Update app.py

app.py

@@ -5,7 +5,7 @@ from PIL import Image
 
 model_id = 'wavymulder/lomo-diffusion'
 prefix = 'lomo style,'
-     
+
 scheduler = DPMSolverMultistepScheduler.from_pretrained(model_id, subfolder="scheduler")
 
 pipe = StableDiffusionPipeline.from_pretrained(
@@ -107,29 +107,32 @@ with gr.Blocks(css=css) as demo:
         f"""
             <div class="main-div">
               <div>
-                <h1>Stable Diffusion 2 //Duc Haiten</h1>
+                <h1 style="color:yellow;">📸 Lomo Diffusion 📸</h1>
               </div>
               <p>
-               Demo for <a href="https://huggingface.co/SG161222/Realistic_Vision_V1.3">Realistic Vision V1.3</a> Stable Diffusion model by "Eugene".<br><br>
-               Please use this prompt template to get the desired generation results:<br>
-<h2><b>Prompt</b>:</h2>
-<details>
-RAW photo, *subject*, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3
-<br><br>
-<i>Example: RAW photo, a close up portrait photo of 26 y.o woman in wastelander clothes, long haircut, pale skin, slim body, background is city ruins, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3 
-</i>
-</details>
-
-<h2><b>Negative Prompt</b>:</h2>
-<details>
-(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, 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
-</details>
+               Demo for <a href="https://huggingface.com/wwavymulder/lomo-diffusion">Lomo 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>
+lomo 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: lomo style photograph of Heath Ledger as Batman</i></q>
+</code></details>
+<q><em>Important note: Lomo 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>
-Have Fun & Enjoy
-//THAFX<br>
-               {"" if prefix else ""}
-              </p>
-              Running on {"<b>GPU 🔥</b>" if torch.cuda.is_available() else f"<b>CPU 🔥</b>"}.
             </div>
         """
     )
@@ -148,15 +151,15 @@ Have Fun & Enjoy
           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 (RAW photo,)", value=prefix, visible=prefix)
+              auto_prefix = gr.Checkbox(label="Prefix styling tokens automatically (portrait+ 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)
 
@@ -175,4 +178,4 @@ Have Fun & Enjoy
     
 
 demo.queue(concurrency_count=1)
-demo.launch()
+demo.launch()