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Thank you for amazing upscaler.
Sometimes I am getting this error.
Running prediction [Tiled Diffusion] upscaling image with 4x-UltraSharp... [Tiled Diffusion] ControlNet found, support is enabled. 2024-03-31 06:48:41,693 - ControlNet - �[0;32mINFO�[0m - unit_separate = False, style_align = False 2024-03-31 06:48:41,694 - ControlNet - �[0;32mINFO�[0m - Loading model from cache: control_v11f1e_sd15_tile 2024-03-31 06:48:41,717 - ControlNet - �[0;32mINFO�[0m - Using preprocessor: tile_resample 2024-03-31 06:48:41,717 - ControlNet - �[0;32mINFO�[0m - preprocessor resolution = 2400 2024-03-31 06:48:41,860 - ControlNet - �[0;32mINFO�[0m - ControlNet Hooked - Time = 0.17113852500915527 MultiDiffusion hooked into 'DPM++ 3M SDE Karras' sampler, Tile size: 144x112, Tile count: 12, Batch size: 6, Tile batches: 2 (ext: ContrlNet) [Tiled VAE]: input_size: torch.Size([1, 3, 2400, 3200]), tile_size: 3072, padding: 32 [Tiled VAE]: split to 1x2 = 2 tiles. Optimal tile size 1568x2336, original tile size 3072x3072 [Tiled VAE]: Fast mode enabled, estimating group norm parameters on 3072 x 2304 image MultiDiffusion Sampling: 0%| | 0/20 [00:00<?, ?it/s] [Tiled VAE]: Executing Encoder Task Queue: 0%| | 0/182 [00:00<?, ?it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 10%|█ | 19/182 [00:00<00:03, 46.32it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 21%|██ | 38/182 [00:00<00:03, 45.68it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 24%|██▎ | 43/182 [00:01<00:03, 35.46it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 26%|██▋ | 48/182 [00:01<00:03, 37.12it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 29%|██▊ | 52/182 [00:01<00:06, 20.83it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 30%|███ | 55/182 [00:02<00:07, 16.42it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 32%|███▏ | 58/182 [00:02<00:08, 14.34it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 35%|███▌ | 64/182 [00:02<00:06, 18.53it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 38%|███▊ | 70/182 [00:02<00:05, 21.99it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 40%|████ | 73/182 [00:02<00:05, 21.19it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 42%|████▏ | 76/182 [00:03<00:04, 21.22it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 46%|████▌ | 83/182 [00:03<00:03, 26.72it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 47%|████▋ | 86/182 [00:03<00:03, 24.86it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 49%|████▉ | 89/182 [00:03<00:04, 21.93it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 51%|█████ | 92/182 [00:03<00:04, 21.15it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 55%|█████▌ | 101/182 [00:03<00:02, 33.76it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 64%|██████▍ | 117/182 [00:03<00:01, 60.74it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 82%|████████▏ | 149/182 [00:04<00:00, 121.39it/s]�[A [Tiled VAE]: Executing Encoder Task Queue: 90%|█████████ | 164/182 [00:04<00:00, 94.79it/s] �[A [Tiled VAE]: Executing Encoder Task Queue: 100%|██████████| 182/182 [00:04<00:00, 41.48it/s] [Tiled VAE]: Done in 5.098s, max VRAM alloc 17733.351 MB 0%| | 0/1 [00:00<?, ?it/s]�[A MultiDiffusion Sampling: 5%|▌ | 1/20 [00:06<02:06, 6.66s/it] 0%| | 0/1 [00:04<?, ?it/s] Total progress: 0%| | 0/1 [00:00<?, ?it/s]�[A Total progress: 100%|██████████| 1/1 [00:00<00:00, 1.82it/s]�[A Total progress: 100%|██████████| 1/1 [00:00<00:00, 1.82it/s] Traceback (most recent call last): File "/root/.pyenv/versions/3.10.4/lib/python3.10/site-packages/cog/server/worker.py", line 217, in _predict result = predict(**payload) File "/src/predict.py", line 234, in predict resp = self.api.img2imgapi(req) File "/src/modules/api/api.py", line 445, in img2imgapi processed = process_images(p) File "/src/modules/processing.py", line 734, in process_images res = process_images_inner(p) File "/src/extensions/sd-webui-controlnet/scripts/batch_hijack.py", line 41, in processing_process_images_hijack return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs) File "/src/modules/processing.py", line 869, in process_images_inner samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts) File "/src/extensions/sd-webui-controlnet/scripts/hook.py", line 438, in process_sample return process.sample_before_CN_hack(*args, **kwargs) File "/src/modules/processing.py", line 1528, in sample samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning) File "/src/modules/sd_samplers_kdiffusion.py", line 188, in sample_img2img samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs)) File "/src/modules/sd_samplers_common.py", line 261, in launch_sampling return func() File "/src/modules/sd_samplers_kdiffusion.py", line 188, in <lambda> samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs)) File "/root/.pyenv/versions/3.10.4/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/src/repositories/k-diffusion/k_diffusion/sampling.py", line 701, in sample_dpmpp_3m_sde h_1, h_2 = h, h_1 UnboundLocalError: local variable 'h' referenced before assignment
The text was updated successfully, but these errors were encountered:
Are you using the official replicate model or something self hosted? Did you tried another input image?
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Thank you for amazing upscaler.
Sometimes I am getting this error.
The text was updated successfully, but these errors were encountered: