How to run SD3 with Tensor RT?

[Jay19751103]

Hi yusing

I convert the TRT engine with following https://github.com/yusing/ComfyUI_TensorRT/blob/master/workflows/Build.TRT.Engine_SDXL_Base_Static.json and vae use following to generate safetensors https://github.com/yusing/ComfyUI_TensorRT/blob/master/workflows/Save_SD3_VAE.json

then use the following to launch https://github.com/yusing/ComfyUI_TensorRT/blob/master/workflows/Create_SD3_TRT_Static.json It will have errors Traceback (most recent call last): File "C:\Users\wenchien\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "C:\Users\wenchien\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 "C:\Users\wenchien\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "C:\Users\wenchien\ComfyUI\nodes.py", line 1371, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "C:\Users\wenchien\ComfyUI\nodes.py", line 1341, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "C:\Users\wenchien\ComfyUI\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 "C:\Users\wenchien\ComfyUI\comfy\samplers.py", line 795, 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:\Users\wenchien\ComfyUI\comfy\samplers.py", line 697, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "C:\Users\wenchien\ComfyUI\comfy\samplers.py", line 684, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "C:\Users\wenchien\ComfyUI\comfy\samplers.py", line 663, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "C:\Users\wenchien\ComfyUI\comfy\samplers.py", line 568, 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:\Users\wenchien\AppData\Local\anaconda3\envs\trt\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, kwargs) File "C:\Users\wenchien\ComfyUI\comfy\k_diffusion\sampling.py", line 599, in sample_dpmpp_2m denoised = model(x, sigmas[i] * s_in, *extra_args) File "C:\Users\wenchien\ComfyUI\comfy\samplers.py", line 291, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "C:\Users\wenchien\ComfyUI\comfy\samplers.py", line 650, in call return self.predict_noise(args, kwargs) File "C:\Users\wenchien\ComfyUI\comfy\samplers.py", line 653, 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 "C:\Users\wenchien\ComfyUI\comfy\samplers.py", line 277, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "C:\Users\wenchien\ComfyUI\comfy\samplers.py", line 226, in calc_cond_batch output = model.apply_model(inputx, timestep, c).chunk(batch_chunks) File "C:\Users\wenchien\ComfyUI\comfy\model_base.py", line 113, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, extra_conds).float() File "C:\Users\wenchien\ComfyUI\custom_nodes\ComfyUI_TensorRT\tensorrt_loader.py", line 69, in call self.set_bindings_shape(model_inputs, curr_split_batch) UnboundLocalError: local variable 'curr_split_batch' referenced before assignment

[yusing]

Master branch不再維護了喔