tiktoken

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It would be nice to add a __version__ attribute similar to other Python projects, so that we can easily query the version for reproducibility reasons. I.e.,

import tiktoken
print(tiktoken.__version__)

好像一直都有的：放大看，会有红色和蓝色的点

可以提供一个可复现的参数吗？我这边没有观察到类似现象

主要参数是这些： seed = 2024 sd_model_path = models_dict["RealVision"] #"SG161222/RealVisXL_V4.0" general_prompt = "a woman with a white dress" #"a man with a black suit" negative_prompt = "naked, deformed, bad anatomy, disfigured, poorly drawn face, mutation, extra limb, ugly, disgusting, poorly drawn hands, missing limb, floating limbs, disconnected limbs, blurry, watermarks, oversaturated, distorted hands, amputation" prompt_array = ["wake up in the bed", "have breakfast", "is on the road, go to the company", "work in the company", "running in the playground", "reading book in the home" ] style_name = "Photographic" 其他应该都是默认的

仍然无法复现，另外你的prompt格式应该是用的旧的code，可以再git pull尝试一下新的代码, python gradio_app_sdxl_specific_id_low_vram.py

仍然无法复现，另外你的prompt格式应该是用的旧的code，可以再git pull尝试一下新的代码, python gradio_app_sdxl_specific_id_low_vram.py

我用的是，Comic_Generation.ipynb。 这个文件不是最新的吗？我想本地调试

目前 最新的改动 都在 gradio_app_sdxl_specific_id_low_vram.py里面，明天我检查一下ipynb文件

目前 最新的改动 都在 gradio_app_sdxl_specific_id_low_vram.py里面，明天我检查一下ipynb文件

好的，希望ipynb也同时更新吧😁

@Amo5 这个是diffusers sdxl pipeline默认加的watermark

class NoWatermarker:
    def __init__(self):
        pass

    def apply_watermark(self, images: torch.FloatTensor):
        return images

pipe = AutoPipelineForText2Image.from_pretrained(..., add_watermarker=False)
pipe.watermark = NoWatermarker()

这样就没了