Seedsa
commented
1 month ago should be fixed now, try to upgrade.
Open xiao-ning-ning opened 2 months ago
Seedsa
commented
1 month ago should be fixed now, try to upgrade.
Error occurred when executing Fooocus Upscale:
Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat1 in method wrapper_CUDA_addmm)
File "C:\AI\ComfyUI-aki-v1.1\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "C:\AI\ComfyUI-aki-v1.1\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "C:\AI\ComfyUI-aki-v1.1\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\fooocusNodes.py", line 879, in FooocusUpscale imgs = pipeline.process_diffusion( File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\modules\default_pipeline.py", line 362, in process_diffusion sampled_latent = core.ksampler( File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\modules\core.py", line 309, in ksampler samples = ldm_patched.modules.sample.sample(model, File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\modules\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 "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\modules\samplers.py", line 712, 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 "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\modules\sample_hijack.py", line 157, in sample_hacked samples = sampler.sample(model_wrap, sigmas, extra_args, callback_wrap, noise, latent_image, denoise_mask, disable_pbar) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\modules\samplers.py", line 557, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, self.extra_options) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\k_diffusion\sampling.py", line 701, in sample_dpmpp_2m_sde_gpu return sample_dpmpp_2m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\k_diffusion\sampling.py", line 613, in sample_dpmpp_2m_sde denoised = model(x, sigmas[i] s_in, extra_args) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, *kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\modules\patch.py", line 321, in patched_KSamplerX0Inpaint_forward out = self.inner_model(x, sigma, File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\modules\samplers.py", line 271, in forward return self.apply_model(*args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\modules\samplers.py", line 268, in apply_model out = sampling_function(self.inner_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\modules\patch.py", line 237, in patched_sampling_function positive_x0, negative_x0 = calc_cond_uncond_batch(model, cond, uncond, x, timestep, model_options) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\modules\samplers.py", line 222, in calc_cond_uncond_batch output = model.apply_model(inputx, timestep, c).chunk(batch_chunks) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\modules\model_base.py", line 85, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, *extra_conds).float() File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\modules\patch.py", line 395, in patched_unet_forward emb = self.time_embed(t_emb) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\container.py", line 217, in forward input = module(input) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, *kwargs) File "C:\AI\ComfyUI-aki-v1.1\custom_nodes\Fooocus_Nodes\py\ldm_patched\modules\ops.py", line 27, in forward return super().forward(args, kwargs) File "C:\AI\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\linear.py", line 116, in forward return F.linear(input, self.weight, self.bias)
help!