haofanwang/Lora-for-Diffusers
The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥
PythonMIT
Issues
- 0
- 0
size mismatch using the converted .bin file
#22 opened by XiaoyuShi97 - 12
- 0
.
#21 opened by SonuKumar145 - 0
can't open file '/content/./scripts/convert_original_stable_diffusion_to_diffusers.py': [Errno 2] No such file or directory
#20 opened by SmartAttendance - 1
lora of sdxl
#19 opened by muyuWang - 1
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]).
#18 opened by Hrushi11 - 13
- 0
Is there any chance to use your script to convert SDXL Dreambooth trained LoRA to .safetensors?
#17 opened by StanislawKarnacky - 3
- 0
LyCoris model
#16 opened by nanjingzhouyu - 3
It seems that the safetensors to bin converter is not working with diffuser 0.15.0.
#13 opened by sanbuphy - 7
- 0
- 0
python ./scripts/convert_original_stable_diffusion_to_diffusers.py --checkpoint_path xxx.safetensors --dump_path save_dir --from_safetensors
#12 opened by Sagnior - 1
TypeError: to() received an invalid combination of arguments - got (torch.dtype, NoneType), but expected one of:
#11 opened by nwangfw - 2
"Suitable Lora" Conversion
#10 opened by NicholasKao1029 - 3
- 1
to_out to to_out_0
#4 opened by camenduru - 1
prompt example being truncated
#6 opened by khimaros - 1