Update app.py

app.py

@@ -2,7 +2,7 @@ import torch
 from diffusers import StableDiffusionPipeline
 import gradio as gr
 
-model_base = "runwayml/stable-diffusion-v1-5"
+model_base = "SG161222/Realistic_Vision_V5.1_noVAE"
 lora_model_path = "Krebzonide/3a0s-w68r-4qw1-0"
 
 pipe = StableDiffusionPipeline.from_pretrained(model_base, torch_dtype=torch.float16, use_safetensors=True)
@@ -42,8 +42,15 @@ css = """
 .dark .btn-red:hover {background: linear-gradient(to bottom right, #be123c, #be123c) !important;}
 """
 
-def generate(prompt, neg_prompt):
-    images = pipe(prompt,negative_prompt=neg_prompt,num_inference_steps=25,guidance_scale=6, cross_attention_kwargs={"scale": 0.5}).images
+def generate(prompt, neg_prompt, samp_steps, guide_scale, lora_scale):
+    images = pipe(
+        prompt,
+        negative_prompt=neg_prompt,
+        num_inference_steps=samp_steps,
+        guidance_scale=guide_scale,
+        cross_attention_kwargs={"scale": lora_scale},
+        num_images_per_prompt=4
+    ).images
     return [(img, f"Image {i+1}") for i, img in enumerate(images)]
         
 
@@ -53,8 +60,12 @@ with gr.Blocks(css=css) as demo:
         negative_prompt = gr.Textbox(label="Negative Prompt", value="lowres, bad anatomy, bad hands, cropped, worst quality, disfigured, deformed, extra limbs, asian, filter, render")
         submit_btn = gr.Button("Generate", variant="primary", min_width="96px")
         gallery = gr.Gallery(label="Generated images")
+        with gr.Row():
+            samp_steps = gr.Slider(1, 100, value=30, step=1, label="Sampling steps")
+            guide_scale = gr.Slider(1, 10, value=6, step=0.5, label="Guidance scale")
+            lora_scale = gr.Slider(0, 1, value=0.5, step=0.01, label="LoRA power")
 
-    submit_btn.click(generate, [prompt, negative_prompt], [gallery], queue=True)
+    submit_btn.click(generate, [prompt, negative_prompt, samp_steps, guide_scale, lora_scale], [gallery], queue=True)
 
 demo.queue(1)
 demo.launch(debug=True)