Open xiekong opened 8 months ago
Sharing this thread.
The base layer diffusion model is a SDXL LoRA trained on the modified latent space. I managed to convert the given checkpoint to LoRA and use it with diffusers by calling pipe.load_lora_weights().
But how do you use the other four layer modules:
Its tightly integrated with sd-forge and using things like extra_concat_cond and I have no idea how to integrate them to diffusers.
i am waiting for the official integration plan
@xiankgx can you share how you used the base model for inference in diffusers?
Also curious how this could work with diffusers
give some examples,please