Update app.py

app.py

@@ -11,7 +11,7 @@ tqdm.monitor_interval = 0
 
 # Load the diffusion pipeline
 pipe = StableDiffusionXLPipeline.from_pretrained(
-    "kayfahaarukku/UrangDiffusion-2.0", 
+    "kayfahaarukku/irAsu-1.0", 
     torch_dtype=torch.float16, 
     custom_pipeline="lpw_stable_diffusion_xl",
 )
@@ -58,11 +58,11 @@ def interface_fn(prompt, negative_prompt, use_defaults, resolution, guidance_sca
     return image, seed, gr.update(value=metadata_text)
 
 def reset_inputs():
-    return gr.update(value=''), gr.update(value=''), gr.update(value=True), gr.update(value='832x1216'), gr.update(value=7), gr.update(value=28), gr.update(value=0), gr.update(value=True), gr.update(value='')
+    return gr.update(value=''), gr.update(value=''), gr.update(value=True), gr.update(value='832x1216'), gr.update(value=4), gr.update(value=28), gr.update(value=0), gr.update(value=True), gr.update(value='')
 
-with gr.Blocks(title="UrangDiffusion 2.0 Demo", theme="NoCrypt/[email protected]") as demo:
+with gr.Blocks(title="irAsu 1.0 Demo", theme="NoCrypt/[email protected]") as demo:
     gr.HTML(
-        "<h1>UrangDiffusion 2.0 Demo</h1>"
+        "<h1>irAsu 1.0 Demo</h1>"
         "This demo is intended to showcase what the model is capable of and is not intended to be the main generation platform. Results produced with Diffusers are not the best, and it's highly recommended for you to get the model running inside Stable Diffusion WebUI or ComfyUI."
         )
     with gr.Row():
@@ -78,7 +78,7 @@ with gr.Blocks(title="UrangDiffusion 2.0 Demo", theme="NoCrypt/[email protected]") as d
                 label="Resolution",
                 value="832x1216"
             )
-            guidance_scale_input = gr.Slider(minimum=1, maximum=20, step=0.5, label="Guidance Scale", value=7)
+            guidance_scale_input = gr.Slider(minimum=1, maximum=20, step=0.5, label="Guidance Scale", value=4)
             num_inference_steps_input = gr.Slider(minimum=1, maximum=100, step=1, label="Number of Inference Steps", value=28)
             seed_input = gr.Slider(minimum=0, maximum=999999999, step=1, label="Seed", value=0, interactive=True)
             randomize_seed_input = gr.Checkbox(label="Randomize Seed", value=True)
@@ -103,7 +103,8 @@ with gr.Blocks(title="UrangDiffusion 2.0 Demo", theme="NoCrypt/[email protected]") as d
 
                 ### Recommended settings:
                 - Steps: 25-30
-                - CFG: 5-7
+                - CFG: 3.5-5
+                - Sweet spot: 28 steps, 4 CFG
                 """
             )