Revert "playgound with openai dependency 4"

This reverts commit ea351bb27704f8053d8dca1b9d9f32a073229d85.

modules/constants.py

@@ -1,6 +1,5 @@
 # as in k-diffusion (sampling.py)
 MIN_SEED = 0
 MAX_SEED = 2**63 - 1
-MAX_IMAGE_SIZE = 1024
 
 AUTH_FILENAME = 'auth.json'

webui.py

@@ -115,12 +115,6 @@ if torch.cuda.is_available():
 else:
     power_device = "CPU"
 
-examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
-    "A delicious ceviche cheesecake slice",
-]
-
 with shared.gradio_root:
     gr.Markdown(f"""# <center>zStudios Generative Media AI running on {power_device}</center>""")
     with gr.Tab("DALL-E"):
@@ -139,88 +133,6 @@ with shared.gradio_root:
         dalleText.submit(fn=inf.infer_dall_e, inputs=[dalleText, model, quality, size], outputs=output_image, api_name="infer_dall_e")
         dalleBtn.click(fn=inf.infer_dall_e, inputs=[dalleText, model, quality, size], outputs=output_image, api_name=False)
 
-    with gr.Tab("Stable Diffusion"):
-        with gr.Row():
-        
-            sdText = gr.Textbox(label="Prompt",
-                        placeholder="Enter your text and then click on the \"Run\" button, "
-                                    "or simply press the Enter key.")
-            
-            sdBtn = gr.Button("Run", scale=0)
-        
-        result = gr.Image(label="Image Output")
-
-        with gr.Accordion("Advanced Settings", open=False):
-            
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                visible=False,
-            )
-            
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=constants.MAX_SEED,
-                step=1,
-                value=0,
-            )
-            
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            
-            with gr.Row():
-                
-                width = gr.Slider(
-                    label="Width",
-                    minimum=256,
-                    maximum=constants.MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,
-                )
-                
-                height = gr.Slider(
-                    label="Height",
-                    minimum=256,
-                    maximum=constants.MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,
-                )
-            
-            with gr.Row():
-                
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=0.0,
-                )
-                
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=12,
-                    step=1,
-                    value=2,
-                )
-        
-        gr.Examples(
-            examples = examples,
-            inputs = [sdText]
-        )
-
-        sdText.submit(
-            fn=inf.infer_stable_diffusion, 
-            inputs=[sdText, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps], 
-            outputs=result, 
-            api_name="infer_stable_diffusion")
-        sdBtn.click(
-            fn = inf.infer_stable_diffusion,
-            inputs = [sdText, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-            outputs = [result]
-        )
-
     with gr.Tab("Fooocus"):
         args = ini_args()
         if args.api_mode: