Issue with inpainting #62
Description
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!