Comments (4)
SAC020
commented on July 3, 2024
1
I don't know if same issue, but same error, with hidiffusers.
Running hidiffusion in an xyz script renders a couple of images, then breaks. Reloading the ckpt enables the same number of images be generated before breaking again.
Running same prompt and parameters without hidiffusers yields no errors.
PS C:\ai\automatic> .\webui.bat --medvram --debug
Using VENV: C:\ai\automatic\venv
17:43:37-160033 INFO Starting SD.Next
17:43:37-163505 INFO Logger: file="C:\ai\automatic\sdnext.log" level=DEBUG size=65 mode=create
17:43:37-164994 INFO Python 3.10.11 on Windows
17:43:37-347574 INFO Version: app=sd.next updated=2024-05-18 hash=ef736488 branch=dev
url=https://github.com/vladmandic/automatic/tree/dev
17:43:37-938624 INFO Latest published version: e081f232d2648d79659b9a53070cecb544b85b3d 2024-05-07T19:11:45Z
17:43:37-953007 INFO Platform: arch=AMD64 cpu=Intel64 Family 6 Model 165 Stepping 5, GenuineIntel system=Windows
release=Windows-10-10.0.22631-SP0 python=3.10.11
17:51:46-784318 ERROR Processing: RuntimeError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ C:\ai\automatic\modules\processing_diffusers.py:118 in process_diffusers │
│ │
│ 117 │ │ # base_args['image'] = set_latents(p) │
│ ❱ 118 │ │ output = shared.sd_model(**base_args) # pylint: disable=not-callable │
│ 119 │ │ if isinstance(output, dict): │
│ │
│ C:\ai\automatic\venv\lib\site-packages\torch\utils\_contextlib.py:115 in decorate_context │
│ │
│ 114 │ │ with ctx_factory(): │
│ ❱ 115 │ │ │ return func(*args, **kwargs) │
│ 116 │
│ │
│ C:\ai\automatic\venv\lib\site-packages\diffusers\pipelines\stable_diffusion_xl\pipeline_stable_diffusion_xl.py:1174 │
│ │
│ 1173 │ │ │ │ │ added_cond_kwargs["image_embeds"] = image_embeds │
│ ❱ 1174 │ │ │ │ noise_pred = self.unet( │
│ 1175 │ │ │ │ │ latent_model_input, │
│ │
│ C:\ai\automatic\venv\lib\site-packages\torch\nn\modules\module.py:1511 in _wrapped_call_impl │
│ │
│ 1510 │ │ else: │
│ ❱ 1511 │ │ │ return self._call_impl(*args, **kwargs) │
│ 1512 │
│ │
│ C:\ai\automatic\venv\lib\site-packages\torch\nn\modules\module.py:1561 in _call_impl │
│ │
│ 1560 │ │ │ │
│ ❱ 1561 │ │ │ result = forward_call(*args, **kwargs) │
│ 1562 │ │ │ if _global_forward_hooks or self._forward_hooks: │
│ │
│ C:\ai\automatic\venv\lib\site-packages\accelerate\hooks.py:166 in new_forward │
│ │
│ 165 │ │ else: │
│ ❱ 166 │ │ │ output = module._old_forward(*args, **kwargs) │
│ 167 │ │ return module._hf_hook.post_forward(module, output) │
│ │
│ C:\ai\automatic\venv\lib\site-packages\diffusers\models\unets\unet_2d_condition.py:1281 in forward │
│ │
│ 1280 │ │ │ if hasattr(upsample_block, "has_cross_attention") and upsample_block.has_cross_attention: │
│ ❱ 1281 │ │ │ │ sample = upsample_block( │
│ 1282 │ │ │ │ │ hidden_states=sample, │
│ │
│ C:\ai\automatic\venv\lib\site-packages\torch\nn\modules\module.py:1511 in _wrapped_call_impl │
│ │
│ 1510 │ │ else: │
│ ❱ 1511 │ │ │ return self._call_impl(*args, **kwargs) │
│ 1512 │
│ │
│ C:\ai\automatic\venv\lib\site-packages\torch\nn\modules\module.py:1520 in _call_impl │
│ │
│ 1519 │ │ │ │ or _global_forward_hooks or _global_forward_pre_hooks): │
│ ❱ 1520 │ │ │ return forward_call(*args, **kwargs) │
│ 1521 │
│ │
│ C:\ai\automatic\modules\hidiffusion\hidiffusion.py:1682 in forward │
│ │
│ 1681 │ │ │ │ │
│ ❱ 1682 │ │ │ │ hidden_states = torch.cat([hidden_states, res_hidden_states], dim=1) │
│ 1683 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 128 but got size 64 for tensor number 1 in the list.
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vladmandic
commented on July 3, 2024
1
fixed.
hidiffusion had "unapply" function, but it was not unapplying all modifications that hidiffusion did, so each time it was going deeper and deeper into its own hole.
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solsol360
commented on July 3, 2024
It might be related. You don't even need xyz script. Just running three separate generations will give the error on the third one. I've reported this in discord yesterday. No comments there yet, so it's good to have that issue also here.
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SAC020
commented on July 3, 2024
fixed. hidiffusion had "unapply" function, but it was not unapplying all modifications that hidiffusion did, so each time it was going deeper and deeper into its own hole.
I confirm, it is fixed for me. Thank you!
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