koi_colab_backend in colab say ""

[Randrana]

When I call the colab server from Krita, colab say RuntimeError: CUDA out of memory.
I have no idea what to do.

ERROR:__main__:Exception on /api/img2img [POST]
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/dist-packages/flask/app.py", line 2525, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.7/dist-packages/flask/app.py", line 1822, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.7/dist-packages/flask/app.py", line 1820, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.7/dist-packages/flask/app.py", line 1796, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "<ipython-input-1-35b40b736f48>", line 75, in img2img
    num_inference_steps=int(headers["steps"]),
  File "/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/dist-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py", line 272, in __call__
    noise_pred = self.unet(latent_model_input, t, encoder_hidden_states=text_embeddings).sample
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_2d_condition.py", line 237, in forward
    hidden_states=sample, temb=emb, encoder_hidden_states=encoder_hidden_states
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_blocks.py", line 550, in forward
    hidden_states = attn(hidden_states, context=encoder_hidden_states)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 149, in forward
    hidden_states = block(hidden_states, context=context)
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 198, in forward
    hidden_states = self.attn1(self.norm1(hidden_states)) + hidden_states
  File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 268, in forward
    hidden_states = self._attention(query, key, value)
  File "/usr/local/lib/python3.7/dist-packages/diffusers/models/attention.py", line 275, in _attention
    attention_scores = torch.matmul(query, key.transpose(-1, -2)) * self.scale
RuntimeError: CUDA out of memory. Tried to allocate 8.00 GiB (GPU 0; 14.76 GiB total capacity; 10.75 GiB already allocated; 2.36 GiB free; 11.34 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
INFO:werkzeug:127.0.0.1 - - [18/Sep/2022 14:56:17] "POST /api/img2img HTTP/1.1" 500 -