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updated guidance / models

README.md

@@ -36,6 +36,7 @@ All models are opensource and available on HuggingFace.
 ### Diffusion
 
 - **Random**
+- **fal/AuraFlow**
 - **stabilityai/stable-diffusion-3-medium**
 - **stabilityai/stable-diffusion-xl-base-1.0**
 - **nerijs/pixel-art-xl**

main.py

@@ -11,10 +11,10 @@ from starlette.responses import StreamingResponse
 import re
 from datetime import datetime
 import json
-import time
 import requests
 import base64
 import os 
+import time
 from PIL import Image
 from io import BytesIO
 import aiohttp
@@ -37,7 +37,7 @@ load_dotenv()
 token = os.environ.get("HF_TOKEN")
 login(token)
 
-prompt_model = "meta-llama/Meta-Llama-3-8B-Instruct"
+prompt_model = "meta-llama/Meta-Llama-3.1-8B-Instruct"
 magic_prompt_model = "Gustavosta/MagicPrompt-Stable-Diffusion"
 options = {"use_cache": False, "wait_for_model": True}
 parameters = {"return_full_text":False, "max_new_tokens":300}
@@ -65,26 +65,22 @@ class Core(BaseModel):
 async def core():
     if not os.path.exists(pictures_directory):
         os.makedirs(pictures_directory)
-    files = sorted([f for f in os.listdir(pictures_directory) if f.endswith('.json')])
-    first_100_files = files[:100]
-    for file in files[100:]:
-        os.remove(os.path.join(pictures_directory, file))
-    
     async def generator():
         # Start JSON array
         yield '['
         first = True
-        for filename in first_100_files:
-            file_path = os.path.join(pictures_directory, filename)
-            with open(file_path, 'r') as file:
-                data = json.load(file)
-                
-                # For JSON formatting, ensure only the first item doesn't have a preceding comma
-                if first:
-                    first = False
-                else:
-                    yield ','
-                yield json.dumps({"base64": data["base64image"], "prompt": data["returnedPrompt"]})
+        for filename in os.listdir(pictures_directory):
+            if filename.endswith('.json'):
+                file_path = os.path.join(pictures_directory, filename)
+                with open(file_path, 'r') as file:
+                    data = json.load(file)
+                    
+                    # For JSON formatting, ensure only the first item doesn't have a preceding comma
+                    if first:
+                        first = False
+                    else:
+                        yield ','
+                    yield json.dumps({"base64": data["base64image"], "prompt": data["returnedPrompt"]})
         # End JSON array
         yield ']'
 
@@ -102,7 +98,7 @@ def getPrompt(prompt, modelID, attempts=1):
             ]
         input = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
     try:
-        apiData={"inputs":input, "parameters": parameters, "options": options}
+        apiData={"inputs":input, "parameters": parameters, "options": options, "timeout": 45}
         response = requests.post(API_URL + modelID, headers=headers, data=json.dumps(apiData))
         if response.status_code == 200:
             try:
@@ -145,19 +141,15 @@ async def wake_model(modelID):
     except Exception as e:
         print(f"An error occurred: {e}")        
 
-
 def formatReturn(result):
-    if isinstance(result, str):
-        if not os.path.isfile(result):
-            print('what')
-            result = BytesIO(base64.b64decode(result))
-    else:
-        result = BytesIO(result)
     img = Image.open(result)
-    img.save("response.png")
+    img.save("test.png")
     img_byte_arr = BytesIO()
     img.save(img_byte_arr, format='PNG')
-    return base64.b64encode(img_byte_arr.getvalue()).decode('utf-8')
+    img_byte_arr = img_byte_arr.getvalue()
+    base64_img = base64.b64encode(img_byte_arr).decode('utf-8')
+    
+    return base64_img
 
 def save_image(base64image, item, model, NSFW):
     if not NSFW:
@@ -188,7 +180,8 @@ def gradioAuraFlow(item):
             num_inference_steps=item.steps,
             api_name="/infer"
     )
-    return formatReturn(result[0])
+    print(result[0])
+    return formatReturn(result[0]["value"])
 
 def gradioHatmanInstantStyle(item):
     client = Client("Hatman/InstantStyle")
@@ -230,23 +223,27 @@ def lambda_image(prompt, modelID):
         response_data = json.loads(response_payload)
     except Exception as e:
         print(f"An error occurred: {e}")     
-    
-    return formatReturn(response_data['body'])
+
+    return response_data['body']
 
 def inferenceAPI(model, item, attempts = 1):
+    print(model)
     if attempts > 5:
         return 'An error occured when Processing', model
     prompt = item.prompt
     if "dallinmackay" in model:
         prompt = "lvngvncnt, " + item.prompt
-    data = {"inputs":prompt, "negative_prompt": perm_negative_prompt, "options":options}
+    data = {"inputs":prompt, "negative_prompt": perm_negative_prompt, "options":options, "timeout": 45}
     api_data = json.dumps(data)
     try:
         response = requests.request("POST", API_URL + model, headers=headers, data=api_data)
         if response is None:
             inferenceAPI(get_random_model(activeModels['text-to-image']), item, attempts+1) 
-        base64_img = formatReturn(response.content)
-        
+        image_stream = BytesIO(response.content)
+        image = Image.open(image_stream)
+        image.save("response.png")
+        with open('response.png', 'rb') as f:
+            base64_img = base64.b64encode(f.read()).decode('utf-8')
         return model, base64_img
     except Exception as e:
         print(f'Error When Processing Image: {e}')
@@ -291,18 +288,15 @@ def nsfw_check(attempts = 1):
         with open('response.png', 'rb') as f:
             data = f.read()
         response = requests.request("POST", API_URL, headers=headers, data=data)
-        decoded_response = json.loads(response.content.decode("utf-8"))
-        if 'error' in decoded_response:
-            print(f'Error in NSFW Check: {decoded_response}')
-            time.sleep(int(decoded_response["estimated_time"]))
-            return nsfw_check(attempts+1)
-        print(decoded_response)
-        scores = {item['label']: item['score'] for item in decoded_response}
+        print(response.content.decode("utf-8"))
+        scores = {item['label']: item['score'] for item in json.loads(response.content.decode("utf-8"))}
         error_msg = True if scores.get('nsfw') > scores.get('normal') else False
         return error_msg
     except Exception as e:
+        loadTime = json.load(response.content.decode("utf-8"))
+        time.sleep(loadTime["estimated_time"])
         print(f'NSFW Check Error: {e}')
-        if attempts > 3:
+        if attempts > 30:
             return True
         return nsfw_check(attempts+1)
     
@@ -335,8 +329,8 @@ async def inference(item: Item):
         elif item.modelID not in activeModels['text-to-image']:
             asyncio.create_task(wake_model(item.modelID))
             return {"output": "Model Waking"}  
-        else:  
-            model, base64_img = inferenceAPI(model, item)
+        else:
+            base64_img, model = inferenceAPI(item.modelID, item)
         if 'error' in base64_img:
             return {"output": base64_img, "model": model}
         NSFW = nsfw_check()

web-build/asset-manifest.json

@@ -1,7 +1,7 @@
 {
   "files": {
-    "main.js": "/static/js/main.b46a4b05.js",
-    "static/js/23.aed00c51.js": "/static/js/23.aed00c51.js",
+    "main.js": "/static/js/main.4ffd0498.js",
+    "static/js/23.a0d519db.js": "/static/js/23.a0d519db.js",
     "static/media/Sigmar-Regular.ttf": "/static/media/Sigmar-Regular.daeeaca2f7490cb1c50c.ttf",
     "static/media/avocado.jpg": "/static/media/avocado.667d95040b7743f10475.jpg",
     "static/media/expand.wav": "/static/media/expand.b5b6ef947e392b34f3a7.wav",
@@ -21,11 +21,11 @@
     "index.html": "/index.html",
     "serve.json": "/serve.json",
     "manifest.json": "/manifest.json",
-    "main.b46a4b05.js.map": "/static/js/main.b46a4b05.js.map",
-    "23.aed00c51.js.map": "/static/js/23.aed00c51.js.map"
+    "main.4ffd0498.js.map": "/static/js/main.4ffd0498.js.map",
+    "23.a0d519db.js.map": "/static/js/23.a0d519db.js.map"
   },
   "entrypoints": [
-    "static/js/23.aed00c51.js",
-    "static/js/main.b46a4b05.js"
+    "static/js/23.a0d519db.js",
+    "static/js/main.4ffd0498.js"
   ]
 }

web-build/index.html

@@ -1 +1 @@
-<!doctype html><html lang="en"><head><meta charset="utf-8"/><meta httpequiv="X-UA-Compatible" content="IE=edge"/><meta name="viewport" content="width=device-width,initial-scale=1,minimum-scale=1,maximum-scale=1.00001,viewport-fit=cover"/><title>Pixel Prompt Frontend</title><style>#root,body,html{width:100%;-webkit-overflow-scrolling:touch;margin:0;padding:0;min-height:100%}#root{flex-shrink:0;flex-basis:auto;flex-grow:1;display:flex;flex:1}html{scroll-behavior:smooth;-webkit-text-size-adjust:100%;height:calc(100% + env(safe-area-inset-top))}body{display:flex;overflow-y:auto;overscroll-behavior-y:none;text-rendering:optimizeLegibility;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale;-ms-overflow-style:scrollbar}</style><link rel="manifest" href="\manifest.json"><meta name="mobile-web-app-capable" content="yes"><meta name="apple-mobile-web-app-capable" content="yes"><meta name="apple-touch-fullscreen" content="yes"><meta name="apple-mobile-web-app-title" content="Pixel Prompt Frontend"><meta name="apple-mobile-web-app-status-bar-style" content="black-translucent"><script defer="defer" src="/static/js/23.aed00c51.js"></script><script defer="defer" src="/static/js/main.b46a4b05.js"></script></head><body><noscript><form action="" style="background-color:#fff;position:fixed;top:0;left:0;right:0;bottom:0;z-index:9999"><div style="font-size:18px;font-family:Helvetica,sans-serif;line-height:24px;margin:10%;width:80%"><p>Oh no! It looks like JavaScript is not enabled in your browser.</p><p style="margin:20px 0"><button type="submit" style="background-color:#4630eb;border-radius:100px;border:none;box-shadow:none;color:#fff;cursor:pointer;font-weight:700;line-height:20px;padding:6px 16px">Reload</button></p></div></form></noscript><div id="root"></div></body></html>
+<!doctype html><html lang="en"><head><meta charset="utf-8"/><meta httpequiv="X-UA-Compatible" content="IE=edge"/><meta name="viewport" content="width=device-width,initial-scale=1,minimum-scale=1,maximum-scale=1.00001,viewport-fit=cover"/><title>Pixel Prompt Frontend</title><style>#root,body,html{width:100%;-webkit-overflow-scrolling:touch;margin:0;padding:0;min-height:100%}#root{flex-shrink:0;flex-basis:auto;flex-grow:1;display:flex;flex:1}html{scroll-behavior:smooth;-webkit-text-size-adjust:100%;height:calc(100% + env(safe-area-inset-top))}body{display:flex;overflow-y:auto;overscroll-behavior-y:none;text-rendering:optimizeLegibility;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale;-ms-overflow-style:scrollbar}</style><link rel="manifest" href="/manifest.json"><meta name="mobile-web-app-capable" content="yes"><meta name="apple-mobile-web-app-capable" content="yes"><meta name="apple-touch-fullscreen" content="yes"><meta name="apple-mobile-web-app-title" content="Pixel Prompt Frontend"><meta name="apple-mobile-web-app-status-bar-style" content="black-translucent"><script defer="defer" src="/static/js/23.a0d519db.js"></script><script defer="defer" src="/static/js/main.4ffd0498.js"></script></head><body><noscript><form action="" style="background-color:#fff;position:fixed;top:0;left:0;right:0;bottom:0;z-index:9999"><div style="font-size:18px;font-family:Helvetica,sans-serif;line-height:24px;margin:10%;width:80%"><p>Oh no! It looks like JavaScript is not enabled in your browser.</p><p style="margin:20px 0"><button type="submit" style="background-color:#4630eb;border-radius:100px;border:none;box-shadow:none;color:#fff;cursor:pointer;font-weight:700;line-height:20px;padding:6px 16px">Reload</button></p></div></form></noscript><div id="root"></div></body></html>

web-build/static/js/23.a0d519db.js.LICENSE.txt

@@ -0,0 +1,50 @@
+/*!
+ * The buffer module from node.js, for the browser.
+ *
+ * @author   Feross Aboukhadijeh <https://feross.org>
+ * @license  MIT
+ */
+
+/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */
+
+/*! safe-buffer. MIT License. Feross Aboukhadijeh <https://feross.org/opensource> */
+
+/**
+ * @license React
+ * react-dom.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @license React
+ * react-jsx-runtime.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @license React
+ * react.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/**
+ * @license React
+ * scheduler.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */

web-build/static/js/main.4ffd0498.js

@@ -0,0 +1,2 @@
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fractal","Holographic cyberpunk bodysuit with circuit patterns glowing neon","Retro-futuristic spacesuit with ornate brass fittings and porthole","Ethereal celestial gown with sleeves like iridescent nebulas","Gothic mourning dress with wispy chiffon and jet beadwork","Bioluminescent deep sea evening gown with shimmering patterns","Haute couture ballgown with surreal melting clock elements","Psychedelic tiedye jumpsuit shifting in vibrant kaleidoscopic hues","Exquisite fractal lace patterns on Victorian lingerie undergarments","Tron-inspired light cycle racing suit electrified with glowing lines","Elegant gown inspired by Art Nouveau organic floral motifs","Alien ceremonial robes shimmering like a gaseous nebula\'s glow","Sleek latex catsuit with holographic iridescent rainbow sheens","Medieval fantasty wizard\'s robes with arcane geometric patterns","Post-apocalyptic tribal garb made from scavenged materials","Neon dreamscape kimono with swirling optical illusion patterns","Glamorous feathered flapper dress from a 1920\'s speakeasy","Ceremonial shibori dyed and embroidered Japanese Kusazuri robe","Retro silver spacesuit with vintage fishing bowler and cableknit","Flowing Issey Miyake pleated heat-ray dress in origami folds","Cyberpunk biker\'s armored jacket with tribal circuit patterns","Evening dress appearing to defy gravity with upswept hemline","Safari explorer\'s outfit with utility pockets & pith helmet","Vivienne Westwood bondage trouser with shocking zippers seams","Alexander McQueen kaleidoscopic skull-lace camouflage gown","Iris van Herpen crystalline 3D printed plastic haute couture","Phosphorescent deep sea diver\'s suit glowing bioluminescent","Hand-woven huipil with intricate brocade and Mayan glyphs","Fairy princess gown with delicate dragonfly gossamer wings","Baroque corseted ballgown with gravity-defying panniers","Cloak fashioned from iridescent feathers of tropical birds","Rococco gentleman\'s waistcoat with ornate metallic embroidery","Armor suit crafted from shining articulated mirrored plates","Grecian diaphanous goddess gown fluttering ethereal layers","Zoot suit made of light refracting prismatic holographic panels","Haute couture rose made from thousands of delicate woven stems","Warrior maiden\'s corseted leather outfit with sigil accents","Victorian horsehair woven evening shawl embroidered in jet","Fantasy armored breastplate with magical runes and emblems","Floral tea dress with intricate vintage chintz patchwork","Metallic foil lam\xe9 disco jumpsuit embellished with rhinestones","Delicate etherial organza opera coat with feather epaulets","Street punk leather spiked bracers and dog collar ensemble","Avant-garde sculptural garment with non-euclidean geometry","Billowing bridal gown train made of thousands of butterflies","Ragged steam-punk dystopian overcoat made from industrial scraps","Ornate coronation ceremonial cape with ermine and fleurs-de-lis","Psychedelic hypnotic swirling tiedye caftans and dashikis","Opulent Elizabethan ruffs and doublets with slashed sleeves","Harajuku Decora streetwear layered with toys and accessories","Gaslit cobblestone streets shrouded in thick pea soup fog","Hansom cabs waiting outside the grand entrance of Buckingham Palace","Street urchins playing amid the squalor of Dickensian slums","Bustling crowds flowing across the iconic Tower Bridge","Opulent interior of the Theatre Royal, Drury Lane","Chimney sweeps scampering across soot-stained rooftops at dusk","Formidable iron warships patrolling the churning waters of the Thames","Laughing gallery at Bedlam Asylum with restrained inmates","Underground tunnels of the Mail Rail delivery system","Hazy golden light filtering through stained glass at Westminster Abbey","Overcrowded debtors\' prison with families huddled in squalor","Book-lined reading room of the British Museum Library","Back alleys reeking of offal from Smithfield\'s meat market","Circus elephants parading through crowded Piccadilly 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