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# Step1X-Anime-Edit-Lora
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This repository provides LoRA (Low-Rank Adaptation) support for the Step1X-Edit anime image editing model. It allows for fine-tuned control over image editing outputs.
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## Installation
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Refer to the main Step1X-Edit installation instructions at:
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https://github.com/stepfun-ai/Step1X-Edit
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```bash
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wget https://huggingface.co/stepfun-ai/Step1X-Edit/resolve/main/step1x-edit-i1258.safetensors
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wget https://huggingface.co/stepfun-ai/Step1X-Edit/resolve/main/vae.safetensors
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huggingface-cli download Qwen/Qwen2.5-VL-7B-Instruct --local-dir Qwen2.5-VL-7B-Instruct
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```
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## Usage Examples
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### Basic Setup
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```python
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from inference import *
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image_edit = ImageGenerator(
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ae_path="vae.safetensors",
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dit_path="step1x-edit-i1258.safetensors",
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qwen2vl_model_path='Qwen2.5-VL-7B-Instruct',
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max_length=640,
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quantized=True,
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offload=True,
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lora="change_output/step1x-edit_change-step00003000.safetensors",
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mode="flash"
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)
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```
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### Example 1: Changing Background and Adding Elements
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```python
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image_path = "万叶.png"
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prompt = '''
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将背景改成公园,添加一些小松鼠
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'''
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num_steps = 28
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cfg_guidance = 4.5
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seed = 42
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size_level = 512 # Can also be 768 or 1024
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image = image_edit.generate_image(
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prompt,
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negative_prompt="",
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ref_images=Image.open(image_path).convert("RGB"),
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num_samples=1,
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num_steps=num_steps,
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cfg_guidance=cfg_guidance,
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seed=seed,
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show_progress=True,
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size_level=size_level,
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)[0]
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image.save("万叶在公园.png")
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```
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-original output
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-lora output
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### Example 2: Advanced Scene Modification
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```python
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image_path = "万叶.png"
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prompt = '''
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将背景改成公园,添加一些小松鼠,天气为黄昏,调整为橙色光照,让男孩微笑
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'''
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# Same parameters as above
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image = image_edit.generate_image(...)
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image.save("万叶在黄昏.png")
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```
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-original output
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-lora output
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### Example 3: Character Modification
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```python
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image_path = "丝柯克.jpg"
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prompt = '''
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将图片背景变成海边,手里拿着一个冰淇凌
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'''
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num_steps = 28
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cfg_guidance = 6 # Higher guidance for more complex changes
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seed = 42
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size_level = 512
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image = image_edit.generate_image(...)
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image.save("丝柯克在海边.jpg")
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```
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-original output
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-lora output
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### Example 4: Object Replacement and Style Change
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```python
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image_path = "星铁海报.jpg"
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prompt = '''
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将桌子上的鞋替换成一个汉堡,背景换成星光咖啡厅,帽子换成小熊帽
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'''
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num_steps = 28
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cfg_guidance = 4.5
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seed = 42
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size_level = 512
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image = image_edit.generate_image(...)
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image.save("星铁小猫在咖啡厅.png")
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```
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-original output
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-lora output
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## Parameters
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- `num_steps`: Number of diffusion steps (typically 28)
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- `cfg_guidance`: Guidance scale (4.5-6 recommended)
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- `seed`: Random seed for reproducibility
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- `size_level`: Output resolution (512)
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## Output Comparison
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Each example shows the original output vs. LoRA-enhanced output for comparison.
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