Testing a max queue size of 10

And some comments and text changing

app.py

@@ -10,17 +10,22 @@ import re
 model_id = "CompVis/stable-diffusion-v1-4"
 device = "cuda"
 
+#If you are running this code locally, you need to either do a 'huggingface-cli login` or paste your User Access Token from here https://huggingface.co/settings/tokens into the use_auth_token field below. 
 pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True, revision="fp16", torch_dtype=torch.float16)
 pipe = pipe.to(device)
+#When running locally, you won`t have access to this, so you can remove this part
 word_list_dataset = load_dataset("stabilityai/word-list", data_files="list.txt", use_auth_token=True)
 word_list = word_list_dataset["train"]['text']
 
 def infer(prompt, samples, steps, scale, seed):
+    #When running locally you can also remove this filter
     for filter in word_list:
         if re.search(rf"\b{filter}\b", prompt):
             raise gr.Error("Unsafe content found. Please try again with different prompts.")
         
     generator = torch.Generator(device=device).manual_seed(seed)
+    
+    #If you are running locally with CPU, you can remove the `with autocast("cuda")`
     with autocast("cuda"):
         images_list = pipe(
             [prompt] * samples,
@@ -160,7 +165,7 @@ examples = [
         1024,
     ],
     [
-        "A small cabin on top of a snowy mountain in the style of disney, arstation",
+        "A small cabin on top of a snowy mountain in the style of Disney, artstation",
         4,
         45,
         7,
@@ -300,4 +305,4 @@ Despite how impressive being able to turn text into image is, beware to the fact
            """
         )
 
-block.queue(max_size=40).launch()
+block.queue(max_size=10).launch()