Update blocks/img2img.py

blocks/img2img.py

@@ -8,11 +8,13 @@ from PIL import Image
 from .download import get_share_js, get_community_loading_icon, CSS
 
 IMG2IMG_MODEL_LIST = {
+    "OpenJourney v4" : "prompthero/openjourney-v4",
     "StableDiffusion 1.5" : "runwayml/stable-diffusion-v1-5",
     "StableDiffusion 2.1" : "stabilityai/stable-diffusion-2-1",
-    "OpenJourney v4" : "prompthero/openjourney-v4",
     "DreamLike 1.0" : "dreamlike-art/dreamlike-diffusion-1.0",
-    "DreamLike 2.0" : "dreamlike-art/dreamlike-photoreal-2.0"
+    "DreamLike 2.0" : "dreamlike-art/dreamlike-photoreal-2.0",
+    "DreamShaper" : "Lykon/DreamShaper",
+    "NeverEnding-Dream" : "Lykon/NeverEnding-Dream"
 }
 
 class StableDiffusionImage2ImageGenerator:
@@ -30,7 +32,7 @@ class StableDiffusionImage2ImageGenerator:
         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
 
@@ -40,7 +42,6 @@ class StableDiffusionImage2ImageGenerator:
         model_path: str,
         prompt: str,
         negative_prompt: str,
-        num_images_per_prompt: int,
         scheduler: str,
         guidance_scale: int,
         num_inference_step: int,
@@ -62,7 +63,7 @@ class StableDiffusionImage2ImageGenerator:
             prompt,
             image=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,
@@ -81,7 +82,7 @@ class StableDiffusionImage2ImageGenerator:
 
                     image2image_prompt = gr.Textbox(
                         lines=1,
-                        placeholder="Prompt",
+                        placeholder="Prompt, keywords that describe the changes you want to apply to your image",
                         show_label=False,
                         elem_id="prompt-text-input-img2img",
                         value=''
@@ -89,7 +90,7 @@ class StableDiffusionImage2ImageGenerator:
 
                     image2image_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-img2img",
                         value=''
@@ -107,60 +108,56 @@ class StableDiffusionImage2ImageGenerator:
                     image2image_generated_prompt = gr.Textbox(
                         lines=1,
                         placeholder="Generated Prompt",
-                        show_label=False,
+                        label = "Generated Prompt",
+                        show_label=True,
+                        info="Auto generated prompts for inspiration.",
+                    )
+                    image2image_model_path = gr.Dropdown(
+                        choices=list(IMG2IMG_MODEL_LIST.keys()),
+                        value=list(IMG2IMG_MODEL_LIST.keys())[0],
+                        label="Imaget2Image Model Selection",
+                        elem_id="model-dropdown-img2img",
+                        info="Select the model you want to use for image2image generation."
+                    )
+                    image2image_scheduler = gr.Dropdown(
+                        choices=SCHEDULER_LIST,
+                        value=SCHEDULER_LIST[0],
+                        label="Scheduler",
+                        elem_id="scheduler-dropdown-img2img",
+                        info="Scheduler list for models. Different schdulers result in different outputs."
                     )
 
-                    with gr.Row():
-                        with gr.Column():
-                            image2image_model_path = gr.Dropdown(
-                                choices=list(IMG2IMG_MODEL_LIST.keys()),
-                                value=list(IMG2IMG_MODEL_LIST.keys())[0],
-                                label="Imaget2Image Model Selection",
-                                elem_id="model-dropdown-img2img",
-                            )
-
-                            image2image_guidance_scale = gr.Slider(
-                                minimum=0.1,
-                                maximum=15,
-                                step=0.1,
-                                value=7.5,
-                                label="Guidance Scale",
-                                elem_id = "guidance-scale-slider-img2img"
-                            )
-
-                            image2image_num_inference_step = gr.Slider(
-                                minimum=1,
-                                maximum=100,
-                                step=1,
-                                value=50,
-                                label="Num Inference Step",
-                                elem_id = "num-inference-step-slider-img2img"
-                            )
-                        with gr.Row():
-                            with gr.Column():
-                                image2image_scheduler = gr.Dropdown(
-                                    choices=SCHEDULER_LIST,
-                                    value=SCHEDULER_LIST[0],
-                                    label="Scheduler",
-                                    elem_id="scheduler-dropdown-img2img",
-                                )
-                                image2image_num_images_per_prompt = gr.Slider(
-                                    minimum=1,
-                                    maximum=30,
-                                    step=1,
-                                    value=1,
-                                    label="Number Of Images",
-                                )
-
-                                image2image_seed_generator = gr.Slider(
-                                    label="Seed(0 for random)",
-                                    minimum=0,
-                                    maximum=1000000,
-                                    value=0,
-                                    elem_id="seed-slider-img2img",
-                                )
-
-                    image2image_predict_button = gr.Button(value="Generator")
+                    image2image_seed_generator = gr.Slider(
+                        label="Seed(0 for random)",
+                        minimum=0,
+                        maximum=1000000,
+                        value=0,
+                        elem_id="seed-slider-img2img",
+                        info="Set the seed to a specific value to reproduce the results."
+                    )
+
+
+                    image2image_guidance_scale = gr.Slider(
+                        minimum=0.1,
+                        maximum=15,
+                        step=0.1,
+                        value=7.5,
+                        label="Guidance Scale",
+                        elem_id = "guidance-scale-slider-img2img",
+                        info = "Guidance scale determines how much the prompt will affect the image. Higher the value, more the effect."
+                        )
+
+                    image2image_num_inference_step = gr.Slider(
+                        minimum=1,
+                        maximum=100,
+                        step=1,
+                        value=50,
+                        label="Num Inference Step",
+                        elem_id = "num-inference-step-slider-img2img",
+                        info = "Number of inference step determines the quality of the image. Higher the number, better the quality."
+                    )
+
+                    image2image_predict_button = gr.Button(value="Generate image")
 
                 with gr.Column():
                     output_image = gr.Gallery(
@@ -176,6 +173,21 @@ class StableDiffusionImage2ImageGenerator:
                             loading_icon = gr.HTML(loading_icon_html)
                             share_button = gr.Button("Save artwork", elem_id="share-btn-img2img")
 
+                    # Create an html for describing the models
+                    gr.HTML(
+                        """
+                        <div id="model-description-img2img">
+                            <h3>Image2Image Models</h3>
+                            <p>Image2Image models are trained to generate images from a given prompt. The prompt should specify what to change in general for the provided image.</p>
+                            <p>For example with a butterfly image, the prompt can be "blue butterfly".</p>
+                            <p>Negative prompt can be used to specify what not to change in the image. For example, with the butterfly image, the negative prompt can be "dark blue, blurry image".</p>
+                            <hr>
+                            <p>Stable Diffusion 1.5 & 2.1: Default model for many tasks. </p>
+                            <p>OpenJourney v4: Generates fantasy themed images similar to the Midjourney model. </p>
+                            <p>Dreamlike Photoreal 1.0 & 2.0 is SD 1.5 that generates realistic images. </p>
+                            </div>
+                        """
+                    )
             image2image_predict_button.click(
                 fn=StableDiffusionImage2ImageGenerator().generate_image,
                 inputs=[
@@ -183,7 +195,6 @@ class StableDiffusionImage2ImageGenerator:
                     image2image_model_path,
                     image2image_prompt,
                     image2image_negative_prompt,
-                    image2image_num_images_per_prompt,
                     image2image_scheduler,
                     image2image_guidance_scale,
                     image2image_num_inference_step,