Update README.md

README.md

@@ -60,9 +60,9 @@ for index, item in enumerate(output):
 from diffusers import AutoPipelineForText2Image
 import torch
 
-pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
+pipeline = AutoPipelineForText2Image.from_pretrained('prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0', torch_dtype=torch.float16).to('cuda')
 pipeline.load_lora_weights('codermert/bahar_fluxxxxxx', weight_name='lora.safetensors')
-image = pipeline('TOK').images[0]
+image = pipeline('your prompt').images[0]
 ```
 
 For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)