pls help to advise

[hjcxlp]

Traceback (most recent call last): File "D:\anytext\main.py", line 30, in results, rtn_code, rtn_warning = pipe( File "D:\anytext\anytext_pipeline.py", line 306, in call samples, intermediates = self.ddim_sampler.sample( File "D:\anytext\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, kwargs) File "D:\anytext\cldm\ddim_hacked.py", line 103, in sample samples, intermediates = self.ddim_sampling(conditioning, size, File "D:\anytext\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "D:\anytext\cldm\ddim_hacked.py", line 163, in ddim_sampling outs = self.p_sample_ddim(img, cond, ts, index=index, use_original_steps=ddim_use_original_steps, File "D:\anytext\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "D:\anytext\cldm\ddim_hacked.py", line 190, in p_sample_ddim model_t = self.model.apply_model(x, t, c) File "D:\anytext\cldm\cldm.py", line 445, in apply_model control = self.control_model(x=x_noisy, timesteps=t, context=_cond, hint=_hint, text_info=cond['text_info']) File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, *kwargs) File "D:\anytext\cldm\cldm.py", line 339, in forward h = module(h, emb, context) File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, kwargs) File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, kwargs) File "D:\anytext\ldm\modules\diffusionmodules\openaimodel.py", line 84, in forward x = layer(x, context) File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, kwargs) File "D:\anytext\ldm\modules\attention.py", line 334, in forward x = block(x, context=context[i]) File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, kwargs) File "D:\anytext\ldm\modules\attention.py", line 269, in forward return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint) File "D:\anytext\ldm\modules\diffusionmodules\util.py", line 114, in checkpoint return CheckpointFunction.apply(func, len(inputs), args) File "D:\anytext\venv\lib\site-packages\torch\autograd\function.py", line 553, in apply return super().apply(args, kwargs) # type: ignore[misc] File "D:\anytext\ldm\modules\diffusionmodules\util.py", line 129, in forward output_tensors = ctx.run_function(ctx.input_tensors) File "D:\anytext\ldm\modules\attention.py", line 272, in _forward x = self.attn1(self.norm1(x), context=context if self.disable_self_attn else None) + x File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, *kwargs) File "D:\anytext\venv\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, kwargs) File "D:\anytext\ldm\modules\attention.py", line 192, in forward out = einsum('b i j, b j d -> b i d', sim, v) File "D:\anytext\venv\lib\site-packages\torch\functional.py", line 380, in einsum return _VF.einsum(equation, operands) # type: ignore[attr-defined] RuntimeError: expected scalar type Half but found Float

[jinchanz]

https://github.com/MaletteAI/anytext/blob/fa9a1fe714808cf612cd95f4cbae125d42a52343/main.py#L13

try setting use_fp16 to False