Comments (3)
Me too, Have you solved it yet?
from lora-for-diffusers.
Me too, Have you solved it yet?
I just down the version
from lora-for-diffusers.
Me too, Have you solved it yet?
I just down the version
down the version can avoid the error, but I get bad images or the same effect as without the lora version
from lora-for-diffusers.
Related Issues (20)
- "Suitable Lora" Conversion HOT 2
- TypeError: to() received an invalid combination of arguments - got (torch.dtype, NoneType), but expected one of: HOT 1
- python ./scripts/convert_original_stable_diffusion_to_diffusers.py --checkpoint_path xxx.safetensors --dump_path save_dir --from_safetensors
- convert_lora_safetensor_to_diffusers.py seems like not working.
- LyCoris model
- Is there any chance to use your script to convert SDXL Dreambooth trained LoRA to .safetensors?
- size mismatch for conv_in.weight: copying a param with shape torch.Size([320, 9, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 4, 3, 3]). HOT 1
- lora of sdxl HOT 1
- Is there a way to adjust the merging ratio? HOT 7
- can't open file '/content/./scripts/convert_original_stable_diffusion_to_diffusers.py': [Errno 2] No such file or directory
- .
- size mismatch using the converted .bin file
- Error
- Exception: Error while deserializing header: HeaderTooLarge HOT 1
- to_out to to_out_0 HOT 1
- prompt example being truncated HOT 1
- Whenever I try to load the model, it returns an error HOT 3
- Error when running convert_original_stable_diffusion_to_diffusers HOT 3
- SafetensorError: Error while deserializing header: HeaderTooLarge HOT 12
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