T2I Multiadapter example not working #4427
Description
Describe the bug
I tried running the example provided in documentation here for multi adapters, I'm getting this error:
AttributeError: 'MultiAdapter' object has no attribute 'total_downscale_factor'
Reproduction
import torch
from PIL import Image
from diffusers.utils import load_image
from diffusers import StableDiffusionAdapterPipeline, MultiAdapter
cond_keypose = load_image(
"https://huggingface.co/datasets/diffusers/docs-images/resolve/main/t2i-adapter/keypose_sample_input.png"
)
cond_depth = load_image(
"https://huggingface.co/datasets/diffusers/docs-images/resolve/main/t2i-adapter/depth_sample_input.png"
)
cond = [[cond_keypose, cond_depth]]
prompt = ["A man walking in an office room with a nice view"]
adapters = MultiAdapter(
[
T2IAdapter.from_pretrained("TencentARC/t2iadapter_keypose_sd14v1"),
T2IAdapter.from_pretrained("TencentARC/t2iadapter_depth_sd14v1"),
]
)
adapters = adapters.to(torch.float16)
pipe = StableDiffusionAdapterPipeline.from_pretrained(
"CompVis/stable-diffusion-v1-4",
torch_dtype=torch.float16,
adapter=adapters,
)
images = pipe(prompt, cond, adapter_conditioning_scale=[0.8, 0.8])
Logs
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[11], line 18
10 adapters = adapters.to(torch.float16)
12 pipe = StableDiffusionAdapterPipeline.from_pretrained(
13 "CompVis/stable-diffusion-v1-4",
14 torch_dtype=torch.float16,
15 adapter=adapters,
16 )
---> 18 images = pipe(prompt, cond, adapter_conditioning_scale=[0.8, 0.8])
File ~/anaconda3/envs/diff-t2i/lib/python3.10/site-packages/torch/utils/_contextlib.py:115, in context_decorator..decorate_context(*args, **kwargs)
112 @functools.wraps(func)
113 def decorate_context(*args, **kwargs):
114 with ctx_factory():
--> 115 return func(*args, **kwargs)
File ~/anaconda3/envs/diff-t2i/lib/python3.10/site-packages/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_adapter.py:644, in StableDiffusionAdapterPipeline.__call__(self, prompt, image, height, width, num_inference_steps, guidance_scale, negative_prompt, num_images_per_prompt, eta, generator, latents, prompt_embeds, negative_prompt_embeds, output_type, return_dict, callback, callback_steps, cross_attention_kwargs, adapter_conditioning_scale)
566 r"""
567 Function invoked when calling the pipeline for generation.
568
(...)
641 "not-safe-for-work" (nsfw) content, according to the `safety_checker`.
642 """
643 # 0. Default height and width to unet
--> 644 height, width = self._default_height_width(height, width, image)
645 device = self._execution_device
647 # 1. Check inputs. Raise error if not correct
File ~/anaconda3/envs/diff-t2i/lib/python3.10/site-packages/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_adapter.py:529, in StableDiffusionAdapterPipeline._default_height_width(self, height, width, image)
526 height = image.shape[-2]
528 # round down to nearest multiple of `self.adapter.total_downscale_factor`
--> 529 height = (height // self.adapter.total_downscale_factor) * self.adapter.total_downscale_factor
531 if width is None:
532 if isinstance(image, PIL.Image.Image):
File ~/anaconda3/envs/diff-t2i/lib/python3.10/site-packages/diffusers/models/modeling_utils.py:186, in ModelMixin.__getattr__(self, name)
183 return self._internal_dict[name]
185 # call PyTorch's https://pytorch.org/docs/stable/_modules/torch/nn/modules/module.html#Module
--> 186 return super().__getattr__(name)
File ~/anaconda3/envs/diff-t2i/lib/python3.10/site-packages/torch/nn/modules/module.py:1614, in Module.__getattr__(self, name)
1612 if name in modules:
1613 return modules[name]
-> 1614 raise AttributeError("'{}' object has no attribute '{}'".format(
1615 type(self).__name__, name))
AttributeError: 'MultiAdapter' object has no attribute 'total_downscale_factor'```System Info
Python 3.10.12
diffusers==0.19.3