Update app.py

app.py

@@ -38,6 +38,7 @@ class Model:
 
 models = [
    Model("Cyberpunk Anime Diffusion", "DGSpitzer/Cyberpunk-Anime-Diffusion", "dgs illustration style "),
+   Model("DGSpitzer Art Diffusion", "DGSpitzer/DGSpitzer-Art-Diffusion", "dgspitzer painting,"),
    Model("Guan Yu Diffusion", "DGSpitzer/Guan-Yu-Diffusion", "")
 ]
 
@@ -51,23 +52,51 @@ current_model = models[1] if is_colab else models[0]
 current_model_path = current_model.path
 
 if is_colab:
-  pipe = StableDiffusionPipeline.from_pretrained(
+  pipe0 = StableDiffusionPipeline.from_pretrained(
       current_model.path,
-      torch_dtype=torch.float16,
+      torch_dtype=torchfloat,
       scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler"),
       safety_checker=lambda images, clip_input: (images, False)
       )
+    
+  if torch.cuda.is_available():
+    pipe0 = pipe0.to("cuda")
+
+elif torch.cuda.is_available() == False:
+  pipe0 = StableDiffusionPipeline.from_pretrained(
+    current_model.path,
+    torch_dtype=torchfloat,
+    scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler")
+    )
 
 else:
   eulera = EulerAncestralDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", num_train_timesteps=1000)
-  pipe = StableDiffusionPipeline.from_pretrained(
-      current_model.path,
-      torch_dtype=torch.float16,
+  pipe0 = StableDiffusionPipeline.from_pretrained(
+      models[0].path,
+      torch_dtype=torchfloat,
       scheduler=eulera
       )
-    
-if torch.cuda.is_available():
-  pipe = pipe.to("cuda")
+  pipe1 = StableDiffusionPipeline.from_pretrained(
+      models[1].path,
+      torch_dtype=torchfloat,
+      scheduler=eulera,
+      use_auth_token=os.environ.get("HF")
+      )
+#  pipe1 = StableDiffusionPipeline.from_pretrained(
+#      models[1].path,
+#      torch_dtype=torchfloat,
+#      scheduler=eulera
+#      )
+  pipe2 = StableDiffusionPipeline.from_pretrained(
+      models[2].path,
+      torch_dtype=torchfloat,
+      scheduler=eulera
+      )
+  if torch.cuda.is_available():
+    pipe0 = pipe0.to("cuda")
+    pipe1 = pipe1.to("cuda")
+    pipe2 = pipe2.to("cuda")
+      
   #pipe.enable_xformers_memory_efficient_attention()
 
 device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶"
@@ -101,7 +130,7 @@ def inference(model_name, prompt, neg_prompt, guidance, steps, width=512, height
       model_path = current_model.path
 
   generator = torch.Generator('cuda').manual_seed(seed) if seed != 0 else None
-
+  
   try:
     if img is not None:
       return img_to_img(model_path, prompt, neg_prompt, img, strength, guidance, steps, width, height, n_images, generator), None, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
@@ -120,43 +149,64 @@ def txt_to_img(model_path, prompt, neg_prompt, guidance, steps, width, height, n
     print(f"{datetime.datetime.now()} txt_to_img, model: {current_model.name}")
 
     global last_mode
-    global pipe
+    global pipe0
+    global pipe1
+    global pipe2
     global current_model_path
     if model_path != current_model_path or last_mode != "txt2img":
         current_model_path = model_path
 
         if is_colab or current_model == custom_model:
-          pipe = StableDiffusionPipeline.from_pretrained(
+          pipe0 = StableDiffusionPipeline.from_pretrained(
               current_model_path,
-              torch_dtype=torch.float16,
+              torch_dtype=torchfloat,
               scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler"),
               safety_checker=lambda images, clip_input: (images, False)
               )
-        else:
-          eulera = EulerAncestralDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", num_train_timesteps=1000)
-          pipe = StableDiffusionPipeline.from_pretrained(
-              current_model_path,
-              torch_dtype=torch.float16,
-              scheduler=eulera
-              )
-          # pipe = pipe.to("cpu")
-          # pipe = current_model.pipe_t2i
-
-        if torch.cuda.is_available():
-          pipe = pipe.to("cuda")
-          # pipe.enable_xformers_memory_efficient_attention()
+          if torch.cuda.is_available():
+            pipe0 = pipe0.to("cuda")
+            # pipe.enable_xformers_memory_efficient_attention()
+        elif torch.cuda.is_available() == False:
+          pipe0 = StableDiffusionPipeline.from_pretrained(
+            current_model_path,
+            torch_dtype=torchfloat,
+            scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler")
+            )
         last_mode = "txt2img"
 
     prompt = current_model.prefix + prompt  
-    result = pipe(
-      prompt,
-      negative_prompt = neg_prompt,
-      num_images_per_prompt=n_images,
-      num_inference_steps = int(steps),
-      guidance_scale = guidance,
-      width = width,
-      height = height,
-      generator = generator)
+    if current_model == models[0] or is_colab or torch.cuda.is_available() == False:
+        result = pipe0(
+          prompt,
+          negative_prompt = neg_prompt,
+          num_images_per_prompt=n_images,
+          num_inference_steps = int(steps),
+          guidance_scale = guidance,
+          width = width,
+          height = height,
+          generator = generator)
+    elif current_model == models[1]:
+        result = pipe1(
+          prompt,
+          negative_prompt = neg_prompt,
+          num_images_per_prompt=n_images,
+          num_inference_steps = int(steps),
+          guidance_scale = guidance,
+          width = width,
+          height = height,
+          generator = generator)
+    elif current_model == models[2]:
+        result = pipe2(
+          prompt,
+          negative_prompt = neg_prompt,
+          num_images_per_prompt=n_images,
+          num_inference_steps = int(steps),
+          guidance_scale = guidance,
+          width = width,
+          height = height,
+          generator = generator)
+    
+    print("Job done! Filtering nsfw content")
     
     return replace_nsfw_images(result)
 
@@ -165,36 +215,37 @@ def img_to_img(model_path, prompt, neg_prompt, img, strength, guidance, steps, w
     print(f"{datetime.datetime.now()} img_to_img, model: {model_path}")
 
     global last_mode
-    global pipe
+    global pipe0
+    global pipe1
     global current_model_path
     if model_path != current_model_path or last_mode != "img2img":
         current_model_path = model_path
 
         if is_colab or current_model == custom_model:
-          pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
+          pipe0 = StableDiffusionImg2ImgPipeline.from_pretrained(
               current_model_path,
-              torch_dtype=torch.float16,
+              torch_dtype=torchfloat,
               scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler"),
               safety_checker=lambda images, clip_input: (images, False)
               )
         else:
-          pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
+          pipe0 = StableDiffusionImg2ImgPipeline.from_pretrained(
               current_model_path,
-              torch_dtype=torch.float16,
+              torch_dtype=torchfloat,
               scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler")
               )
           # pipe = pipe.to("cpu")
           # pipe = current_model.pipe_i2i
         
         if torch.cuda.is_available():
-          pipe = pipe.to("cuda")
-          pipe.enable_xformers_memory_efficient_attention()
+          pipe0 = pipe0.to("cuda")
+          pipe0.enable_xformers_memory_efficient_attention()
         last_mode = "img2img"
 
     prompt = current_model.prefix + prompt
     ratio = min(height / img.height, width / img.width)
     img = img.resize((int(img.width * ratio), int(img.height * ratio)), Image.LANCZOS)
-    result = pipe(
+    result = pipe0(
         prompt,
         negative_prompt = neg_prompt,
         num_images_per_prompt=n_images,
@@ -212,10 +263,11 @@ def replace_nsfw_images(results):
     #Only return 1 image for community sharing
     if is_colab:
       return results.images[0]
-      
+
     for i in range(len(results.images)):
       if results.nsfw_content_detected[i]:
         results.images[i] = Image.open("nsfw_placeholder.jpg")
+          
     return results.images[0]
 
 
@@ -269,7 +321,7 @@ with gr.Blocks(css=css) as demo:
                 </h1>
               </div>
               <p style="margin-bottom: 10px; font-size: 94%">
-               Online Demo for <a href="https://huggingface.co/DGSpitzer/Cyberpunk-Anime-Diffusion" target="_blank">Cyberpunk Anime Diffusion</a> & <a href="https://huggingface.co/DGSpitzer/Guan-Yu-Diffusion" target="_blank">Guan Yu Diffusion</a>. Based of the projects by anzorq <a href="https://twitter.com/hahahahohohe"></a> and fffiloni <a href="https://twitter.com/fffiloni"></a>
+               Online Demo for <a href="https://huggingface.co/DGSpitzer/Cyberpunk-Anime-Diffusion" target="_blank">Cyberpunk Anime Diffusion</a> & <a href="https://huggingface.co/DGSpitzer/DGSpitzer-Art-Diffusion" target="_blank">DGSpitzer Art Diffusion</a> & <a href="https://huggingface.co/DGSpitzer/Guan-Yu-Diffusion" target="_blank">Guan Yu Diffusion</a>. Based of the projects by anzorq <a href="https://twitter.com/hahahahohohe"></a> and fffiloni <a href="https://twitter.com/fffiloni"></a>
               </p>
             </div>
             <div
@@ -342,19 +394,28 @@ with gr.Blocks(css=css) as demo:
         [models[0].name, "city landscape with fancy car, racing on the road, gopro, intricate details, 4k, cyberpunk", "out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 20, 704, 704],
         [models[0].name, "portrait of liu yifei girl, soldier working in a cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", "out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 20, 704, 704],
         [models[0].name, "portrait of a muscular beard male in dgs illustration style, half-body, holding robot arms, strong chest", "out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 20, 512, 640],
-        [models[1].name, "Portrait of guanyu walking in ancient battlefield, close up shot", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
-        [models[1].name, "Portrait of a man holding very cute panda plushie, Guanyu", "", 7, 30, 576, 576],
-        [models[1].name, "taking selfie on ancient battlefield of China, guanyu, gopro, sharp focus, old scratched photo, three kingdoms warriors everywhere, masterpiece", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
-        [models[1].name, "superman, portrait of fancy superhero guanyu, golden spiderman, mech, robot, high tech, shining core, intricate details, 4k", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
-        [models[1].name, "batman, portrait of fancy superhero guanyu, golden spiderman, mech, robot, high tech, shining core, intricate details, 4k", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
-        [models[1].name, "a huge gundam mech fighting against guanyu", "blurry, out of focus", 7, 30, 576, 576],
-        [models[1].name, "a cute nendoroid figure toy guanyu", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
-        [models[1].name, "a cute funko figure toy guanyu", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
-        [models[1].name, "a lego guanyu", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
-        [models[1].name, "a gorgeous wuxia girl standing in the palace", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
-        [models[1].name, "a handsome wuxia man", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
-        [models[1].name, "a wuxia girl diving underwater, surrounded by a shark", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 20, 576, 576],
-        [models[1].name, "a cute nendoroid wuxia figure toy", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[1].name, " portrait of a girl, draw photorealistic painting full body portrait of stunningly attractive female soldier working, cleavage, perfect face, dark ponytail curvy hair, intricate, 8k, highly detailed, shy, digital painting, intense, sharp focus", "NSFW, USA flag, 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, bad feet", 7, 30, 576, 576],
+        [models[1].name, "portrait of a girl, photorealistic painting paladin priest working in a magical tavern, cleavage, perfect face, curvy hair, intricate, 8k, highly detailed, intense, sharp focus, Anime, outline", "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, bad feet", 7, 30, 576, 576],
+        [models[1].name, "a beautiful mech girl, paining style, 4k, photorealistic", "saturation", 7, 30, 576, 576],
+        [models[1].name, "outline anime portrait of a beautiful martial art girl", "saturation, purple, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[1].name, "sketch muscular man on ancient battlefield of China, sharp focus, old scratched photo, three kingdoms warriors everywhere, masterpiece", "cat ear, body out of frame, deformed, blurry, bad anatomy, ugly, disfigured, poorly drawn face, mutation, mutated, extra limbs, watermark", 7, 30, 576, 576],
+        [models[1].name, "a mech robot", "purple", 7, 30, 576, 576],
+        [models[1].name, "portrait of a beautiful very young teen cowboy girl who embodies the rugged and independent spirit of the Old West. She should be strong-willed and confident, with a sharp sense of justice and a heart of gold. Her style should be a blend of traditional Western fashion and modern flair, with a touch of glamour and femininity. Whether she's taming wild horses, fighting off bandits, or just enjoying the sunset on the prairie, this cowboy girl is a force to be reckoned with and a sight to behold.", "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, bad feet", 7, 30, 576, 576],
+        [models[1].name, "a muscular man from space", "blurry, out of focus", 7, 30, 576, 576],
+        [models[1].name, "landscape of a cyberpunk soldier man in the battlefield, dark light, far away", "blurry, out of focus", 7, 30, 704, 576],
+        [models[2].name, "Portrait of guanyu walking in ancient battlefield, close up shot", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[2].name, "Portrait of a man holding very cute panda plushie, Guanyu", "", 7, 30, 576, 576],
+        [models[2].name, "taking selfie on ancient battlefield of China, guanyu, gopro, sharp focus, old scratched photo, three kingdoms warriors everywhere, masterpiece", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[2].name, "superman, portrait of fancy superhero guanyu, golden spiderman, mech, robot, high tech, shining core, intricate details, 4k", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[2].name, "batman, portrait of fancy superhero guanyu, golden spiderman, mech, robot, high tech, shining core, intricate details, 4k", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[2].name, "a huge gundam mech fighting against guanyu", "blurry, out of focus", 7, 30, 576, 576],
+        [models[2].name, "a cute nendoroid figure toy guanyu", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[2].name, "a cute funko figure toy guanyu", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[2].name, "a lego guanyu", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[2].name, "a gorgeous wuxia girl standing in the palace", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[2].name, "a handsome wuxia man", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
+        [models[2].name, "a wuxia girl diving underwater, surrounded by a shark", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 20, 576, 576],
+        [models[2].name, "a cute nendoroid wuxia figure toy", "blurry, out of focus, scary, creepy, evil, disfigured, missing limbs, ugly, gross, missing fingers", 7, 30, 576, 576],
     ], [model_name, prompt, neg_prompt, guidance, steps, width_input, height_input], outputs=image_out, fn=inference_example, cache_examples=torch.cuda.is_available())
     gr.Markdown('''
       Models and Space by [@DGSpitzer](https://www.youtube.com/channel/UCzzsYBF4qwtMwJaPJZ5SuPg)❤️ [@大谷的游戏创作小屋](https://space.bilibili.com/176003)