fix(zerogpu): lazy-import nvdiffrast in postprocessing_utils

fix(preload): match app_hyshape.py — load Hunyuan3D to CPU RAM, cache NeAR to disk

fix(zerogpu): remove _MODEL_LOCK from GPU callbacks; preload = disk cache only

fix(preload): split into disk-cache phase + CPU-load phase to unblock GPU callbacks

fix(zerogpu): skip NeAR CPU preload — BiRefNet/DINOv2 init triggers CUDA

refactor(app): ZeroGPU-safe 4-step pipeline with Hunyuan PBR GLB export

fix(zerogpu): add explicit duration, disable geometry offload by default

fix(zerogpu): remove stale CUDA flags, enable CPU preload by default

fix(near): defer renderer/tone-mapper init to first GPU ensure

refactor(app): ZeroGPU-oriented NeAR UI; path-only SLaT; dual videos

fix(gsplat): 2DGS image fit — expand colors to [1,N,3] for packed=False

docs: clarify Space app_file vs dashboard; fix README structure bullets

feat(gsplat): Gradio image-fitting app for ZeroGPU; default Space app_file

Space: move pipelines to CUDA only when spaces SDK is present

Gradio: apply NEAR_GRADIO_THEME (blue) to Blocks

HF Space: load pipelines before module-level demo, fix import entry

Space app: SLaT session cache, tone-mapper safety, CUDA/inference fixes

revert: remove sparse attention _linear inference-tensor clone hack

fix(sparse-attn): clone inference feats before Linear when grad is enabled

fix(sparse): spconv replace() must wire new feats into data.features

fix(export): clone slat feats instead of inference_mode on full export

fix(export): inference_mode for export_glb_from_slat (inference tensor slat)

fix(dino): drop default HF near-assets; use torch.hub facebookresearch/dinov2

feat(app): block Gradio bind until CPU weights load (no background preload)

fix(spaces): Hdri torch.load after ConvNeXt; default off CPU preload with spaces

fix(load): CPU-only checkpoint load for ZeroGPU main process

fix(pipeline): do not treat ckpts/... as Hugging Face org/model id

Space: set app_file to app.py (full NeAR); update README notes

app: CPU preload Hunyuan+NeAR, cuda move in GPU callbacks; drop gsplat warmup

fix(gsplat): prebuilt wheel in requirements + NEAR_GSPLAT_WHEEL_URL

chore(space): point README app_file at app_gsplat for gsplat probe

feat: add app_gsplat ZeroGPU probe (RGB+ED raster only)

refactor(hyshape): CPU preload at startup, GPU move on Generate Mesh

feat(hyshape): GPU geometry warmup on page load (ZeroGPU cold start)

feat(space): HyShape-only ZeroGPU diagnostic app as Space entry

fix(space): split ZeroGPU cold-start paths and add timing diagnostics

refactor: use bare spaces.GPU like E-RayZer (drop per-callback duration)

feat: optional gsplat source install + RGB+ED warmup (E-RayZer-style)

fix(space): longer ZeroGPU budget for gsplat JIT + video (ceiling 90s, duration=120 cap)

perf: parallel Hunyuan+NeAR load by default, per-branch timing logs

fix(ui): pass Gradio 6 theme/css via launch() for HF Spaces

fix(space): avoid deleting Gradio cache and tmp_gradio paths still in UI

feat(space): background prune stale tmp_gradio session dirs by age

fix(space): mirror Space secret 'near' into HF_TOKEN for gated Hub models

fix(pipeline): respect pretrained rembg (RMBG-2.0); optional NEAR_REMBG_MODEL

fix(pipeline): force BiRefNet to ZhengPeng7; drop gated rembg fallback

fix(deps): add kornia for BiRefNet remote modeling (rembg fallback)

fix(pipeline): fallback rembg when gated RMBG-2.0 lacks HF auth

fix(deps): add timm for Hunyuan3D hy3dshape MoE layers

docs(requirements): align nvdiffrast comments with custom torch 2.8/cu128 wheel