Flux_lora

README.md

@@ -1,10 +1,10 @@
 ---
-title: FLUX.Dev LoRA Serverless
-emoji: 💻
+title: FLUX.Dev LORA Serverless
+emoji: 🔥
 colorFrom: pink
 colorTo: purple
 sdk: gradio
-sdk_version: 4.44.1
+sdk_version: 4.43.0
 app_file: app.py
 pinned: true
 license: mit

app.py

@@ -13,21 +13,7 @@ API_TOKEN = os.getenv("HF_READ_TOKEN")
 headers = {"Authorization": f"Bearer {API_TOKEN}"}
 timeout = 100
 
-article_text = """
-<div style="text-align: center;">
-    <p>Enjoying the tool? Buy me a coffee and get exclusive prompt guides!</p>
-    <p><i>Instantly unlock helpful tips for creating better prompts!</i></p>
-    <div style="display: flex; justify-content: center;">
-        <a href="https://piczify.lemonsqueezy.com/buy/0f5206fa-68e8-42f6-9ca8-4f80c587c83e">
-            <img src="https://www.buymeacoffee.com/assets/img/custom_images/yellow_img.png" 
-                 alt="Buy Me a Coffee" 
-                 style="height: 40px; width: auto; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); border-radius: 10px;">
-        </a>
-    </div>
-</div>
-"""
-
-def query(lora_id, prompt, steps=28, cfg_scale=3.5, randomize_seed=True, seed=-1, width=1024, height=1024):
+def query(lora_id, prompt, is_negative=False, steps=28, cfg_scale=3.5, sampler="DPM++ 2M Karras", seed=-1, strength=0.7):
     if prompt == "" or prompt == None:
         return None
 
@@ -41,25 +27,21 @@ def query(lora_id, prompt, steps=28, cfg_scale=3.5, randomize_seed=True, seed=-1
     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}')
+    print(f'\033[1mGeneration {key}:\033[0m {prompt}')
 
     # If seed is -1, generate a random seed and use it
-    if randomize_seed:
-        seed = random.randint(1, 4294967296)
+    if seed == -1:
+        seed = random.randint(1, 1000000000)
     
     payload = {
         "inputs": prompt,
         "steps": steps,
         "cfg_scale": cfg_scale,
         "seed": seed,
-        "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)
@@ -74,7 +56,7 @@ def query(lora_id, prompt, steps=28, cfg_scale=3.5, randomize_seed=True, seed=-1
         image_bytes = response.content
         image = Image.open(io.BytesIO(image_bytes))
         print(f'\033[1mGeneration {key} completed!\033[0m ({prompt})')
-        return image, seed, seed
+        return image, seed
     except Exception as e:
         print(f"Error when trying to open the image: {e}")
         return None
@@ -87,59 +69,43 @@ examples = [
 ]
 
 css = """
-#col-container {
-    margin: 0 auto;
-    max-width: 960px;
-}
-.generate-btn {
-    background: linear-gradient(90deg, #4B79A1 0%, #283E51 100%) !important;
-    border: none !important;
-    color: white !important;
-}
-.generate-btn:hover {
-    transform: translateY(-2px);
-    box-shadow: 0 5px 15px rgba(0,0,0,0.2);
+#app-container {
+    max-width: 600px;
+    margin-left: auto;
+    margin-right: auto;
 }
 """
 
-with gr.Blocks(css=css) as app:
+with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
     gr.HTML("<center><h1>FLUX.1-Dev with LoRA support</h1></center>")
-    with gr.Column(elem_id="col-container"):
+    with gr.Column(elem_id="app-container"):
         with gr.Row():
-            with gr.Column():
+            with gr.Column(elem_id="prompt-container"):
                 with gr.Row():
-                    text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=3, elem_id="prompt-text-input")
+                    text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
                 with gr.Row():
                     custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path (optional)", placeholder="multimodalart/vintage-ads-flux")
                 with gr.Row():
                     with gr.Accordion("Advanced Settings", open=False):
-                        with gr.Row():
-                            width = gr.Slider(label="Width", value=1024, minimum=64, maximum=1216, step=8)
-                            height = gr.Slider(label="Height", value=1024, minimum=64, maximum=1216, step=8)
-                        seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=4294967296, step=1)
-                        randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-                        with gr.Row():
-                            steps = gr.Slider(label="Sampling steps", value=28, minimum=1, maximum=100, step=1)
-                            cfg = gr.Slider(label="CFG Scale", value=3.5, minimum=1, maximum=20, step=0.5)
-                        # method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
+                        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, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
+                        steps = gr.Slider(label="Sampling steps", value=28, minimum=1, maximum=100, step=1)
+                        cfg = gr.Slider(label="CFG Scale", value=3.5, minimum=1, maximum=20, step=0.5)
+                        method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
+                        strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
+                        seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
 
-                with gr.Row():
-                    # text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
-                    text_button = gr.Button("✨ Generate Image", variant='primary', elem_classes=["generate-btn"])
-            with gr.Column():
-                with gr.Row():
-                    image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
-                with gr.Row():
-                    seed_output = gr.Textbox(label="Seed Used", show_copy_button = True)
-        
-        gr.Markdown(article_text)
-        with gr.Column():
-            gr.Examples(
-                examples = examples,
-                inputs = [text_prompt],
-            )
+        with gr.Row():
+            text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
+        with gr.Row():
+            image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
+        with gr.Row():
+            seed_output = gr.Textbox(label="Seed Used", show_copy_button = True, elem_id="seed-output")
 
+        gr.Examples(
+            examples = examples,
+            inputs = [text_prompt],
+        )
         
-        text_button.click(query, inputs=[custom_lora, text_prompt, steps, cfg, randomize_seed, seed, width, height], outputs=[image_output,seed_output, seed])
+        text_button.click(query, inputs=[custom_lora, text_prompt, negative_prompt, steps, cfg, method, seed, strength], outputs=[image_output,seed_output])
 
 app.launch(show_api=False, share=False)