SD15 models supported about comfyui-layerdiffuse HOT 9 OPEN

Error occurred when executing KSampler:

CUDA error: invalid configuration argument
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.


File "/opt/ComfyUI/execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/opt/ComfyUI/execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/opt/ComfyUI/execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/opt/ComfyUI/nodes.py", line 1368, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "/opt/ComfyUI/nodes.py", line 1338, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "/opt/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 22, in informative_sample
raise e
File "/opt/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
File "/opt/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 248, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "/opt/ComfyUI/comfy/sample.py", line 100, in sample
samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "/opt/ComfyUI/comfy/samplers.py", line 703, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "/opt/ComfyUI/comfy/samplers.py", line 608, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "/opt/ComfyUI/comfy/samplers.py", line 547, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/opt/ComfyUI/comfy/k_diffusion/sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/ComfyUI/comfy/samplers.py", line 285, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/ComfyUI/comfy/samplers.py", line 272, in forward
return self.apply_model(*args, **kwargs)
File "/opt/ComfyUI/comfy/samplers.py", line 269, in apply_model
out = sampling_function(self.inner_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed)
File "/opt/ComfyUI/comfy/samplers.py", line 249, in sampling_function
cond_pred, uncond_pred = calc_cond_uncond_batch(model, cond, uncond_, x, timestep, model_options)
File "/opt/ComfyUI/comfy/samplers.py", line 223, in calc_cond_uncond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "/opt/ComfyUI/comfy/model_base.py", line 96, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 849, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
File "/opt/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 43, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/ComfyUI/comfy/ldm/modules/attention.py", line 632, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/ComfyUI/custom_nodes/ComfyUI-layerdiffuse/lib_layerdiffusion/attention_sharing.py", line 253, in forward
return func(self, x, context, transformer_options)
File "/opt/ComfyUI/comfy/ldm/modules/attention.py", line 459, in forward
return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
File "/opt/ComfyUI/comfy/ldm/modules/diffusionmodules/util.py", line 191, in checkpoint
return func(*inputs)
File "/opt/ComfyUI/comfy/ldm/modules/attention.py", line 519, in _forward
n = self.attn1(n, context=context_attn1, value=value_attn1)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/ComfyUI/custom_nodes/ComfyUI-layerdiffuse/lib_layerdiffusion/attention_sharing.py", line 239, in forward
x = optimized_attention(q, k, v, self.heads)
File "/opt/ComfyUI/comfy/ldm/modules/attention.py", line 326, in attention_xformers
out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=mask)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/xformers/ops/fmha/__init__.py", line 223, in memory_efficient_attention
return _memory_efficient_attention(
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/xformers/ops/fmha/__init__.py", line 321, in _memory_efficient_attention
return _memory_efficient_attention_forward(
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/xformers/ops/fmha/__init__.py", line 341, in _memory_efficient_attention_forward
out, *_ = op.apply(inp, needs_gradient=False)
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/xformers/ops/fmha/flash.py", line 458, in apply
out, softmax_lse, rng_state = cls.OPERATOR(
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/torch/_ops.py", line 755, in __call__
return self._op(*args, **(kwargs or {}))
File "/opt/micromamba/envs/comfyui/lib/python3.10/site-packages/xformers/ops/fmha/flash.py", line 106, in _flash_fwd
) = _C_flashattention.fwd(