update readme

README.md

@@ -41,11 +41,11 @@ Alternatively, enter OmniGen Wrapper in the node search bar to find the node.
 ### Node Options
 ![image](image/omnigen_wrapper_node.jpg)
 
-* image_1: Optional input image_1. If input, this image must be described in the prompt and referred to as ```{imgae_1}```.
-* image_2: Optional input image_2. If input, this image must be described in the prompt and referred to as ```{imgae_2}```.
-* image_3: Optional input image_3. If input, this image must be described in the prompt and referred to as ```{imgae_3}```.
+* image_1: Optional input image_1. If input, this image must be described in the prompt and referred to as ```{image_1}```.
+* image_2: Optional input image_2. If input, this image must be described in the prompt and referred to as ```{image_2}```.
+* image_3: Optional input image_3. If input, this image must be described in the prompt and referred to as ```{image_3}```.
 * dtype: Model accuracy, default is the default model accuracy, optional int8. The default precision occupies approximately 12GB of video memory, while int8 occupies approximately 7GB of video memory.
-* prompt: The prompt or prompts to guide the image generation. If have image input, use the placeholder ```{imgae_1}```, ```{imgae_2}```, ```{imgae_3}``` to refer to it.
+* prompt: The prompt or prompts to guide the image generation. If have image input, use the placeholder ```{image_1}```, ```{image_2}```, ```{image_3}``` to refer to it.
 * width: The height in pixels of the generated image. The number must be a multiple of 16.
 * height: The width in pixels of the generated image. The number must be a multiple of 16.
 * guidance_scale: A higher value will make the generated results of the model more biased towards the condition, but may sacrifice the diversity and degrees of freedom of the image.

README_CN.md

@@ -36,11 +36,11 @@ python -s -m pip install -r ComfyUI/custom_nodes/ComfyUI_OmniGen_Wrapper/require
 ### 节点参数说明
 ![image](image/omnigen_wrapper_node.jpg)
 
-* image_1: 可选输入图片1。如果输入，须在prompt中描述此图，用```{imgae_1}```指代。
-* image_2: 可选输入图片2。如果输入，须在prompt中描述此图，用```{imgae_2}```指代。
-* image_3: 可选输入图片3。如果输入，须在prompt中描述此图，用```{imgae_3}```指代。
+* image_1: 可选输入图片1。如果输入，须在prompt中描述此图，用```{image_1}```指代。
+* image_2: 可选输入图片2。如果输入，须在prompt中描述此图，用```{image_2}```指代。
+* image_3: 可选输入图片3。如果输入，须在prompt中描述此图，用```{image_3}```指代。
 * dtype: 模型精度，default为模型默认精度, 可选int8。默认精度大约占用12GB显存，int8大约占用7GB显存。
-* prompt: 生成图片的提示词。如果有图片输入，请用```{imgae_1}```、```{imgae_2}```、```{imgae_3}```指代。
+* prompt: 生成图片的提示词。如果有图片输入，请用```{image_1}```、```{image_2}```、```{image_3}```指代。
 * width: 生成图片的宽度，必须为16的倍数。
 * height: 生成图片的高度，必须为16的倍数。
 * guidance_scale: 引导比例。较高的值会使模型的生成结果更倾向于条件，但可能损失图像的多样性和自由度。

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "ComfyUI_OmniGen_Wrapper"
 description = "ComfyUI custom node of OmniGen project."
-version = "1.0.2"
+version = "1.0.3"
 license = "MIT"
 dependencies = ["transformers", "diffusers", "numpy", "datasets", accelerate", "timm", "peft", "safetensors", "huggingface_hub"]