Update README.md

README.md

@@ -12,6 +12,8 @@ tags:
 base_model: black-forest-labs/FLUX.1-schnell
 pipeline_tag: text-to-image
 instance_prompt: SABA
+height: 1024
+width: 512
 ---
 
 # Saba
@@ -33,7 +35,7 @@ import torch
 
 pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.float16).to('cuda')
 pipeline.load_lora_weights('janannfndnd/SABA', weight_name='lora.safetensors')
-image = pipeline("your prompt", height=1024, width=512).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)