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14:48:10-578616 INFO Starting SD.Next 14:48:10-582614 INFO Logger: file="h:\Apps\sdnext-new\sdnext.log" level=DEBUG size=65 mode=create 14:48:10-586616 INFO Python: version=3.11.9 platform=Windows bin="H:\Python311\python.exe" venv="H:\Python311" 14:48:10-892615 INFO Version: app=sd.next updated=2025-01-29 hash=46464c4 branch=master url=https://github.com/vladmandic/sdnext/tree/master ui=main 14:48:11-570821 INFO Platform: arch=AMD64 cpu=AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD system=Windows release=Windows-10-10.0.19044-SP0 python=3.11.9 docker=False 14:48:11-576823 DEBUG Packages: venv=..\..\Python311 site=['..\\..\\Python311', '..\\..\\Python311\\Lib\\site-packages'] 14:48:11-579819 INFO Args: ['--upgrade', '--requirements'] 14:48:11-581818 DEBUG Setting environment tuning 14:48:11-583822 DEBUG Torch allocator: "garbage_collection_threshold:0.80,max_split_size_mb:512" 14:48:11-614823 DEBUG Torch overrides: cuda=False rocm=False ipex=False directml=False openvino=False zluda=False 14:48:11-642820 INFO CUDA: nVidia toolkit detected 14:48:11-644820 INFO Diffusers update: package=diffusers 0.33.0.dev0 current= target=7b100ce589b917d4c116c9e61a6ec46d4f2ab062 14:48:56-693408 INFO Install: verifying requirements 14:48:56-702408 WARNING Install: package="safetensors" installed=0.5.2 required=0.5.0 version mismatch 14:48:59-591048 WARNING Install: package="accelerate" installed=1.3.0 required=1.2.1 version mismatch 14:49:03-579236 WARNING Install: package="huggingface_hub" installed=0.28.1 required=0.27.0 version mismatch 14:49:07-641976 WARNING Install: package="transformers" installed=4.48.1 required=4.47.1 version mismatch 14:49:37-532866 INFO Startup: standard 14:49:37-534866 INFO Verifying submodules 14:50:25-736917 DEBUG Git detached head detected: folder="extensions-builtin/sd-extension-chainner" reattach=main 14:50:25-739918 DEBUG Git submodule: extensions-builtin/sd-extension-chainner / main 14:50:26-565103 DEBUG Git detached head detected: folder="extensions-builtin/sd-extension-system-info" reattach=main 14:50:26-568102 DEBUG Git submodule: extensions-builtin/sd-extension-system-info / main 14:50:27-362314 DEBUG Git detached head detected: folder="extensions-builtin/sd-webui-agent-scheduler" reattach=main 14:50:27-365314 DEBUG Git submodule: extensions-builtin/sd-webui-agent-scheduler / main 14:50:28-195492 DEBUG Git detached head detected: folder="extensions-builtin/sdnext-modernui" reattach=main 14:50:28-198491 DEBUG Git submodule: extensions-builtin/sdnext-modernui / main 14:50:29-002112 DEBUG Git detached head detected: folder="extensions-builtin/stable-diffusion-webui-rembg" reattach=master 14:50:29-005110 DEBUG Git submodule: extensions-builtin/stable-diffusion-webui-rembg / master 14:50:29-811336 DEBUG Git detached head detected: folder="modules/k-diffusion" reattach=master 14:50:29-813337 DEBUG Git submodule: modules/k-diffusion / master 14:50:30-626402 DEBUG Git detached head detected: folder="wiki" reattach=master 14:50:30-629403 DEBUG Git submodule: wiki / master 14:50:31-357401 DEBUG Register paths 14:50:31-554404 DEBUG Installed packages: 359 14:50:31-557406 DEBUG Extensions all: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info', 'sd-webui-agent-scheduler', 'sdnext-modernui', 'stable-diffusion-webui-rembg'] 14:50:32-332402 DEBUG Git submodule: extensions-builtin\sd-extension-chainner / main 14:50:33-335403 DEBUG Git submodule: extensions-builtin\sd-extension-system-info / main 14:50:34-220712 DEBUG Git submodule: extensions-builtin\sd-webui-agent-scheduler / main 14:50:34-928712 DEBUG Extension installer: H:\Apps\sdnext-new\extensions-builtin\sd-webui-agent-scheduler\install.py 14:50:37-376831 DEBUG Git submodule: extensions-builtin\sdnext-modernui / main 14:50:38-254833 DEBUG Git submodule: extensions-builtin\stable-diffusion-webui-rembg / master 14:50:38-931832 DEBUG Extension installer: H:\Apps\sdnext-new\extensions-builtin\stable-diffusion-webui-rembg\install.py 14:50:46-167576 DEBUG Extensions all: [] ---- 02:09:25-730206 DEBUG XYZ grid process: x=2/5 y=4/4 z=1/1 total=0.85 02:09:25-734205 DEBUG XYZ grid apply setting: schedulers_sigma=karras 02:09:25-736207 DEBUG XYZ grid apply setting: schedulers_beta_schedule=cosine 02:09:25-740695 DEBUG Sampler: "DPM++ 3M" class=DPMSolverMultistepScheduler config={'num_train_timesteps': 1000, 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': 'squaredcos_cap_v2', 'solver_order': 3, 'prediction_type': 'epsilon', 'dynamic_thresholding_ratio': 0.995, 'sample_max_value': 1.0, 'algorithm_type': 'dpmsolver++', 'solver_type': 'midpoint', 'lower_order_final': True, 'use_karras_sigmas': True, 'flow_shift': 1.0, 'final_sigmas_type': 'zero', 'lambda_min_clipped': -inf, 'timestep_spacing': 'trailing', 'steps_offset': 0} 02:09:25-775694 INFO Base: pipeline=StableDiffusionXLPipeline task=TEXT_2_IMAGE batch=1/1x1 set={'guidance_scale': 4, 'generator': 'cuda:[1514168990]', 'num_inference_steps': 30, 'eta': 1.0, 'guidance_rescale': 0.7, 'denoising_end': None, 'output_type': 'latent', 'width': 1280, 'height': 768, 'parser': 'native', 'prompt': 'embeds'} 02:09:25-851272 DEBUG HiDiffusion apply: raunet=True attn=True aggressive=True:8 t1=-1 t2=-1 time=0.02 type=sdxl width=1280 height=768 Progress 1.99it/s ███████████████████████████████▉ 97% 29/30 00:14 00:00 Base 02:09:40-439285 ERROR XYZ grid: Failed to process image: index 31 is out of bounds for dimension 0 with size 31 02:09:40-442287 ERROR XYZ grid: IndexError ┌─────────────────────────────────────────────────────────────────────────────────────── Traceback (most recent call last) ───────────────────────────────────────────────────────────────────────────────────────┐ │ H:\Apps\sdnext-new\scripts\xyz_grid_on.py:335 in cell │ │ │ │ 334 │ │ │ try: │ │ > 335 │ │ │ │ processed = processing.process_images(pc) │ │ 336 │ │ │ except Exception as e: │ │ │ │ H:\Apps\sdnext-new\modules\processing.py:212 in process_images │ │ │ │ 211 │ │ │ with context_hypertile_vae(p), context_hypertile_unet(p): │ │ > 212 │ │ │ │ processed = process_images_inner(p) │ │ 213 │ │ │ │ H:\Apps\sdnext-new\modules\processing.py:342 in process_images_inner │ │ │ │ 341 │ │ │ │ │ from modules.processing_diffusers import process_diffusers │ │ > 342 │ │ │ │ │ samples = process_diffusers(p) │ │ 343 │ │ │ │ else: │ │ │ │ H:\Apps\sdnext-new\modules\processing_diffusers.py:449 in process_diffusers │ │ │ │ 448 │ if 'base' not in p.skip: │ │ > 449 │ │ output = process_base(p) │ │ 450 │ else: │ │ │ │ H:\Apps\sdnext-new\modules\processing_diffusers.py:101 in process_base │ │ │ │ 100 │ │ else: │ │ > 101 │ │ │ output = shared.sd_model(**base_args) │ │ 102 │ │ if isinstance(output, dict): │ │ │ │ H:\Python311\Lib\site-packages\torch\utils\_contextlib.py:116 in decorate_context │ │ │ │ 115 │ │ with ctx_factory(): │ │ > 116 │ │ │ return func(*args, **kwargs) │ │ 117 │ │ │ │ H:\Python311\Lib\site-packages\diffusers\pipelines\stable_diffusion_xl\pipeline_stable_diffusion_xl.py:1237 in __call__ │ │ │ │ 1236 │ │ │ │ latents_dtype = latents.dtype │ │ > 1237 │ │ │ │ latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0] │ │ 1238 │ │ │ │ if latents.dtype != latents_dtype: │ │ │ │ H:\Python311\Lib\site-packages\diffusers\schedulers\scheduling_dpmsolver_multistep.py:1104 in step │ │ │ │ 1103 │ │ else: │ │ > 1104 │ │ │ prev_sample = self.multistep_dpm_solver_third_order_update(self.model_outputs, sample=sample, noise=noise) │ │ 1105 │ │ │ │ H:\Python311\Lib\site-packages\diffusers\schedulers\scheduling_dpmsolver_multistep.py:949 in multistep_dpm_solver_third_order_update │ │ │ │ 948 │ │ sigma_t, sigma_s0, sigma_s1, sigma_s2 = ( │ │ > 949 │ │ │ self.sigmas[self.step_index + 1], │ │ 950 │ │ │ self.sigmas[self.step_index], │ └─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘ IndexError: index 31 is out of bounds for dimension 0 with size 31 02:09:40-999697 DEBUG XYZ grid process: x=3/5 y=4/4 z=1/1 total=0.90 02:09:41-004695 DEBUG XYZ grid apply setting: schedulers_sigma=betas 02:09:41-006696 DEBUG XYZ grid apply setting: schedulers_beta_schedule=cosine 02:09:41-011698 DEBUG Sampler: "DPM++ 3M" class=DPMSolverMultistepScheduler config={'num_train_timesteps': 1000, 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': 'squaredcos_cap_v2', 'solver_order': 3, 'prediction_type': 'epsilon', 'dynamic_thresholding_ratio': 0.995, 'sample_max_value': 1.0, 'algorithm_type': 'dpmsolver++', 'solver_type': 'midpoint', 'lower_order_final': True, 'use_beta_sigmas': True, 'flow_shift': 1.0, 'final_sigmas_type': 'zero', 'lambda_min_clipped': -inf, 'timestep_spacing': 'trailing', 'steps_offset': 0} 02:09:41-504972 INFO Base: pipeline=StableDiffusionXLPipeline task=TEXT_2_IMAGE batch=1/1x1 set={'guidance_scale': 4, 'generator': 'cuda:[1514168990]', 'num_inference_steps': 30, 'eta': 1.0, 'guidance_rescale': 0.7, 'denoising_end': None, 'output_type': 'latent', 'width': 1280, 'height': 768, 'parser': 'native', 'prompt': 'embeds'} 02:09:41-584259 DEBUG HiDiffusion apply: raunet=True attn=True aggressive=True:8 t1=-1 t2=-1 time=0.01 type=sdxl width=1280 height=768 Progress 2.21it/s ███▍ 10% 3/30 00:01 00:12 BaseH:\Python311\Lib\site-packages\torchvision\transforms\functional.py:282: RuntimeWarning: invalid value encountered in cast npimg = (npimg * 255).astype(np.uint8) Progress 2.06it/s █████████████████████████████████ 100% 30/30 00:14 00:00 Base 02:09:56-958434 DEBUG Decode: vae="default" upcast=False slicing=True tiling=False latents=torch.Size([1, 4, 96, 160]):cuda:0:torch.bfloat16 time=0.055 02:09:57-526142 INFO Save: image="outputs\text\00103-tempestByVlad_v01-Amorphous abyssal abomination with tendrils of shadow that.jpg" type=JPEG width=1280 height=768 size=187451 02:09:57-531143 INFO Processed: images=1 its=1.82 time=16.52 timers={'pipeline': 14.83, 'preview': 4.44, 'decode': 1.08, 'offload': 0.97, 'move': 0.57, 'encode': 0.47, 'gc': 0.38} memory={'ram': {'used': 1.12, 'total': 63.92}, 'gpu': {'used': 6.2, 'total': 12.0}, 'retries': 0, 'oom': 0} 02:09:57-835254 DEBUG GC: current={'gpu': 1.71, 'ram': 1.12, 'oom': 0} prev={'gpu': 6.2, 'ram': 1.12} load={'gpu': 14, 'ram': 2} gc={'gpu': 4.49, 'py': 410} fn=process_images:process_images_inner why=final time=0.29 02:09:57-851293 DEBUG XYZ grid process: x=4/5 y=4/4 z=1/1 total=0.95 02:09:57-856296 DEBUG XYZ grid apply setting: schedulers_sigma=exponential 02:09:57-858294 DEBUG XYZ grid apply setting: schedulers_beta_schedule=cosine 02:09:57-863294 DEBUG Sampler: "DPM++ 3M" class=DPMSolverMultistepScheduler config={'num_train_timesteps': 1000, 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': 'squaredcos_cap_v2', 'solver_order': 3, 'prediction_type': 'epsilon', 'dynamic_thresholding_ratio': 0.995, 'sample_max_value': 1.0, 'algorithm_type': 'dpmsolver++', 'solver_type': 'midpoint', 'lower_order_final': True, 'use_exponential_sigmas': True, 'flow_shift': 1.0, 'final_sigmas_type': 'zero', 'lambda_min_clipped': -inf, 'timestep_spacing': 'trailing', 'steps_offset': 0} 02:09:57-905356 INFO Base: pipeline=StableDiffusionXLPipeline task=TEXT_2_IMAGE batch=1/1x1 set={'guidance_scale': 4, 'generator': 'cuda:[1514168990]', 'num_inference_steps': 30, 'eta': 1.0, 'guidance_rescale': 0.7, 'denoising_end': None, 'output_type': 'latent', 'width': 1280, 'height': 768, 'parser': 'native', 'prompt': 'embeds'} 02:09:57-967248 DEBUG HiDiffusion apply: raunet=True attn=True aggressive=True:8 t1=-1 t2=-1 time=0.01 type=sdxl width=1280 height=768 Progress 3.22it/s ██████▊ 20% 6/30 00:02 00:07 Base02:10:00-353199 DEBUG Server: alive=True requests=3350 memory=0/0 status='idle' task='' timestamp=None id='task(fv8y4wjnk44ukw4)' job=0 jobs=0 total=3 step=0 steps=0 queued=0 uptime=40749 elapsed=39554.4 eta=None progress=0 Progress 2.06it/s █████████████████████████████████ 100% 30/30 00:14 00:00 Base 02:10:13-313812 DEBUG Decode: vae="default" upcast=False slicing=True tiling=False latents=torch.Size([1, 4, 96, 160]):cuda:0:torch.bfloat16 time=0.029 02:10:13-907702 INFO Save: image="outputs\text\00104-tempestByVlad_v01-Amorphous abyssal abomination with tendrils of shadow that.jpg" type=JPEG width=1280 height=768 size=83010 02:10:13-913250 INFO Processed: images=1 its=1.87 time=16.05 timers={'pipeline': 14.84, 'preview': 3.92, 'decode': 1.07, 'offload': 0.51, 'gc': 0.29, 'move': 0.1} memory={'ram': {'used': 1.13, 'total': 63.92}, 'gpu': {'used': 6.19, 'total': 12.0}, 'retries': 0, 'oom': 0} 02:10:14-213800 DEBUG GC: current={'gpu': 1.71, 'ram': 1.13, 'oom': 0} prev={'gpu': 6.19, 'ram': 1.13} load={'gpu': 14, 'ram': 2} gc={'gpu': 4.48, 'py': 592} fn=process_images:process_images_inner why=final time=0.29 02:10:14-226800 DEBUG XYZ grid process: x=5/5 y=4/4 z=1/1 total=1.00 02:10:14-230799 DEBUG XYZ grid apply setting: schedulers_sigma=lambdas 02:10:14-232801 DEBUG XYZ grid apply setting: schedulers_beta_schedule=cosine 02:10:14-236799 DEBUG Sampler: "DPM++ 3M" class=DPMSolverMultistepScheduler config={'num_train_timesteps': 1000, 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': 'squaredcos_cap_v2', 'solver_order': 3, 'prediction_type': 'epsilon', 'dynamic_thresholding_ratio': 0.995, 'sample_max_value': 1.0, 'algorithm_type': 'dpmsolver++', 'solver_type': 'midpoint', 'lower_order_final': True, 'use_lu_lambdas': True, 'flow_shift': 1.0, 'final_sigmas_type': 'zero', 'lambda_min_clipped': -inf, 'timestep_spacing': 'trailing', 'steps_offset': 0} 02:10:14-270799 INFO Base: pipeline=StableDiffusionXLPipeline task=TEXT_2_IMAGE batch=1/1x1 set={'guidance_scale': 4, 'generator': 'cuda:[1514168990]', 'num_inference_steps': 30, 'eta': 1.0, 'guidance_rescale': 0.7, 'denoising_end': None, 'output_type': 'latent', 'width': 1280, 'height': 768, 'parser': 'native', 'prompt': 'embeds'} 02:10:14-339902 DEBUG HiDiffusion apply: raunet=True attn=True aggressive=True:8 t1=-1 t2=-1 time=0.01 type=sdxl width=1280 height=768 Progress 1.99it/s ███████████████████████████████▉ 97% 29/30 00:14 00:00 Base 02:10:28-915132 ERROR XYZ grid: Failed to process image: index 31 is out of bounds for dimension 0 with size 31 02:10:28-918132 ERROR XYZ grid: IndexError ┌─────────────────────────────────────────────────────────────────────────────────────── Traceback (most recent call last) ───────────────────────────────────────────────────────────────────────────────────────┐ │ H:\Apps\sdnext-new\scripts\xyz_grid_on.py:335 in cell │ │ │ │ 334 │ │ │ try: │ │ > 335 │ │ │ │ processed = processing.process_images(pc) │ │ 336 │ │ │ except Exception as e: │ │ │ │ H:\Apps\sdnext-new\modules\processing.py:212 in process_images │ │ │ │ 211 │ │ │ with context_hypertile_vae(p), context_hypertile_unet(p): │ │ > 212 │ │ │ │ processed = process_images_inner(p) │ │ 213 │ │ │ │ H:\Apps\sdnext-new\modules\processing.py:342 in process_images_inner │ │ │ │ 341 │ │ │ │ │ from modules.processing_diffusers import process_diffusers │ │ > 342 │ │ │ │ │ samples = process_diffusers(p) │ │ 343 │ │ │ │ else: │ │ │ │ H:\Apps\sdnext-new\modules\processing_diffusers.py:449 in process_diffusers │ │ │ │ 448 │ if 'base' not in p.skip: │ │ > 449 │ │ output = process_base(p) │ │ 450 │ else: │ │ │ │ H:\Apps\sdnext-new\modules\processing_diffusers.py:101 in process_base │ │ │ │ 100 │ │ else: │ │ > 101 │ │ │ output = shared.sd_model(**base_args) │ │ 102 │ │ if isinstance(output, dict): │ │ │ │ H:\Python311\Lib\site-packages\torch\utils\_contextlib.py:116 in decorate_context │ │ │ │ 115 │ │ with ctx_factory(): │ │ > 116 │ │ │ return func(*args, **kwargs) │ │ 117 │ │ │ │ H:\Python311\Lib\site-packages\diffusers\pipelines\stable_diffusion_xl\pipeline_stable_diffusion_xl.py:1237 in __call__ │ │ │ │ 1236 │ │ │ │ latents_dtype = latents.dtype │ │ > 1237 │ │ │ │ latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0] │ │ 1238 │ │ │ │ if latents.dtype != latents_dtype: │ │ │ │ H:\Python311\Lib\site-packages\diffusers\schedulers\scheduling_dpmsolver_multistep.py:1104 in step │ │ │ │ 1103 │ │ else: │ │ > 1104 │ │ │ prev_sample = self.multistep_dpm_solver_third_order_update(self.model_outputs, sample=sample, noise=noise) │ │ 1105 │ │ │ │ H:\Python311\Lib\site-packages\diffusers\schedulers\scheduling_dpmsolver_multistep.py:949 in multistep_dpm_solver_third_order_update │ │ │ │ 948 │ │ sigma_t, sigma_s0, sigma_s1, sigma_s2 = ( │ │ > 949 │ │ │ self.sigmas[self.step_index + 1], │ │ 950 │ │ │ self.sigmas[self.step_index], │ └─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘ IndexError: index 31 is out of bounds for dimension 0 with size 31 02:10:29-604575 INFO XYZ grid complete: images=20 results=21size=(7360, 3352) time=332.99 save=0.15 02:10:29-608576 DEBUG XYZ grid: grid=1 subgrids=0 images=20 total=21 02:10:29-792424 INFO Save: image="outputs\grids\grid-00005-tempestByVlad_v01-horror_horror overall.jpg" type=JPEG width=7360 height=3352 size=4776631 02:10:30-210863 DEBUG GC: current={'gpu': 6.51, 'ram': 1.21, 'oom': 0} prev={'gpu': 7.14, 'ram': 1.21} load={'gpu': 54, 'ram': 2} gc={'gpu': 0.63, 'py': 644} fn=process_images:process_images_inner why=final time=0.26
Diffusers
Standard
Master
StableDiffusion XL
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Backend
Diffusers
UI
Standard
Branch
Master
Model
StableDiffusion XL
Acknowledgements
The text was updated successfully, but these errors were encountered: