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README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 ---
 # Templates - Brightness Adjustment (FLUX.2-klein-base-4B)
 
-This model is part of the open-source Diffusion Templates series from [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio). It is a brightness adjustment model capable of customizing and modifying the brightness of images.
+This model is part of the open-source Diffusion Templates series by [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio). It is a brightness adjustment model capable of customizing and modifying the brightness of images.
 
 ## Results
 
@@ -39,13 +39,12 @@ cd DiffSynth-Studio
 pip install -e .
 ```
 
-* Direct inference, requires 40G GPU memory
+* Direct inference (requires 40GB GPU memory)
 
 ```python
 from diffsynth.diffusion.template import TemplatePipeline
 from diffsynth.pipelines.flux2_image import Flux2ImagePipeline, ModelConfig
 import torch
-```
 
 pipe = Flux2ImagePipeline.from_pretrained(
     torch_dtype=torch.bfloat16,
@@ -94,7 +93,6 @@ image.save("image_Brightness_dark.jpg")
 from diffsynth.diffusion.template import TemplatePipeline
 from diffsynth.pipelines.flux2_image import Flux2ImagePipeline, ModelConfig
 import torch
-```
 
 ```python
 vram_config = {

README_from_modelscope.md

@@ -1,4 +1,6 @@
 ---
+base_model:
+- ""
 frameworks:
 - Pytorch
 license: Apache License 2.0
@@ -177,3 +179,5 @@ accelerate launch examples/flux2/model_training/train.py \
   --use_gradient_checkpointing \
   --find_unused_parameters
 ```
+
+