Update app.py

app.py

@@ -4,7 +4,6 @@ import numpy as np
 import spaces
 import torch
 from diffusers import AutoPipelineForText2Image, AutoencoderKL #,EulerDiscreteScheduler
-from transformers import CLIPTokenizer, CLIPTextModel
 
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>你现在运行在CPU上 但是只支持GPU.</p>"
@@ -22,13 +21,6 @@ if torch.cuda.is_available():
         add_watermarker=False
     )
     #pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
-    # 加载支持更长序列的 Tokenizer 和文本编码器
-    tokenizer = CLIPTokenizer.from_pretrained("John6666/noobai-xl-nai-xl-epsilonpred075version-sdxl", model_max_length=512)
-    text_encoder = CLIPTextModel.from_pretrained("John6666/noobai-xl-nai-xl-epsilonpred075version-sdxl", trust_remote_code=True)
-    
-    # 更新 pipeline
-    pipe.tokenizer = tokenizer
-    pipe.text_encoder = text_encoder
     pipe.to("cuda")
 
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int: