Update README.md

README.md

@@ -59,7 +59,7 @@ pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-d
 pipeline.load_lora_weights('rootonchair/4x4_sticker_sheet', weight_name='pytorch_lora_weights.safetensors', adapter_name='4x4_sticker_sheet')
 pipeline.set_adapters(['4x4_sticker_sheet'], adapter_weights=[0.8])
 
-image = pipeline('This set of four image depicts a cartoon black cat wearing a pirate hat; [IMAGE1] The cat is happy, holding a bouquet; [IMAGE2] The cat is happy, surrounded with music notes; [IMAGE3] The cat is riding a bicycle; [IMAGE4] The cat is eating an ice cream').images[0]
+image = pipeline('This set of four image depicts a cartoon black cat wearing a pirate hat; [IMAGE1] The cat is happy, holding a bouquet; [IMAGE2] The cat is happy, surrounded with music notes; [IMAGE3] The cat is riding a bicycle; [IMAGE4] The cat is eating an ice cream', width=512, height=512, num_inference_steps=28, guidance_scale=3.5).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)