Update README.md

README.md

@@ -67,8 +67,10 @@ pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusi
 pipeline.load_lora_weights('cookey39/teratera', weight_name='pytorch_lora_weights.safetensors')
 embedding_path = hf_hub_download(repo_id='cookey39/teratera', filename='teratera_emb.safetensors', repo_type="model")
 state_dict = load_file(embedding_path)
-pipeline.load_textual_inversion(state_dict["clip_l"], token=[], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
-pipeline.load_textual_inversion(state_dict["clip_g"], token=[], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
+# load embeddings of text_encoder 1 (CLIP ViT-L/14)
+pipe.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipe.text_encoder, tokenizer=pipe.tokenizer)
+# load embeddings of text_encoder 2 (CLIP ViT-G/14)
+pipe.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipe.text_encoder_2, tokenizer=pipe.tokenizer_2)
         
 instance_token = "<s0><s1>"
 prompt = f"a {instance_token}full-length phoor portrait，Vibrant, solo, 1girl, smile, long hair, hair between eyes, multicolored eyes, hooded jacket, open jacket, shirt, long sleeves, ribbon, best quality, perfect anatomy, highres, absurdres{instance_token}  "