change ckpt

SparseNeuS_demo_v1/exp/lod0/.gitignore

@@ -0,0 +1 @@
+checkpoints_*/

SparseNeuS_demo_v1/exp/lod0/{checkpoint_trash/ckpt_285000.pth → checkpoints/ckpt_215000.pth}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:763c2a4934928cc089342905ba61481d6f9efc977b9729d7fc2d3eae4f0e1f9b
-size 5310703
+oid sha256:888aaa8abde948358c26e4ef63df99f666438345c1dee301059967c5ce77b6ea
+size 5312111

SparseNeuS_demo_v1/exp/lod0/checkpoints/ckpt_340000.pth

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3a947469b4b1a7044b2dcdd576e52279ed48a05d52135231137ece9f0ef810c8
-size 5310703

zero123_utils.py

@@ -72,7 +72,6 @@ def sample_model_batch(model, sampler, input_im, xs, ys, n_samples=4, precision=
             T = torch.tensor(np.array(T))[:, None, :].float().to(c.device)
             c = torch.cat([c, T], dim=-1)
             c = model.cc_projection(c)
-            print("debug c device", c.device)
             cond = {}
             cond['c_crossattn'] = [c]
             # c_concat = model.encode_first_stage((input_im.to(c.device))).mode().detach()