Fabio Rigano

hi, 1. please refer to documentation, here you have the [link](https://github.com/huggingface/diffusers/blob/main/docs/source/en/using-diffusers/ip_adapter.md#face-model) to the face models. can you try the following code? ```py clip_embeds = pipeline.prepare_ip_adapter_image_embeds( [ip_adapter_images], None, torch.device("cuda"), num_images, True)[0]...

thank you for spotting the error, it seems there is another one, I will fix documentation in a future PR I forgot to upload the correct preprocessing for Face ID...

hi @katarzynasornat could you try by resizing depth image? SDXL output size is (1024, 1024) by default ```py depth_map = depth_map.resize((1024, 1024)) ```

hi @sayakpaul thank you I used YiYi's code to test: ```py from diffusers import DiffusionPipeline, AnimateDiffPipeline, MotionAdapter, DDIMScheduler from diffusers.utils import export_to_gif import torch from diffusers.utils import load_image base_repo =...

exactly, the community pipeline implementation has many differences and currently can be only used alone attention processors in ip-adapter face id only support the single-ip-adapter (face id) inference in addition,...

> I'm getting the error > > ``` > table_diffusion_xl.py", line 497, in encode_image > AttributeError: 'NoneType' object has no attribute 'parameters' > ``` > > when I try to...

@jfischoff you can use it now, I also updated the example code

@yiyixuxu I have to add some checks on the inputs, but I would appreciate your feedback. thanks :)

Since both Face ID adapter and Face ID XL don't use an image encoder, I tested the multi-adapter feature by separately extracting and then concatenating the image embeddings of Face...

> @fabiorigano > > > I tested the multi-adapter feature by separately extracting and then concatenating the image embeddings of Face ID XL and another IP Adapter, Plus Face SDXL...