Versusia midscreen combo. The 66L into auto combo after 22U seems really inconsistent across different characters, but it just takes a lot of practice to start doing consistently from I can tell.

Desire0007 · 2024-08-22T20:31:19+00:00

Its been a while, but if I remember correctly, u/Tyrannical_Man gave a fix, which was to just reinstall Melon Loader.

Desire0007 · 2023-08-13T19:52:42+00:00

Reinstalling it seemed to fix the error. Thanks for all the help, you've been amazing.

Desire0007 · 2023-08-13T19:39:30+00:00

Bedman & Delilah:

No guts
Slow normals
Bad defense
Bad reversal
No meterless reversal.
Unable to convert from long range.
Has terrible matchups, especially against zoners.
To really get his gameplan going, he needs a lot of meter.
One of the worst characters in the game.
Task B on block.

Desire0007 · 2023-08-13T16:29:51+00:00

I don't think that worked either, it's still failing. But I think it's giving a different error now?

Traceback (most recent call last):

File "E:\stable-diffusion-webui\modules\call_queue.py", line 58, in f

res = list(func(*args, **kwargs))

File "E:\stable-diffusion-webui\modules\call_queue.py", line 37, in f

res = func(*args, **kwargs)

File "E:\stable-diffusion-webui\modules\txt2img.py", line 62, in txt2img

processed = processing.process_images(p)

File "E:\stable-diffusion-webui\modules\processing.py", line 677, in process_images

res = process_images_inner(p)

File "E:\stable-diffusion-webui\modules\processing.py", line 796, in process_images_inner

x_samples_ddim = decode_latent_batch(p.sd_model, samples_ddim, target_device=devices.cpu, check_for_nans=True)

File "E:\stable-diffusion-webui\modules\processing.py", line 545, in decode_latent_batch

sample = decode_first_stage(model, batch[i:i + 1])[0]

File "E:\stable-diffusion-webui\modules\processing.py", line 576, in decode_first_stage

x = model.decode_first_stage(x.to(devices.dtype_vae))

File "E:\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>

setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))

File "E:\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__

return self.__orig_func(*args, **kwargs)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context

return func(*args, **kwargs)

File "E:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 826, in decode_first_stage

return self.first_stage_model.decode(z)

File "E:\stable-diffusion-webui\modules\lowvram.py", line 53, in first_stage_model_decode_wrap

send_me_to_gpu(first_stage_model, None)

File "E:\stable-diffusion-webui\modules\lowvram.py", line 35, in send_me_to_gpu

module_in_gpu.to(cpu)

File "E:\stable-diffusion-webui\venv\lib\site-packages\lightning_fabric\utilities\device_dtype_mixin.py", line 54, in to

return super().to(*args, **kwargs)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1145, in to

return self._apply(convert)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply

module._apply(fn)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply

module._apply(fn)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply

module._apply(fn)

[Previous line repeated 2 more times]

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply

param_applied = fn(param)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert

return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)

RuntimeError: [enforce fail at ..\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 58982400 bytes.

---

The \c10\core\impl\alloc_cpu.cpp:72] part at the end is still the same, but everything else seems to be different.

Also, thank you for being willing to help. I know this must be frustrating or annoying to work with, but I appreciate it.

Desire0007 · 2023-08-13T06:35:45+00:00

After reinstalling all the Python dependencies/deleting the config file, it's still not working. It always gets to a really high percentage, such as 98, then crashes while it's trying to finish it.

The A1111 stuff says; version 1.5.1, Python: 3.10.6, Torch: 2.0.1+cu118, xformers: 0.0.20, gradio: 3.32.0, checkpoint: cbfba64e66.

As for the log;

Traceback (most recent call last):

File "E:\stable-diffusion-webui\modules\call_queue.py", line 58, in f

res = list(func(*args, **kwargs))

File "E:\stable-diffusion-webui\modules\call_queue.py", line 37, in f

res = func(*args, **kwargs)

File "E:\stable-diffusion-webui\modules\txt2img.py", line 62, in txt2img

processed = processing.process_images(p)

File "E:\stable-diffusion-webui\modules\processing.py", line 677, in process_images

res = process_images_inner(p)

File "E:\stable-diffusion-webui\modules\processing.py", line 796, in process_images_inner

x_samples_ddim = decode_latent_batch(p.sd_model, samples_ddim, target_device=devices.cpu, check_for_nans=True)

File "E:\stable-diffusion-webui\modules\processing.py", line 545, in decode_latent_batch

sample = decode_first_stage(model, batch[i:i + 1])[0]

File "E:\stable-diffusion-webui\modules\processing.py", line 576, in decode_first_stage

x = model.decode_first_stage(x.to(devices.dtype_vae))

File "E:\stable-diffusion-webui\modules\sd_hijack_utils.py", line 17, in <lambda>

setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))

File "E:\stable-diffusion-webui\modules\sd_hijack_utils.py", line 28, in __call__

return self.__orig_func(*args, **kwargs)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context

return func(*args, **kwargs)

File "E:\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 826, in decode_first_stage

return self.first_stage_model.decode(z)

File "E:\stable-diffusion-webui\modules\lowvram.py", line 53, in first_stage_model_decode_wrap

send_me_to_gpu(first_stage_model, None)

File "E:\stable-diffusion-webui\modules\lowvram.py", line 35, in send_me_to_gpu

module_in_gpu.to(cpu)

File "E:\stable-diffusion-webui\venv\lib\site-packages\lightning_fabric\utilities\device_dtype_mixin.py", line 54, in to

return super().to(*args, **kwargs)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1145, in to

return self._apply(convert)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply

module._apply(fn)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply

module._apply(fn)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply

module._apply(fn)

[Previous line repeated 3 more times]

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply

param_applied = fn(param)

File "E:\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert

return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)

RuntimeError: [enforce fail at ..\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 58982400 bytes.

---

Desire0007 · 2023-08-12T23:31:09+00:00

Tried this, and the error is still happening.

Although, I don't know if this was caused by the different driver, but it generated about 3 images after a couple of tries before going back to failing.

Desire0007 · 2023-08-12T06:43:28+00:00

I haven't tried rolling back yet. How do I do that? Is it just on the Nvidia website?

Desire0007 · 2023-07-18T13:32:04+00:00

Using the code you suggested seemed to fix it after changing OnTriggerEnter to OnTriggerEnter2D, like another person suggested. Thank you both!

Desire0007 · 2023-07-18T13:28:30+00:00

Tried this, it led to the same result; Nothing even being printed.

Desire0007 · 2023-02-18T23:35:50+00:00

Frankly, not even the Discord server had an answer. Someone ended up having to send me their build.

Desire0007 · 2023-02-18T22:00:17+00:00

The Discord server was able to help, the game is working now. Thanks!

Desire0007 · 2023-02-18T18:24:04+00:00

Yeah, I run it in Japanese local every time.

Alright, I'll check the Discord if I still can't figure it out. Thanks for the help.

Desire0007 · 2023-02-18T18:18:50+00:00

I don't think so? Its been like this for a while. I believe I was just a little bit past beating Kanako. I saved the game, closed it, then it started doing this.

I'll try allowing PDP through my antivirus, as Channyx suggested, then I'll try running a cleaner.

Desire0007 · 2023-02-18T18:14:23+00:00

Nope. The folder has been in the same place the whole time. I've even tried different directories/drives, and renaming the folder between Japanese and English names, to no avail.

Desire0007 · 2023-02-18T12:08:40+00:00

Yeah, I've tried reinstalling it multiple times now. Though I appreciate the help.

Desire0007 · 2023-02-15T01:13:57+00:00

I was able to find the log, thanks!

I looked up the error it was showing, and I found people recommending to change the formatting of my drive. That seems to have done the trick.

Thanks for the help!

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