To create a public link, set `share=True` in `launch()`.
Startup time: 27.3s (import gradio: 6.9s, import ldm: 3.8s, other imports: 6.9s, setup codeformer: 0.2s, load scripts: 1.7s, load SD checkpoint: 6.9s, create ui: 0.4s, gradio launch: 0.3s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [06:20<00:00, 19.01s/it]
Error completing request███████████████████████████████████████████████████████████████| 20/20 [05:59<00:00, 18.89s/it]
Arguments: ('task(l2zw1ytw78ue4s9)', 'sky and clouds', '', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, [], 0, False, False, 'positive', 'comma', 0, False, False, '', 1, '', 0, '', 0, '', True, False, False, False, 0) {}
Traceback (most recent call last):
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\modules\call_queue.py", line 56, in f
    res = list(func(*args, **kwargs))
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\modules\call_queue.py", line 37, in f
    res = func(*args, **kwargs)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\modules\txt2img.py", line 56, in txt2img
    processed = process_images(p)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\modules\processing.py", line 486, in process_images
    res = process_images_inner(p)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\modules\processing.py", line 638, in process_images_inner
    x_samples_ddim = [decode_first_stage(p.sd_model, samples_ddim[i:i+1].to(dtype=devices.dtype_vae))[0].cpu() for i in range(samples_ddim.size(0))]
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\modules\processing.py", line 638, in 
    x_samples_ddim = [decode_first_stage(p.sd_model, samples_ddim[i:i+1].to(dtype=devices.dtype_vae))[0].cpu() for i in range(samples_ddim.size(0))]
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\modules\processing.py", line 423, in decode_first_stage
    x = model.decode_first_stage(x)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\modules\sd_hijack_utils.py", line 17, in 
    setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\modules\sd_hijack_utils.py", line 28, in __call__
    return self.__orig_func(*args, **kwargs)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 826, in decode_first_stage
    return self.first_stage_model.decode(z)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\repositories\stable-diffusion-stability-ai\ldm\models\autoencoder.py", line 90, in decode
    dec = self.decoder(z)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\model.py", line 631, in forward
    h = self.mid.attn_1(h)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\model.py", line 258, in forward
    out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None, op=self.attention_op)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\venv\lib\site-packages\xformers\ops\fmha\__init__.py", line 196, in memory_efficient_attention
    return _memory_efficient_attention(
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\venv\lib\site-packages\xformers\ops\fmha\__init__.py", line 294, in _memory_efficient_attention
    return _memory_efficient_attention_forward(
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\venv\lib\site-packages\xformers\ops\fmha\__init__.py", line 310, in _memory_efficient_attention_forward
    op = _dispatch_fw(inp)
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\venv\lib\site-packages\xformers\ops\fmha\dispatch.py", line 98, in _dispatch_fw
    return _run_priority_list(
  File "F:\stable-diffusion\AI-moxing\stable-diffusion-webui-master\venv\lib\site-packages\xformers\ops\fmha\dispatch.py", line 73, in _run_priority_list
    raise NotImplementedError(msg)
NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs:
     query       : shape=(1, 4096, 1, 512) (torch.float32)
     key         : shape=(1, 4096, 1, 512) (torch.float32)
     value       : shape=(1, 4096, 1, 512) (torch.float32)
     attn_bias   : 
     p           : 0.0
`cutlassF` is not supported because:
    device=cpu (supported: {'cuda'})
    Operator wasn't built - see `python -m xformers.info` for more info
`flshattF` is not supported because:
    device=cpu (supported: {'cuda'})
    dtype=torch.float32 (supported: {torch.bfloat16, torch.float16})
    max(query.shape[-1] != value.shape[-1]) > 128
    Operator wasn't built - see `python -m xformers.info` for more info
`tritonflashattF` is not supported because:
    device=cpu (supported: {'cuda'})
    dtype=torch.float32 (supported: {torch.bfloat16, torch.float16})
    max(query.shape[-1] != value.shape[-1]) > 128
    Operator wasn't built - see `python -m xformers.info` for more info
    triton is not available
`smallkF` is not supported because:
    max(query.shape[-1] != value.shape[-1]) > 32
    Operator wasn't built - see `python -m xformers.info` for more info
    unsupported embed per head: 512