fix: teext.

app.py

@@ -9,7 +9,11 @@ cartoonization_id = "instruction-tuning-sd/cartoonizer"
 image_proc_id = "instruction-tuning-sd/low-level-img-proc"
 
 title = "Instruction-tuned Stable Diffusion"
-description = "This Space demonstrates the instruction-tuning on Stable Diffusion. To know more, please check out the [corresponding blog post](https://hf.co/blog/instruction-tuning-sd). Some experimentation tips are available from [the original InstructPix2Pix Space](https://huggingface.co/spaces/timbrooks/instruct-pix2pix)."
+description = "This Space demonstrates the instruction-tuning on Stable Diffusion. To know more, "
+"please check out the [corresponding blog post](https://hf.co/blog/instruction-tuning-sd). " 
+"Some experimentation tips on the hyperparameters are available from "
+"[the original InstructPix2Pix Space](https://huggingface.co/spaces/timbrooks/instruct-pix2pix). "
+"You can quickly try out the samples provided at the bottom of this demo."
 
 
 def load_pipeline(id: str):
@@ -78,10 +82,10 @@ with gr.Blocks(theme="gradio/soft") as demo:
         prompt = gr.Textbox(label="Prompt")
         neg_prompt = gr.Textbox(label="Negative Prompt")
         input_image = gr.Image(label="Input Image", type="pil")
-        steps = gr.Slider(minimum=5, maximum=100, step=1)
+        steps = gr.Slider(minimum=5, maximum=100, step=1, label="Steps")
         img_cfg = gr.Number(value=1.5, label=f"Image CFG", interactive=True)
         text_cfg = gr.Number(value=7.5, label=f"Text CFG", interactive=True)
-        seed = gr.Slider(minimum=0, maximum=100000, step=1)
+        seed = gr.Slider(minimum=0, maximum=100000, step=1, label="Seed")
 
         car_output_gallery = gr.Gallery(
             label="Generated images", show_label=False, elem_id="gallery"