You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
File ~/miniconda3/envs/df/lib/python3.8/site-packages/skimage/transform/_warps.py:154, in resize(image, output_shape, order, mode, cval, clip, preserve_range, anti_aliasing, anti_aliasing_sigma)
149 image = image.astype(np.float32)
151 if anti_aliasing is None:
152 anti_aliasing = (
153 not input_type == bool and
--> 154 not (np.issubdtype(input_type, np.integer) and order == 0) and
155 any(x < y for x, y in zip(output_shape, input_shape)))
157 if input_type == bool and anti_aliasing:
158 raise ValueError("anti_aliasing must be False for boolean images")
File ~/miniconda3/envs/df/lib/python3.8/site-packages/numpy/core/numerictypes.py:416, in issubdtype(arg1, arg2)
358 r"""
359 Returns True if first argument is a typecode lower/equal in type hierarchy.
360
(...)
413
414 """
415 if not issubclass_(arg1, generic):
--> 416 arg1 = dtype(arg1).type
417 if not issubclass_(arg2, generic):
418 arg2 = dtype(arg2).type
TypeError: Cannot interpret 'torch.float32' as a data type
`
libs:
I assume something wrong with scikit-image, not sure what
Please, assist.
Thanks!
The text was updated successfully, but these errors were encountered:
Hi!
I;ve tried to launch the inpainting example from the internal notebook and got error.
`
----> 1 result = inpainting(
2 t5=t5, if_I=if_I,
3 if_II=if_II,
4 if_III=if_III,
5 support_pil_img=raw_pil_image.resize((128, 128), resample=Image.BICUBIC),
6 inpainting_mask=inpainting_mask,
7 prompt=[
8 'blue sunglasses',
9 ],
10 seed=42,
11 if_I_kwargs={
12 "guidance_scale": 7.0,
13 "sample_timestep_respacing": "10,10,10,10,10,0,0,0,0,0",
14 'support_noise_less_qsample_steps': 0,
15 },
16 if_II_kwargs={
17 "guidance_scale": 4.0,
18 'aug_level': 0.0,
19 "sample_timestep_respacing": '100',
20 },
21 )
22 if_I.show(result['I'], 2, 3)
23 if_I.show(result['II'], 2, 6)
File ~/miniconda3/envs/df/lib/python3.8/site-packages/deepfloyd_if/pipelines/inpainting.py:61, in inpainting(t5, if_I, if_II, if_III, support_pil_img, prompt, inpainting_mask, negative_prompt, seed, if_I_kwargs, if_II_kwargs, if_III_kwargs, progress, return_tensors, disable_watermark)
57 if_I_kwargs['negative_t5_embs'] = negative_t5_embs
59 if_I_kwargs['support_noise'] = low_res
---> 61 inpainting_mask_I = img_as_bool(resize(inpainting_mask[0].cpu(), (3, image_h, image_w)))
62 inpainting_mask_I = torch.from_numpy(inpainting_mask_I).unsqueeze(0).to(if_I.device)
64 if_I_kwargs['inpainting_mask'] = inpainting_mask_I
File ~/miniconda3/envs/df/lib/python3.8/site-packages/skimage/transform/_warps.py:154, in resize(image, output_shape, order, mode, cval, clip, preserve_range, anti_aliasing, anti_aliasing_sigma)
149 image = image.astype(np.float32)
151 if anti_aliasing is None:
152 anti_aliasing = (
153 not input_type == bool and
--> 154 not (np.issubdtype(input_type, np.integer) and order == 0) and
155 any(x < y for x, y in zip(output_shape, input_shape)))
157 if input_type == bool and anti_aliasing:
158 raise ValueError("anti_aliasing must be False for boolean images")
File ~/miniconda3/envs/df/lib/python3.8/site-packages/numpy/core/numerictypes.py:416, in issubdtype(arg1, arg2)
358 r"""
359 Returns True if first argument is a typecode lower/equal in type hierarchy.
360
(...)
413
414 """
415 if not issubclass_(arg1, generic):
--> 416 arg1 = dtype(arg1).type
417 if not issubclass_(arg2, generic):
418 arg2 = dtype(arg2).type
TypeError: Cannot interpret 'torch.float32' as a data type
`
libs:
I assume something wrong with scikit-image, not sure what
Please, assist.
Thanks!
The text was updated successfully, but these errors were encountered: