Problem with KSampler

Hi, I have problem until yesterday. Sorry for my english its not perfect.
Im using SDXL_1_0ComfyUI on google colab. When Im trying to generate image and process going thru KSammpler i receiving an error:

`Error occurred when executing KSampler:

No operator found for `memory_efficient_attention_forward` with inputs:
query : shape=(16, 4096, 1, 40) (torch.float16)
key : shape=(16, 4096, 1, 40) (torch.float16)
value : shape=(16, 4096, 1, 40) (torch.float16)
attn_bias :
p : 0.0
`decoderF` is not supported because:
xFormers wasn't build with CUDA support
attn_bias type is
operator wasn't built - see `python -m xformers.info` for more info
`flshattF@0.0.0` is not supported because:
xFormers wasn't build with CUDA support
requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old)
operator wasn't built - see `python -m xformers.info` for more info
`tritonflashattF` is not supported because:
xFormers wasn't build with CUDA support
requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old)
operator wasn't built - see `python -m xformers.info` for more info
triton is not available
requires GPU with sm80 minimum compute capacity, e.g., A100/H100/L4
Only work on pre-MLIR triton for now
`cutlassF` is not supported because:
xFormers wasn't build with CUDA support
operator wasn't built - see `python -m xformers.info` for more info
`smallkF` is not supported because:
max(query.shape[-1] != value.shape[-1]) > 32
xFormers wasn't build with CUDA support
dtype=torch.float16 (supported: {torch.float32})
operator wasn't built - see `python -m xformers.info` for more info
unsupported embed per head: 40

File "/content/drive/MyDrive/ComfyUI/execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/content/drive/MyDrive/ComfyUI/execution.py", line 83, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/content/drive/MyDrive/ComfyUI/execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/content/drive/MyDrive/ComfyUI/nodes.py", line 1237, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "/content/drive/MyDrive/ComfyUI/nodes.py", line 1207, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "/content/drive/MyDrive/ComfyUI/comfy/sample.py", line 97, 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 "/content/drive/MyDrive/ComfyUI/comfy/samplers.py", line 781, 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 "/content/drive/MyDrive/ComfyUI/comfy/samplers.py", line 686, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "/content/drive/MyDrive/ComfyUI/comfy/samplers.py", line 638, in sample
samples = getattr(k_diffusion_sampling, "sample_{}".format(sampler_name))(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **extra_options)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/content/drive/MyDrive/ComfyUI/comfy/k_diffusion/sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/ComfyUI/comfy/samplers.py", line 326, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/ComfyUI/comfy/k_diffusion/external.py", line 125, in forward
eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
File "/content/drive/MyDrive/ComfyUI/comfy/k_diffusion/external.py", line 151, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "/content/drive/MyDrive/ComfyUI/comfy/samplers.py", line 314, in apply_model
out = sampling_function(self.inner_model.apply_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed)
File "/content/drive/MyDrive/ComfyUI/comfy/samplers.py", line 292, in sampling_function
cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, model_options)
File "/content/drive/MyDrive/ComfyUI/comfy/samplers.py", line 268, in calc_cond_uncond_batch
output = model_function(input_x, timestep_, **c).chunk(batch_chunks)
File "/content/drive/MyDrive/ComfyUI/comfy/model_base.py", line 64, in apply_model
return self.diffusion_model(xc, t, context=context, y=c_adm, control=control, transformer_options=transformer_options).float()
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 625, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options)
File "/content/drive/MyDrive/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 56, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/ComfyUI/comfy/ldm/modules/attention.py", line 534, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/ComfyUI/comfy/ldm/modules/attention.py", line 364, in forward
return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
File "/content/drive/MyDrive/ComfyUI/comfy/ldm/modules/diffusionmodules/util.py", line 123, in checkpoint
return func(*inputs)
File "/content/drive/MyDrive/ComfyUI/comfy/ldm/modules/attention.py", line 429, in _forward
n = self.attn1(n, context=context_attn1, value=value_attn1)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/ComfyUI/comfy/ldm/modules/attention.py", line 340, in forward
out = optimized_attention(q, k, v, self.heads)
File "/content/drive/MyDrive/ComfyUI/comfy/ldm/modules/attention.py", line 267, in attention_xformers
out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None)
File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/__init__.py", line 223, in memory_efficient_attention
return _memory_efficient_attention(
File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/__init__.py", line 321, in _memory_efficient_attention
return _memory_efficient_attention_forward(
File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/__init__.py", line 337, in _memory_efficient_attention_forward
op = _dispatch_fw(inp, False)
File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/dispatch.py", line 120, in _dispatch_fw
return _run_priority_list(
File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/dispatch.py", line 63, in _run_priority_list
raise NotImplementedError(msg)

Close
Queue size: 0⚙️
Queue Prompt
Extra options
Queue FrontView QueueView History
Save
Load
Refresh
Clipspace
Clear
Load Default
text, watermark
beautiful scenery nature glass bottle landscape, , purple galaxy bottle,`

Anyone can help me? Im not a programist so its difficult for me to find a reason. Maybe Im using some old version? I tried to reinstall 2-3 times today but all the time same result. I will be glad for any help.