update app
Browse files
app.py
CHANGED
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@@ -7,26 +7,24 @@ import tempfile
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from typing import *
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from datetime import datetime
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from pathlib import Path
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import gradio as gr
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from gradio.themes import Soft
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from gradio.themes.utils import colors, fonts, sizes
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from gradio_client import Client, handle_file
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import spaces
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import rerun as rr
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from gradio_rerun import Rerun
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# Diffusers / Trellis Imports
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from diffusers import ZImagePipeline
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from trellis2.pipelines import Trellis2ImageTo3DPipeline
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import o_voxel
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# ==========================================
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# THEME CONFIGURATION
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# ==========================================
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colors.orange_red = colors.Color(
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name="orange_red",
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c50="#FFF0E5",
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@@ -95,15 +93,9 @@ class OrangeRedTheme(Soft):
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orange_red_theme = OrangeRedTheme()
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# ==========================================
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# ENVIRONMENT & MODEL SETUP
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# ==========================================
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os.environ["OPENCV_IO_ENABLE_OPENEXR"] = '1'
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os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True"
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os.environ["ATTN_BACKEND"] = "flash_attn_3"
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# Adjust path if needed for your environment
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os.environ["FLEX_GEMM_AUTOTUNE_CACHE_PATH"] = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'autotune_cache.json')
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os.environ["FLEX_GEMM_AUTOTUNER_VERBOSE"] = '1'
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@@ -139,10 +131,6 @@ except Exception as e:
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rmbg_client = Client("briaai/BRIA-RMBG-2.0")
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# ==========================================
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# UTILITY FUNCTIONS
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# ==========================================
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def start_session(req: gr.Request):
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user_dir = os.path.join(TMP_DIR, str(req.session_hash))
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os.makedirs(user_dir, exist_ok=True)
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@@ -161,7 +149,6 @@ def remove_background(input: Image.Image) -> Image.Image:
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return output
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def preprocess_image(input: Image.Image) -> Image.Image:
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"""Preprocess the input image: remove bg, crop, resize."""
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if input is None:
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return None
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@@ -198,13 +185,8 @@ def preprocess_image(input: Image.Image) -> Image.Image:
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def get_seed(randomize_seed: bool, seed: int) -> int:
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return np.random.randint(0, MAX_SEED) if randomize_seed else seed
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# ==========================================
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# GENERATION FUNCTIONS
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# ==========================================
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@spaces.GPU
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def generate_txt2img(prompt, progress=gr.Progress(track_tqdm=True)):
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"""Generate Image using Z-Image Turbo"""
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if z_pipe is None:
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raise gr.Error("Z-Image-Turbo model failed to load.")
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if not prompt.strip():
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@@ -228,6 +210,30 @@ def generate_txt2img(prompt, progress=gr.Progress(track_tqdm=True)):
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except Exception as e:
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raise gr.Error(f"Z-Image Generation failed: {str(e)}")
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@spaces.GPU(duration=120)
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def generate_3d(
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image: Image.Image,
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return_latent=True,
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)
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# 2. Process Mesh
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progress(0.7, desc="Processing Mesh...")
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mesh = outputs[0]
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mesh.simplify(16777216)
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# 3. Export to GLB
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progress(0.9, desc="Baking Texture & Exporting GLB...")
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grid_size = latents[2]
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now = datetime.now()
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timestamp = now.strftime("%Y-%m-%dT%H%M%S")
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glb_path = os.path.join(user_dir, f'trellis_output_{timestamp}.glb')
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rrd_path = os.path.join(user_dir, f'trellis_output_{timestamp}.rrd')
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glb.export(glb_path, extension_webp=True)
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# ---------------------------------------------------------
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# RERUN VISUALIZATION LOGIC
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# ---------------------------------------------------------
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progress(0.95, desc="Creating Rerun Visualization...")
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rr.init(f"trellis_session_{timestamp}", spawn=False)
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# 1. Setup View Coordinates (Z-Up is standard for 3D web/GLB)
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rr.log("world", rr.ViewCoordinates.RIGHT_HAND_Z_UP, static=True)
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# 2. Log Axes (Red=X, Green=Y, Blue=Z)
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rr.log(
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"world/axes",
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rr.Arrows3D(
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vectors=[[0.5, 0, 0], [0, 0.5, 0], [0, 0, 0.5]],
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colors=[[255, 0, 0], [0, 255, 0], [0, 0, 255]],
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origins=[[0, 0, 0], [0, 0, 0], [0, 0, 0]],
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labels=["X", "Y", "Z"],
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radii=0.015
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),
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static=True
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)
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# 3. Log the Model (Asset3D)
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# Note: TRELLIS outputs are usually normalized.
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rr.log("world/model", rr.Asset3D(path=glb_path))
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# 4. Save to RRD for Gradio Viewer
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rr.save(rrd_path)
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# Clean up memory
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torch.cuda.empty_cache()
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# Return RRD path for visualization and GLB path for download
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return rrd_path, glb_path
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except Exception as e:
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torch.cuda.empty_cache()
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raise gr.Error(f"Generation failed: {str(e)}")
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# ==========================================
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# UI LAYOUT
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# ==========================================
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css="""
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#col-container {
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margin: 0 auto;
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@@ -378,11 +344,11 @@ if __name__ == "__main__":
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os.makedirs(TMP_DIR, exist_ok=True)
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with gr.Blocks(delete_cache=(300, 300)) as demo:
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gr.Markdown("# **TRELLIS.2 (Text-to-3D)**", elem_id="main-title")
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gr.Markdown("""
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**Workflow:**
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Generate a 3D asset directly by converting Text-to-Image → 3D or Image-to-3D, powered by TRELLIS.2 and Z-Image-Turbo.
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""")
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with gr.Row():
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with gr.Column(scale=2):
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gr.Markdown("### 3D Output (Rerun Viewer)")
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# REPLACED gr.Model3D with Rerun
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rerun_output = Rerun(
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label="Rerun
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height=600
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)
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download_btn = gr.DownloadButton(label="3.Download GLB File", variant="primary")
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gr.Examples(
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from typing import *
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from datetime import datetime
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from pathlib import Path
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import uuid
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from typing import Iterable
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from gradio.themes import Soft
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from gradio.themes.utils import colors, fonts, sizes
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import gradio as gr
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from gradio_client import Client, handle_file
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import spaces
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from diffusers import ZImagePipeline
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# Rerun Imports
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import rerun as rr
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from gradio_rerun import Rerun
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from trellis2.pipelines import Trellis2ImageTo3DPipeline
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import o_voxel
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colors.orange_red = colors.Color(
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name="orange_red",
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c50="#FFF0E5",
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orange_red_theme = OrangeRedTheme()
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os.environ["OPENCV_IO_ENABLE_OPENEXR"] = '1'
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os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True"
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os.environ["ATTN_BACKEND"] = "flash_attn_3"
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os.environ["FLEX_GEMM_AUTOTUNE_CACHE_PATH"] = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'autotune_cache.json')
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os.environ["FLEX_GEMM_AUTOTUNER_VERBOSE"] = '1'
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rmbg_client = Client("briaai/BRIA-RMBG-2.0")
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def start_session(req: gr.Request):
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user_dir = os.path.join(TMP_DIR, str(req.session_hash))
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os.makedirs(user_dir, exist_ok=True)
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return output
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def preprocess_image(input: Image.Image) -> Image.Image:
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if input is None:
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return None
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def get_seed(randomize_seed: bool, seed: int) -> int:
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return np.random.randint(0, MAX_SEED) if randomize_seed else seed
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@spaces.GPU
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def generate_txt2img(prompt, progress=gr.Progress(track_tqdm=True)):
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if z_pipe is None:
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raise gr.Error("Z-Image-Turbo model failed to load.")
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if not prompt.strip():
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except Exception as e:
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raise gr.Error(f"Z-Image Generation failed: {str(e)}")
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def create_rerun_rrd(glb_path: str) -> str:
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"""Creates a Rerun recording for the generated GLB."""
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rrd_path = glb_path.replace(".glb", ".rrd")
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rec = rr.new_recording(application_id="trellis_app", recording_id=str(uuid.uuid4()))
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rec.log("world", rr.ViewCoordinates.RIGHT_HAND_Z_UP, static=True)
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rec.log(
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"world/axes",
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rr.Arrows3D(
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vectors=[[0.5, 0, 0], [0, 0.5, 0], [0, 0, 0.5]],
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colors=[[255, 0, 0], [0, 255, 0], [0, 0, 255]],
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labels=["X", "Y", "Z"],
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radii=0.02
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),
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static=True
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)
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rec.log("world/model", rr.Asset3D(path=glb_path), static=True)
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rec.save(rrd_path)
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return rrd_path
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@spaces.GPU(duration=120)
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def generate_3d(
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image: Image.Image,
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return_latent=True,
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)
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progress(0.7, desc="Processing Mesh...")
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mesh = outputs[0]
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mesh.simplify(16777216)
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progress(0.9, desc="Baking Texture & Exporting GLB...")
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grid_size = latents[2]
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now = datetime.now()
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timestamp = now.strftime("%Y-%m-%dT%H%M%S")
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glb_path = os.path.join(user_dir, f'trellis_output_{timestamp}.glb')
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glb.export(glb_path, extension_webp=True)
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rrd_path = create_rerun_rrd(glb_path)
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torch.cuda.empty_cache()
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return rrd_path, glb_path
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except Exception as e:
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torch.cuda.empty_cache()
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raise gr.Error(f"Generation failed: {str(e)}")
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css="""
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#col-container {
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margin: 0 auto;
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os.makedirs(TMP_DIR, exist_ok=True)
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with gr.Blocks(delete_cache=(300, 300)) as demo:
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gr.Markdown("# **TRELLIS.2 (Text-to-3D) with Rerun**", elem_id="main-title")
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gr.Markdown("""
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**Workflow:**
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Generate a 3D asset directly by converting Text-to-Image → 3D or Image-to-3D, powered by TRELLIS.2 and Z-Image-Turbo.
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Visualization powered by Rerun.
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""")
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with gr.Row():
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with gr.Column(scale=2):
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gr.Markdown("### 3D Output (Rerun Viewer)")
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rerun_output = Rerun(
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label="Rerun 3D Viewer",
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height=600,
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download_btn = gr.DownloadButton(label="3.Download GLB File", variant="primary")
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gr.Examples(
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