UrgDiff 1.4 update :v

app.py

@@ -11,7 +11,7 @@ tqdm.monitor_interval = 0
 
 # Load the diffusion pipeline
 pipe = StableDiffusionXLPipeline.from_pretrained(
-    "kayfahaarukku/UrangDiffusion-1.3", 
+    "kayfahaarukku/UrangDiffusion-1.4", 
     torch_dtype=torch.float16, 
     custom_pipeline="lpw_stable_diffusion_xl",
 )
@@ -26,7 +26,7 @@ def generate_image(prompt, negative_prompt, use_defaults, resolution, guidance_s
         seed = random.randint(0, 99999999)
     if use_defaults:
         prompt = f"{prompt}, masterpiece, best quality, amazing quality, very aesthetic"
-        negative_prompt = f"nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, displeasing, {negative_prompt}"
+        negative_prompt = f"nsfw, lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract], {negative_prompt}"
     generator = torch.manual_seed(seed)
     
     def callback(step, timestep, latents):
@@ -60,9 +60,9 @@ def interface_fn(prompt, negative_prompt, use_defaults, resolution, guidance_sca
 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='')
 
-with gr.Blocks(title="UrangDiffusion 1.3 Demo", theme="NoCrypt/[email protected]") as demo:
+with gr.Blocks(title="UrangDiffusion 1.4 Demo", theme="NoCrypt/[email protected]") as demo:
     gr.HTML(
-        "<h1>UrangDiffusion 1.3 Demo</h1>"
+        "<h1>UrangDiffusion 1.4 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():
@@ -76,10 +76,10 @@ with gr.Blocks(title="UrangDiffusion 1.3 Demo", theme="NoCrypt/[email protected]") as d
                     "1344x768", "768x1344", "1536x640", "640x1536"
                 ],
                 label="Resolution",
-                value="832x1216"
+                value="896x1152"
             )
-            guidance_scale_input = gr.Slider(minimum=1, maximum=20, step=0.5, label="Guidance Scale", value=7)
-            num_inference_steps_input = gr.Slider(minimum=1, maximum=100, step=1, label="Number of Inference Steps", value=28)
+            guidance_scale_input = gr.Slider(minimum=1, maximum=20, step=0.5, label="Guidance Scale", value=5)
+            num_inference_steps_input = gr.Slider(minimum=1, maximum=100, step=1, label="Number of Inference Steps", value=26)
             seed_input = gr.Slider(minimum=0, maximum=99999999, step=1, label="Seed", value=0, interactive=True)
             randomize_seed_input = gr.Checkbox(label="Randomize Seed", value=True)
             generate_button = gr.Button("Generate")
@@ -97,9 +97,9 @@ with gr.Blocks(title="UrangDiffusion 1.3 Demo", theme="NoCrypt/[email protected]") as d
             gr.Markdown(
                 """
                 ### Recommended prompt formatting:
-                `1girl/1boy, character name, from what series, everything else in any order, masterpiece, best quality`
+                `1girl/1boy, character name, from what series, everything else in any order, masterpiece, best quality, amazing quality, very aesthetic,`
 
-                **PS:** `masterpiece, best quality` is automatically added when "Use Default Quality Tags and Negative Prompt" is enabled
+                **PS:** `masterpiece, best quality, amazing quality, very aesthetic,` is automatically added when "Use Default Quality Tags and Negative Prompt" is enabled
 
                 ### Recommended settings:
                 - Steps: 25-30