Update README.md

README.md

@@ -33,7 +33,7 @@ instance_prompt: a webpage in the style of <s0><s1>
 license: openrail++
 ---
 
-# SDXL LoRA DreamBooth - LinoyTsaban/web_y2k_v6
+# SDXL LoRA DreamBooth - LinoyTsaban/web_y2k
 
 <Gallery />
 
@@ -58,8 +58,8 @@ from huggingface_hub import hf_hub_download
 from safetensors.torch import load_file
         
 pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
-pipeline.load_lora_weights('LinoyTsaban/web_y2k_v6', weight_name='pytorch_lora_weights.safetensors')
-embedding_path = hf_hub_download(repo_id='LinoyTsaban/web_y2k_v6', filename="embeddings.safetensors", repo_type="model")
+pipeline.load_lora_weights('LinoyTsaban/web_y2k', weight_name='pytorch_lora_weights.safetensors')
+embedding_path = hf_hub_download(repo_id='LinoyTsaban/web_y2k', filename="embeddings.safetensors", repo_type="model")
 state_dict = load_file(embedding_path)
 pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipe.text_encoder, tokenizer=pipe.tokenizer)
 pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipe.text_encoder_2, tokenizer=pipe.tokenizer_2)