjtu.edu.cn/pytorch-wheels/cu124

# Install other dependencies from Tsinghua mirror
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

# Note: Version 2.7.4.post1 is specified for compatibility with CUDA 12.4.
# Feel free to use a newer version if you use CUDA 12.6 or they fixed this compatibility issue.
# OmniGen2 runs even without flash-attn, though we recommend install it for best performance.
pip install flash-attn==2.7.4.post1 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
🧪 Run Examplesbash
# Visual Understanding
bash example_understanding.sh

# Text-to-image generation
bash example_t2i.sh

# Instruction-guided image editing
bash example_edit.sh

# In-context generation
bash example_in_context_generation.sh
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py
for only generating imagebash
# for only generating image
    pip install gradio
    python app.py
    # Optional: Share demo with public link (You need to be able to access huggingface)
    python app.py --share

    # for generating image or text
    pip install gradio
    python app_chat.py

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