Upload app.py

app.py

@@ -10,9 +10,9 @@ import re
 model_id = "CompVis/stable-diffusion-v1-4"
 device = "cuda"
 
-pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True, revision="fp16", torch_dtype=torch.float16)
+pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=False, revision="fp16", torch_dtype=torch.float16)
 pipe = pipe.to(device)
-word_list_dataset = load_dataset("stabilityai/word-list", data_files="list.txt", use_auth_token=True)
+word_list_dataset = load_dataset("stabilityai/word-list", data_files="list.txt", use_auth_token=False)
 word_list = word_list_dataset["train"]['text']
 
 def infer(prompt, samples, steps, scale, seed):
@@ -257,7 +257,7 @@ with block:
 
         with gr.Row(elem_id="advanced-options"):
             samples = gr.Slider(label="Images", minimum=1, maximum=4, value=4, step=1)
-            steps = gr.Slider(label="Steps", minimum=1, maximum=50, value=45, step=1)
+            steps = gr.Slider(label="Steps", minimum=1, maximum=150, value=45, step=1)
             scale = gr.Slider(
                 label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1
             )