Instructions to use XLabs-AI/flux-ip-adapter-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-ip-adapter-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-ip-adapter-v2", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
ERROR: output with shape doesn't match the broadcast shape
#3
by Freeza - opened
I'm using the example workflow here: https://huggingface.co/XLabs-AI/flux-ip-adapter-v2/tree/main
and I get this error despite not changing anything... any idea why this is?
I meet same problem, have you saved it?
Hello, can you provide more details please?
@VladimirM388 I literally ran the workflow provided here for ipadapter v2, no missing nodes, no nothing. just this error on XlabsSampler.
same for me, if anyone know how to fix it will be very thankful
This comment has been hidden
I think you might got the wrong CLIP model.

