Update blocks/inpainting.py

blocks/inpainting.py

@@ -24,7 +24,7 @@ class StableDiffusionInpaintGenerator:
         device = get_device()
         self.pipe = get_scheduler_list(pipe=self.pipe, scheduler=scheduler)
         self.pipe.to(device)
-        #self.pipe.enable_attention_slicing()
+        self.pipe.enable_attention_slicing()
         return self.pipe
 
     def generate_image(
@@ -33,7 +33,6 @@ class StableDiffusionInpaintGenerator:
         model_path: str,
         prompt: str,
         negative_prompt: str,
-        num_images_per_prompt: int,
         scheduler: str,
         guidance_scale: int,
         num_inference_step: int,
@@ -58,7 +57,7 @@ class StableDiffusionInpaintGenerator:
             image=image,
             mask_image=mask_image,
             negative_prompt=negative_prompt,
-            num_images_per_prompt=num_images_per_prompt,
+            num_images_per_prompt=1,
             num_inference_steps=num_inference_step,
             guidance_scale=guidance_scale,
             generator=generator,
@@ -83,7 +82,7 @@ class StableDiffusionInpaintGenerator:
 
                     stable_diffusion_inpaint_prompt = gr.Textbox(
                         lines=1,
-                        placeholder="Prompt",
+                        placeholder="Prompt, keywords that explains how you want to modify the image.",
                         show_label=False,
                         elem_id="prompt-text-input-inpainting",
                         value=''
@@ -91,7 +90,7 @@ class StableDiffusionInpaintGenerator:
 
                     stable_diffusion_inpaint_negative_prompt = gr.Textbox(
                         lines=1,
-                        placeholder="Negative Prompt",
+                        placeholder="Negative Prompt, keywords that describe what you don't want in your image",
                         show_label=False,
                         elem_id = "negative-prompt-text-input-inpainting",
                         value=''
@@ -109,6 +108,8 @@ class StableDiffusionInpaintGenerator:
                         lines=1,
                         placeholder="Generated Prompt",
                         show_label=False,
+                        info="Auto generated prompts for inspiration.",
+
                     )
 
                     stable_diffusion_inpaint_model_id = gr.Dropdown(
@@ -116,63 +117,62 @@ class StableDiffusionInpaintGenerator:
                         value=list(INPAINT_MODEL_LIST.keys())[0],
                         label="Inpaint Model Selection",
                         elem_id="model-dropdown-inpainting",
+                        info="Select the model you want to use for inpainting."
+                    )
+
+                    stable_diffusion_inpaint_scheduler = gr.Dropdown(
+                            choices=SCHEDULER_LIST,
+                            value=SCHEDULER_LIST[0],
+                            label="Scheduler",
+                            elem_id="scheduler-dropdown-inpainting",
+                            info="Scheduler list for models. Different schdulers result in different outputs."
+                    )
+
+
+                    stable_diffusion_inpaint_guidance_scale = gr.Slider(
+                        minimum=0.1,
+                        maximum=15,
+                        step=0.1,
+                        value=7.5,
+                        label="Guidance Scale",
+                        elem_id = "guidance-scale-slider-inpainting",
+                        info = "Guidance scale determines how much the prompt will affect the image. Higher the value, more the effect."
+
+                    )
+
+                    stable_diffusion_inpaint_num_inference_step = gr.Slider(
+                        minimum=1,
+                        maximum=100,
+                        step=1,
+                        value=50,
+                        label="Num Inference Step",
+                        elem_id = "num-inference-step-slider-inpainting",
+                        info = "Number of inference step determines the quality of the image. Higher the number, better the quality."
+
+                    )
+  
+                    stable_diffusion_inpaint_size = gr.Slider(
+                        minimum=128,
+                        maximum=1280,
+                        step=32,
+                        value=512,
+                        label="Image Size",
+                        elem_id="image-size-slider-inpainting",
+                        info = "Image size determines the height and width of the generated image. Higher the value, better the quality however slower the computation."
+
+                    )
+
+                    stable_diffusion_inpaint_seed_generator = gr.Slider(
+                        label="Seed(0 for random)",
+                        minimum=0,
+                        maximum=1000000,
+                        value=0,
+                        elem_id="seed-slider-inpainting",
+                        info="Set the seed to a specific value to reproduce the results."
                     )
-                    with gr.Row():
-                        with gr.Column():
-                            stable_diffusion_inpaint_guidance_scale = gr.Slider(
-                                minimum=0.1,
-                                maximum=15,
-                                step=0.1,
-                                value=7.5,
-                                label="Guidance Scale",
-                                elem_id = "guidance-scale-slider-inpainting"
-                            )
-
-                            stable_diffusion_inpaint_num_inference_step = gr.Slider(
-                                minimum=1,
-                                maximum=100,
-                                step=1,
-                                value=50,
-                                label="Num Inference Step",
-                                elem_id = "num-inference-step-slider-inpainting"
-                            )
-                            
-                            stable_diffusion_inpiant_num_images_per_prompt = gr.Slider(
-                                    minimum=1,
-                                    maximum=10,
-                                    step=1,
-                                    value=1,
-                                    label="Number Of Images",
-                                )
-
-                        with gr.Row():
-                            with gr.Column():
-                                stable_diffusion_inpaint_scheduler = gr.Dropdown(
-                                    choices=SCHEDULER_LIST,
-                                    value=SCHEDULER_LIST[0],
-                                    label="Scheduler",
-                                    elem_id="scheduler-dropdown-inpainting",
-                                )
-
-                                stable_diffusion_inpaint_size = gr.Slider(
-                                    minimum=128,
-                                    maximum=1280,
-                                    step=32,
-                                    value=512,
-                                    label="Image Size",
-                                    elem_id="image-size-slider-inpainting",
-                                )
-
-                                stable_diffusion_inpaint_seed_generator = gr.Slider(
-                                    label="Seed(0 for random)",
-                                    minimum=0,
-                                    maximum=1000000,
-                                    value=0,
-                                    elem_id="seed-slider-inpainting",
-                                )
 
                     stable_diffusion_inpaint_predict = gr.Button(
-                        value="Generator"
+                        value="Generate image"
                     )
                 
                 with gr.Column():
@@ -189,6 +189,18 @@ class StableDiffusionInpaintGenerator:
                             loading_icon = gr.HTML(loading_icon_html)
                             share_button = gr.Button("Save artwork", elem_id="share-btn-inpainting")
 
+                    gr.HTML(
+                        """
+                        <div id="model-description-img2img">
+                            <h3>Inpainting Models</h3>
+                            <p>Inpainting models will take a masked image and modify the masked image with the given prompt.</p>
+                            <p>Prompt should describe how you want to modify the image. For example, if you want to modify the image to have a blue sky, you can use the prompt "sky is blue".</p>
+                            <p>Negative prompt should describe what you don't want in your image. For example, if you don't want the image to have a red sky, you can use the negative prompt "sky is red".</p>
+                            <hr>
+                            <p>Stable Diffusion 1 & 2: Default model for many tasks. </p>
+                            </div>
+                        """
+                    )
             stable_diffusion_inpaint_predict.click(
                 fn=StableDiffusionInpaintGenerator().generate_image,
                 inputs=[
@@ -196,7 +208,6 @@ class StableDiffusionInpaintGenerator:
                     stable_diffusion_inpaint_model_id,
                     stable_diffusion_inpaint_prompt,
                     stable_diffusion_inpaint_negative_prompt,
-                    stable_diffusion_inpiant_num_images_per_prompt,
                     stable_diffusion_inpaint_scheduler,
                     stable_diffusion_inpaint_guidance_scale,
                     stable_diffusion_inpaint_num_inference_step,