testing any other size image about stablesr

[ouyangjiacs]

other size is 3K*4K

[IceClear]

The VQGAN tile size should be at least 512.

[ouyangjiacs]

Ohohoh, I previously set the --vqgantile_size is 512, but error：
RuntimeError: CUDA out of memory. Tried to allocate 2.15 GiB (GPU 0; 23.88 GiB
total capacity; 21.09 GiB already allocated; 2.04 GiB free; 21.18 GiB reserved
in total by PyTorch) If reserved memory is >> allocated memory try setting
max_split_size_mb to avoid fragmentation. See documentation for Memory
Management and PYTORCH_CUDA_ALLOC_CONF

And then I forgot about this restriction， I just made it smaller.

What size GPU is required for the --vqgantile_size of 512？

[ouyangjiacs]

but now, My Test Script：
python scripts/sr_val_ddpm_text_T_vqganfin_oldcanvas_tile.py --config configs/stableSRNew/v2-finetune_text_T_512.yaml --ckpt /data/work/StableSR-main/model/stablesr_000117.ckpt --vqgan_ckpt /data/work/StableSR-main/model/vqgan_cfw_00011.ckpt --init-img /data/work/StableSR/datasetoyj/human/ --outdir /data/work/StableSR/datasetoyj/human_out --ddpm_steps 200 --dec_w 0.5 --vqgantile_size 512 --vqgantile_stride 384
，the error still:
... │ 1132 │ │ full_backward_hooks, non_full_backward_hooks = [], [] │
│ 1133 │ │ if self._backward_hooks or _global_backward_hooks: │
│ │
│ /data/work/StableSR/ldm/modules/diffusionmodules/openaimodel.py:1333 in │
│ forward │
│ │
│ 1330 │ │ │ hs.append(h) │
│ 1331 │ │ h = self.middle_block(h, emb, context, struct_cond) │
│ 1332 │ │ for module in self.output_blocks: │
│ ❱ 1333 │ │ │ h = th.cat([h, hs.pop()], dim=1) │
│ 1334 │ │ │ h = module(h, emb, context, struct_cond) │
│ 1335 │ │ h = h.type(x.dtype) │
│ 1336 │ │ if self.predict_codebook_ids: │
╰──────────────────────────────────────────────────────────────────────────────╯
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 2
but got size 1 for tensor number 1 in the list.

[IceClear]

Hi.
I have just found a bug related to the tile operation and fixed it.
You may pull the latest code and try again.
If the bug still exits, you can show me the img and the settings and I will check then.
Thx.

[ouyangjiacs]

Hello, thank you very much for your kind reply,
I used the latest code (2023.5.25), I still report an error when I set vqgantile_size=512:
The test script is:
python scripts/sr_val_ddpm_text_T_vqganfin_oldcanvas_tile.py --config configs/stableSRNew/v2-finetune_text_T_512.yaml --ckpt /data/work/StableSR-main/model/stablesr_000117.ckpt --vqgan_ckpt /data/work/StableSR-main/model/vqgan_cfw_00011.ckpt --init-img /data/work/StableSR/datasetoyj/test_data_hq6_x2/ --outdir /data/work/StableSR/datasetoyj/test_data_hq6_x2_out --ddpm_steps 200 --dec_w 0.5 --vqgantile_size 512 --vqgantile_stride 384 --colorfix_type adain
the error is:
RuntimeError: CUDA out of memory. Tried to allocate 8.58 GiB (GPU 0; 31.75 GiB
total capacity; 23.00 GiB already allocated; 7.59 GiB free; 23.07 GiB reserved
in total by PyTorch) If reserved memory is >> allocated memory try setting
max_split_size_mb to avoid fragmentation. See documentation for Memory
Management and PYTORCH_CUDA_ALLOC_CONF

image size6K*8K, Is this related to image size? What I understand is that GPU needs to only be related to vqgantile_size ?

[IceClear]

With upscale 4.0 by default, the output will be 24k*32k. I do not know why you need such a large image. But it is identical to loading about 3k images with 512x512 all at once in the GPU memory. I conjecture you need at least 10G VRAM to store the input even if you do nothing else.

[ouyangjiacs]

Uh huh, I made the test image smaller, but I still encountered errors during the test：
Sampling t: 96%|█████████▌| 192/200 [02:07<00:05, 1.52it/s]�[A

Sampling t: 96%|█████████▋| 193/200 [02:08<00:04, 1.52it/s]�[A

Sampling t: 97%|█████████▋| 194/200 [02:09<00:03, 1.51it/s]�[A

Sampling t: 98%|█████████▊| 195/200 [02:09<00:03, 1.51it/s]�[A

Sampling t: 98%|█████████▊| 196/200 [02:10<00:02, 1.51it/s]�[A

Sampling t: 98%|█████████▊| 197/200 [02:11<00:01, 1.51it/s]�[A

Sampling t: 99%|█████████▉| 198/200 [02:11<00:01, 1.51it/s]�[A

Sampling t: 100%|█████████▉| 199/200 [02:12<00:00, 1.51it/s]�[A

Sampling t: 100%|██████████| 200/200 [02:13<00:00, 1.50it/s]�[A
Sampling t: 100%|██████████| 200/200 [02:13<00:00, 1.50it/s]

Sampling: 0%| | 0/146 [7:19:17<?, ?it/s]
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /data/work/StableSR/scripts/sr_val_ddpm_text_T_vqganfin_oldcanvas_tile.py:41 │
│ 6 in │
│ │
│ 413 │
│ 414 │
│ 415 if name == "main": │
│ ❱ 416 │ main() │
│ 417 │
│ │
│ /data/work/StableSR/scripts/sr_val_ddpm_text_T_vqganfin_oldcanvas_tile.py:40 │
│ 1 in main │
│ │
│ 398 │ │ │ │ │ │ im_sr = im_sr.cpu().numpy().transpose(0,2,3,1) │
│ 399 │ │ │ │ │ │ │
│ 400 │ │ │ │ │ │ if flag_pad: │
│ ❱ 401 │ │ │ │ │ │ │ im_sr = im_sr[:, :ori_hsf, :ori_wsf, ] │
│ 402 │ │ │ │ │ │ │
│ 403 │ │ │ │ │ │ for jj in range(im_lq_bs.shape[0]): │
│ 404 │ │ │ │ │ │ │ img_name = str(Path(im_path_bs[jj]).name) │
╰──────────────────────────────────────────────────────────────────────────────╯
NameError: name 'sf' is not defined

[IceClear]

Fixed