[KSamplerFABRIC] 'BaseModel' object has no attribute 'get_model_object'

[renwerx]

Clicked "update all" before I went to bed last night now I'm getting this:

Error occurred when executing KSamplerFABRIC:

'BaseModel' object has no attribute 'get_model_object'

File "K:\Programs\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "K:\Programs\ComfyUI\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "K:\Programs\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI_fabric\nodes.py", line 181, in sample return KSamplerFABRICAdv().sample(*args, *kwargs) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI_fabric\nodes.py", line 138, in sample return fabric_sample(args, kwargs) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI_fabric\fabric\fabric.py", line 42, in fabric_sample timesteps = get_timesteps(model, steps, sampler_name, scheduler, denoise) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI_fabric\fabric\unet.py", line 50, in get_timesteps sampler = comfy.samplers.KSampler( File "K:\Programs\ComfyUI\comfy\samplers.py", line 705, in init self.set_steps(steps, denoise) File "K:\Programs\ComfyUI\comfy\samplers.py", line 726, in set_steps self.sigmas = self.calculate_sigmas(steps).to(self.device) File "K:\Programs\ComfyUI\comfy\samplers.py", line 717, in calculate_sigmas sigmas = calculate_sigmas(self.model.get_model_object("model_sampling"), self.scheduler, steps) File "K:\Programs\python\3.10.6\lib\site-packages\torch\nn\modules\module.py", line 1688, in getattr raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'")

[ssitu]

Probably an update to comfyui. You'll have to downgrade or wait until I'm able to get to it.

[renwerx]

Not a problem, thanks for the prompt reply and for the node set itself. I'll workaround and keep watching this thread. Cheers.

[954114865]

same here

[ssitu]

Should be fixed now

[renwerx]

Thanks for that! I updated all and it is working fine with 1.5 however XL throws the following (workflow included below):

Error occurred when executing KSamplerFABRIC:

File "K:\Programs\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "K:\Programs\ComfyUI\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "K:\Programs\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI_fabric\nodes.py", line 181, in sample return KSamplerFABRICAdv().sample(*args, *kwargs) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI_fabric\nodes.py", line 138, in sample return fabric_sample(args, kwargs) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI_fabric\fabric\fabric.py", line 52, in fabric_sample samples = KSamplerAdvanced().sample(model_patched, add_noise, noise_seed, steps, cfg, sampler_name, scheduler, positive, File "K:\Programs\ComfyUI\nodes.py", line 1378, 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 "K:\Programs\ComfyUI\nodes.py", line 1314, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "K:\Programs\ComfyUI\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 "K:\Programs\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 313, in motion_sample return orig_comfy_sample(model, noise, *args, *kwargs) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample return orig_comfy_sample(model, args, kwargs) File "K:\Programs\ComfyUI\comfy\sample.py", line 37, 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 "K:\Programs\ComfyUI\comfy\samplers.py", line 761, 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 "K:\Programs\ComfyUI\comfy\samplers.py", line 663, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "K:\Programs\ComfyUI\comfy\samplers.py", line 650, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "K:\Programs\ComfyUI\comfy\samplers.py", line 629, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "K:\Programs\ComfyUI\comfy\samplers.py", line 534, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, self.extra_options) File "K:\Programs\python\3.10.6\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "K:\Programs\ComfyUI\comfy\k_diffusion\sampling.py", line 715, 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 "K:\Programs\python\3.10.6\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "K:\Programs\ComfyUI\comfy\k_diffusion\sampling.py", line 618, in sample_dpmpp_2m_sde denoised = model(x, sigmas[i] * s_in, extra_args) File "K:\Programs\ComfyUI\comfy\samplers.py", line 272, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "K:\Programs\ComfyUI\comfy\samplers.py", line 616, in call return self.predict_noise(*args, kwargs) File "K:\Programs\ComfyUI\comfy\samplers.py", line 619, 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 "K:\Programs\ComfyUI\comfy\samplers.py", line 258, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion.patches.py", line 4, in calc_cond_batch return calc_cond_batch_original_tiled_diffusion_9aa7f715(model, conds, x_in, timestep, model_options) File "K:\Programs\ComfyUI\comfy\samplers.py", line 216, in calc_cond_batch output = model_options['model_function_wrapper'](model.apply_model, {"input": inputx, "timestep": timestep, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks) File "K:\Programs\ComfyUI\custom_nodes\ComfyUI_fabric\fabric\fabric.py", line 281, in unetwrapper = model_func(batch_latents, batch_ts, c_null_dict) File "K:\Programs\ComfyUI\comfy\model_base.py", line 97, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, *extra_conds).float() File "K:\Programs\python\3.10.6\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, kwargs) File "K:\Programs\python\3.10.6\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, **kwargs) File "K:\Programs\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 844, in forward assert y.shape[0] == x.shape[0]

[ssitu]

I'm aware of the problem with XL and there is an existing issue for it. It has been giving that error since XL was released. I don't have the vram to run XL, so I haven't been able to debug it.

[renwerx]

All good, I feel you. I ate only noodles for three months to afford my 3060 and it's still only the bare minimum. This is going to be very useful even with only 1.5. Thanks again!

[renwerx]

How can I give you $25 towards a card?

[ssitu]

I appreciate the generosity, though a gpu isn't my priority at the moment so it wouldn't be fair to accept it.

[renwerx]

No strings implied lol I give you permission to spend it on whatever your priority is :). I also use USDU regularly so it's no skin off my nose to kick you a little something. If you just want to be an absolute champion and take the kudos in lieu other rewards then that's cool too and I salute you. Cheers!