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ssitu / ComfyUI_fabric

ComfyUI nodes based on the paper "FABRIC: Personalizing Diffusion Models with Iterative Feedback" (Feedback via Attention-Based Reference Image Conditioning)
GNU General Public License v3.0
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[Bug] fp16 error #5

Closed diaopal closed 11 months ago

diaopal commented 12 months ago 
ComfyUI/ 03:11:24 AM ❯ comfyui --enable-cors-header --preview-method taesd --port 8181 --disable-xformers --dont-upcast-attention
Total VRAM 12287 MB, total RAM 16324 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3060 : native
VAE dtype: torch.bfloat16
disabling upcasting of attention
Using pytorch cross attention

[rgthree] Optimizing ComfyUI reursive execution. If queueing and/or re-queueing seems broken, change "patch_recursive_execution" to false in rgthree_config.json

Prestartup times for custom nodes:
   3.8 seconds: C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\custom_nodes\rgthree-comfy

rgthree's comfy nodes: Loaded 14 exciting nodes.

Import times for custom nodes:
   0.0 seconds: C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_fabric
   0.0 seconds: C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\custom_nodes\rgthree-comfy

Starting server

To see the GUI go to: http://127.0.0.1:8181
got prompt
model_type EPS
adm 0
making attention of type 'vanilla-pytorch' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla-pytorch' with 512 in_channels
missing {'cond_stage_model.logit_scale', 'cond_stage_model.text_projection'}
left over keys: dict_keys(['alphas_cumprod', 'alphas_cumprod_prev', 'betas', 'embedding_manager.embedder.transformer.text_model.embeddings.position_embedding.weight', 'embedding_manager.embedder.transformer.text_model.embeddings.position_ids', 'embedding_manager.embedder.transformer.text_model.embeddings.token_embedding.weight', 'embedding_manager.embedder.transformer.text_model.encoder.layers.0.layer_norm1.bias', 'embedding_manager.embedder.transformer.text_model.encoder.layers.0.layer_norm1.weight', 'embedding_manager.embedder.transformer.text_model.encoder.layers.0.layer_norm2.bias', 'embedding_manager.embedder.transformer.text_model.encoder.layers.0.layer_norm2.weight', 'embedding_manager.embedder.transformer.text_model.encoder.layers.0.mlp.fc1.bias', 'embedding_manager.embedder.transformer.text_model.encoder.layers.0.mlp.fc1.weight', 'embedding_manager.embedder.transformer.text_model.encoder.layers.0.mlp.fc2.bias', 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'lora_te_text_model_encoder_layers_9_mlp_fc1.alpha', 'lora_te_text_model_encoder_layers_9_mlp_fc1.lora_down.weight', 'lora_te_text_model_encoder_layers_9_mlp_fc1.lora_up.weight', 'lora_te_text_model_encoder_layers_9_mlp_fc2.alpha', 'lora_te_text_model_encoder_layers_9_mlp_fc2.lora_down.weight', 'lora_te_text_model_encoder_layers_9_mlp_fc2.lora_up.weight', 'lora_te_text_model_encoder_layers_9_self_attn_k_proj.alpha', 'lora_te_text_model_encoder_layers_9_self_attn_k_proj.lora_down.weight', 'lora_te_text_model_encoder_layers_9_self_attn_k_proj.lora_up.weight', 'lora_te_text_model_encoder_layers_9_self_attn_out_proj.alpha', 'lora_te_text_model_encoder_layers_9_self_attn_out_proj.lora_down.weight', 'lora_te_text_model_encoder_layers_9_self_attn_out_proj.lora_up.weight', 'lora_te_text_model_encoder_layers_9_self_attn_q_proj.alpha', 'lora_te_text_model_encoder_layers_9_self_attn_q_proj.lora_down.weight', 'lora_te_text_model_encoder_layers_9_self_attn_q_proj.lora_up.weight', 'lora_te_text_model_encoder_layers_9_self_attn_v_proj.alpha', 'lora_te_text_model_encoder_layers_9_self_attn_v_proj.lora_down.weight', 'lora_te_text_model_encoder_layers_9_self_attn_v_proj.lora_up.weight', 'model_ema.decay', 'model_ema.num_updates', 'posterior_log_variance_clipped', 'posterior_mean_coef1', 'posterior_mean_coef2', 'posterior_variance', 'sqrt_alphas_cumprod', 'sqrt_one_minus_alphas_cumprod', 'sqrt_recip_alphas_cumprod', 'sqrt_recipm1_alphas_cumprod'])
making attention of type 'vanilla-pytorch' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla-pytorch' with 512 in_channels
loading new
[FABRIC] No reference latents found. Defaulting to regular KSampler.
C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\_utils.py:847: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
  return self.fget.__get__(instance, owner)()
loading new
100%|██████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.29it/s]
[FABRIC] 2 positive latents, 1 negative latents
loading new
unload clone 1
  0%|                                                                                                      | 0/3 [00:00<?, ?it/s]
!!! Exception during processing !!!
Traceback (most recent call last):
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\execution.py", line 152, in recursive_execute
    output_data, output_ui = get_output_data(obj, input_data_all)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\execution.py", line 82, in get_output_data
    return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in map_node_over_list
    results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_fabric\nodes.py", line 181, in sample
    return KSamplerFABRICAdv().sample(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_fabric\nodes.py", line 138, in sample
    return fabric_sample(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_fabric\fabric\fabric.py", line 49, in fabric_sample
    samples = KSamplerAdvanced().sample(model_patched, add_noise, noise_seed, steps, cfg, sampler_name, scheduler, positive,
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1270, in sample
    return common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1206, in common_ksampler
    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 93, 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 "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 742, in sample
    samples = getattr(k_diffusion_sampling, "sample_{}".format(self.sampler))(self.model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 580, in sample_dpmpp_2m
    denoised = model(x, sigmas[i] * s_in, **extra_args)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1522, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1531, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 323, in forward
    out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, cond_concat=cond_concat, model_options=model_options, seed=seed)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1522, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1531, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 125, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 151, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 311, in apply_model
    out = sampling_function(self.inner_model.apply_model, x, timestep, uncond, cond, cond_scale, cond_concat, model_options=model_options, seed=seed)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 289, in sampling_function
    cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, cond_concat, model_options)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 263, in calc_cond_uncond_batch
    output = model_options['model_function_wrapper'](model_function, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_fabric\fabric\fabric.py", line 266, in unet_wrapper
    out = model_func(input, ts, **c)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", line 63, in apply_model
    return self.diffusion_model(xc, t, context=context, y=c_adm, control=control, transformer_options=transformer_options).float()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1522, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1531, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 627, in forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 56, in forward_timestep_embed
    x = layer(x, context, transformer_options)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1522, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1531, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 693, in forward
    x = block(x, context=context[i], transformer_options=transformer_options)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1522, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1531, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 525, in forward
    return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\util.py", line 123, in checkpoint
    return func(*inputs)
           ^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 588, in _forward
    n = self.attn1(n, context=context_attn1, value=value_attn1)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1522, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1531, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 469, in forward
    k = self.to_k(context)
        ^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1522, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1531, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Anon\Downloads\Programs\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 18, in forward
    return torch.nn.functional.linear(input, self.weight, self.bias)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: expected mat1 and mat2 to have the same dtype, but got: float != struct c10::Half

Prompt executed in 9.29 seconds

For a workaround, patch comfy.ops.Linear.forward:

-        return torch.nn.functional.linear(input, self.weight, self.bias)
+        return torch.nn.functional.linear(input.to(self.weight.dtype), self.weight, self.bias)
ssitu commented 11 months ago

This should be fixed now with 3709bcfb34a1f57678e271ddd0af34e80bf8a6e1