Upload app (27).py

app (27).py

@@ -0,0 +1,186 @@
+# app.py (Versão com UI para Upscaler)
+
+import gradio as gr
+from PIL import Image
+import os
+import imageio
+
+# --- FUNÇÕES DE AJUDA PARA A UI ---
+TARGET_FIXED_SIDE = 768
+MIN_DIM_SLIDER = 256
+MAX_IMAGE_SIZE = 1280
+
+def calculate_new_dimensions(orig_w, orig_h):
+    if orig_w == 0 or orig_h == 0: return int(TARGET_FIXED_SIDE), int(TARGET_FIXED_SIDE)
+    if orig_w >= orig_h:
+        new_h, aspect_ratio = TARGET_FIXED_SIDE, orig_w / orig_h
+        new_w = round((new_h * aspect_ratio) / 32) * 32
+        new_w = max(MIN_DIM_SLIDER, min(new_w, MAX_IMAGE_SIZE))
+        new_h = max(MIN_DIM_SLIDER, min(new_h, MAX_IMAGE_SIZE)) 
+    else:
+        new_w, aspect_ratio = TARGET_FIXED_SIDE, orig_h / orig_w
+        new_h = round((new_w * aspect_ratio) / 32) * 32
+        new_h = max(MIN_DIM_SLIDER, min(new_h, MAX_IMAGE_SIZE))
+        new_w = max(MIN_DIM_SLIDER, min(new_w, MAX_IMAGE_SIZE))
+    return int(new_h), int(new_w)
+
+def handle_media_upload_for_dims(filepath, current_h, current_w):
+    if not filepath or not os.path.exists(str(filepath)): return gr.update(value=current_h), gr.update(value=current_w)
+    try:
+        if str(filepath).lower().endswith(('.png', '.jpg', '.jpeg', '.webp')):
+            with Image.open(filepath) as img:
+                orig_w, orig_h = img.size
+        else: # Assumir que é um vídeo
+            with imageio.get_reader(filepath) as reader:
+                meta = reader.get_meta_data()
+                orig_w, orig_h = meta.get('size', (current_w, current_h))
+        new_h, new_w = calculate_new_dimensions(orig_w, orig_h)
+        return gr.update(value=new_h), gr.update(value=new_w)
+    except Exception as e:
+        print(f"Erro ao processar mídia para dimensões: {e}")
+        return gr.update(value=current_h), gr.update(value=current_w)
+
+def update_frame_slider(duration):
+    fps = 24.0
+    max_frames = int(duration * fps)
+    new_value = 48 if max_frames >= 48 else max_frames // 2
+    return gr.update(maximum=max_frames, value=new_value)
+
+
+# --- FUNÇÃO WRAPPER PARA CHAMAR O SERVIÇO ---
+def gradio_generate_wrapper(
+    prompt, negative_prompt, mode,
+    start_image, middle_image, middle_frame, middle_weight, end_image, end_weight,
+    input_video, height, width, duration,
+    frames_to_use, seed, randomize_seed,
+    guidance_scale, enable_upscaler, adain_factor,
+    progress=gr.Progress(track_tqdm=True)
+):
+    try:
+        #output_path, used_seed = video_generation_service.generate(
+        #    prompt=prompt, negative_prompt=negative_prompt, mode=mode,
+        #    start_image_filepath=start_image,
+        #    middle_image_filepath=middle_image,
+        #    middle_frame_number=middle_frame,
+        #    middle_image_weight=middle_weight,
+        #    end_image_filepath=end_image,
+        #    end_image_weight=end_weight,
+        #    input_video_filepath=input_video,
+        #    height=int(height), width=int(width), duration=float(duration),
+        #    frames_to_use=int(frames_to_use), seed=int(seed),
+        #    randomize_seed=bool(randomize_seed), guidance_scale=float(guidance_scale),
+        #    enable_upscaler=bool(enable_upscaler),
+        #    adain_factor=float(adain_factor),
+        #    progress_callback=progress
+        #)
+        return None, None
+    except ValueError as e:
+        raise gr.Error(str(e))
+    except Exception as e:
+        print(f"Erro inesperado na geração: {e}")
+        raise gr.Error("Ocorreu um erro inesperado. Verifique os logs.")
+
+# --- DEFINIÇÃO DA INTERFACE GRADIO ---
+css = "#col-container { margin: 0 auto; max-width: 900px; }"
+with gr.Blocks(css=css) as demo:
+    gr.Markdown("# LTX Video com Keyframes e Latent Upscaler")
+    gr.Markdown("Gere vídeos em baixa resolução e opcionalmente duplique a resolução com um Upscaler.")
+
+    with gr.Row():
+        with gr.Column():
+            with gr.Tab("image-to-video (Keyframes)") as image_tab:
+                i2v_prompt = gr.Textbox(label="Prompt", value="Uma bela transição entre as imagens", lines=2)
+                with gr.Row():
+                    with gr.Column(scale=1):
+                        gr.Markdown("#### Keyframe de Início (Obrigatório)")
+                        start_image_i2v = gr.Image(label="Imagem de Início", type="filepath", sources=["upload", "clipboard"])
+                    with gr.Column(scale=1):
+                        with gr.Accordion("Keyframe do Meio (Opcional)", open=False):
+                            middle_image_i2v = gr.Image(label="Imagem do Meio", type="filepath", sources=["upload", "clipboard"]); middle_frame_i2v = gr.Slider(label="Frame Alvo", minimum=0, maximum=200, step=1, value=48); middle_weight_i2v = gr.Slider(label="Peso/Força", minimum=0.0, maximum=1.0, step=0.05, value=1.0)
+                    with gr.Column(scale=1):
+                        with gr.Accordion("Keyframe de Fim (Opcional)", open=False):
+                            end_image_i2v = gr.Image(label="Imagem de Fim", type="filepath", sources=["upload", "clipboard"]); end_weight_i2v = gr.Slider(label="Peso/Força", minimum=0.0, maximum=1.0, step=0.05, value=1.0)
+                i2v_button = gr.Button("Generate Image-to-Video", variant="primary")
+
+            with gr.Tab("text-to-video") as text_tab:
+                t2v_prompt = gr.Textbox(label="Prompt", value="A majestic dragon flying over a medieval castle", lines=3); t2v_button = gr.Button("Generate Text-to-Video", variant="primary")
+
+            with gr.Tab("video-to-video") as video_tab:
+                video_v2v = gr.Video(label="Input Video", sources=["upload", "webcam"]); frames_to_use = gr.Slider(label="Frames to use from input video", minimum=9, maximum=257, value=9, step=8, info="Must be N*8+1."); v2v_prompt = gr.Textbox(label="Prompt", value="Change the style to cinematic anime", lines=3); v2v_button = gr.Button("Generate Video-to-Video", variant="primary")
+            
+            duration_input = gr.Slider(label="Video Duration (seconds)", minimum=0.3, maximum=8.5, value=4, step=0.1)
+
+        with gr.Column():
+            output_video = gr.Video(label="Generated Video", interactive=False)
+
+    with gr.Accordion("Opções Avançadas", open=False):
+        mode = gr.Dropdown(["text-to-video", "image-to-video", "video-to-video"], label="task", value="image-to-video", visible=False)
+        
+        with gr.Accordion("Ajustes de Geração (Sampling)", open=True):
+            negative_prompt_input = gr.Textbox(label="Negative Prompt", value="worst quality, blurry, jittery", lines=2)
+            with gr.Row():
+                seed_input = gr.Number(label="Seed", value=42, precision=0)
+                randomize_seed_input = gr.Checkbox(label="Randomize Seed", value=True)
+            guidance_scale_input = gr.Slider(label="Guidance Scale (CFG)", minimum=1.0, maximum=10.0, value=3.0, step=0.1)
+        
+        with gr.Accordion("Dimensões do Vídeo (Base)", open=False):
+            with gr.Row():
+                height_input = gr.Slider(label="Height", value=512, step=32, minimum=MIN_DIM_SLIDER, maximum=MAX_IMAGE_SIZE)
+                width_input = gr.Slider(label="Width", value=704, step=32, minimum=MIN_DIM_SLIDER, maximum=MAX_IMAGE_SIZE)
+
+        with gr.Accordion("Configurações do Upscaler 2x (Etapa 2)", open=False):
+            with gr.Row():
+                enable_upscaler_input = gr.Checkbox(label="Enable Upscaler", value=True, info="Gera o vídeo final com o dobro da resolução base.")
+                adain_factor_input = gr.Slider(label="AdaIN Factor", minimum=0.0, maximum=2.0, value=1.0, step=0.05, info="Controla a transferência de estilo/cor para o vídeo ampliado.")
+
+    # --- LÓGICA DE EVENTOS DA UI ---
+    start_image_i2v.upload(fn=handle_media_upload_for_dims, inputs=[start_image_i2v, height_input, width_input], outputs=[height_input, width_input])
+    video_v2v.upload(fn=handle_media_upload_for_dims, inputs=[video_v2v, height_input, width_input], outputs=[height_input, width_input])
+    duration_input.change(fn=update_frame_slider, inputs=duration_input, outputs=middle_frame_i2v)
+    
+    image_tab.select(fn=lambda: "image-to-video", outputs=[mode])
+    text_tab.select(fn=lambda: "text-to-video", outputs=[mode])
+    video_tab.select(fn=lambda: "video-to-video", outputs=[mode])
+    
+    none_image = gr.Textbox(visible=False, value=None)
+    none_video = gr.Textbox(visible=False, value=None)
+    
+    shared_params = [
+        height_input, width_input, duration_input, frames_to_use, 
+        seed_input, randomize_seed_input, guidance_scale_input,
+        enable_upscaler_input, adain_factor_input
+    ]
+    
+    i2v_inputs = [i2v_prompt, negative_prompt_input, mode, start_image_i2v, middle_image_i2v, middle_frame_i2v, middle_weight_i2v, end_image_i2v, end_weight_i2v, none_video, *shared_params]
+    t2v_inputs = [t2v_prompt, negative_prompt_input, mode, none_image, none_image, gr.Number(value=-1, visible=False), gr.Slider(value=0, visible=False), none_image, gr.Slider(value=0, visible=False), none_video, *shared_params]
+    v2v_inputs = [v2v_prompt, negative_prompt_input, mode, none_image, none_image, gr.Number(value=-1, visible=False), gr.Slider(value=0, visible=False), none_image, gr.Slider(value=0, visible=False), video_v2v, *shared_params]
+    
+    common_outputs = [output_video, seed_input]
+    
+    i2v_button.click(fn=gradio_generate_wrapper, inputs=i2v_inputs, outputs=common_outputs, api_name="image_to_video_keyframes")
+    t2v_button.click(fn=gradio_generate_wrapper, inputs=t2v_inputs, outputs=common_outputs, api_name="text_to_video")
+    v2v_button.click(fn=gradio_generate_wrapper, inputs=v2v_inputs, outputs=common_outputs, api_name="video_to_video")
+
+# --- <INÍCIO DA ATUALIZAÇÃO> ---
+if __name__ == "__main__":
+    import sys
+    
+    # Define os padrões de inicialização
+    share_option = False
+    server_name = "127.0.0.1"
+
+    # Verifica se argumentos foram passados na linha de comando
+    if '--share' in sys.argv:
+        share_option = True
+        print("Iniciando com a opção de compartilhamento público (share=True)")
+
+    if '--listen' in sys.argv:
+        server_name = "0.0.0.0"
+        print("Iniciando para ser acessível na rede local (listen)")
+
+    # Inicia a aplicação com as opções definidas
+    demo.queue().launch(
+        debug=True, 
+        share=share_option,
+        server_name=server_name
+    )