Update app.py

Add slider steps and update to v2.0 to SDXL

app.py

@@ -64,14 +64,14 @@ def generate_output(input_text: str, neg_prompt: str, samples: int, steps: int,
 input_components = [
     gr.inputs.Textbox(label="Input Prompt"),
     gr.inputs.Textbox(label="Negative Prompt"),
-    gr.inputs.Slider(label="No. of Images to Generate", minimum=1, maximum=3, default=1),
-    gr.inputs.Slider(label="Sampling Steps per Image", minimum=30, maximum=40, default=30),
+    gr.inputs.Slider(label="No. of Images to Generate", minimum=1, maximum=2, default=1, step = 1),
+    gr.inputs.Slider(label="Sampling Steps per Image", minimum=30, maximum=40, default=30, step = 1),
     gr.inputs.Dropdown(label="Aspect Ratio", choices=["square", "landscape", "portrait"], default="square"),
     gr.inputs.Slider(label="Prompt Guidance Scale", minimum=0.1, maximum=20.0, default=7.5),
     gr.inputs.Textbox(label="Random Seed", default=random.randint(0, 1000000)),
 ]
 
-output_component_sdxl_base = gr.Gallery(label="Stable Diffusion V2.0 Output", type="pil", container = True)
+output_component_sdxl_base = gr.Gallery(label="Stable Diffusion XL Output", type="pil", container = True)
 output_component_txt2img = gr.Gallery(label="Stable Diffusion V1.5 Output", type="pil", container = True)
 
 interface = gr.Interface(
@@ -81,7 +81,7 @@ interface = gr.Interface(
     live=False,
     capture_session=True,
     title="Stable Diffusion Evaluation powered by MonsterAPI",
-    description="""This HuggingFace Space has been designed to help you compare the outputs between Stable-Diffusion V1.5 vs V2.0. These models are hosted on [MonsterAPI](https://monsterapi.ai/?utm_source=llm-evaluation&utm_medium=referral) - An AI infrastructure platform built for easily accessing AI models via scalable APIs and [finetuning LLMs](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm) at very low cost with our no-code implementation. MonsterAPI is powered by our low cost and highly scalable GPU computing platform - [Q Blocks](https://www.qblocks.cloud?utm_source=llm-evaluation&utm_medium=referral). These LLMs are accessible via scalable REST APIs. Checkout our [API documentation](https://documenter.getpostman.com/view/13759598/2s8ZDVZ3Yi) to integrate them in your AI powered applications.""",
+    description="""This HuggingFace Space has been designed to help you compare the outputs between Stable-Diffusion V1.5 vs SDXL. These models are hosted on [MonsterAPI](https://monsterapi.ai/?utm_source=llm-evaluation&utm_medium=referral) - An AI infrastructure platform built for easily accessing AI models via scalable APIs and [finetuning LLMs](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm) at very low cost with our no-code implementation. MonsterAPI is powered by our low cost and highly scalable GPU computing platform - [Q Blocks](https://www.qblocks.cloud?utm_source=llm-evaluation&utm_medium=referral). These LLMs are accessible via scalable REST APIs. Checkout our [API documentation](https://documenter.getpostman.com/view/13759598/2s8ZDVZ3Yi) to integrate them in your AI powered applications.""",
     css="body {background-color: black}"
 )