Update app.py

app.py

@@ -133,7 +133,163 @@ with gr.Blocks(theme=theme, fill_width=True, css=css) as app:
                                         - **flux-lora-pro-headshot**: PROHEADSHOT
                             		""")
                         with gr.Row():
-                            custom_lora = gr.Dropdown(label="Select Model", choices=list(loaded_models.keys()), value=list(loaded_models.keys())[0], allow_custom_value=True)
+                            custom_lora = 
+FLUX.Dev-LORA
+/ app.py
+DigiP-AI's picture
+DigiP-AI
+Update app.py
+9026664
+verified
+1 day ago
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+edit
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+11.8 kB
+#!/usr/bin/env python
+import gradio as gr
+import requests
+import io
+import random
+import os
+import time
+import numpy as np
+import subprocess
+import torch
+import json
+import uuid
+import spaces
+from typing import Tuple
+from transformers import AutoProcessor, AutoModelForCausalLM
+from PIL import Image
+from deep_translator import GoogleTranslator
+from datetime import datetime
+from theme import theme
+from typing import Tuple
+from fastapi import FastAPI
+
+app = FastAPI()
+
+
+
+API_TOKEN = os.getenv("HF_READ_TOKEN")
+headers = {"Authorization": f"Bearer {API_TOKEN}"}
+timeout = 100
+
+def flip_image(x):
+    return np.fliplr(x)
+
+def clear():
+  return None    
+
+def query(lora_id, prompt, is_negative=False, steps=28, cfg_scale=3.5, sampler="DPM++ 2M Karras", seed=-1, strength=100, width=896, height=1152):
+    if prompt == "" or prompt == None:
+        return None
+
+    if lora_id.strip() == "" or lora_id == None:
+        lora_id = "black-forest-labs/FLUX.1-dev"
+
+    key = random.randint(0, 999)
+
+    API_URL = "https://api-inference.huggingface.co/models/"+ lora_id.strip()
+
+    API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN")])
+    headers = {"Authorization": f"Bearer {API_TOKEN}"}
+    
+    # prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
+    # print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
+    prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
+    print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
+
+    prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
+    print(f'\033[1mGeneration {key}:\033[0m {prompt}')
+
+    # If seed is -1, generate a random seed and use it
+    if seed == -1:
+        seed = random.randint(1, 1000000000)
+
+    # Prepare the payload for the API call, including width and height
+    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,  # Pass the width to the API
+            "height": height  # Pass the height to the API
+        }
+    }
+
+    response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
+    if response.status_code != 200:
+        print(f"Error: Failed to get image. Response status: {response.status_code}")
+        print(f"Response content: {response.text}")
+        if response.status_code == 503:
+            raise gr.Error(f"{response.status_code} : The model is being loaded")
+        raise gr.Error(f"{response.status_code}")
+
+    try:
+        image_bytes = response.content
+        image = Image.open(io.BytesIO(image_bytes))
+        print(f'\033[1mGeneration {key} completed!\033[0m ({prompt})')
+        return image, seed
+    except Exception as e:
+        print(f"Error when trying to open the image: {e}")
+        return None
+
+examples = [
+    "a beautiful woman with blonde hair and blue eyes",
+    "a beautiful woman with brown hair and grey eyes",
+    "a beautiful woman with black hair and brown eyes",
+]
+
+css = """
+#app-container {
+    max-width: 930px;
+    margin-left: auto;
+    margin-right: auto;
+}
+".gradio-container {background: url('file=abstract.jpg')}
+   
+"""
+with gr.Blocks(theme=theme, css=css, elem_id="app-container") as app:
+    gr.HTML("<center><h6>🎨 FLUX.1-Dev with LoRA 🇬🇧</h6></center>")
+    with gr.Tab("Text to Image"):
+        with gr.Column(elem_id="app-container"):
+            with gr.Row():
+                with gr.Column(elem_id="prompt-container"):
+                    with gr.Group():
+                        with gr.Row():
+                            text_prompt = gr.Textbox(label="Image Prompt ✍️", placeholder="Enter a prompt here", lines=2, show_copy_button = True, elem_id="prompt-text-input")
+                        with gr.Row():
+                            with gr.Accordion("🎨 Lora trigger words", open=False):
+                            		gr.Markdown("""
+                                        - **Canopus-Pencil-Art-LoRA**: Pencil Art
+                                        - **Flux-Realism-FineDetailed**: Fine Detailed
+                                        - **Fashion-Hut-Modeling-LoRA**: Modeling
+                                        - **SD3.5-Large-Turbo-HyperRealistic-LoRA**: hyper realistic
+                                        - **Flux-Fine-Detail-LoRA**: Super Detail
+                                        - **SD3.5-Turbo-Realism-2.0-LoRA**: Turbo Realism
+                                        - **Canopus-LoRA-Flux-UltraRealism-2.0**: Ultra realistic 
+                                        - **Canopus-Pencil-Art-LoRA**: Pencil Art
+                                        - **SD3.5-Large-Photorealistic-LoRA**: photorealistic
+                                        - **Flux.1-Dev-LoRA-HDR-Realism**: HDR
+                                        - **prithivMLmods/Ton618-Epic-Realism-Flux-LoRA**: Epic Realism
+                                        - **john-singer-sargent-style**: John Singer Sargent Style
+                                        - **alphonse-mucha-style**: Alphonse Mucha Style
+                                        - **ultra-realistic-illustration**: ultra realistic illustration
+                                        - **eye-catching**: eye-catching
+                                        - **john-constable-style**: John Constable Style
+                                        - **film-noir**: in the style of FLMNR
+                                        - **flux-lora-pro-headshot**: PROHEADSHOT
+                            		""")                       
+                                
+                        with gr.Row():
+                            custom_lora = gr.Dropdown([" ", "prithivMLmods/Canopus-Pencil-Art-LoRA", "prithivMLmods/Flux-Realism-FineDetailed", "prithivMLmods/Fashion-Hut-Modeling-LoRA", "prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA", "prithivMLmods/Flux-Fine-Detail-LoRA", "prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA", "hugovntr/flux-schnell-realism", "fofr/sdxl-deep-down", "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0", "prithivMLmods/Canopus-Realism-LoRA", "prithivMLmods/Canopus-LoRA-Flux-FaceRealism", "prithivMLmods/SD3.5-Large-Photorealistic-LoRA", "prithivMLmods/Flux.1-Dev-LoRA-HDR-Realism", "prithivMLmods/Ton618-Epic-Realism-Flux-LoRA", "KappaNeuro/john-singer-sargent-style", "KappaNeuro/alphonse-mucha-style", "ntc-ai/SDXL-LoRA-slider.ultra-realistic-illustration", "ntc-ai/SDXL-LoRA-slider.eye-catching", "KappaNeuro/john-constable-style", "dvyio/flux-lora-film-noir", "dvyio/flux-lora-pro-headshot"], label="Custom LoRA",)
                     with gr.Accordion("Advanced options", open=False):
                         negative_prompt = gr.Textbox(label="Negative Prompt", lines=5, placeholder="What should not be in the image", value="(((hands:-1.25))), physical-defects:2, unhealthy-deformed-joints:2, unhealthy-hands:2, out of frame, (((bad face))), (bad-image-v2-39000:1.3), (((out of frame))), deformed body features,  (((poor facial details))), (poorly drawn face:1.3), jpeg artifacts, (missing arms:1.1), (missing legs:1.1), (extra arms:1.2), (extra legs:1.2), [asymmetrical features], warped expressions, distorted eyes")
                         with gr.Row(equal_height=True):