Delete back.py

back.py

@@ -1,476 +0,0 @@
-import gradio as gr
-import requests
-import io
-import random
-import os
-from PIL import Image
-import json
-
-# Get API token from environment variable 
-HF_TOKEN = os.getenv("HF_TOKEN")
-if not HF_TOKEN:
-    raise ValueError("HF_TOKEN environment variable is not set")
-
-def query(prompt, model, custom_lora, is_negative=False, steps=35, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024):
-    print("Starting query function...")
-    
-    if not prompt:
-        raise gr.Error("Prompt cannot be empty")
-
-    # Set headers with API token
-    headers = {"Authorization": f"Bearer {HF_TOKEN}"}
-    
-    # Generate a unique key for tracking
-    key = random.randint(0, 999)
-    
-    # Enhance prompt
-    prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
-    print(f'Generation {key}: {prompt}')
-
-    try:
-        # Set API URL based on model selection
-        if custom_lora.strip():
-            API_URL = f"https://api-inference.huggingface.co/models/{custom_lora.strip()}"
-        else:
-            if model == 'Stable Diffusion XL':
-                API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
-            elif model == 'FLUX.1 [Dev]':
-                API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
-            elif model == 'FLUX.1 [Schnell]':
-                API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
-            elif model == 'Flux Logo Design':
-                API_URL = "https://api-inference.huggingface.co/models/Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design"
-                prompt = f"wablogo, logo, Minimalist, {prompt}"
-            elif model == 'Flux Uncensored':
-                API_URL = "https://api-inference.huggingface.co/models/enhanceaiteam/Flux-uncensored"
-            elif model == 'Flux Uncensored V2':
-                API_URL = "https://api-inference.huggingface.co/models/enhanceaiteam/Flux-Uncensored-V2"
-            elif model == 'Flux Tarot Cards':
-                API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Ton618-Tarot-Cards-Flux-LoRA"
-                prompt = f"Tarot card, {prompt}"
-            elif model == 'Pixel Art Sprites':
-                API_URL = "https://api-inference.huggingface.co/models/sWizad/pokemon-trainer-sprites-pixelart-flux"
-                prompt = f"a pixel image, {prompt}"
-            elif model == '3D Sketchfab':
-                API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Castor-3D-Sketchfab-Flux-LoRA"
-                prompt = f"3D Sketchfab, {prompt}"
-            elif model == 'Retro Comic Flux':
-                API_URL = "https://api-inference.huggingface.co/models/renderartist/retrocomicflux"
-                prompt = f"c0m1c, comic book panel, {prompt}"
-            elif model == 'Caricature':
-                API_URL = "https://api-inference.huggingface.co/models/TheAwakenOne/caricature"
-                prompt = f"CCTUR3, {prompt}"
-            elif model == 'Huggieverse':
-                API_URL = "https://api-inference.huggingface.co/models/Chunte/flux-lora-Huggieverse"
-                prompt = f"HGGRE, {prompt}"
-            elif model == 'Propaganda Poster':
-                API_URL = "https://api-inference.huggingface.co/models/AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion"
-                prompt = f"propaganda poster, {prompt}"
-            elif model == 'Flux Game Assets V2':
-                API_URL = "https://api-inference.huggingface.co/models/gokaygokay/Flux-Game-Assets-LoRA-v2"
-                prompt = f"wbgmsst, white background, {prompt}"
-            elif model == 'SoftPasty Flux':
-                API_URL = "https://api-inference.huggingface.co/models/alvdansen/softpasty-flux-dev"
-                prompt = f"araminta_illus illustration style, {prompt}"
-            elif model == 'Flux Stickers':
-                API_URL = "https://api-inference.huggingface.co/models/diabolic6045/Flux_Sticker_Lora"
-                prompt = f"5t1cker 5ty1e, {prompt}"
-            elif model == 'Flux Animex V2':
-                API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Animex-v2-LoRA"
-                prompt = f"Animex, {prompt}"
-            elif model == 'Flux Animeo V1':
-                API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Animeo-v1-LoRA"
-                prompt = f"Animeo, {prompt}"
-            elif model == 'Movie Board':
-                API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux.1-Dev-Movie-Boards-LoRA"
-                prompt = f"movieboard, {prompt}"
-            elif model == 'Purple Dreamy':
-                API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Purple-Dreamy-Flux-LoRA"
-                prompt = f"Purple Dreamy, {prompt}"
-            elif model == 'PS1 Style Flux':
-                API_URL = "https://api-inference.huggingface.co/models/veryVANYA/ps1-style-flux"
-                prompt = f"ps1 game screenshot, {prompt}"
-            elif model == 'Softserve Anime':
-                API_URL = "https://api-inference.huggingface.co/models/alvdansen/softserve_anime"
-                prompt = f"sftsrv style illustration, {prompt}"
-            elif model == 'Flux Tarot v1':
-                API_URL = "https://api-inference.huggingface.co/models/multimodalart/flux-tarot-v1"
-                prompt = f"in the style of TOK a trtcrd tarot style, {prompt}"
-            elif model == 'Half Illustration':
-                API_URL = "https://api-inference.huggingface.co/models/davisbro/half_illustration"
-                prompt = f"in the style of TOK, {prompt}"
-            elif model == 'OpenDalle v1.1':
-                API_URL = "https://api-inference.huggingface.co/models/dataautogpt3/OpenDalleV1.1"
-            elif model == 'Flux Ghibsky Illustration':
-                API_URL = "https://api-inference.huggingface.co/models/aleksa-codes/flux-ghibsky-illustration"
-                prompt = f"GHIBSKY style, {prompt}"
-            elif model == 'Flux Koda':
-                API_URL = "https://api-inference.huggingface.co/models/alvdansen/flux-koda"
-                prompt = f"flmft style, {prompt}"
-            elif model == 'Soviet Diffusion XL':
-                API_URL = "https://api-inference.huggingface.co/models/openskyml/soviet-diffusion-xl"
-                prompt = f"soviet poster, {prompt}"
-            elif model == 'Flux Realism LoRA':
-                API_URL = "https://api-inference.huggingface.co/models/XLabs-AI/flux-RealismLora"
-            elif model == 'Frosting Lane Flux':
-                API_URL = "https://api-inference.huggingface.co/models/alvdansen/frosting_lane_flux"
-                prompt = f"frstingln illustration, {prompt}"
-            elif model == 'Phantasma Anime':
-                API_URL = "https://api-inference.huggingface.co/models/alvdansen/phantasma-anime"
-            elif model == 'Boreal':
-                API_URL = "https://api-inference.huggingface.co/models/kudzueye/Boreal"
-                prompt = f"photo, {prompt}"
-            elif model == 'How2Draw':
-                API_URL = "https://api-inference.huggingface.co/models/glif/how2draw"
-                prompt = f"How2Draw, {prompt}"
-            elif model == 'Flux AestheticAnime':
-                API_URL = "https://api-inference.huggingface.co/models/dataautogpt3/FLUX-AestheticAnime"
-            elif model == 'Fashion Hut Modeling LoRA':
-                API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Fashion-Hut-Modeling-LoRA"
-                prompt = f"Modeling of, {prompt}"
-            elif model == 'Flux SyntheticAnime':
-                API_URL = "https://api-inference.huggingface.co/models/dataautogpt3/FLUX-SyntheticAnime"
-                prompt = f"1980s anime screengrab, VHS quality, syntheticanime, {prompt}"
-            elif model == 'Flux Midjourney Anime':
-                API_URL = "https://api-inference.huggingface.co/models/brushpenbob/flux-midjourney-anime"
-                prompt = f"egmid, {prompt}"
-            elif model == 'Coloring Book Generator':
-                API_URL = "https://api-inference.huggingface.co/models/robert123231/coloringbookgenerator"
-            elif model == 'Collage Flux':
-                API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Castor-Collage-Dim-Flux-LoRA"
-                prompt = f"collage, {prompt}"
-            elif model == 'Flux Product Ad Backdrop':
-                API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Product-Ad-Backdrop"
-                prompt = f"Product Ad, {prompt}"
-            elif model == 'Product Design':
-                API_URL = "https://api-inference.huggingface.co/models/multimodalart/product-design"
-                prompt = f"product designed by prdsgn, {prompt}"
-            elif model == '90s Anime Art':
-                API_URL = "https://api-inference.huggingface.co/models/glif/90s-anime-art"
-            elif model == 'Brain Melt Acid Art':
-                API_URL = "https://api-inference.huggingface.co/models/glif/Brain-Melt-Acid-Art"
-                prompt = f"maximalism, in an acid surrealism style, {prompt}"
-            elif model == 'Lustly Flux Uncensored v1':
-                API_URL = "https://api-inference.huggingface.co/models/lustlyai/Flux_Lustly.ai_Uncensored_nsfw_v1"
-            elif model == 'NSFW Master Flux':
-                API_URL = "https://api-inference.huggingface.co/models/Keltezaa/NSFW_MASTER_FLUX"
-                prompt = f"NSFW, {prompt}"
-            elif model == 'Flux Outfit Generator':
-                API_URL = "https://api-inference.huggingface.co/models/tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator"
-            elif model == 'Midjourney':
-                API_URL = "https://api-inference.huggingface.co/models/Jovie/Midjourney"
-            elif model == 'DreamPhotoGASM':
-                API_URL = "https://api-inference.huggingface.co/models/Yntec/DreamPhotoGASM"
-            elif model == 'Flux Super Realism LoRA':
-                API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Super-Realism-LoRA"
-            elif model == 'Stable Diffusion 2-1':
-                API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1-base"
-            elif model == 'Stable Diffusion 3.5 Large':
-                API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large"
-            elif model == 'Stable Diffusion 3.5 Large Turbo':
-                API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large-turbo"
-            elif model == 'Stable Diffusion 3 Medium':
-                API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3-medium-diffusers"
-                prompt = f"A, {prompt}"
-            elif model == 'Duchaiten Real3D NSFW XL':
-                API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/duchaiten-real3d-nsfw-xl"
-            elif model == 'Pixel Art XL':
-                API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl"
-                prompt = f"pixel art, {prompt}"
-            elif model == 'Character Design':
-                API_URL = "https://api-inference.huggingface.co/models/KappaNeuro/character-design"
-                prompt = f"Character Design, {prompt}"
-            elif model == 'Sketched Out Manga':
-                API_URL = "https://api-inference.huggingface.co/models/alvdansen/sketchedoutmanga"
-                prompt = f"daiton, {prompt}"
-            elif model == 'Archfey Anime':
-                API_URL = "https://api-inference.huggingface.co/models/alvdansen/archfey_anime"
-            elif model == 'Lofi Cuties':
-                API_URL = "https://api-inference.huggingface.co/models/alvdansen/lofi-cuties"
-            elif model == 'YiffyMix':
-                API_URL = "https://api-inference.huggingface.co/models/Yntec/YiffyMix"
-            elif model == 'Analog Madness Realistic v7':
-                API_URL = "https://api-inference.huggingface.co/models/digiplay/AnalogMadness-realistic-model-v7"
-            elif model == 'Selfie Photography':
-                API_URL = "https://api-inference.huggingface.co/models/artificialguybr/selfiephotographyredmond-selfie-photography-lora-for-sdxl"
-                prompt = f"instagram model, discord profile picture, {prompt}"
-            elif model == 'Filmgrain':
-                API_URL = "https://api-inference.huggingface.co/models/artificialguybr/filmgrain-redmond-filmgrain-lora-for-sdxl"
-                prompt = f"Film Grain, FilmGrainAF, {prompt}"
-            elif model == 'Leonardo AI Style Illustration':
-                API_URL = "https://api-inference.huggingface.co/models/goofyai/Leonardo_Ai_Style_Illustration"
-                prompt = f"leonardo style, illustration, vector art, {prompt}"
-            elif model == 'Cyborg Style XL':
-                API_URL = "https://api-inference.huggingface.co/models/goofyai/cyborg_style_xl"
-                prompt = f"cyborg style, {prompt}"
-            elif model == 'Little Tinies':
-                API_URL = "https://api-inference.huggingface.co/models/alvdansen/littletinies"
-            elif model == 'NSFW XL':
-                API_URL = "https://api-inference.huggingface.co/models/Dremmar/nsfw-xl"
-            elif model == 'Analog Redmond':
-                API_URL = "https://api-inference.huggingface.co/models/artificialguybr/analogredmond"
-                prompt = f"timeless style, {prompt}"
-            elif model == 'Pixel Art Redmond':
-                API_URL = "https://api-inference.huggingface.co/models/artificialguybr/PixelArtRedmond"
-                prompt = f"Pixel Art, {prompt}"
-            elif model == 'Ascii Art':
-                API_URL = "https://api-inference.huggingface.co/models/CiroN2022/ascii-art"
-                prompt = f"ascii art, {prompt}"
-            elif model == 'Analog':
-                API_URL = "https://api-inference.huggingface.co/models/Yntec/Analog"
-            elif model == 'Maple Syrup':
-                API_URL = "https://api-inference.huggingface.co/models/Yntec/MapleSyrup"
-            elif model == 'Perfect Lewd Fantasy':
-                API_URL = "https://api-inference.huggingface.co/models/digiplay/perfectLewdFantasy_v1.01"
-            elif model == 'AbsoluteReality 1.8.1':
-                API_URL = "https://api-inference.huggingface.co/models/digiplay/AbsoluteReality_v1.8.1"
-            elif model == 'Disney':
-                API_URL = "https://api-inference.huggingface.co/models/goofyai/disney_style_xl"
-                prompt = f"Disney style, {prompt}"
-            elif model == 'Redmond SDXL':
-                API_URL = "https://api-inference.huggingface.co/models/artificialguybr/LogoRedmond-LogoLoraForSDXL-V2"
-            elif model == 'epiCPhotoGasm':
-                API_URL = "https://api-inference.huggingface.co/models/Yntec/epiCPhotoGasm"
-            else:
-                API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
-
-        # Prepare payload
-        payload = {
-            "inputs": prompt,
-            "is_negative": is_negative,
-            "steps": steps,
-            "cfg_scale": cfg_scale,
-            "seed": seed if seed != -1 else random.randint(1, 1000000000),
-            "strength": strength,
-            "parameters": {
-                "width": width,
-                "height": height
-            }
-        }
-
-        # 타임아웃 값을 늘리고 재시도 로직 추가
-        max_retries = 3
-        current_retry = 0
-        
-        while current_retry < max_retries:
-            try:
-                response = requests.post(API_URL, headers=headers, json=payload, timeout=180)  # 타임아웃을 180초로 증가
-                response.raise_for_status()
-                
-                image = Image.open(io.BytesIO(response.content))
-                print(f'Generation {key} completed successfully')
-                return image
-                
-            except requests.exceptions.Timeout:
-                current_retry += 1
-                if current_retry < max_retries:
-                    print(f"Timeout occurred. Retrying... (Attempt {current_retry + 1}/{max_retries})")
-                    continue
-                else:
-                    raise gr.Error(f"Request timed out after {max_retries} attempts. The model might be busy, please try again later.")
-                    
-            except requests.exceptions.RequestException as e:
-                raise gr.Error(f"Request failed: {str(e)}")
-        
-    except requests.exceptions.RequestException as e:
-        error_message = f"Request failed: {str(e)}"
-        if hasattr(e, 'response') and e.response is not None:
-            if e.response.status_code == 401:
-                error_message = "Invalid API token. Please check your Hugging Face API token."
-            elif e.response.status_code == 403:
-                error_message = "Access denied. Please check your API token permissions."
-            elif e.response.status_code == 503:
-                error_message = "Model is currently loading. Please try again in a few moments."
-        raise gr.Error(error_message)
-    except Exception as e:
-        raise gr.Error(f"Unexpected error: {str(e)}")
-
-
-def generate_grid(prompt, selected_models, custom_lora, negative_prompt, steps, cfg_scale, seed, strength, width, height, progress=gr.Progress()):
-    if len(selected_models) > 4:
-        raise gr.Error("Please select up to 4 models")
-    if len(selected_models) == 0:
-        raise gr.Error("Please select at least 1 model")
-    
-    # 초기 이미지 배열 생성
-    images = []
-    total_models = len(selected_models[:4])
-    
-    # 각 모델별로 이미지 생성
-    for idx, model_name in enumerate(selected_models[:4]):
-        try:
-            progress((idx + 1) / total_models, f"Generating image for {model_name}...")
-            img = query(prompt, model_name, custom_lora, negative_prompt, steps, cfg_scale, seed, strength, width, height)
-            if img:
-                images.append(img)
-        except Exception as e:
-            print(f"Error generating image for {model_name}: {str(e)}")
-            continue
-    
-    # 최소한 하나의 이미지가 생성되었는지 확인
-    if not images:
-        raise gr.Error("Failed to generate any images. Please try again.")
-    
-    # 4개의 이미지 슬롯을 채움
-    while len(images) < 4:
-        images.append(images[-1])
-    
-    # 이미지가 올바르게 로드되었는지 확인
-    valid_images = []
-    for img in images:
-        try:
-            # 이미지 복사본 생성
-            img_copy = img.copy()
-            valid_images.append(img_copy)
-        except Exception as e:
-            print(f"Error processing image: {str(e)}")
-            # 오류가 발생한 경우 마지막 유효한 이미지로 대체
-            if valid_images:
-                valid_images.append(valid_images[-1].copy())
-            else:
-                raise gr.Error("Failed to process images. Please try again.")
-    
-    progress(1.0, "Generation complete!")
-    return valid_images
-
-css = """
-footer {
-    visibility: hidden;
-}
-"""
-
-with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=css) as dalle:
-    gr.Markdown("# ZeroWeight Studio")
-    
-    with gr.Row():
-        with gr.Column(scale=2):
-            text_prompt = gr.Textbox(
-                label="Prompt",
-                placeholder="Describe what you want to create...",
-                lines=3
-            )
-            
-            negative_prompt = gr.Textbox(
-                label="Negative Prompt",
-                placeholder="What should not be in the image",
-                value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation",
-                lines=2
-            )
-
-            custom_lora = gr.Textbox(
-                label="Custom LoRA Path (Optional)",
-                placeholder="e.g., multimodalart/vintage-ads-flux",
-                lines=1
-            )
-
-        with gr.Column(scale=1):
-            with gr.Group():
-                gr.Markdown("### Image Settings")
-                width = gr.Slider(label="Width", value=1024, minimum=512, maximum=1216, step=64)
-                height = gr.Slider(label="Height", value=1024, minimum=512, maximum=1216, step=64)
-                
-            with gr.Group():
-                gr.Markdown("### Generation Parameters")
-                steps = gr.Slider(label="Steps", value=35, minimum=1, maximum=100, step=1)
-                cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=0.5)
-                strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.1)
-                seed = gr.Slider(label="Seed (-1 for random)", value=-1, minimum=-1, maximum=1000000000, step=1)
-
-            with gr.Accordion("Model Selection", open=False):
-                model_search = gr.Textbox(
-                    label="Search Models",
-                    placeholder="Type to filter models...",
-                    lines=1
-                )
-
-                # 상위 4개 모델을 기본으로 설정
-                default_models = [
-                    "FLUX.1 [Schnell]",  # 모델 이름 통일
-                    "Stable Diffusion 3.5 Large",
-                    "Stable Diffusion 3.5 Large Turbo",
-                    "Midjourney"
-                ]
-
-                # 전체 모델 리스트
-                models_list = [
-                    "FLUX.1 [Schnell]",  # 모델 이름 통일
-                    "Stable Diffusion 3.5 Large",
-                    "Stable Diffusion 3.5 Large Turbo",
-                    "Stable Diffusion XL",
-                    "FLUX.1 [Dev]",
-                    "Midjourney",
-                    "DreamPhotoGASM",
-                    "Disney",
-                    "Leonardo AI Style Illustration", 
-                    "AbsoluteReality 1.8.1",
-                    "Analog Redmond",
-                    "Stable Diffusion 3 Medium",
-                    "Flux Super Realism LoRA",
-                    "Flux Realism LoRA",
-                    "Selfie Photography",
-                    "Character Design",
-                    "Pixel Art XL",
-                    "3D Sketchfab",
-                    "Flux Animex V2",
-                    "Flux Animeo V1",
-                    "Flux AestheticAnime",
-                    "90s Anime Art",
-                    "Softserve Anime",
-                    "Brain Melt Acid Art",
-                    "Retro Comic Flux",
-                    "Purple Dreamy",
-                    "SoftPasty Flux",
-                    "Flux Logo Design",
-                    "Product Design",
-                    "Propaganda Poster",
-                    "Movie Board",
-                    "Collage Flux"
-                ]
-
-                model = gr.Checkboxgroup(
-                    label="Select Models (Choose up to 4)",
-                    choices=models_list,
-                    value=default_models,
-                    interactive=True
-                )
-
-    with gr.Row():
-        generate_btn = gr.Button("Generate 2x2 Grid", variant="primary", size="lg")
-        
-    with gr.Row():
-        gallery = gr.Gallery(
-            label="Generated Images",
-            show_label=True,
-            elem_id="gallery",
-            columns=2,
-            rows=2,
-            height="auto"
-        )
-
-    generate_btn.click(
-        fn=generate_grid,
-        inputs=[
-            text_prompt,
-            model,
-            custom_lora,
-            negative_prompt,
-            steps,
-            cfg,
-            seed,
-            strength,
-            width,
-            height
-        ],
-        outputs=gallery
-    )
-
-
-    
-    def filter_models(search_term):
-        filtered_models = [m for m in models_list if search_term.lower() in m.lower()]
-        return gr.update(choices=filtered_models, value=[])
-
-    model_search.change(filter_models, inputs=model_search, outputs=model)
-
-if __name__ == "__main__":
-    dalle.launch(show_api=False, share=False)