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[Issue]: dev - adetailer + hypertile: introduces an error sometimes, which then sticks for future renders
Issue Description
When using adetailer (and hypertile enabled), at some point SDNext throws an hypertile error (but image rendering continues). From then on, even with adetailer toggled OFF again, the error persists with each render until a full restart has been done.
Version Platform Description
WSL-2, Win11
Relevant log output
14:02:46-468674 DEBUG Control process unit: i=1 process=None
14:02:46-470713 DEBUG Pipeline class change: original=StableDiffusionInpaintPipeline target=StableDiffusionPipeline device=cuda:0 fn=control_run
14:02:46-473000 INFO Applying free-u: b1=1.2 b2=1.4 s1=0.9 s2=0.2
14:02:46-473529 INFO Applying hypertile: unet=256
14:02:46-476844 INFO LoRA apply: ['watercolorV1'] patch=0.00 load=0.00
14:02:46-483673 INFO Base: class=StableDiffusionPipeline
14:02:46-486105 TRACE Prompt encode: cached
14:02:46-486665 DEBUG Diffuser pipeline: StableDiffusionPipeline task=DiffusersTaskType.TEXT_2_IMAGE batch=1/1x1 set={'prompt_embeds': torch.Size([1, 154,
768]), 'negative_prompt_embeds': torch.Size([1, 154, 768]), 'guidance_scale': 3.5, 'num_inference_steps': 30, 'eta': 1.0,
'guidance_rescale': 0.7, 'output_type': 'latent', 'width': 512, 'height': 768, 'parser': 'Full parser'}
14:02:46-492153 DEBUG Sampler: sampler="Euler a" config={'num_train_timesteps': 1000, 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule':
'scaled_linear', 'prediction_type': 'epsilon', 'rescale_betas_zero_snr': False, 'timestep_spacing': 'leading'}
14:02:46-503107 DEBUG HiDiffusion apply: raunet=True attn=True aggressive=True:8 t1=0.2 t2=0.1 time=0.00 type=sd width=512 height=768
Progress 14.97it/s █████████████████████████████████ 100% 30/30 00:02 00:00 Base
14:02:48-529108 DEBUG Control hires: upscaler="ESRGAN 4x Remacri" upscale=2 size=1024x1536
14:02:48-530109 INFO Upscale: upscaler="ESRGAN 4x Remacri" resize=0x0 upscale=1024x1536
14:02:49-094528 DEBUG Upscaler cached: type=ESRGAN model=/home/tillerz/models/ESRGAN/ESRGAN-Remacri-4x.pth
Upscaling ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00 0:00:01
14:02:50-202806 DEBUG Pipeline class change: original=StableDiffusionPipeline target=StableDiffusionImg2ImgPipeline device=cuda:0 fn=process_diffusers
14:02:50-203694 INFO HiRes: class=StableDiffusionImg2ImgPipeline sampler="Same as primary"
14:02:50-212851 TRACE Prompt encode: cached
14:02:50-213450 DEBUG Diffuser pipeline: StableDiffusionImg2ImgPipeline task=DiffusersTaskType.IMAGE_2_IMAGE batch=1/1x1 set={'prompt_embeds': torch.Size([1,
154, 768]), 'negative_prompt_embeds': torch.Size([1, 154, 768]), 'guidance_scale': 3, 'num_inference_steps': 41, 'eta': 1.0,
'output_type': 'latent', 'image': [<PIL.Image.Image image mode=RGB size=1024x1536 at 0x7F70073C1CF0>], 'strength': 0.5, 'parser': 'Full
parser'}
Progress ?it/s 0% 0/20 00:00 ? Hires14:02:50-933923 ERROR Hypertile error: width=512 height=768 Error while processing rearrange-reduction pattern "b (nh h nw w) c -> (b nh nw) (h w) c".
Input tensor shape: torch.Size([12, 4096, 320]). Additional info: {'h': 26, 'w': 26, 'nh': 3, 'nw': 2}.
Shape mismatch, 4096 != 4056
Progress 5.99it/s ████████████████████████████████ 100% 20/20 00:03 00:00 Hires
0: 640x448 (no detections), 622.9ms
Speed: 1.9ms preprocess, 622.9ms inference, 0.4ms postprocess per image at shape (1, 3, 640, 448)
[-] ADetailer: nothing detected on image 1 with 1st settings.
14:02:58-866733 INFO Processed: images=1 time=12.39 its=2.42 memory={'ram': {'used': 4.59, 'total': 31.35}, 'gpu': {'used': 3.99, 'total': 23.99}, 'retries':
0, 'oom': 0}
14:02:59-996518 DEBUG Save temp: image="/home/tillerz/images_temp/tmpeuihswvs.png" resolution=1024x1536 size=2257125
14:03:00-096707 INFO Control: pipeline units=0 process=0 time=12.41 init=0.00 proc=0.00 ctrl=12.41 outputs=1
Backend
Diffusers
Branch
Dev
Model
SD 1.5
Acknowledgements
- [X] I have read the above and searched for existing issues
- [X] I confirm that this is classified correctly and its not an extension issue