Update app.py

app.py

@@ -9,480 +9,377 @@ import json
 
 # Project by Nymbo
 
+# Base API URL for Hugging Face inference
+API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
 # Retrieve the API token from environment variables
 API_TOKEN = os.getenv("HF_READ_TOKEN")
-# Create a list of available API tokens for load balancing
-API_TOKENS = [
-    os.getenv("HF_READ_TOKEN"), 
-    os.getenv("HF_READ_TOKEN_2"), 
-    os.getenv("HF_READ_TOKEN_3"), 
-    os.getenv("HF_READ_TOKEN_4"), 
-    os.getenv("HF_READ_TOKEN_5")
-]
+headers = {"Authorization": f"Bearer {API_TOKEN}"}
 # Timeout for requests
 timeout = 100
 
-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,
-    provider="hf-inference"  # Added provider parameter
-):
+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):
     # Debug log to indicate function start
     print("Starting query function...")
     # Print the parameters for debugging purposes
     print(f"Prompt: {prompt}")
     print(f"Model: {model}")
     print(f"Custom LoRA: {custom_lora}")
-    print(f"Provider: {provider}")  # Added provider debug log
     print(f"Parameters - Steps: {steps}, CFG Scale: {cfg_scale}, Seed: {seed}, Strength: {strength}, Width: {width}, Height: {height}")
 
     # Check if the prompt is empty or None
     if prompt == "" or prompt is None:
-        print("Prompt is empty or None. Exiting query function.")
+        print("Prompt is empty or None. Exiting query function.")  # Debug log
         return None
 
     # Generate a unique key for tracking the generation process
     key = random.randint(0, 999)
-    print(f"Generated key: {key}")
+    print(f"Generated key: {key}")  # Debug log
 
     # Randomly select an API token from available options to distribute the load
-    selected_token = random.choice([token for token in API_TOKENS if token])
-    print(f"Selected an API token")  # Modified to not print the actual token
-
-    # Initialize the default headers with authorization
-    headers = {"Authorization": f"Bearer {selected_token}"}
-    
-    # Select provider-specific headers if needed
-    if provider == "fal-ai":
-        headers = {
-            "Authorization": f"Bearer {os.getenv('FAL_API_KEY')}",
-            "Content-Type": "application/json"
-        }
-    elif provider == "together":
-        headers = {
-            "Authorization": f"Bearer {os.getenv('TOGETHER_API_KEY')}"
-        }
-    elif provider == "replicate":
-        headers = {
-            "Authorization": f"Token {os.getenv('REPLICATE_API_TOKEN')}",
-            "Content-Type": "application/json"
-        }
-    elif provider == "nebius":
-        headers = {
-            "Authorization": f"Api-Key {os.getenv('NEBIUS_API_KEY')}",
-            "Content-Type": "application/json"
-        }
+    API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN"), os.getenv("HF_READ_TOKEN_2"), os.getenv("HF_READ_TOKEN_3"), os.getenv("HF_READ_TOKEN_4"), os.getenv("HF_READ_TOKEN_5")])
+    headers = {"Authorization": f"Bearer {API_TOKEN}"}
+    print(f"Selected API token: {API_TOKEN}")  # Debug log
 
     # Enhance the prompt with additional details for better quality
-    enhanced_prompt = prompt
-    if provider == "hf-inference":
-        enhanced_prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
-    print(f'Generation {key}: {enhanced_prompt}')
-
-    # Set the API URL based on the selected provider, model, or custom LoRA
-    API_URL = get_model_api_url(model, custom_lora, provider)
-    print(f"API URL set to: {API_URL}")
+    prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
+    print(f'Generation {key}: {prompt}')  # Debug log
 
-    # Define the payload for the request (provider-specific)
-    payload = build_request_payload(prompt, is_negative, steps, cfg_scale, seed, strength, width, height, provider)
-    print(f"Payload created for provider: {provider}")
+    # Set the API URL based on the selected model or custom LoRA
+    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"
+        if model == 'FLUX.1 [Dev]':
+            API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
+        if model == 'FLUX.1 [Schnell]':
+            API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
+        if model == 'HiDream-I1-Full':
+            API_URL = "https://api-inference.huggingface.co/models/HiDream-ai/HiDream-I1-Full"
+        if model == 'HiDream-I1-Dev':
+            API_URL = "https://api-inference.huggingface.co/models/HiDream-ai/HiDream-I1-Dev"
+        if model == 'HiDream-I1-Fast':
+            API_URL = "https://api-inference.huggingface.co/models/HiDream-ai/HiDream-I1-Fast"
+        if model == 'Animagine 4.0':
+            API_URL = "https://api-inference.huggingface.co/models/cagliostrolab/animagine-xl-4.0"
+            prompt = f"masterpiece, high score, great score, absurdres, {prompt}"
+        if model == 'Flux Icon Kit':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Icon-Kit-LoRA"
+            prompt = f"Icon Kit, {prompt}"
+        if model == 'Pixel Background':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Pixel-Background-LoRA"
+            prompt = f"Pixel Background, {prompt}"
+        if model == 'Meme XD':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Meme-Xd-LoRA"
+            prompt = f"meme, {prompt}"
+        if model == 'Chill Guy':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Chill-Guy-Zone"
+            prompt = f"chill guy, {prompt}"
+        if model == 'Pepe':
+            API_URL = "https://api-inference.huggingface.co/models/openfree/pepe"
+            prompt = f"pepe, {prompt}"
+        if model == 'NSFWmodel':
+            API_URL = "https://api-inference.huggingface.co/models/lexa862/NSFWmodel"
+            prompt = f"nude, {prompt}"
+        if model == 'Claude Art':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Claude-Art"
+            prompt = f"claude art, {prompt}"
+        if model == 'Open Genmoji':
+            API_URL = "https://api-inference.huggingface.co/models/EvanZhouDev/open-genmoji"
+            prompt = f"emoji, {prompt}"
+        if model == 'EBook Creative Cover':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/EBook-Creative-Cover-Flux-LoRA"
+            prompt = f"EBook Cover, {prompt}"
+        if model == 'Flux Logo Design 2':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Logo-Design-Flux-LoRA"
+            prompt = f"Logo Design, {prompt}"
+        if model == 'Isometric 3D':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Isometric-3D-LoRA"
+            prompt = f"Isometric 3D, {prompt}"
+        if model == 'Flux Condensation':
+            API_URL = "https://api-inference.huggingface.co/models/fofr/flux-condensation"
+            prompt = f"CONDENSATION, {prompt}"
+        if model == 'Flux Handwriting':
+            API_URL = "https://api-inference.huggingface.co/models/fofr/flux-handwriting"
+            prompt = f"HWRIT handwriting, {prompt}"
+        if model == 'Shou Xin':
+            API_URL = "https://api-inference.huggingface.co/models/Datou1111/shou_xin"
+            prompt = f"shou_xin, pencil sketch, {prompt}"
+        if model == 'Sketch Smudge':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Sketch-Smudge-LoRA"
+            prompt = f"Sketch Smudge, {prompt}"
+        if model == '80s Cyberpunk':
+            API_URL = "https://api-inference.huggingface.co/models/fofr/flux-80s-cyberpunk"
+            prompt = f"80s cyberpunk, {prompt}"
+        if model == 'Coloring Book Flux':
+            API_URL = "https://api-inference.huggingface.co/models/renderartist/coloringbookflux"
+            prompt = f"c0l0ringb00k, coloring book, coloring book page, {prompt}"
+        if model == 'Flux Miniature LoRA':
+            API_URL = "https://api-inference.huggingface.co/models/gokaygokay/Flux-Miniature-LoRA"
+            prompt = f"MNTR, miniature drawing, {prompt}"
+        if model == 'Sketch Paint':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Sketch-Paint"
+            prompt = f"Sketch paint, {prompt}"
+        if model == 'Flux UltraRealism 2.0':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0"
+            prompt = f"Ultra realistic, {prompt}"
+        if model == 'Midjourney Mix':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Midjourney-Mix-LoRA"
+            prompt = f"midjourney mix, {prompt}"
+        if model == 'Midjourney Mix 2':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Midjourney-Mix2-LoRA"
+            prompt = f"MJ v6, {prompt}"
+        if 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}"
+        if model == 'Flux Uncensored':
+            API_URL = "https://api-inference.huggingface.co/models/enhanceaiteam/Flux-uncensored"
+        if model == 'Flux Uncensored V2':
+            API_URL = "https://api-inference.huggingface.co/models/enhanceaiteam/Flux-Uncensored-V2"
+        if model == 'Flux Tarot Cards':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Ton618-Tarot-Cards-Flux-LoRA"
+            prompt = f"Tarot card, {prompt}"
+        if model == 'Pixel Art Sprites':
+            API_URL = "https://api-inference.huggingface.co/models/sWizad/pokemon-trainer-sprites-pixelart-flux"
+            prompt = f"a pixel image, {prompt}"
+        if model == '3D Sketchfab':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Castor-3D-Sketchfab-Flux-LoRA"
+            prompt = f"3D Sketchfab, {prompt}"
+        if model == 'Retro Comic Flux':
+            API_URL = "https://api-inference.huggingface.co/models/renderartist/retrocomicflux"
+            prompt = f"c0m1c, comic book panel, {prompt}"
+        if model == 'Caricature':
+            API_URL = "https://api-inference.huggingface.co/models/TheAwakenOne/caricature"
+            prompt = f"CCTUR3, {prompt}"
+        if model == 'Huggieverse':
+            API_URL = "https://api-inference.huggingface.co/models/Chunte/flux-lora-Huggieverse"
+            prompt = f"HGGRE, {prompt}"
+        if model == 'Propaganda Poster':
+            API_URL = "https://api-inference.huggingface.co/models/AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion"
+            prompt = f"propaganda poster, {prompt}"
+        if 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}"
+        if model == 'SDXL HS Card Style':
+            API_URL = "https://api-inference.huggingface.co/models/Norod78/sdxl-hearthstone-card-style-lora"
+            prompt = f"Hearthstone Card, {prompt}"
+        if model == 'SLDR FLUX NSFW v2 Studio':
+            API_URL = "https://api-inference.huggingface.co/models/xey/sldr_flux_nsfw_v2-studio"
+        if model == 'SoftPasty Flux':
+            API_URL = "https://api-inference.huggingface.co/models/alvdansen/softpasty-flux-dev"
+            prompt = f"araminta_illus illustration style, {prompt}"
+        if model == 'Flux Stickers':
+            API_URL = "https://api-inference.huggingface.co/models/diabolic6045/Flux_Sticker_Lora"
+            prompt = f"5t1cker 5ty1e, {prompt}"
+        if model == 'Flux Animex V2':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Animex-v2-LoRA"
+            prompt = f"Animex, {prompt}"
+        if model == 'Flux Animeo V1':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Animeo-v1-LoRA"
+            prompt = f"Animeo, {prompt}"
+        if model == 'Movie Board':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux.1-Dev-Movie-Boards-LoRA"
+            prompt = f"movieboard, {prompt}"
+        if model == 'Purple Dreamy':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Purple-Dreamy-Flux-LoRA"
+            prompt = f"Purple Dreamy, {prompt}"
+        if model == 'PS1 Style Flux':
+            API_URL = "https://api-inference.huggingface.co/models/veryVANYA/ps1-style-flux"
+            prompt = f"ps1 game screenshot, {prompt}"
+        if model == 'Softserve Anime':
+            API_URL = "https://api-inference.huggingface.co/models/alvdansen/softserve_anime"
+            prompt = f"sftsrv style illustration, {prompt}"
+        if 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}"
+        if model == 'Half Illustration':
+            API_URL = "https://api-inference.huggingface.co/models/davisbro/half_illustration"
+            prompt = f"in the style of TOK, {prompt}"
+        if model == 'OpenDalle v1.1':
+            API_URL = "https://api-inference.huggingface.co/models/dataautogpt3/OpenDalleV1.1"
+        if model == 'Flux Ghibsky Illustration':
+            API_URL = "https://api-inference.huggingface.co/models/aleksa-codes/flux-ghibsky-illustration"
+            prompt = f"GHIBSKY style, {prompt}"
+        if model == 'Flux Koda':
+            API_URL = "https://api-inference.huggingface.co/models/alvdansen/flux-koda"
+            prompt = f"flmft style, {prompt}"
+        if model == 'Soviet Diffusion XL':
+            API_URL = "https://api-inference.huggingface.co/models/openskyml/soviet-diffusion-xl"
+            prompt = f"soviet poster, {prompt}"
+        if model == 'Flux Realism LoRA':
+            API_URL = "https://api-inference.huggingface.co/models/XLabs-AI/flux-RealismLora"
+        if model == 'Frosting Lane Flux':
+            API_URL = "https://api-inference.huggingface.co/models/alvdansen/frosting_lane_flux"
+            prompt = f"frstingln illustration, {prompt}"
+        if model == 'Phantasma Anime':
+            API_URL = "https://api-inference.huggingface.co/models/alvdansen/phantasma-anime"
+        if model == 'Boreal':
+            API_URL = "https://api-inference.huggingface.co/models/kudzueye/Boreal"
+            prompt = f"photo, {prompt}"
+        if model == 'How2Draw':
+            API_URL = "https://api-inference.huggingface.co/models/glif/how2draw"
+            prompt = f"How2Draw, {prompt}"
+        if model == 'Flux AestheticAnime':
+            API_URL = "https://api-inference.huggingface.co/models/dataautogpt3/FLUX-AestheticAnime"
+        if model == 'Fashion Hut Modeling LoRA':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Fashion-Hut-Modeling-LoRA"
+            prompt = f"Modeling of, {prompt}"
+        if model == 'Flux SyntheticAnime':
+            API_URL = "https://api-inference.huggingface.co/models/dataautogpt3/FLUX-SyntheticAnime"
+            prompt = f"1980s anime screengrab, VHS quality, syntheticanime, {prompt}"
+        if model == 'Flux Midjourney Anime':
+            API_URL = "https://api-inference.huggingface.co/models/brushpenbob/flux-midjourney-anime"
+            prompt = f"egmid, {prompt}"
+        if model == 'Coloring Book Generator':
+            API_URL = "https://api-inference.huggingface.co/models/robert123231/coloringbookgenerator"
+        if model == 'Collage Flux':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Castor-Collage-Dim-Flux-LoRA"
+            prompt = f"collage, {prompt}"
+        if model == 'Flux Product Ad Backdrop':
+            API_URL = "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Product-Ad-Backdrop"
+            prompt = f"Product Ad, {prompt}"
+        if model == 'Product Design':
+            API_URL = "https://api-inference.huggingface.co/models/multimodalart/product-design"
+            prompt = f"product designed by prdsgn, {prompt}"
+        if model == '90s Anime Art':
+            API_URL = "https://api-inference.huggingface.co/models/glif/90s-anime-art"
+        if 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}"
+        if model == 'Lustly Flux Uncensored v1':
+            API_URL = "https://api-inference.huggingface.co/models/lustlyai/Flux_Lustly.ai_Uncensored_nsfw_v1"
+        if model == 'NSFW Master Flux':
+            API_URL = "https://api-inference.huggingface.co/models/Keltezaa/NSFW_MASTER_FLUX"
+            prompt = f"NSFW, {prompt}"
+        if model == 'Flux Outfit Generator':
+            API_URL = "https://api-inference.huggingface.co/models/tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator"
+        if model == 'Midjourney':
+            API_URL = "https://api-inference.huggingface.co/models/Jovie/Midjourney"
+        if model == 'DreamPhotoGASM':
+            API_URL = "https://api-inference.huggingface.co/models/Yntec/DreamPhotoGASM"
+        if model == 'Flux Super Realism LoRA':
+            API_URL = "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Super-Realism-LoRA"
+        if model == 'Stable Diffusion 2-1':
+            API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1-base"
+        if model == 'Stable Diffusion 3.5 Large':
+            API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large"
+        if model == 'Stable Diffusion 3.5 Large Turbo':
+            API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large-turbo"
+        if model == 'Stable Diffusion 3 Medium':
+            API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3-medium-diffusers"
+            prompt = f"A, {prompt}"
+        if model == 'Duchaiten Real3D NSFW XL':
+            API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/duchaiten-real3d-nsfw-xl"
+        if model == 'Pixel Art XL':
+            API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl"
+            prompt = f"pixel art, {prompt}"
+        if model == 'Character Design':
+            API_URL = "https://api-inference.huggingface.co/models/KappaNeuro/character-design"
+            prompt = f"Character Design, {prompt}"
+        if model == 'Sketched Out Manga':
+            API_URL = "https://api-inference.huggingface.co/models/alvdansen/sketchedoutmanga"
+            prompt = f"daiton, {prompt}"
+        if model == 'Archfey Anime':
+            API_URL = "https://api-inference.huggingface.co/models/alvdansen/archfey_anime"
+        if model == 'Lofi Cuties':
+            API_URL = "https://api-inference.huggingface.co/models/alvdansen/lofi-cuties"
+        if model == 'YiffyMix':
+            API_URL = "https://api-inference.huggingface.co/models/Yntec/YiffyMix"
+        if model == 'Analog Madness Realistic v7':
+            API_URL = "https://api-inference.huggingface.co/models/digiplay/AnalogMadness-realistic-model-v7"
+        if 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}"
+        if model == 'Filmgrain':
+            API_URL = "https://api-inference.huggingface.co/models/artificialguybr/filmgrain-redmond-filmgrain-lora-for-sdxl"
+            prompt = f"Film Grain, FilmGrainAF, {prompt}"
+        if 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}"
+        if model == 'Cyborg Style XL':
+            API_URL = "https://api-inference.huggingface.co/models/goofyai/cyborg_style_xl"
+            prompt = f"cyborg style, {prompt}"
+        if model == 'Little Tinies':
+            API_URL = "https://api-inference.huggingface.co/models/alvdansen/littletinies"
+        if model == 'NSFW XL':
+            API_URL = "https://api-inference.huggingface.co/models/Dremmar/nsfw-xl"
+        if model == 'Analog Redmond':
+            API_URL = "https://api-inference.huggingface.co/models/artificialguybr/analogredmond"
+            prompt = f"timeless style, {prompt}"
+        if model == 'Pixel Art Redmond':
+            API_URL = "https://api-inference.huggingface.co/models/artificialguybr/PixelArtRedmond"
+            prompt = f"Pixel Art, {prompt}"
+        if model == 'Ascii Art':
+            API_URL = "https://api-inference.huggingface.co/models/CiroN2022/ascii-art"
+            prompt = f"ascii art, {prompt}"
+        if model == 'Analog':
+            API_URL = "https://api-inference.huggingface.co/models/Yntec/Analog"
+        if model == 'Maple Syrup':
+            API_URL = "https://api-inference.huggingface.co/models/Yntec/MapleSyrup"
+        if model == 'Perfect Lewd Fantasy':
+            API_URL = "https://api-inference.huggingface.co/models/digiplay/perfectLewdFantasy_v1.01"
+        if model == 'AbsoluteReality 1.8.1':
+            API_URL = "https://api-inference.huggingface.co/models/digiplay/AbsoluteReality_v1.8.1"
+        if model == 'Disney':
+            API_URL = "https://api-inference.huggingface.co/models/goofyai/disney_style_xl"
+            prompt = f"Disney style, {prompt}"
+        if model == 'Redmond SDXL':
+            API_URL = "https://api-inference.huggingface.co/models/artificialguybr/LogoRedmond-LogoLoraForSDXL-V2"
+        if model == 'epiCPhotoGasm':
+            API_URL = "https://api-inference.huggingface.co/models/Yntec/epiCPhotoGasm"
+    print(f"API URL set to: {API_URL}")  # Debug log
+
+    # Define the payload for the request
+    payload = {
+        "inputs": prompt,
+        "is_negative": is_negative,  # Whether to use a negative prompt
+        "steps": steps,  # Number of sampling steps
+        "cfg_scale": cfg_scale,  # Scale for controlling adherence to prompt
+        "seed": seed if seed != -1 else random.randint(1, 1000000000),  # Random seed for reproducibility
+        "strength": strength,  # How strongly the model should transform the image
+        "parameters": {
+            "width": width,  # Width of the generated image
+            "height": height  # Height of the generated image
+        }
+    }
+    print(f"Payload: {json.dumps(payload, indent=2)}")  # Debug log
 
     # Make a request to the API to generate the image
     try:
-        response = make_provider_request(API_URL, headers, payload, provider, timeout)
-        print(f"Response status code: {response.status_code}")
+        response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
+        print(f"Response status code: {response.status_code}")  # Debug log
     except requests.exceptions.RequestException as e:
-        print(f"Request failed: {e}")
+        # Log any request exceptions and raise an error for the user
+        print(f"Request failed: {e}")  # Debug log
         raise gr.Error(f"Request failed: {e}")
 
     # Check if the response status is not successful
     if response.status_code != 200:
-        print(f"Error: Failed to retrieve image. Response status: {response.status_code}")
-        print(f"Response content: {response.text}")
-        handle_error_response(response)
+        print(f"Error: Failed to retrieve image. Response status: {response.status_code}")  # Debug log
+        print(f"Response content: {response.text}")  # Debug log
+        if response.status_code == 400:
+            raise gr.Error(f"{response.status_code}: Bad Request - There might be an issue with the input parameters.")
+        elif response.status_code == 401:
+            raise gr.Error(f"{response.status_code}: Unauthorized - Please check your API token.")
+        elif response.status_code == 403:
+            raise gr.Error(f"{response.status_code}: Forbidden - You do not have permission to access this model.")
+        elif response.status_code == 404:
+            raise gr.Error(f"{response.status_code}: Not Found - The requested model could not be found.")
+        elif response.status_code == 503:
+            raise gr.Error(f"{response.status_code}: The model is being loaded. Please try again later.")
+        else:
+            raise gr.Error(f"{response.status_code}: An unexpected error occurred.")
 
     try:
-        # Process the response based on the provider
-        image = process_provider_response(response, provider)
-        print(f'Generation {key} completed! ({prompt})')
-        return image
-    except Exception as e:
-        print(f"Error while processing the response: {e}")
-        return None
-
-def get_model_api_url(model, custom_lora, provider):
-    """
-    Determine the correct API URL based on model, custom LoRA, and provider
-    """
-    # If a custom LoRA is specified, use it (only for HF Inference)
-    if custom_lora.strip() != "" and provider == "hf-inference":
-        return f"https://api-inference.huggingface.co/models/{custom_lora.strip()}"
-    
-    # Provider-specific base URLs
-    if provider == "fal-ai":
-        return "https://gateway.fal.ai/inference"
-    elif provider == "replicate":
-        return "https://api.replicate.com/v1/predictions"
-    elif provider == "nebius":
-        return "https://llm.api.cloud.yandex.net/foundationModels/v1/image/generate"
-    elif provider == "together":
-        return "https://api.together.xyz/v1/images/generations"
-    
-    # Default to HuggingFace with the selected model
-    if provider == "hf-inference":
-        # Map model names to their respective API URLs
-        model_urls = {
-            'Stable Diffusion XL': "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0",
-            'FLUX.1 [Dev]': "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev",
-            'FLUX.1 [Schnell]': "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell",
-            'HiDream-I1-Full': "https://api-inference.huggingface.co/models/HiDream-ai/HiDream-I1-Full",
-            'HiDream-I1-Dev': "https://api-inference.huggingface.co/models/HiDream-ai/HiDream-I1-Dev",
-            'HiDream-I1-Fast': "https://api-inference.huggingface.co/models/HiDream-ai/HiDream-I1-Fast",
-            'Animagine 4.0': "https://api-inference.huggingface.co/models/cagliostrolab/animagine-xl-4.0",
-            'Flux Icon Kit': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Icon-Kit-LoRA",
-            'Pixel Background': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Pixel-Background-LoRA",
-            'Meme XD': "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Meme-Xd-LoRA",
-            'Chill Guy': "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Chill-Guy-Zone",
-            'Pepe': "https://api-inference.huggingface.co/models/openfree/pepe",
-            'NSFWmodel': "https://api-inference.huggingface.co/models/lexa862/NSFWmodel",
-            'Claude Art': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Claude-Art",
-            'Open Genmoji': "https://api-inference.huggingface.co/models/EvanZhouDev/open-genmoji",
-            'EBook Creative Cover': "https://api-inference.huggingface.co/models/prithivMLmods/EBook-Creative-Cover-Flux-LoRA",
-            'Flux Logo Design 2': "https://api-inference.huggingface.co/models/prithivMLmods/Logo-Design-Flux-LoRA",
-            'Isometric 3D': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Isometric-3D-LoRA",
-            'Flux Condensation': "https://api-inference.huggingface.co/models/fofr/flux-condensation",
-            'Flux Handwriting': "https://api-inference.huggingface.co/models/fofr/flux-handwriting",
-            'Shou Xin': "https://api-inference.huggingface.co/models/Datou1111/shou_xin",
-            'Sketch Smudge': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Sketch-Smudge-LoRA",
-            '80s Cyberpunk': "https://api-inference.huggingface.co/models/fofr/flux-80s-cyberpunk",
-            'Coloring Book Flux': "https://api-inference.huggingface.co/models/renderartist/coloringbookflux",
-            'Flux Miniature LoRA': "https://api-inference.huggingface.co/models/gokaygokay/Flux-Miniature-LoRA",
-            'Sketch Paint': "https://api-inference.huggingface.co/models/strangerzonehf/Sketch-Paint",
-            'Flux UltraRealism 2.0': "https://api-inference.huggingface.co/models/prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0",
-            'Midjourney Mix': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Midjourney-Mix-LoRA",
-            'Midjourney Mix 2': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Midjourney-Mix2-LoRA",
-            'Flux Logo Design': "https://api-inference.huggingface.co/models/Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design",
-            'Flux Uncensored': "https://api-inference.huggingface.co/models/enhanceaiteam/Flux-uncensored",
-            'Flux Uncensored V2': "https://api-inference.huggingface.co/models/enhanceaiteam/Flux-Uncensored-V2",
-            'Flux Tarot Cards': "https://api-inference.huggingface.co/models/prithivMLmods/Ton618-Tarot-Cards-Flux-LoRA",
-            'Pixel Art Sprites': "https://api-inference.huggingface.co/models/sWizad/pokemon-trainer-sprites-pixelart-flux",
-            '3D Sketchfab': "https://api-inference.huggingface.co/models/prithivMLmods/Castor-3D-Sketchfab-Flux-LoRA",
-            'Retro Comic Flux': "https://api-inference.huggingface.co/models/renderartist/retrocomicflux",
-            'Caricature': "https://api-inference.huggingface.co/models/TheAwakenOne/caricature",
-            'Huggieverse': "https://api-inference.huggingface.co/models/Chunte/flux-lora-Huggieverse",
-            'Propaganda Poster': "https://api-inference.huggingface.co/models/AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion",
-            'Flux Game Assets V2': "https://api-inference.huggingface.co/models/gokaygokay/Flux-Game-Assets-LoRA-v2",
-            'SDXL HS Card Style': "https://api-inference.huggingface.co/models/Norod78/sdxl-hearthstone-card-style-lora",
-            'SLDR FLUX NSFW v2 Studio': "https://api-inference.huggingface.co/models/xey/sldr_flux_nsfw_v2-studio",
-            'SoftPasty Flux': "https://api-inference.huggingface.co/models/alvdansen/softpasty-flux-dev",
-            'Flux Stickers': "https://api-inference.huggingface.co/models/diabolic6045/Flux_Sticker_Lora",
-            'Flux Animex V2': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Animex-v2-LoRA",
-            'Flux Animeo V1': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Animeo-v1-LoRA",
-            'Movie Board': "https://api-inference.huggingface.co/models/prithivMLmods/Flux.1-Dev-Movie-Boards-LoRA",
-            'Purple Dreamy': "https://api-inference.huggingface.co/models/prithivMLmods/Purple-Dreamy-Flux-LoRA",
-            'PS1 Style Flux': "https://api-inference.huggingface.co/models/veryVANYA/ps1-style-flux",
-            'Softserve Anime': "https://api-inference.huggingface.co/models/alvdansen/softserve_anime",
-            'Flux Tarot v1': "https://api-inference.huggingface.co/models/multimodalart/flux-tarot-v1",
-            'Half Illustration': "https://api-inference.huggingface.co/models/davisbro/half_illustration",
-            'OpenDalle v1.1': "https://api-inference.huggingface.co/models/dataautogpt3/OpenDalleV1.1",
-            'Flux Ghibsky Illustration': "https://api-inference.huggingface.co/models/aleksa-codes/flux-ghibsky-illustration",
-            'Flux Koda': "https://api-inference.huggingface.co/models/alvdansen/flux-koda",
-            'Soviet Diffusion XL': "https://api-inference.huggingface.co/models/openskyml/soviet-diffusion-xl",
-            'Flux Realism LoRA': "https://api-inference.huggingface.co/models/XLabs-AI/flux-RealismLora",
-            'Frosting Lane Flux': "https://api-inference.huggingface.co/models/alvdansen/frosting_lane_flux",
-            'Phantasma Anime': "https://api-inference.huggingface.co/models/alvdansen/phantasma-anime",
-            'Boreal': "https://api-inference.huggingface.co/models/kudzueye/Boreal",
-            'How2Draw': "https://api-inference.huggingface.co/models/glif/how2draw",
-            'Flux AestheticAnime': "https://api-inference.huggingface.co/models/dataautogpt3/FLUX-AestheticAnime",
-            'Fashion Hut Modeling LoRA': "https://api-inference.huggingface.co/models/prithivMLmods/Fashion-Hut-Modeling-LoRA",
-            'Flux SyntheticAnime': "https://api-inference.huggingface.co/models/dataautogpt3/FLUX-SyntheticAnime",
-            'Flux Midjourney Anime': "https://api-inference.huggingface.co/models/brushpenbob/flux-midjourney-anime",
-            'Coloring Book Generator': "https://api-inference.huggingface.co/models/robert123231/coloringbookgenerator",
-            'Collage Flux': "https://api-inference.huggingface.co/models/prithivMLmods/Castor-Collage-Dim-Flux-LoRA",
-            'Flux Product Ad Backdrop': "https://api-inference.huggingface.co/models/prithivMLmods/Flux-Product-Ad-Backdrop",
-            'Product Design': "https://api-inference.huggingface.co/models/multimodalart/product-design",
-            '90s Anime Art': "https://api-inference.huggingface.co/models/glif/90s-anime-art",
-            'Brain Melt Acid Art': "https://api-inference.huggingface.co/models/glif/Brain-Melt-Acid-Art",
-            'Lustly Flux Uncensored v1': "https://api-inference.huggingface.co/models/lustlyai/Flux_Lustly.ai_Uncensored_nsfw_v1",
-            'NSFW Master Flux': "https://api-inference.huggingface.co/models/Keltezaa/NSFW_MASTER_FLUX",
-            'Flux Outfit Generator': "https://api-inference.huggingface.co/models/tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator",
-            'Midjourney': "https://api-inference.huggingface.co/models/Jovie/Midjourney",
-            'DreamPhotoGASM': "https://api-inference.huggingface.co/models/Yntec/DreamPhotoGASM",
-            'Flux Super Realism LoRA': "https://api-inference.huggingface.co/models/strangerzonehf/Flux-Super-Realism-LoRA",
-            'Stable Diffusion 2-1': "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1-base",
-            'Stable Diffusion 3.5 Large': "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large",
-            'Stable Diffusion 3.5 Large Turbo': "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large-turbo",
-            'Stable Diffusion 3 Medium': "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3-medium-diffusers",
-            'Duchaiten Real3D NSFW XL': "https://api-inference.huggingface.co/models/stablediffusionapi/duchaiten-real3d-nsfw-xl",
-            'Pixel Art XL': "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl",
-            'Character Design': "https://api-inference.huggingface.co/models/KappaNeuro/character-design",
-            'Sketched Out Manga': "https://api-inference.huggingface.co/models/alvdansen/sketchedoutmanga",
-            'Archfey Anime': "https://api-inference.huggingface.co/models/alvdansen/archfey_anime",
-            'Lofi Cuties': "https://api-inference.huggingface.co/models/alvdansen/lofi-cuties",
-            'YiffyMix': "https://api-inference.huggingface.co/models/Yntec/YiffyMix",
-            'Analog Madness Realistic v7': "https://api-inference.huggingface.co/models/digiplay/AnalogMadness-realistic-model-v7",
-            'Selfie Photography': "https://api-inference.huggingface.co/models/artificialguybr/selfiephotographyredmond-selfie-photography-lora-for-sdxl",
-            'Filmgrain': "https://api-inference.huggingface.co/models/artificialguybr/filmgrain-redmond-filmgrain-lora-for-sdxl",
-            'Leonardo AI Style Illustration': "https://api-inference.huggingface.co/models/goofyai/Leonardo_Ai_Style_Illustration",
-            'Cyborg Style XL': "https://api-inference.huggingface.co/models/goofyai/cyborg_style_xl",
-            'Little Tinies': "https://api-inference.huggingface.co/models/alvdansen/littletinies",
-            'NSFW XL': "https://api-inference.huggingface.co/models/Dremmar/nsfw-xl",
-            'Analog Redmond': "https://api-inference.huggingface.co/models/artificialguybr/analogredmond",
-            'Pixel Art Redmond': "https://api-inference.huggingface.co/models/artificialguybr/PixelArtRedmond",
-            'Ascii Art': "https://api-inference.huggingface.co/models/CiroN2022/ascii-art",
-            'Analog': "https://api-inference.huggingface.co/models/Yntec/Analog",
-            'Maple Syrup': "https://api-inference.huggingface.co/models/Yntec/MapleSyrup",
-            'Perfect Lewd Fantasy': "https://api-inference.huggingface.co/models/digiplay/perfectLewdFantasy_v1.01",
-            'AbsoluteReality 1.8.1': "https://api-inference.huggingface.co/models/digiplay/AbsoluteReality_v1.8.1",
-            'Disney': "https://api-inference.huggingface.co/models/goofyai/disney_style_xl",
-            'Redmond SDXL': "https://api-inference.huggingface.co/models/artificialguybr/LogoRedmond-LogoLoraForSDXL-V2",
-            'epiCPhotoGasm': "https://api-inference.huggingface.co/models/Yntec/epiCPhotoGasm",
-        }
-        
-        # Add prompt prefixes based on the model
-        prompt_prefixes = get_model_prompt_prefixes(model)
-        
-        # Return the corresponding URL or a default one
-        return model_urls.get(model, "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell")
-
-def get_model_prompt_prefixes(model):
-    """
-    Returns prompt prefixes for specific models
-    """
-    prefixes = {
-        'Animagine 4.0': "masterpiece, high score, great score, absurdres, ",
-        'Flux Icon Kit': "Icon Kit, ",
-        'Pixel Background': "Pixel Background, ",
-        'Meme XD': "meme, ",
-        'Chill Guy': "chill guy, ",
-        'Pepe': "pepe, ",
-        'NSFWmodel': "nude, ",
-        'Claude Art': "claude art, ",
-        'Open Genmoji': "emoji, ",
-        'EBook Creative Cover': "EBook Cover, ",
-        'Flux Logo Design 2': "Logo Design, ",
-        'Isometric 3D': "Isometric 3D, ",
-        'Flux Condensation': "CONDENSATION, ",
-        'Flux Handwriting': "HWRIT handwriting, ",
-        'Shou Xin': "shou_xin, pencil sketch, ",
-        'Sketch Smudge': "Sketch Smudge, ",
-        '80s Cyberpunk': "80s cyberpunk, ",
-        'Coloring Book Flux': "c0l0ringb00k, coloring book, coloring book page, ",
-        'Flux Miniature LoRA': "MNTR, miniature drawing, ",
-        'Sketch Paint': "Sketch paint, ",
-        'Flux UltraRealism 2.0': "Ultra realistic, ",
-        'Midjourney Mix': "midjourney mix, ",
-        'Midjourney Mix 2': "MJ v6, ",
-        'Flux Logo Design': "wablogo, logo, Minimalist, ",
-        'Flux Tarot Cards': "Tarot card, ",
-        'Pixel Art Sprites': "a pixel image, ",
-        '3D Sketchfab': "3D Sketchfab, ",
-        'Retro Comic Flux': "c0m1c, comic book panel, ",
-        'Caricature': "CCTUR3, ",
-        'Huggieverse': "HGGRE, ",
-        'Propaganda Poster': "propaganda poster, ",
-        'Flux Game Assets V2': "wbgmsst, white background, ",
-        'SDXL HS Card Style': "Hearthstone Card, ",
-        'SoftPasty Flux': "araminta_illus illustration style, ",
-        'Flux Stickers': "5t1cker 5ty1e, ",
-        'Flux Animex V2': "Animex, ",
-        'Flux Animeo V1': "Animeo, ",
-        'Movie Board': "movieboard, ",
-        'Purple Dreamy': "Purple Dreamy, ",
-        'PS1 Style Flux': "ps1 game screenshot, ",
-        'Softserve Anime': "sftsrv style illustration, ",
-        'Flux Tarot v1': "in the style of TOK a trtcrd tarot style, ",
-        'Half Illustration': "in the style of TOK, ",
-        'Flux Ghibsky Illustration': "GHIBSKY style, ",
-        'Flux Koda': "flmft style, ",
-        'Soviet Diffusion XL': "soviet poster, ",
-        'Frosting Lane Flux': "frstingln illustration, ",
-        'Boreal': "photo, ",
-        'How2Draw': "How2Draw, ",
-        'Fashion Hut Modeling LoRA': "Modeling of, ",
-        'Flux SyntheticAnime': "1980s anime screengrab, VHS quality, syntheticanime, ",
-        'Flux Midjourney Anime': "egmid, ",
-        'Collage Flux': "collage, ",
-        'Flux Product Ad Backdrop': "Product Ad, ",
-        'Product Design': "product designed by prdsgn, ",
-        'Brain Melt Acid Art': "maximalism, in an acid surrealism style, ",
-        'NSFW Master Flux': "NSFW, ",
-        'Disney': "Disney style, ",
-        'Pixel Art XL': "pixel art, ",
-        'Character Design': "Character Design, ",
-        'Selfie Photography': "instagram model, discord profile picture, ",
-        'Filmgrain': "Film Grain, FilmGrainAF, ",
-        'Leonardo AI Style Illustration': "leonardo style, illustration, vector art, ",
-        'Cyborg Style XL': "cyborg style, ",
-        'Analog Redmond': "timeless style, ",
-        'Pixel Art Redmond': "Pixel Art, ",
-        'Ascii Art': "ascii art, ",
-        'Stable Diffusion 3 Medium': "A, ",
-    }
-    return prefixes.get(model, "")
-
-def build_request_payload(prompt, is_negative, steps, cfg_scale, seed, strength, width, height, provider):
-    """
-    Builds the appropriate payload for the selected provider
-    """
-    # Set a random seed if -1 is provided
-    actual_seed = seed if seed != -1 else random.randint(1, 1000000000)
-    
-    # Provider-specific payloads
-    if provider == "fal-ai":
-        return {
-            "model": "fal-stable-diffusion-xl",
-            "prompt": prompt,
-            "negative_prompt": is_negative,
-            "num_inference_steps": steps,
-            "guidance_scale": cfg_scale,
-            "seed": actual_seed,
-            "width": width,
-            "height": height
-        }
-    elif provider == "replicate":
-        return {
-            "version": "39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b",
-            "input": {
-                "prompt": prompt,
-                "negative_prompt": is_negative,
-                "num_inference_steps": steps,
-                "guidance_scale": cfg_scale,
-                "seed": actual_seed,
-                "width": width,
-                "height": height
-            }
-        }
-    elif provider == "nebius":
-        return {
-            "model": "yandex/imagen",
-            "messages": [
-                {
-                    "role": "user",
-                    "content": prompt
-                }
-            ],
-            "generationOptions": {
-                "size": f"{width}x{height}",
-                "negativePrompt": is_negative,
-                "seed": actual_seed,
-                "cfgScale": cfg_scale,
-                "steps": steps
-            }
-        }
-    elif provider == "together":
-        return {
-            "model": "stabilityai/stable-diffusion-xl-base-1.0",
-            "prompt": prompt,
-            "negative_prompt": is_negative,
-            "steps": steps,
-            "cfg_scale": cfg_scale,
-            "seed": actual_seed,
-            "width": width,
-            "height": height
-        }
-    else:  # Default for HF Inference
-        return {
-            "inputs": prompt,
-            "is_negative": is_negative,
-            "steps": steps,
-            "cfg_scale": cfg_scale,
-            "seed": actual_seed,
-            "strength": strength,
-            "parameters": {
-                "width": width,
-                "height": height
-            }
-        }
-
-def make_provider_request(api_url, headers, payload, provider, timeout):
-    """
-    Makes the appropriate request for the selected provider
-    """
-    if provider == "replicate":
-        # Replicate uses a two-step process: create prediction and get results
-        create_response = requests.post(api_url, headers=headers, json=payload, timeout=timeout)
-        if create_response.status_code != 201:
-            return create_response
-        
-        # Get the prediction ID
-        prediction = create_response.json()
-        get_url = f"{api_url}/{prediction['id']}"
-        
-        # Poll until the prediction is complete
-        while True:
-            response = requests.get(get_url, headers=headers, timeout=timeout)
-            if response.json()["status"] == "succeeded":
-                # Create a mock response object to match the expected interface
-                class MockResponse:
-                    def __init__(self, content, status_code):
-                        self.content = content
-                        self.status_code = status_code
-                
-                # Get the image URL from the prediction
-                image_url = response.json()["output"][0]
-                image_response = requests.get(image_url, timeout=timeout)
-                
-                # Return a mock response with the image content
-                return MockResponse(image_response.content, 200)
-        
-        # Standard request for other providers
-        return requests.post(api_url, headers=headers, json=payload, timeout=timeout)
-
-def process_provider_response(response, provider):
-    """
-    Processes the response based on the provider
-    """
-    if provider == "fal-ai":
-        # Fal AI returns a JSON with an image URL
-        result = response.json()
-        image_url = result["images"][0]["url"]
-        image_response = requests.get(image_url, timeout=timeout)
-        image = Image.open(io.BytesIO(image_response.content))
-        return image
-    elif provider == "nebius":
-        # Nebius returns a JSON with Base64 encoded image
-        result = response.json()
-        image_data = result["result"]["images"][0]
-        image = Image.open(io.BytesIO(base64.b64decode(image_data)))
-        return image
-    elif provider == "together":
-        # Together.ai returns a JSON with Base64 encoded image
-        result = response.json()
-        image_data = result["images"][0]["base64"]
-        image = Image.open(io.BytesIO(base64.b64decode(image_data)))
-        return image
-    else:
-        # Default for HF Inference and Replicate (which uses a MockResponse)
+        # Attempt to read the image from the response content
         image_bytes = response.content
         image = Image.open(io.BytesIO(image_bytes))
+        print(f'Generation {key} completed! ({prompt})')  # Debug log
         return image
-
-def handle_error_response(response):
-    """
-    Handles error responses from the API
-    """
-    if response.status_code == 400:
-        raise gr.Error(f"{response.status_code}: Bad Request - There might be an issue with the input parameters.")
-    elif response.status_code == 401:
-        raise gr.Error(f"{response.status_code}: Unauthorized - Please check your API token.")
-    elif response.status_code == 403:
-        raise gr.Error(f"{response.status_code}: Forbidden - You do not have permission to access this model.")
-    elif response.status_code == 404:
-        raise gr.Error(f"{response.status_code}: Not Found - The requested model could not be found.")
-    elif response.status_code == 503:
-        raise gr.Error(f"{response.status_code}: The model is being loaded. Please try again later.")
-    else:
-        raise gr.Error(f"{response.status_code}: An unexpected error occurred.")
+    except Exception as e:
+        # Handle any errors that occur when opening the image
+        print(f"Error while trying to open image: {e}")  # Debug log
+        return None
 
 # Custom CSS to hide the footer in the interface
 css = """
@@ -501,24 +398,9 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme_5') as dalle:
                 with gr.Row():
                     # Textbox for user to input the prompt
                     text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=3, elem_id="prompt-text-input")
-                with gr.Row():
-                    # Provider selection (new component)
-                    providers_list = [
-                        "hf-inference",  # Default Hugging Face Inference
-                        "fal-ai",        # Fal AI
-                        "nebius",        # Nebius
-                        "replicate",     # Replicate
-                        "together",      # Together AI
-                    ]
-                    provider_radio = gr.Radio(
-                        choices=providers_list,
-                        value="hf-inference",
-                        label="Inference Provider",
-                        info="Select the image generation provider"
-                    )
                 with gr.Row():
                     # Textbox for custom LoRA input
-                    custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path (optional, works with HF Inference only)", placeholder="multimodalart/vintage-ads-flux")
+                    custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path (optional)", placeholder="multimodalart/vintage-ads-flux")
                 with gr.Row():
                     # Accordion for selecting the model
                     with gr.Accordion("Featured Models", open=False):
@@ -633,7 +515,7 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme_5') as dalle:
                         )
 
                         # Radio buttons to select the desired model
-                        model = gr.Radio(label="Select a model below", value="FLUX.1 [Schnell]", choices=models_list, interactive=True, elem_id="model-radio", info="Note: Some models may only be available with specific providers")
+                        model = gr.Radio(label="Select a model below", value="FLUX.1 [Schnell]", choices=models_list, interactive=True, elem_id="model-radio")
 
                         # Filtering models based on search input
                         def filter_models(search_term):
@@ -726,43 +608,6 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme_5') as dalle:
             """
             )
 
-        # Accordion providing information about providers
-        with gr.Accordion("Provider Information", open=False):
-            gr.Markdown(
-            """
-            ## Inference Providers
-            
-            ### HF Inference
-            Hugging Face's Inference API provides access to a wide range of models hosted on the Hugging Face Hub.
-            - Supports all models listed in "Featured Models"
-            - Custom LoRA support
-            - Free tier available with API key
-            
-            ### Fal AI
-            Fal AI offers high-speed inference for image generation models.
-            - Optimized for speed
-            - Limited model selection compared to HF
-            - Requires Fal AI API key
-            
-            ### Nebius
-            Nebius Cloud provides image generation capabilities.
-            - Good performance for certain model types
-            - Requires Nebius API key
-            
-            ### Replicate
-            Replicate hosts many popular image generation models.
-            - Wide variety of fine-tuned models
-            - Simple API
-            - Requires Replicate API token
-            
-            ### Together AI
-            Together AI offers high-performance model hosting.
-            - Optimized for speed and quality
-            - Good selection of models
-            - Requires Together API key
-            """
-            )
-
         # Accordion providing an overview of advanced settings
         with gr.Accordion("Advanced Settings Overview", open=False):
             gr.Markdown(
@@ -799,51 +644,8 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme_5') as dalle:
     with gr.Row():
         image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
 
-    # Set up button click event to call the query function with the provider parameter
-    text_button.click(
-        query, 
-        inputs=[
-            text_prompt, 
-            model, 
-            custom_lora, 
-            negative_prompt, 
-            steps, 
-            cfg, 
-            method, 
-            seed, 
-            strength, 
-            width, 
-            height,
-            provider_radio  # Added provider parameter
-        ], 
-        outputs=image_output
-    )
-
-    # Function to update UI based on provider selection
-    def update_provider_ui(provider):
-        if provider == "hf-inference":
-            return [
-                gr.update(visible=True),  # custom_lora
-                gr.update(visible=True),  # models accordion
-                "Select a model or provide a custom LoRA"
-            ]
-        else:
-            return [
-                gr.update(visible=False),  # custom_lora
-                gr.update(visible=False),  # models accordion
-                f"Using {provider} provider - model selection handled by the provider"
-            ]
-    
-    # Update UI when provider changes
-    provider_radio.change(
-        update_provider_ui,
-        inputs=[provider_radio],
-        outputs=[
-            custom_lora,
-            gr.Accordion("Featured Models"),
-            gr.Textbox(label="Provider Status")
-        ]
-    )
+    # Set up button click event to call the query function
+    text_button.click(query, inputs=[text_prompt, model, custom_lora, negative_prompt, steps, cfg, method, seed, strength, width, height], outputs=image_output)
 
 print("Launching Gradio interface...")  # Debug log
 # Launch the Gradio interface without showing the API or sharing externally