import gradio as gr from PIL import Image from gradio_app.custom_models.mvimg_prediction import run_mvprediction from gradio_app.utils import make_image_grid, split_image from scripts.utils import save_glb_and_video def concept_to_multiview(preview_img, input_processing, seed, guidance=1.): seed = int(seed) if preview_img is None: raise gr.Error("preview_img is none.") if isinstance(preview_img, str): preview_img = Image.open(preview_img) rgb_pils, front_pil = run_mvprediction(preview_img, remove_bg=input_processing, seed=seed, guidance_scale=guidance) rgb_pil = make_image_grid(rgb_pils, rows=2) return rgb_pil, front_pil def concept_to_multiview_ui(concurrency_id="wkl"): with gr.Row(): with gr.Column(scale=2): preview_img = gr.Image(type='pil', image_mode='RGBA', label='Frontview') input_processing = gr.Checkbox( value=True, label='Remove Background', ) seed = gr.Slider(minimum=-1, maximum=1000000000, value=-1, step=1.0, label="seed") guidance = gr.Slider(minimum=1.0, maximum=5.0, value=1.0, label="Guidance Scale", step=0.5) run_btn = gr.Button('Generate Multiview', interactive=True) with gr.Column(scale=3): # export mesh display output_rgb = gr.Image(type='pil', label="RGB", show_label=True) output_front = gr.Image(type='pil', image_mode='RGBA', label="Frontview", show_label=True) run_btn.click( fn = concept_to_multiview, inputs=[preview_img, input_processing, seed, guidance], outputs=[output_rgb, output_front], concurrency_id=concurrency_id, api_name=False, ) return output_rgb, output_front from gradio_app.custom_models.normal_prediction import predict_normals from scripts.multiview_inference import geo_reconstruct def multiview_to_mesh_v2(rgb_pil, normal_pil, front_pil, do_refine=False, expansion_weight=0.1, init_type="std"): rgb_pils = split_image(rgb_pil, rows=2) if normal_pil is not None: normal_pil = split_image(normal_pil, rows=2) if front_pil is None: front_pil = rgb_pils[0] new_meshes = geo_reconstruct(rgb_pils, normal_pil, front_pil, do_refine=do_refine, predict_normal=normal_pil is None, expansion_weight=expansion_weight, init_type=init_type) ret_mesh, video = save_glb_and_video("/tmp/gradio/generated", new_meshes, with_timestamp=True, dist=3.5, fov_in_degrees=2 / 1.35, cam_type="ortho", export_video=False) return ret_mesh def new_multiview_to_mesh_ui(concurrency_id="wkl"): with gr.Row(): with gr.Column(scale=2): rgb_pil = gr.Image(type='pil', image_mode='RGB', label='RGB') front_pil = gr.Image(type='pil', image_mode='RGBA', label='Frontview(Optinal)') normal_pil = gr.Image(type='pil', image_mode='RGBA', label='Normal(Optinal)') do_refine = gr.Checkbox( value=False, label='Refine rgb', visible=False, ) expansion_weight = gr.Slider(minimum=-1.0, maximum=1.0, value=0.1, step=0.1, label="Expansion Weight", visible=False) init_type = gr.Dropdown(choices=["std", "thin"], label="Mesh initialization", value="std", visible=False) run_btn = gr.Button('Generate 3D', interactive=True) with gr.Column(scale=3): # export mesh display output_mesh = gr.Model3D(value=None, label="mesh model", show_label=True) run_btn.click( fn = multiview_to_mesh_v2, inputs=[rgb_pil, normal_pil, front_pil, do_refine, expansion_weight, init_type], outputs=[output_mesh], concurrency_id=concurrency_id, api_name="multiview_to_mesh", ) return rgb_pil, front_pil, output_mesh ####################################### def create_step_ui(concurrency_id="wkl"): with gr.Tab(label="3D:concept_to_multiview"): concept_to_multiview_ui(concurrency_id) with gr.Tab(label="3D:new_multiview_to_mesh"): new_multiview_to_mesh_ui(concurrency_id)