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Update app.py
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app.py
CHANGED
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"""
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Camera Control App with Working Arrow Interface
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Complete version with Qwen model integration
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"""
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import gradio as gr
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import torch
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import numpy as np
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import random
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import spaces
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from diffusers import DiffusionPipeline
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import base64
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from io import BytesIO
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# Model
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device = "cuda" if torch.cuda.is_available() else "cpu"
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dtype = torch.bfloat16 if torch.cuda.is_available() and torch.cuda.is_bf16_supported() else torch.float16
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pipe = None
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def load_model():
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"""Load the
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global pipe
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if pipe is None:
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pipe =
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"
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torch_dtype=dtype
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).to(device)
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pipe.load_lora_weights(
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return pipe
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# Camera
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0: "front view",
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45: "front-right quarter view",
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90: "right side view",
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135: "back-right quarter view",
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180: "back view",
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225: "back-left quarter view",
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270: "left side view",
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315: "front-left quarter view"
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}
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-30: "low-angle shot",
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0: "eye-level shot",
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30: "elevated shot",
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60: "high-angle shot"
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}
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0.6: "close-up",
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1.0: "medium shot",
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1.8: "wide shot"
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}
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def snap_to_nearest(value, steps):
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"""Snap
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return min(steps, key=lambda x: abs(x - value))
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def build_camera_prompt(azimuth, elevation, distance):
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"""Build camera prompt from
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azimuth_steps = [0, 45, 90, 135, 180, 225, 270, 315]
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elevation_steps = [-30, 0, 30, 60]
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distance_steps = [0.6, 1.0, 1.8]
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return f"<sks> {
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@spaces.GPU(duration=5)
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def infer_camera_edit(
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image: Image.Image,
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azimuth: float = 0.0,
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elevation: float = 0.0,
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distance: float = 1.0,
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seed: int = 0,
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randomize_seed: bool = True,
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guidance_scale: float = 1.0,
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num_inference_steps: int = 4,
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height: int = 1024,
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width: int = 1024,
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):
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"""Generate new camera view using Qwen model."""
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prompt = build_camera_prompt(azimuth, elevation, distance)
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print(f"Generated Prompt: {prompt}")
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator(device=device).manual_seed(seed)
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image=[pil_image],
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prompt=prompt,
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height=height
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width=width
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num_inference_steps=num_inference_steps,
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generator=generator,
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guidance_scale=guidance_scale,
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).images[0]
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return result, seed, prompt
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def create_camera_control_app():
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"""Create the complete
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with gr.Blocks(title="Camera Control with Directional Arrows"
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gr.Markdown("# 📸 Camera Control with Directional Arrows")
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gr.Markdown("Upload an image and use
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with gr.Row():
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# Left column:
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with gr.Column(scale=1):
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image = gr.Image(label="Upload Image", type="pil", height=400)
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# Camera parameter inputs (visible for debugging
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js_azimuth = gr.Textbox("0", visible=True, elem_id="js-azimuth", label="Azimuth")
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js_elevation = gr.Textbox("0", visible=True, elem_id="js-elevation", label="Elevation")
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js_distance = gr.Textbox("1.0", visible=True, elem_id="js-distance", label="Distance")
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prompt_display = gr.Textbox(
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label="Current Camera Prompt",
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value="<sks> front view eye-level shot medium shot",
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interactive=False
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)
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with gr.Accordion("⚙️ Advanced Settings", open=False):
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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guidance_scale = gr.Slider(
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label="Guidance scale",
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minimum=0.1,
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maximum=2.0,
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step=0.1,
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value=1.0,
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)
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num_inference_steps = gr.Slider(
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label="Number of inference steps",
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minimum=1,
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maximum=8,
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step=1,
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value=4,
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)
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with gr.Row():
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height = gr.Slider(
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label="Height",
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minimum=256,
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maximum=1024,
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step=32,
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value=1024,
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)
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width = gr.Slider(
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label="Width",
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minimum=256,
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maximum=1024,
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step=32,
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value=1024,
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)
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# Right column: Interactive image view
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with gr.Column(scale=1):
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gr.Markdown("### 🎯 Interactive Image View")
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gr.Markdown("*Upload an image, then hover to see
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# Interactive HTML component using working pattern
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result_display = gr.HTML(
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value
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<div style
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position: relative; display: flex; align-items: center; justify-content: center
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<div style
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<div style
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<p>Upload an image on the left to begin</p>
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<p>Then hover here to see camera controls</p>
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</div>
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</div>
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elem_id="result-display"
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)
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def update_dimensions_on_upload(input_image):
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\"\"\"Compute recommended dimensions preserving aspect ratio.\"\"\"
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if input_image is None:
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return 1024, 1024
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original_width, original_height = input_image.size
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aspect_ratio = original_width / original_height
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if aspect_ratio > 1:
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# Landscape
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new_width = 1024
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new_height = round(1024 / aspect_ratio / 32) * 32
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else:
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# Portrait or square
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new_height = 1024
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new_width = round(1024 * aspect_ratio / 32) * 32
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# Ensure minimum size
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new_width = max(256, min(1024, new_width))
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new_height = max(256, min(1024, new_height))
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return new_width, new_height
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def show_uploaded_image_with_arrows(uploaded_image):
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if uploaded_image is None:
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return gr.update(value
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<div style
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position: relative; display: flex; align-items: center; justify-content: center
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<div style
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<div style
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<p>Upload an image on the left to begin</p>
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<p>Then hover here to see camera controls</p>
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</div>
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</div>
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# Convert to data URL
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buffered = BytesIO()
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uploaded_image.save(buffered, format
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img_str = base64.b64encode(buffered.getvalue()).decode()
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data_url = f
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return gr.update(value=f
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<div style
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position: relative; display: flex; align-items: center; justify-content: center
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onmouseenter
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onmouseleave
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<!-- Image -->
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<img src
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<!-- Arrow controls -->
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<div id
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<!-- Left Arrow
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<button onclick
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var azInput = document.getElementById('js-azimuth').querySelector('input');
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var newAz = (parseInt(azInput.value) - 45 + 360) % 360;
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azInput.value = newAz;
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azInput.dispatchEvent(new Event('input', {{bubbles: true}}));
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document.getElementById('status-az').textContent = newAz;
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style
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width: 60px; height: 60px; background: rgba(0,255,136,0.
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border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
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box-shadow: 0
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onmouseover
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onmouseout
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title
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←
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</button>
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<!-- Right Arrow
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<button onclick
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var azInput = document.getElementById('js-azimuth').querySelector('input');
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var newAz = (parseInt(azInput.value) + 45) % 360;
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azInput.value = newAz;
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azInput.dispatchEvent(new Event('input', {{bubbles: true}}));
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document.getElementById('status-az').textContent = newAz;
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style
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width: 60px; height: 60px; background: rgba(0,255,136,0.
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border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
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box-shadow: 0
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onmouseover
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onmouseout
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title
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→
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</button>
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<!-- Up Arrow
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<button onclick
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var elInput = document.getElementById('js-elevation').querySelector('input');
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var newEl = Math.min(60, parseInt(elInput.value) + 30);
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elInput.value = newEl;
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elInput.dispatchEvent(new Event('input', {{bubbles: true}}));
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document.getElementById('status-el').textContent = newEl;
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style
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width: 60px; height: 60px; background: rgba(255,105,180,0.
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border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
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box-shadow: 0
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onmouseover
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onmouseout
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title
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↑
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</button>
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<!-- Down Arrow
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<button onclick
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var elInput = document.getElementById('js-elevation').querySelector('input');
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var newEl = Math.max(-30, parseInt(elInput.value) - 30);
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elInput.value = newEl;
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elInput.dispatchEvent(new Event('input', {{bubbles: true}}));
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document.getElementById('status-el').textContent = newEl;
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style
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width: 60px; height: 60px; background: rgba(255,105,180,0.
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border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
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box-shadow: 0
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onmouseover
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onmouseout
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title
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↓
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</button>
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<!-- Zoom Controls -->
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<div style
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display: flex; gap: 15px
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<button onclick=\"
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var distInput = document.getElementById('js-distance').querySelector('input');
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var newDist = Math.min(1.8, parseFloat(distInput.value) + 0.4);
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distInput.value = newDist.toFixed(1);
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distInput.dispatchEvent(new Event('input', {{bubbles: true}}));
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document.getElementById('status-dist').textContent = newDist.toFixed(1);
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style
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border-radius: 50%; color: white; font-size:
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box-shadow: 0
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onmouseover
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onmouseout
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title
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−
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</button>
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<button onclick=\"
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var distInput = document.getElementById('js-distance').querySelector('input');
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var newDist = Math.max(0.6, parseFloat(distInput.value) - 0.4);
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distInput.value = newDist.toFixed(1);
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distInput.dispatchEvent(new Event('input', {{bubbles: true}}));
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document.getElementById('status-dist').textContent = newDist.toFixed(1);
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-
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style
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border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
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box-shadow: 0
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onmouseover
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onmouseout
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title
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+
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</button>
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</div>
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<!-- Status Display -->
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<div style
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color: white; padding:
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font-size:
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<div
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<div id=\"status-prompt\" style=\"color: #00ff88; font-size: 12px; line-height: 1.3;\">
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<sks> front view eye-level shot medium shot
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</div>
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</div>
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</div>
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</div>
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def handle_parameter_change(az, el, dist, input_image, seed_val, randomize_seed_val, guidance_val, steps_val, h_val, w_val):
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try:
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azimuth = float(az)
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elevation = float(el)
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generated_image, final_seed, final_prompt = infer_camera_edit(
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image=input_image,
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azimuth=azimuth,
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elevation=elevation,
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distance=distance,
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seed=seed_val,
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randomize_seed=randomize_seed_val,
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guidance_scale=guidance_val,
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num_inference_steps=steps_val,
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height=h_val,
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width=w_val
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)
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#
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return html_result.value, final_seed, final_prompt
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return gr.update(),
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except Exception as e:
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import traceback
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traceback.print_exc()
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raise gr.Error(f\"Generation failed: {str(e)}\")
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#
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# Auto-update dimensions when image is uploaded
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image.upload(
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fn=update_dimensions_on_upload,
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inputs=[image],
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outputs=[width, height]
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)
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#
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image.upload(
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fn=show_uploaded_image_with_arrows,
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| 440 |
inputs=[image],
|
| 441 |
outputs=[result_display]
|
| 442 |
)
|
| 443 |
|
| 444 |
-
#
|
| 445 |
-
|
| 446 |
-
|
| 447 |
-
|
| 448 |
-
return gr.update(), seed_val, \"<sks> front view eye-level shot medium shot\"
|
| 449 |
-
|
| 450 |
-
return handle_parameter_change(js_az, js_el, js_dist, input_image, seed_val, randomize_seed_val, guidance_val, steps_val, h_val, w_val)
|
| 451 |
-
|
| 452 |
-
# Set up auto-generation on parameter changes
|
| 453 |
-
for input_component in [js_azimuth, js_elevation, js_distance]:
|
| 454 |
-
input_component.change(
|
| 455 |
-
fn=auto_generate_on_change,
|
| 456 |
inputs=[js_azimuth, js_elevation, js_distance, image, seed, randomize_seed, guidance_scale, num_inference_steps, height, width],
|
| 457 |
-
outputs=[result_display,
|
| 458 |
)
|
| 459 |
|
| 460 |
return demo
|
| 461 |
|
| 462 |
-
if __name__ ==
|
| 463 |
demo = create_camera_control_app()
|
| 464 |
demo.launch()
|
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|
|
| 1 |
import gradio as gr
|
|
|
|
| 2 |
import numpy as np
|
| 3 |
import random
|
| 4 |
+
import torch
|
|
|
|
|
|
|
| 5 |
import base64
|
| 6 |
from io import BytesIO
|
| 7 |
+
from PIL import Image
|
| 8 |
+
from diffusers import FlowMatchEulerDiscreteScheduler, QwenImageEditPlusPipeline
|
| 9 |
+
|
| 10 |
+
MAX_SEED = np.iinfo(np.int32).max
|
| 11 |
|
| 12 |
+
# --- Model Loading ---
|
| 13 |
+
dtype = torch.bfloat16
|
| 14 |
device = "cuda" if torch.cuda.is_available() else "cpu"
|
|
|
|
| 15 |
|
| 16 |
+
# Initialize pipe as None - will be loaded when needed
|
| 17 |
pipe = None
|
| 18 |
|
| 19 |
def load_model():
|
| 20 |
+
"""Load the model only when needed to avoid initialization errors."""
|
| 21 |
global pipe
|
| 22 |
if pipe is None:
|
| 23 |
+
pipe = QwenImageEditPlusPipeline.from_pretrained(
|
| 24 |
+
"Qwen/Qwen-Image-Edit-2511",
|
| 25 |
+
torch_dtype=dtype
|
| 26 |
).to(device)
|
| 27 |
+
|
| 28 |
+
# Load the lightning LoRA for fast inference
|
| 29 |
+
pipe.load_lora_weights(
|
| 30 |
+
"lightx2v/Qwen-Image-Edit-2511-Lightning",
|
| 31 |
+
weight_name="Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors",
|
| 32 |
+
adapter_name="lightning"
|
| 33 |
+
)
|
| 34 |
+
|
| 35 |
+
# Load the multi-angles LoRA
|
| 36 |
+
pipe.load_lora_weights(
|
| 37 |
+
"fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA",
|
| 38 |
+
weight_name="qwen-image-edit-2511-multiple-angles-lora.safetensors",
|
| 39 |
+
adapter_name="angles"
|
| 40 |
+
)
|
| 41 |
+
|
| 42 |
+
pipe.set_adapters(["lightning", "angles"], adapter_weights=[1.0, 1.0])
|
| 43 |
return pipe
|
| 44 |
|
| 45 |
+
# --- Camera Parameter Mappings ---
|
| 46 |
+
AZIMUTH_MAP = {
|
| 47 |
+
0: "front view",
|
| 48 |
45: "front-right quarter view",
|
| 49 |
90: "right side view",
|
| 50 |
+
135: "back-right quarter view",
|
| 51 |
+
180: "back view",
|
| 52 |
225: "back-left quarter view",
|
| 53 |
270: "left side view",
|
| 54 |
315: "front-left quarter view"
|
| 55 |
}
|
| 56 |
|
| 57 |
+
ELEVATION_MAP = {
|
| 58 |
+
-30: "low-angle shot",
|
| 59 |
0: "eye-level shot",
|
| 60 |
+
30: "elevated shot",
|
| 61 |
60: "high-angle shot"
|
| 62 |
}
|
| 63 |
|
| 64 |
+
DISTANCE_MAP = {
|
| 65 |
+
0.6: "close-up",
|
| 66 |
+
1.0: "medium shot",
|
| 67 |
1.8: "wide shot"
|
| 68 |
}
|
| 69 |
|
| 70 |
def snap_to_nearest(value, steps):
|
| 71 |
+
"""Snap value to nearest step."""
|
| 72 |
return min(steps, key=lambda x: abs(x - value))
|
| 73 |
|
| 74 |
def build_camera_prompt(azimuth, elevation, distance):
|
| 75 |
+
"""Build camera prompt from parameters."""
|
| 76 |
azimuth_steps = [0, 45, 90, 135, 180, 225, 270, 315]
|
| 77 |
elevation_steps = [-30, 0, 30, 60]
|
| 78 |
distance_steps = [0.6, 1.0, 1.8]
|
| 79 |
|
| 80 |
+
az_snap = snap_to_nearest(azimuth, azimuth_steps)
|
| 81 |
+
el_snap = snap_to_nearest(elevation, elevation_steps)
|
| 82 |
+
dist_snap = snap_to_nearest(distance, distance_steps)
|
| 83 |
|
| 84 |
+
az_name = AZIMUTH_MAP[az_snap]
|
| 85 |
+
el_name = ELEVATION_MAP[el_snap]
|
| 86 |
+
dist_name = DISTANCE_MAP[dist_snap]
|
| 87 |
|
| 88 |
+
return f"<sks> {az_name} {el_name} {dist_name}"
|
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|
| 89 |
|
| 90 |
+
def infer_camera_edit(image, azimuth, elevation, distance, seed, randomize_seed, guidance_scale, num_inference_steps, height, width):
|
| 91 |
+
"""Generate new camera view using the Qwen model."""
|
| 92 |
if randomize_seed:
|
| 93 |
seed = random.randint(0, MAX_SEED)
|
| 94 |
+
|
| 95 |
generator = torch.Generator(device=device).manual_seed(seed)
|
| 96 |
+
|
| 97 |
+
# Build the camera prompt
|
| 98 |
+
prompt = build_camera_prompt(azimuth, elevation, distance)
|
| 99 |
+
|
| 100 |
+
# Load model if not already loaded
|
| 101 |
+
model = load_model()
|
| 102 |
+
|
| 103 |
+
# Generate the new view
|
| 104 |
+
result = model(
|
| 105 |
+
image=image,
|
|
|
|
| 106 |
prompt=prompt,
|
| 107 |
+
height=height,
|
| 108 |
+
width=width,
|
|
|
|
|
|
|
| 109 |
guidance_scale=guidance_scale,
|
| 110 |
+
num_inference_steps=num_inference_steps,
|
| 111 |
+
generator=generator
|
| 112 |
).images[0]
|
| 113 |
+
|
| 114 |
return result, seed, prompt
|
| 115 |
|
| 116 |
def create_camera_control_app():
|
| 117 |
+
"""Create the complete camera control app."""
|
| 118 |
|
| 119 |
+
with gr.Blocks(title="Camera Control with Directional Arrows") as demo:
|
| 120 |
gr.Markdown("# 📸 Camera Control with Directional Arrows")
|
| 121 |
+
gr.Markdown("Upload an image and use arrows to control camera angles for 3D view generation")
|
| 122 |
|
| 123 |
with gr.Row():
|
| 124 |
+
# Left column: Image upload and controls
|
| 125 |
with gr.Column(scale=1):
|
| 126 |
image = gr.Image(label="Upload Image", type="pil", height=400)
|
| 127 |
|
| 128 |
+
# Camera parameter inputs (visible for debugging)
|
| 129 |
js_azimuth = gr.Textbox("0", visible=True, elem_id="js-azimuth", label="Azimuth")
|
| 130 |
js_elevation = gr.Textbox("0", visible=True, elem_id="js-elevation", label="Elevation")
|
| 131 |
js_distance = gr.Textbox("1.0", visible=True, elem_id="js-distance", label="Distance")
|
| 132 |
|
| 133 |
+
# Generation settings
|
| 134 |
+
with gr.Accordion("⚙️ Generation Settings", open=False):
|
| 135 |
+
seed = gr.Slider(minimum=0, maximum=MAX_SEED, step=1, value=42, label="Seed")
|
| 136 |
+
randomize_seed = gr.Checkbox(True, label="Randomize seed")
|
| 137 |
+
guidance_scale = gr.Slider(minimum=1, maximum=20, step=0.1, value=7.5, label="Guidance scale")
|
| 138 |
+
num_inference_steps = gr.Slider(minimum=10, maximum=50, step=1, value=4, label="Number of inference steps")
|
| 139 |
+
|
| 140 |
+
def update_dimensions_on_upload(input_image):
|
| 141 |
+
if input_image is None:
|
| 142 |
+
return 1024, 1024
|
| 143 |
+
|
| 144 |
+
original_width, original_height = input_image.size
|
| 145 |
+
aspect_ratio = original_width / original_height
|
| 146 |
+
|
| 147 |
+
if aspect_ratio > 1:
|
| 148 |
+
# Landscape
|
| 149 |
+
new_width = 1024
|
| 150 |
+
new_height = round(1024 / aspect_ratio / 32) * 32
|
| 151 |
+
else:
|
| 152 |
+
# Portrait or square
|
| 153 |
+
new_height = 1024
|
| 154 |
+
new_width = round(1024 * aspect_ratio / 32) * 32
|
| 155 |
+
|
| 156 |
+
# Ensure minimum size
|
| 157 |
+
new_width = max(256, min(1024, new_width))
|
| 158 |
+
new_height = max(256, min(1024, new_height))
|
| 159 |
+
|
| 160 |
+
return new_width, new_height
|
| 161 |
+
|
| 162 |
+
height = gr.Slider(minimum=256, maximum=1024, step=32, value=1024, label="Height")
|
| 163 |
+
width = gr.Slider(minimum=256, maximum=1024, step=32, value=1024, label="Width")
|
| 164 |
+
|
| 165 |
prompt_display = gr.Textbox(
|
| 166 |
+
label="Current Camera Prompt",
|
| 167 |
value="<sks> front view eye-level shot medium shot",
|
| 168 |
interactive=False
|
| 169 |
)
|
| 170 |
|
| 171 |
+
# Right column: Interactive image view
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 172 |
with gr.Column(scale=1):
|
| 173 |
gr.Markdown("### 🎯 Interactive Image View")
|
| 174 |
+
gr.Markdown("*Upload an image, then hover to see controls and click arrows to generate new views*")
|
| 175 |
|
| 176 |
# Interactive HTML component using working pattern
|
| 177 |
result_display = gr.HTML(
|
| 178 |
+
value="""
|
| 179 |
+
<div style="width: 100%; height: 500px; background: #f8f8f8; border: 2px solid #e0e0e0; border-radius: 12px;
|
| 180 |
+
position: relative; display: flex; align-items: center; justify-content: center;">
|
| 181 |
+
<div style="text-align: center; color: #999;">
|
| 182 |
+
<div style="font-size: 48px; margin-bottom: 10px;">📸</div>
|
| 183 |
<p>Upload an image on the left to begin</p>
|
| 184 |
<p>Then hover here to see camera controls</p>
|
| 185 |
</div>
|
| 186 |
</div>
|
| 187 |
+
""",
|
| 188 |
elem_id="result-display"
|
| 189 |
)
|
| 190 |
|
| 191 |
+
# Debug output
|
| 192 |
+
debug_output = gr.Textbox(label="Debug Output", visible=True)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 193 |
|
| 194 |
+
# Functions for handling interactions (inside Blocks context)
|
| 195 |
def show_uploaded_image_with_arrows(uploaded_image):
|
| 196 |
+
"""Show uploaded image with working arrow controls."""
|
| 197 |
if uploaded_image is None:
|
| 198 |
+
return gr.update(value="""
|
| 199 |
+
<div style="width: 100%; height: 500px; background: #f8f8f8; border: 2px solid #e0e0e0; border-radius: 12px;
|
| 200 |
+
position: relative; display: flex; align-items: center; justify-content: center;">
|
| 201 |
+
<div style="text-align: center; color: #999;">
|
| 202 |
+
<div style="font-size: 48px; margin-bottom: 10px;">📸</div>
|
| 203 |
<p>Upload an image on the left to begin</p>
|
| 204 |
<p>Then hover here to see camera controls</p>
|
| 205 |
</div>
|
| 206 |
</div>
|
| 207 |
+
""")
|
| 208 |
|
| 209 |
# Convert to data URL
|
| 210 |
buffered = BytesIO()
|
| 211 |
+
uploaded_image.save(buffered, format="PNG")
|
| 212 |
img_str = base64.b64encode(buffered.getvalue()).decode()
|
| 213 |
+
data_url = f"data:image/png;base64,{img_str}"
|
| 214 |
|
| 215 |
+
return gr.update(value=f"""
|
| 216 |
+
<div style="width: 100%; height: 500px; background: #f8f8f8; border: 2px solid #e0e0e0; border-radius: 12px;
|
| 217 |
+
position: relative; display: flex; align-items: center; justify-content: center;"
|
| 218 |
+
onmouseenter="this.querySelector('#arrow-controls').style.opacity='1'"
|
| 219 |
+
onmouseleave="this.querySelector('#arrow-controls').style.opacity='0'">
|
| 220 |
|
| 221 |
<!-- Image -->
|
| 222 |
+
<img src="{data_url}" style="max-width: 100%; max-height: 100%; object-fit: contain;">
|
| 223 |
|
| 224 |
<!-- Arrow controls -->
|
| 225 |
+
<div id="arrow-controls" style="position: absolute; inset: 0; opacity: 0; transition: opacity 0.3s ease; z-index: 10;">
|
| 226 |
|
| 227 |
+
<!-- Left Arrow -->
|
| 228 |
+
<button onclick="
|
| 229 |
var azInput = document.getElementById('js-azimuth').querySelector('input');
|
| 230 |
var newAz = (parseInt(azInput.value) - 45 + 360) % 360;
|
| 231 |
azInput.value = newAz;
|
| 232 |
azInput.dispatchEvent(new Event('input', {{bubbles: true}}));
|
| 233 |
document.getElementById('status-az').textContent = newAz;
|
| 234 |
+
"
|
| 235 |
+
style="position: absolute; left: 20px; top: 50%; transform: translateY(-50%);
|
| 236 |
+
width: 60px; height: 60px; background: rgba(0,255,136,0.9); border: none;
|
| 237 |
border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
|
| 238 |
+
box-shadow: 0 4px 12px rgba(0,0,0,0.3); transition: transform 0.2s;"
|
| 239 |
+
onmouseover="this.style.transform += ' scale(1.1)'"
|
| 240 |
+
onmouseout="this.style.transform = this.style.transform.replace(' scale(1.1)', '')"
|
| 241 |
+
title="Rotate Left">
|
| 242 |
←
|
| 243 |
</button>
|
| 244 |
|
| 245 |
+
<!-- Right Arrow -->
|
| 246 |
+
<button onclick="
|
| 247 |
var azInput = document.getElementById('js-azimuth').querySelector('input');
|
| 248 |
var newAz = (parseInt(azInput.value) + 45) % 360;
|
| 249 |
azInput.value = newAz;
|
| 250 |
azInput.dispatchEvent(new Event('input', {{bubbles: true}}));
|
| 251 |
document.getElementById('status-az').textContent = newAz;
|
| 252 |
+
"
|
| 253 |
+
style="position: absolute; right: 20px; top: 50%; transform: translateY(-50%);
|
| 254 |
+
width: 60px; height: 60px; background: rgba(0,255,136,0.9); border: none;
|
| 255 |
border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
|
| 256 |
+
box-shadow: 0 4px 12px rgba(0,0,0,0.3); transition: transform 0.2s;"
|
| 257 |
+
onmouseover="this.style.transform += ' scale(1.1)'"
|
| 258 |
+
onmouseout="this.style.transform = this.style.transform.replace(' scale(1.1)', '')"
|
| 259 |
+
title="Rotate Right">
|
| 260 |
→
|
| 261 |
</button>
|
| 262 |
|
| 263 |
+
<!-- Up Arrow -->
|
| 264 |
+
<button onclick="
|
| 265 |
var elInput = document.getElementById('js-elevation').querySelector('input');
|
| 266 |
var newEl = Math.min(60, parseInt(elInput.value) + 30);
|
| 267 |
elInput.value = newEl;
|
| 268 |
elInput.dispatchEvent(new Event('input', {{bubbles: true}}));
|
| 269 |
document.getElementById('status-el').textContent = newEl;
|
| 270 |
+
"
|
| 271 |
+
style="position: absolute; top: 20px; left: 50%; transform: translateX(-50%);
|
| 272 |
+
width: 60px; height: 60px; background: rgba(255,105,180,0.9); border: none;
|
| 273 |
border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
|
| 274 |
+
box-shadow: 0 4px 12px rgba(0,0,0,0.3); transition: transform 0.2s;"
|
| 275 |
+
onmouseover="this.style.transform += ' scale(1.1)'"
|
| 276 |
+
onmouseout="this.style.transform = this.style.transform.replace(' scale(1.1)', '')"
|
| 277 |
+
title="Look Up">
|
| 278 |
↑
|
| 279 |
</button>
|
| 280 |
|
| 281 |
+
<!-- Down Arrow -->
|
| 282 |
+
<button onclick="
|
| 283 |
var elInput = document.getElementById('js-elevation').querySelector('input');
|
| 284 |
var newEl = Math.max(-30, parseInt(elInput.value) - 30);
|
| 285 |
elInput.value = newEl;
|
| 286 |
elInput.dispatchEvent(new Event('input', {{bubbles: true}}));
|
| 287 |
document.getElementById('status-el').textContent = newEl;
|
| 288 |
+
"
|
| 289 |
+
style="position: absolute; bottom: 80px; left: 50%; transform: translateX(-50%);
|
| 290 |
+
width: 60px; height: 60px; background: rgba(255,105,180,0.9); border: none;
|
| 291 |
border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
|
| 292 |
+
box-shadow: 0 4px 12px rgba(0,0,0,0.3); transition: transform 0.2s;"
|
| 293 |
+
onmouseover="this.style.transform += ' scale(1.1)'"
|
| 294 |
+
onmouseout="this.style.transform = this.style.transform.replace(' scale(1.1)', '')"
|
| 295 |
+
title="Look Down">
|
| 296 |
↓
|
| 297 |
</button>
|
| 298 |
|
| 299 |
<!-- Zoom Controls -->
|
| 300 |
+
<div style="position: absolute; bottom: 20px; left: 50%; transform: translateX(-50%);
|
| 301 |
+
display: flex; gap: 15px;">
|
| 302 |
|
| 303 |
+
<button onclick="
|
|
|
|
| 304 |
var distInput = document.getElementById('js-distance').querySelector('input');
|
| 305 |
var newDist = Math.min(1.8, parseFloat(distInput.value) + 0.4);
|
| 306 |
distInput.value = newDist.toFixed(1);
|
| 307 |
distInput.dispatchEvent(new Event('input', {{bubbles: true}}));
|
| 308 |
document.getElementById('status-dist').textContent = newDist.toFixed(1);
|
| 309 |
+
"
|
| 310 |
+
style="width: 55px; height: 55px; background: rgba(255,165,0,0.9); border: none;
|
| 311 |
+
border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
|
| 312 |
+
box-shadow: 0 4px 12px rgba(0,0,0,0.3); transition: transform 0.2s;"
|
| 313 |
+
onmouseover="this.style.transform = 'scale(1.1)'"
|
| 314 |
+
onmouseout="this.style.transform = ''"
|
| 315 |
+
title="Zoom Out">
|
| 316 |
−
|
| 317 |
</button>
|
| 318 |
|
| 319 |
+
<button onclick="
|
|
|
|
| 320 |
var distInput = document.getElementById('js-distance').querySelector('input');
|
| 321 |
var newDist = Math.max(0.6, parseFloat(distInput.value) - 0.4);
|
| 322 |
distInput.value = newDist.toFixed(1);
|
| 323 |
distInput.dispatchEvent(new Event('input', {{bubbles: true}}));
|
| 324 |
document.getElementById('status-dist').textContent = newDist.toFixed(1);
|
| 325 |
+
"
|
| 326 |
+
style="width: 55px; height: 55px; background: rgba(255,165,0,0.9); border: none;
|
| 327 |
border-radius: 50%; color: white; font-size: 24px; cursor: pointer;
|
| 328 |
+
box-shadow: 0 4px 12px rgba(0,0,0,0.3); transition: transform 0.2s;"
|
| 329 |
+
onmouseover="this.style.transform = 'scale(1.1)'"
|
| 330 |
+
onmouseout="this.style.transform = ''"
|
| 331 |
+
title="Zoom In">
|
| 332 |
+
|
| 333 |
</button>
|
| 334 |
</div>
|
| 335 |
|
| 336 |
<!-- Status Display -->
|
| 337 |
+
<div style="position: absolute; top: 15px; right: 15px; background: rgba(0,0,0,0.85);
|
| 338 |
+
color: white; padding: 10px 14px; border-radius: 8px; font-family: monospace;
|
| 339 |
+
font-size: 13px; box-shadow: 0 4px 12px rgba(0,0,0,0.4);">
|
| 340 |
+
<div>Az: <span id="status-az">0</span>° | El: <span id="status-el">0</span>° | Dist: <span id="status-dist">1.0</span></div>
|
|
|
|
|
|
|
|
|
|
| 341 |
</div>
|
| 342 |
</div>
|
| 343 |
</div>
|
| 344 |
+
""")
|
| 345 |
|
| 346 |
def handle_parameter_change(az, el, dist, input_image, seed_val, randomize_seed_val, guidance_val, steps_val, h_val, w_val):
|
| 347 |
+
"""Handle camera parameter changes and generate new view."""
|
| 348 |
try:
|
| 349 |
azimuth = float(az)
|
| 350 |
elevation = float(el)
|
|
|
|
| 358 |
generated_image, final_seed, final_prompt = infer_camera_edit(
|
| 359 |
image=input_image,
|
| 360 |
azimuth=azimuth,
|
| 361 |
+
elevation=elevation,
|
| 362 |
distance=distance,
|
| 363 |
seed=seed_val,
|
| 364 |
randomize_seed=randomize_seed_val,
|
| 365 |
guidance_scale=guidance_val,
|
| 366 |
num_inference_steps=steps_val,
|
| 367 |
+
height=int(h_val),
|
| 368 |
+
width=int(w_val)
|
| 369 |
)
|
| 370 |
|
| 371 |
+
# Update the HTML display with the generated image
|
| 372 |
+
return show_uploaded_image_with_arrows(generated_image).value, prompt, f"Generated view: Az={azimuth}°, El={elevation}°, Dist={distance}, Seed={final_seed}"
|
|
|
|
| 373 |
|
| 374 |
+
return gr.update(), prompt, f"Parameters updated: Az={azimuth}°, El={elevation}°, Dist={distance}"
|
| 375 |
|
| 376 |
except Exception as e:
|
| 377 |
+
return gr.update(), f"Error: {str(e)}", f"Error processing parameters: {str(e)}"
|
|
|
|
|
|
|
|
|
|
| 378 |
|
| 379 |
+
# Update dimensions when image is uploaded
|
|
|
|
|
|
|
| 380 |
image.upload(
|
| 381 |
fn=update_dimensions_on_upload,
|
| 382 |
inputs=[image],
|
| 383 |
outputs=[width, height]
|
| 384 |
)
|
| 385 |
|
| 386 |
+
# Image upload handler
|
| 387 |
image.upload(
|
| 388 |
fn=show_uploaded_image_with_arrows,
|
| 389 |
inputs=[image],
|
| 390 |
outputs=[result_display]
|
| 391 |
)
|
| 392 |
|
| 393 |
+
# Parameter change handlers (triggered by arrow clicks)
|
| 394 |
+
for param_input in [js_azimuth, js_elevation, js_distance]:
|
| 395 |
+
param_input.change(
|
| 396 |
+
fn=handle_parameter_change,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 397 |
inputs=[js_azimuth, js_elevation, js_distance, image, seed, randomize_seed, guidance_scale, num_inference_steps, height, width],
|
| 398 |
+
outputs=[result_display, prompt_display, debug_output]
|
| 399 |
)
|
| 400 |
|
| 401 |
return demo
|
| 402 |
|
| 403 |
+
if __name__ == "__main__":
|
| 404 |
demo = create_camera_control_app()
|
| 405 |
demo.launch()
|