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-rw-r--r--infer.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/infer.py b/infer.py
index 5bd4abc..63b16d8 100644
--- a/infer.py
+++ b/infer.py
@@ -205,10 +205,10 @@ def load_embeddings(tokenizer, text_encoder, embeddings_dir):
205def create_pipeline(model, scheduler, embeddings_dir, dtype): 205def create_pipeline(model, scheduler, embeddings_dir, dtype):
206 print("Loading Stable Diffusion pipeline...") 206 print("Loading Stable Diffusion pipeline...")
207 207
208 tokenizer = CLIPTokenizer.from_pretrained(model, subfolder='/tokenizer', torch_dtype=dtype) 208 tokenizer = CLIPTokenizer.from_pretrained(model, subfolder='tokenizer', torch_dtype=dtype)
209 text_encoder = CLIPTextModel.from_pretrained(model, subfolder='/text_encoder', torch_dtype=dtype) 209 text_encoder = CLIPTextModel.from_pretrained(model, subfolder='text_encoder', torch_dtype=dtype)
210 vae = AutoencoderKL.from_pretrained(model, subfolder='/vae', torch_dtype=dtype) 210 vae = AutoencoderKL.from_pretrained(model, subfolder='vae', torch_dtype=dtype)
211 unet = UNet2DConditionModel.from_pretrained(model, subfolder='/unet', torch_dtype=dtype) 211 unet = UNet2DConditionModel.from_pretrained(model, subfolder='unet', torch_dtype=dtype)
212 212
213 load_embeddings(tokenizer, text_encoder, embeddings_dir) 213 load_embeddings(tokenizer, text_encoder, embeddings_dir)
214 214