Error in loading lora: "Invalid LoRA checkpoint"

[stjq12]

I try to load a lora model by official method "load_lora_weights", while raise the error "ValueError: Invalid LoRA checkpoint."

from diffusers import DiffusionPipeline
import torch
import sys

local = sys.path[0]

pipe = DiffusionPipeline.from_pretrained(local, torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
pipe.load_lora_weights(".", weight_name = 'white_v10.safetensors')
pipe.to("cuda")

prompt = "xxx"

images = pipe(prompt=prompt).images[0]

err raise
ValueError: Invalid LoRA checkpoint.

Does anyone have a solution please?

[tolgacangoz]

Could you try with LoRA's absolute path?

[stjq12]

Yeah I have tried with the absolute path in weight_name but still the same. I think the pipeline have already get the right path.

[tolgacangoz]

Could you make absolute the left one, keep weight_name='white_v10.safetensors'?

[stjq12]

I try but it raise the same error..
pipe.load_lora_weights(local + "\white_v10.safetensors", weight_name = local + 'white_v10.safetensors')

[asomoza]

we won't be able to help if you don't provide the LoRA checkpoint or from where to download it.

[tolgacangoz]

Isn't it a full model, i.e., SDXL pipeline?

[stjq12]

Yes. sdxl-base-1.0 is the base model

[asomoza]

yep, that's not a LoRA, it's a full SDXL checkpoint.

[asomoza]

you don't load those as loras, you can load it with pipe.from_single_file

[stjq12]

Thanks bro!! I get it

[stjq12]

But I got another error. I use pipe = StableDiffusionPipeline.from_single_file("white_v10.safetensors") and the error raise with StableDiffusionPipeline.__init__() got an unexpected keyword argument 'tokenizer_2'. It this because the model is not suitable for the StableDiffusionPipeline?

[tolgacangoz]

pipe = StableDiffusionXLPipeline.from_single_file("white_v10.safetensors", torch_dtype=torch.float16).to("cuda")

[stjq12]

I Got it. I should use StableDiffusionXLPipeline.