Duplicate from ysharma/InstructPix2Pix_Chatbot

Co-authored-by: yuvraj sharma <ysharma@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,14 @@
+---
+title: InstructPix2Pix Chatbot
+emoji: ⚡
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 3.16.2
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: ysharma/InstructPix2Pix_Chatbot
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,112 @@
+import PIL
+import requests
+import torch
+import gradio as gr
+import random
+from PIL import Image
+import os
+import time
+from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
+
+#Loading from Diffusers Library
+model_id = "timbrooks/instruct-pix2pix"
+pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id, torch_dtype=torch.float16, revision="fp16") #, safety_checker=None)
+pipe.to("cuda")
+pipe.enable_attention_slicing()
+
+counter = 0
+
+
+help_text = """ Note: Functionality to revert your changes to previous/original image can be released in future versions. For now only forward editing is available.
+
+Some notes from the official [instruct-pix2pix](https://huggingface.co/spaces/timbrooks/instruct-pix2pix) Space by the authors  
+and from the official [Diffusers docs](https://huggingface.co/docs/diffusers/main/en/api/pipelines/stable_diffusion/pix2pix) -
+
+If you're not getting what you want, there may be a few reasons:
+1. Is the image not changing enough? Your guidance_scale may be too low. It should be >1. Higher guidance scale encourages to generate images 
+that are closely linked to the text `prompt`, usually at the expense of lower image quality. This value dictates how similar the output should 
+be to the input. This pipeline requires a value of at least `1`. It's possible your edit requires larger changes from the original image. 
+                
+2. Alternatively, you can toggle image_guidance_scale. Image guidance scale is to push the generated image towards the inital image. Image guidance 
+                scale is enabled by setting `image_guidance_scale > 1`. Higher image guidance scale encourages to generate images that are closely 
+                linked to the source image `image`, usually at the expense of lower image quality.  
+
+3. I have observed that rephrasing the instruction sometimes improves results (e.g., "turn him into a dog" vs. "make him a dog" vs. "as a dog").
+
+4. Increasing the number of steps sometimes improves results.
+
+5. Do faces look weird? The Stable Diffusion autoencoder has a hard time with faces that are small in the image. Try:
+    * Cropping the image so the face takes up a larger portion of the frame.
+"""
+
+def chat(image_in, in_steps, in_guidance_scale, in_img_guidance_scale, image_hid, img_name, counter_out, prompt, history, progress=gr.Progress(track_tqdm=True)):
+    progress(0, desc="Starting...")
+    #if message == "revert": --to add revert functionality later
+    if counter_out > 0:
+      edited_image = pipe(prompt, image=image_hid, num_inference_steps=int(in_steps), guidance_scale=float(in_guidance_scale), image_guidance_scale=float(in_img_guidance_scale)).images[0]
+      if os.path.exists(img_name):
+        os.remove(img_name)
+      temp_img_name = img_name[:-4]+str(int(time.time()))+'.png' 
+      # Create a file-like object
+      with open(temp_img_name, "wb") as fp:
+        # Save the image to the file-like object
+        edited_image.save(fp)
+      #Get the name of the saved image
+      saved_image_name = fp.name
+      #edited_image.save(temp_img_name) #, overwrite=True)
+      counter_out += 1
+    else:
+      seed = random.randint(0, 1000000)
+      img_name = f"./edited_image_{seed}.png"
+      edited_image = pipe(prompt, image=image_in, num_inference_steps=int(in_steps), guidance_scale=float(in_guidance_scale), image_guidance_scale=float(in_img_guidance_scale)).images[0]
+      if os.path.exists(img_name):
+        os.remove(img_name)
+      with open(img_name, "wb") as fp:
+        # Save the image to the file-like object
+        edited_image.save(fp)
+      #Get the name of the saved image
+      saved_image_name2 = fp.name
+    history = history or []
+    #Resizing (or not) the image for better display and adding supportive sample text
+    add_text_list = ["There you go", "Enjoy your image!", "Nice work! Wonder what you gonna do next!", "Way to go!", "Does this work for you?", "Something like this?"]
+    if counter_out > 0:
+        response = random.choice(add_text_list) + '<img src="/file=' + saved_image_name + '">'  
+        history.append((prompt, response))
+        return history, history, edited_image, temp_img_name, counter_out
+    else:
+        response = random.choice(add_text_list) + '<img src="/file=' + saved_image_name2 + '">'   #IMG_NAME
+        history.append((prompt, response))
+        counter_out += 1
+        return history, history, edited_image, img_name, counter_out
+        
+
+with gr.Blocks() as demo:
+    gr.Markdown("""<h1><center> Chat Interface with InstructPix2Pix: Give Image Editing Instructions</h1></center>
+    <p>For faster inference without waiting in the queue, you may duplicate the space and upgrade to GPU in settings.<br/>
+    <a href="https://huggingface.co/spaces/ysharma/InstructPix2Pix_Chatbot?duplicate=true">
+    <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
+    **Note: Please be advised that a safety checker has been implemented in this public space. 
+    Any attempts to generate inappropriate or NSFW images will result in the display of a black screen 
+    as a precautionary measure for the protection of all users. We appreciate your cooperation in 
+    maintaining a safe and appropriate environment for all members of our community.**
+    <p/>""")
+    with gr.Row():
+      with gr.Column():
+        image_in = gr.Image(type='pil', label="Original Image")
+        text_in = gr.Textbox()
+        state_in = gr.State()
+        b1 = gr.Button('Edit the image!')
+        with gr.Accordion("Advance settings for Training and Inference", open=False):
+          gr.Markdown("Advance settings for - Number of Inference steps, Guidanace scale, and Image guidance scale.")
+          in_steps = gr.Number(label="Enter the number of Inference steps", value = 20)
+          in_guidance_scale = gr.Slider(1,10, step=0.5, label="Set Guidance scale", value=7.5)
+          in_img_guidance_scale = gr.Slider(1,10, step=0.5, label="Set Image Guidance scale", value=1.5)
+          image_hid = gr.Image(type='pil', visible=False)
+          img_name_temp_out = gr.Textbox(visible=False)
+          counter_out = gr.Number(visible=False, value=0, precision=0)
+      chatbot = gr.Chatbot() 
+    b1.click(chat,[image_in, in_steps, in_guidance_scale, in_img_guidance_scale, image_hid, img_name_temp_out,counter_out,  text_in, state_in], [chatbot, state_in, image_hid, img_name_temp_out, counter_out]) #, queue=True)
+    gr.Markdown(help_text)
+    
+demo.queue(concurrency_count=10)
+demo.launch(debug=True, width="80%", height=2000)

requirements.txt

@@ -0,0 +1,4 @@
+git+https://github.com/huggingface/diffusers.git
+transformers
+accelerate
+safetensors