-
To do this, you need to reload the model FLUX Dev. Then the new IP Adapter weights will take effect.
Of course, doing this is not very convenient, but work )
-
-
Hi @cubiq,
thanks for your work.
Are you planning to support flux models? I'm particularly interested in the "negative IP adapter" feature.
Best,
Clem
-
-
I have completed the modification of the IP-Adapter-FaceID-Plus training code, but I would like to train an IP-Adapter-FaceID-PlusV2. Note that V2 has an additional step 'out=x+scale * out' compared…
-
Error while loading adapter
It seems that i used wrong ckpt, but I've try
`
'./IP-Adapter/sdxl_models/ip-adapter_sdxl.bin'
'./IP-Adapter/sdxl_models/ip-adapter_sdxl.safetensors'
'./IP-Adapter/…
-
Freshly released: [https://huggingface.co/XLabs-AI/flux-ip-adapter](https://huggingface.co/XLabs-AI/flux-ip-adapter)
-
Is it possible to load IP-Adapter for distilled SD v1 or v2 based models such as nota-ai/bk-sdm-tiny or nota-ai/bk-sdm-v2-tiny?
When I tried to load ip adapter using bk-sdm-tiny
```python
pipe.…
-
My code:
`pipe.load_ip_adapter("h94/IP-Adapter-FaceID", subfolder="", weight_name="ip-adapter-faceid-plusv2_sdxl.bin")`
It gives error:
ip-adapter-faceid-plusv2_sdxl.bin: 100%|███████████████████…
-
Does he support ControlNet and IP Adapter