ABDALLALSWAITI commited on
Commit
a0c2904
1 Parent(s): 6c28935

Upload folder using huggingface_hub

Browse files
.github/workflows/update_space.yml ADDED
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+ name: Run Python script
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+
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+ on:
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+ push:
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+ branches:
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+ - main
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+
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+ jobs:
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+ build:
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+ runs-on: ubuntu-latest
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+
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+ steps:
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+ - name: Checkout
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+ uses: actions/checkout@v2
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+
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+ - name: Set up Python
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+ uses: actions/setup-python@v2
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+ with:
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+ python-version: '3.9'
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+
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+ - name: Install Gradio
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+ run: python -m pip install gradio
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+
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+ - name: Log in to Hugging Face
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+ run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")'
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+
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+ - name: Deploy to Spaces
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+ run: gradio deploy
DAVINCIDIFFtextgardio.py ADDED
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+ import torch
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+ from diffusers import StableDiffusionXLPipeline, AutoencoderTiny
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+ import os
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+ import json
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+ import google.generativeai as genai
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+ import gradio as gr
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+ import random
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+
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+ art_styles = [
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+ "Impressionism", "Surrealism", "Cubism", "Abstract", "Realism", "Expressionism",
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+ "Pop Art", "Futurism", "Minimalism", "Conceptual Art", "Baroque", "Renaissance",
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+ "Gothic", "Neoclassicism", "Romanticism", "Art Nouveau", "Art Deco", "Post-Impressionism"
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+ ]
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+
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+ artists = [
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+ "Pablo Picasso", "Vincent van Gogh", "Leonardo da Vinci", "Claude Monet", "Salvador Dalí",
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+ "Frida Kahlo", "Rembrandt", "Michelangelo", "Andy Warhol", "Jackson Pollock",
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+ "Georgia O'Keeffe", "Edvard Munch", "Henri Matisse", "Paul Cézanne", "Gustav Klimt",
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+ "Caravaggio", "Jean-Michel Basquiat", "Raphael", "Auguste Rodin", "Yayoi Kusama"
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+ ]
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+
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+ light_effects = [
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+ "soft lighting", "dramatic lighting", "rim lighting", "ambient lighting", "studio lighting",
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+ "natural light", "backlighting", "side lighting", "low-key lighting", "high-key lighting"
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+ ]
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+
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+ depth_effects = [
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+ "shallow depth of field", "deep depth of field", "foreground focus", "background blur",
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+ "bokeh effect", "layered depth", "aerial perspective", "overlapping elements", "linear perspective",
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+ "vanishing point"
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+ ]
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+
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+ # Function to save the Gemini API key
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+ def save_gemini_api_key(api_key):
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+ with open("gemini_api_key.json", "w") as f:
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+ json.dump({"api_key": api_key}, f)
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+
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+ # Function to load the Gemini API key
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+ def load_gemini_api_key():
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+ try:
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+ with open("gemini_api_key.json", "r") as f:
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+ data = json.load(f)
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+ return data.get("api_key", "")
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+ except FileNotFoundError:
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+ return ""
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+
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+ # Function to delete the Gemini API key
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+ def delete_gemini_api_key():
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+ try:
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+ if os.path.exists("gemini_api_key.json"):
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+ os.remove("gemini_api_key.json")
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+ except Exception as e:
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+ print(f"Error deleting Gemini API key: {e}")
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+
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+ # Function to enhance prompt using Gemini's API with specific instructions
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+ def enhance_prompt_with_gemini(prompt, api_key):
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+ try:
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+ if api_key:
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+ genai.configure(api_key=api_key)
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+
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+ # Construct the specific instruction prompt
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+ instruction = f"You are Professor of creating a prompt for Stable Diffusion to generate an image. Write the phrases for art styles, art movements, artists names, light and depth effects for this {prompt}. Make this prompt the best ever, only response with prompt itself in one paragraph."
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+
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+ # Generate content using Gemini API with the instruction prompt
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+ model = genai.GenerativeModel('gemini-1.5-pro')
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+ response = model.generate_content(instruction)
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+ enhanced_prompt = response.text.strip()
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+ return enhanced_prompt
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+ else:
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+ return prompt
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+ except Exception as e:
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+ print(f"Failed to enhance prompt with Gemini API: {e}")
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+ return prompt # Fallback to original prompt on error
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+
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+ # Function to generate images based on user input
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+ def generate_image(prompt, negative_prompt, cfg_scale, steps, width, height, seed, art_style, artist, light_effect, depth_effect, api_key):
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+ queue = []
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+ additional_prompts = f"{art_style}, {artist}, {light_effect}, {depth_effect}"
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+ full_prompt = f"{prompt}, {additional_prompts}"
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+ enhanced_prompt = enhance_prompt_with_gemini(full_prompt, api_key)
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+
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+ # Generate a random seed if not provided
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+ if seed is None or seed == "":
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+ seed = random.randint(0, 2**32 - 1)
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+
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+ print("\nStarting image generation with the following parameters:")
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+ print(f"Enhanced Prompt: {enhanced_prompt}")
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+ print(f"Negative Prompt: {negative_prompt}")
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+ print(f"CFG Scale: {cfg_scale}")
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+ print(f"Steps: {steps}")
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+ print(f"Width: {width}")
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+ print(f"Height: {height}")
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+ print(f"Seed: {seed}")
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+
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+ queue.append({
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+ 'prompt': enhanced_prompt,
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+ 'negative_prompt': negative_prompt,
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+ 'cfg_scale': cfg_scale,
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+ 'steps': steps,
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+ 'width': width,
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+ 'height': height,
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+ 'seed': seed,
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+ })
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+
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+ vae = AutoencoderTiny.from_pretrained(
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+ 'madebyollin/taesdxl',
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+ use_safetensors=True,
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+ torch_dtype=torch.float16,
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+ ).to('cpu')
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+
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+ pipe = StableDiffusionXLPipeline.from_pretrained(
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+ 'ABDALLALSWAITI/DAVINCI-DIFF',
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+ torch_dtype=torch.float16,
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+ use_safetensors=True,
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+ vae=vae
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+ ).to('cuda')
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+
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+ generator = torch.manual_seed(seed)
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+
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+ image = pipe(
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+ prompt=enhanced_prompt,
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+ negative_prompt=negative_prompt,
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+ height=height,
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+ width=width,
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+ num_inference_steps=steps,
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+ guidance_scale=cfg_scale,
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+ generator=generator,
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+ output_type="pil",
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+ ).images[0]
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+
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+ return image
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+
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+ # Gradio Blocks interface
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+ api_key = load_gemini_api_key()
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+
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+ def on_submit(prompt, negative_prompt, cfg_scale, steps, width, height, seed, art_style, artist, light_effect, depth_effect, api_key):
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+ return generate_image(prompt, negative_prompt, cfg_scale, steps, width, height, seed, art_style, artist, light_effect, depth_effect, api_key)
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+
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+ with gr.Blocks() as interface:
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+ gr.Markdown("# Image Generation with Stable Diffusion")
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+
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+ with gr.Row():
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+ prompt = gr.Textbox(label="Prompt", value="3/4 shot, candid photograph of a beautiful 30 year old redhead woman with messy dark hair, peacefully sleeping in her bed, night, dark, light from window, dark shadows, masterpiece, uhd, moody")
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+ negative_prompt = gr.Textbox(label="Negative Prompt", value="")
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+
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+ with gr.Row():
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+ cfg_scale = gr.Number(label="CFG Scale", value=7.5)
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+ steps = gr.Number(label="Steps", value=50)
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+
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+ with gr.Row():
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+ width = gr.Number(label="Image Width", value=1024)
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+ height = gr.Number(label="Image Height", value=1024)
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+
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+ seed = gr.Number(label="Seed (leave empty for random seed)", value=None)
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+
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+ with gr.Row():
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+ art_style = gr.Dropdown(label="Art Style", choices=art_styles, value="Impressionism")
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+ artist = gr.Dropdown(label="Artist", choices=artists, value="Vincent van Gogh")
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+
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+ with gr.Row():
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+ light_effect = gr.Dropdown(label="Light Effect", choices=light_effects, value="soft lighting")
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+ depth_effect = gr.Dropdown(label="Depth Effect", choices=depth_effects, value="shallow depth of field")
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+
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+ api_key = gr.Textbox(label="Gemini API Key", type="password", placeholder="Enter Gemini API Key (optional)")
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+
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+ generate_btn = gr.Button("Generate Image")
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+ output_image = gr.Image(label="Generated Image")
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+
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+ generate_btn.click(
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+ on_submit,
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+ inputs=[prompt, negative_prompt, cfg_scale, steps, width, height, seed, art_style, artist, light_effect, depth_effect, api_key],
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+ outputs=output_image
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+ )
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+
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+ interface.launch(share=True)
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+
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+ def on_session_end(session):
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+ delete_gemini_api_key()
README.md CHANGED
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  ---
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  title: Davinci
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- emoji: 📈
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- colorFrom: green
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- colorTo: yellow
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  sdk: gradio
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  sdk_version: 4.38.1
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- app_file: app.py
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- pinned: false
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  ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  ---
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  title: Davinci
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+ app_file: DAVINCIDIFFtextgardio.py
 
 
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  sdk: gradio
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  sdk_version: 4.38.1
 
 
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  ---
 
 
requirements.txt ADDED
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+ torch, diffusers, google.generativeai, gradio, random