up

run.py

@@ -4,8 +4,12 @@ from PIL import Image
 from io import BytesIO
 
 from diffusers import DiffusionPipeline
+from transformers import CLIPTextModel, CLIPTokenizer, CLIPImageProcessor
 
-pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-unclip-small", torch_dtype=torch.float16, variant="fp16")
+#text_encoder = CLIPTextModel.from_pretrained("openai/clip-vit-large-patch14")
+#tokenizer = CLIPTokenizer.from_pretrained("openai/clip-vit-large-patch14")
+#feature_extractor = CLIPImageProcessor.from_pretrained("openai/clip-vit-large-patch14")
+pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-unclip-small", torch_dtype=torch.float16)
 pipe.to("cuda")
 
 # get image