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Will upscale the image by the selected scale factor; use width and height sliders to set tile size
', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, None, None, False, None, None, False, None, None, False, 50) {}
Traceback (most recent call last):
File "D:\stable-diffusion-webui-1.10.0\modules\call_queue.py", line 74, in f
res = list(func(*args, **kwargs))
File "D:\stable-diffusion-webui-1.10.0\modules\call_queue.py", line 53, in f
res = func(*args, **kwargs)
File "D:\stable-diffusion-webui-1.10.0\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "D:\stable-diffusion-webui-1.10.0\modules\img2img.py", line 235, in img2img
processed = process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir)
File "D:\stable-diffusion-webui-1.10.0\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 28, in img2img_process_batch_hijack
return animatediff_i2i_batch(p, *args, **kwargs)
File "D:\stable-diffusion-webui-1.10.0\extensions\sd-webui-animatediff\scripts\animatediff_i2ibatch.py", line 304, in animatediff_i2i_batch
proc = process_images(p)
File "D:\stable-diffusion-webui-1.10.0\modules\processing.py", line 847, in process_images
res = process_images_inner(p)
File "D:\stable-diffusion-webui-1.10.0\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 48, in processing_process_images_hijack
return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
File "D:\stable-diffusion-webui-1.10.0\modules\processing.py", line 921, in process_images_inner
p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
File "D:\stable-diffusion-webui-1.10.0\extensions\sd-webui-animatediff\scripts\animatediff_i2ibatch.py", line 134, in animatediff_i2i_init
raise RuntimeError(f"bad number of images passed: {len(imgs)}; expecting {self.batch_size} or less")
RuntimeError: bad number of images passed: 240; expecting 1 or less
Is there an existing issue for this?
Have you read FAQ on README?
What happened?
Hello i tried to use animatediff to inpaint a batch of image consists of 240 frames, but it gives me this result:
*** Arguments: ('task(9dqlps4a81qkvvr)', <gradio.routes.Request object at 0x000001EF1175FBE0>, 5, '', '', ['Bruh], None, None, None, None, None, None, None, 4, 0, 1, 1, 1, 7, 1.5, 1, 0.0, 512, 512, 1, 1, 0, 32, 0, 'C:\Users\PC\Documents\Adobe\Premiere Pro\24.0\Previous Output\Batch', 'C:\Users\PC\Documents\Testing Temporalnet\New Output', 'C:\Users\PC\Documents\Adobe\Premiere Pro\24.0\Previous Output\Mask', [], False, [], '', 'from dir', None, 0, False, 1, 0.5, 4, 0, 0.5, 2, 25, 'Euler a', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, <scripts.animatediff_ui.AnimateDiffProcess object at 0x000001EF11886950>, ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='C:\Users\PC\Documents\Adobe\Premiere Pro\24.0\Previous Output\Batch', output_dir='C:\Users\PC\Documents\Testing Temporalnet\New Output', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=True, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='C:\Users\PC\Documents\Adobe\Premiere Pro\24.0\Previous Output\Batch', output_dir='C:\Users\PC\Documents\Testing Temporalnet\New Output', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=True, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='C:\Users\PC\Documents\Adobe\Premiere Pro\24.0\Previous Output\Batch', output_dir='C:\Users\PC\Documents\Testing Temporalnet\New Output', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=True, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, union_control_type=<ControlNetUnionControlType.UNKNOWN: 'Unknown'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[], batch_keyframe_idx=None), '*
CFG Scale
should be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', 'Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8
', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, 'start', '', 'Will upscale the image by the selected scale factor; use width and height sliders to set tile size
', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, None, None, False, None, None, False, None, None, False, 50) {}Traceback (most recent call last):
File "D:\stable-diffusion-webui-1.10.0\modules\call_queue.py", line 74, in f
res = list(func(*args, **kwargs))
File "D:\stable-diffusion-webui-1.10.0\modules\call_queue.py", line 53, in f
res = func(*args, **kwargs)
File "D:\stable-diffusion-webui-1.10.0\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "D:\stable-diffusion-webui-1.10.0\modules\img2img.py", line 235, in img2img
processed = process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir)
File "D:\stable-diffusion-webui-1.10.0\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 28, in img2img_process_batch_hijack
return animatediff_i2i_batch(p, *args, **kwargs)
File "D:\stable-diffusion-webui-1.10.0\extensions\sd-webui-animatediff\scripts\animatediff_i2ibatch.py", line 304, in animatediff_i2i_batch
proc = process_images(p)
File "D:\stable-diffusion-webui-1.10.0\modules\processing.py", line 847, in process_images
res = process_images_inner(p)
File "D:\stable-diffusion-webui-1.10.0\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 48, in processing_process_images_hijack
return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
File "D:\stable-diffusion-webui-1.10.0\modules\processing.py", line 921, in process_images_inner
p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
File "D:\stable-diffusion-webui-1.10.0\extensions\sd-webui-animatediff\scripts\animatediff_i2ibatch.py", line 134, in animatediff_i2i_init
raise RuntimeError(f"bad number of images passed: {len(imgs)}; expecting {self.batch_size} or less")
RuntimeError: bad number of images passed: 240; expecting 1 or less
Steps to reproduce the problem
What should have happened?
Generate consistent image
Commit where the problem happens
webui: 1.10
extension: a88e889
What browsers do you use to access the UI ?
No response
Command Line Arguments
Console logs
Additional information
No response
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