TextEncodeV2 and UNETLoaderV2 cannot create photos (只出黑图)，as well as the ControlNet.

[banyeshuiwujiao]

新版的TextEncodeV2和UNETLoaderV2无法出图，ControlNet也不能用, 以下图片是我的测试工作流

换成旧版的可以,但是旧版的没法用ControlNet，报错：'UNetModel' object has no attribute 'encoder_hid_proj'

Error occurred when executing KSampler:

'UNetModel' object has no attribute 'encoder_hid_proj'

File "D:\Program Files\ComfyUI-aki-v1.3\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\Program Files\ComfyUI-aki-v1.3\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "D:\Program Files\ComfyUI-aki-v1.3\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "D:\Program Files\ComfyUI-aki-v1.3\nodes.py", line 1373, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "D:\Program Files\ComfyUI-aki-v1.3\nodes.py", line 1343, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "D:\Program Files\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample return original_sample(*args, *kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations. File "D:\Program Files\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 248, in motion_sample return orig_comfy_sample(model, noise, args, kwargs) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\sample.py", line 43, in sample samples = sampler.sample(noise, positive, negative, 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 "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 817, 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 "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 717, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 704, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 683, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 588, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, self.extra_options) File "D:\Program Files\ComfyUI-aki-v1.3\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\k_diffusion\sampling.py", line 732, 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 "D:\Program Files\ComfyUI-aki-v1.3\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\k_diffusion\sampling.py", line 635, in sample_dpmpp_2m_sde denoised = model(x, sigmas[i] * s_in, extra_args) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 299, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 670, in call return self.predict_noise(args, kwargs) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 673, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 279, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\samplers.py", line 202, in calc_cond_batch c['control'] = control.get_control(inputx, timestep, c, len(cond_or_uncond)) File "D:\Program Files\ComfyUI-aki-v1.3\comfy\controlnet.py", line 200, in get_control control = self.control_model(x=x_noisy.to(dtype), hint=self.cond_hint, timesteps=timestep.float(), context=context.to(dtype), y=y, self.extra_args) File "D:\Program Files\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(args, kwargs) File "D:\Program Files\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) File "D:\Program Files\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Kolors-MZ\mz_kolors_core.py", line 222, in KolorsControlNet_forward context = model.model.diffusion_model.encoder_hid_proj(context) File "D:\Program Files\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1709, in getattr raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'")

[banyeshuiwujiao]

Diagnostics-1721556795.log

[wailovet]

Diagnostics-1721556795.log

用的秋叶吗,有没有开了什么优化项,精度尝试一下设置在fp32看看

[banyeshuiwujiao]

solved，已解决，回来报告一下： Empty latent Image必须用默认的7681024，才可以用新版V2出图，512512就是黑图，不知道原因

[banyeshuiwujiao]

更新到torch1.24+cu121,