Update app.py

app.py

@@ -5,7 +5,7 @@ from PIL import Image
 
 model_id = 'wavymulder/Analog-Diffusion'
 prefix = 'analog style, '
-     
+
 scheduler = DPMSolverMultistepScheduler.from_pretrained(model_id, subfolder="scheduler")
 
 pipe = StableDiffusionPipeline.from_pretrained(
@@ -26,8 +26,32 @@ def error_str(error, title="Error"):
     return f"""#### {title}
             {error}"""  if error else ""
 
-def inference(prompt, guidance, steps, width=512, height=512, seed=0, img=None, strength=0.5, neg_prompt="", auto_prefix=False):
 
+def _parse_args(prompt, generator):
+        parser = argparse.ArgumentParser(
+            description="making it work."
+        )
+        parser.add_argument(
+            "--no-half-vae", help="no half vae"
+        )
+
+        cmdline_args = parser.parse_args()
+        command = cmdline_args.command
+        conf_file = cmdline_args.conf_file
+        conf_args = Arguments(conf_file)
+        opt = conf_args.readArguments()
+
+        if cmdline_args.config_overrides:
+            for config_override in cmdline_args.config_overrides.split(";"):
+                config_override = config_override.strip()
+                if config_override:
+                    var_val = config_override.split("=")
+                    assert (
+                        len(var_val) == 2
+                    ), f"Config override '{var_val}' does not have the form 'VAR=val'"
+                    conf_args.add_opt(opt, var_val[0], var_val[1], force_override=True)
+
+def inference(prompt, guidance, steps, width=512, height=512, seed=0, img=None, strength=0.5, neg_prompt="", auto_prefix=False):
   generator = torch.Generator('cuda').manual_seed(seed) if seed != 0 else None
   prompt = f"{prefix} {prompt}" if auto_prefix else prompt
 
@@ -38,6 +62,8 @@ def inference(prompt, guidance, steps, width=512, height=512, seed=0, img=None,
       return txt_to_img(prompt, neg_prompt, guidance, steps, width, height, generator), None
   except Exception as e:
     return None, error_str(e)
+      
+      
 
 def txt_to_img(prompt, neg_prompt, guidance, steps, width, height, generator):
 
@@ -69,6 +95,11 @@ def img_to_img(prompt, neg_prompt, img, strength, guidance, steps, width, height
         
     return result.images[0]
 
+    def fake_safety_checker(images, **kwargs):
+      return result.images[0], [False] * len(images)
+    
+    pipe.safety_checker = fake_safety_checker
+
 css = """.main-div div{display:inline-flex;align-items:center;gap:.8rem;font-size:1.75rem}.main-div div h1{font-weight:900;margin-bottom:7px}.main-div p{margin-bottom:10px;font-size:94%}a{text-decoration:underline}.tabs{margin-top:0;margin-bottom:0}#gallery{min-height:20rem}
 """
 with gr.Blocks(css=css) as demo:
@@ -76,14 +107,32 @@ with gr.Blocks(css=css) as demo:
         f"""
             <div class="main-div">
               <div>
-                <h1>Analog Diffusion</h1>
+                <h1 style="color:yellow;">📸 Analog Diffusion 📸</h1>
               </div>
               <p>
-               Demo for <a href="https://huggingface.co/wavymulder/Analog-Diffusion">Analog Diffusion</a> Stable Diffusion model.<br>
-               {"Add the following tokens to your prompts for the model to work properly: <b>prefix</b>" if prefix else ""}
-              </p>
-              Running on {"<b>GPU 🔥</b>" if torch.cuda.is_available() else f"<b>CPU 🥶</b>. For faster inference it is recommended to <b>upgrade to GPU in <a href='https://huggingface.co/spaces/akhaliq/Analog-Diffusion/settings'>Settings</a></b>"} after duplicating the space<br><br>
-              <a style="display:inline-block" href="https://thafx.com"><img src="https://bit.ly/3gLdBN6" alt="ThaFX"></a>
+               Demo for <a href="https://huggingface.com/wavymulder/Analog-Diffusion">Analog Diffusion</a> 
+               Stable Diffusion model by <a href="https://huggingface.co/wavymulder/"><abbr title="Wavymulder">Wavymulder</abbr></a>. {"" if prefix else ""}  
+              Running on {"<b>GPU 🔥</b>" if torch.cuda.is_available() else f"<b>CPU ⚡</b>"}. 
+               </p>
+             <p>Please use the prompt template below to achieve the desired result:
+               </p>
+               
+<b>Prompt</b>:
+<details><code>
+analog style photograph of <b>* subject * </b>, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, realistic, photo-realistic, full length frame, High detail RAW color art, piercing, diffused soft lighting, shallow depth of field, sharp focus, hyperrealism, cinematic lighting
+<br>
+<br>
+<q><i>Example: analog style photograph of Heath Ledger as Batman</i></q>
+</code></details>
+<q><em>Important note: Analog Diffusion works best at a 1:1 aspect ratio, it is also successful using tall aspect ratios as well.</em></q>
+<br>
+<b>Negative Prompt</b>:
+<details><code>
+blender illustration hdr, lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature 
+</code></details>
+<br>
+Have Fun & Enjoy ⚡ <a href="https://www.thafx.com"><abbr title="Website">//THAFX</abbr></a>
+<br>
             </div>
         """
     )
@@ -92,7 +141,7 @@ with gr.Blocks(css=css) as demo:
         with gr.Column(scale=55):
           with gr.Group():
               with gr.Row():
-                prompt = gr.Textbox(label="Prompt", show_label=False, max_lines=2,placeholder=f"{prefix} [your prompt]").style(container=False)
+                prompt = gr.Textbox(label="Prompt", show_label=False,max_lines=2,placeholder=f"{prefix} [your prompt]").style(container=False)
                 generate = gr.Button(value="Generate").style(rounded=(False, True, True, False))
 
               image_out = gr.Image(height=512)
@@ -102,15 +151,15 @@ with gr.Blocks(css=css) as demo:
           with gr.Tab("Options"):
             with gr.Group():
               neg_prompt = gr.Textbox(label="Negative prompt", placeholder="What to exclude from the image")
-              auto_prefix = gr.Checkbox(label="Prefix styling tokens automatically ()", value=prefix, visible=prefix)
+              auto_prefix = gr.Checkbox(label="Prefix styling tokens automatically (analog style,)", value=prefix, visible=prefix)
 
               with gr.Row():
-                guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)
-                steps = gr.Slider(label="Steps", value=25, minimum=2, maximum=75, step=1)
+                guidance = gr.Slider(label="Guidance scale", value=7, maximum=15)
+                steps = gr.Slider(label="Steps", value=20, minimum=2, maximum=75, step=1)
 
               with gr.Row():
-                width = gr.Slider(label="Width", value=512, minimum=64, maximum=1024, step=8)
-                height = gr.Slider(label="Height", value=512, minimum=64, maximum=1024, step=8)
+                width = gr.Slider(label="Width", value=768, minimum=64, maximum=1024, step=8)
+                height = gr.Slider(label="Height", value=768, minimum=64, maximum=1024, step=8)
 
               seed = gr.Slider(0, 2147483647, label='Seed (0 = random)', value=0, step=1)
 
@@ -126,12 +175,7 @@ with gr.Blocks(css=css) as demo:
     prompt.submit(inference, inputs=inputs, outputs=outputs)
     generate.click(inference, inputs=inputs, outputs=outputs)
 
-    gr.HTML("""
-    <div style="border-top: 1px solid #303030;">
-      <br>
-      <p>This space was created using <a href="https://huggingface.co/spaces/anzorq/sd-space-creator">SD Space Creator</a>.</p>
-    </div>
-    """)
+    
 
 demo.queue(concurrency_count=1)
-demo.launch()
+demo.launch()