My trained lora is here. It only finetunes the unet backbone. When I use flux_pipe.load_lora_weights('./lora/', weight_name='dog_and_cat_special_key.safetensors'), it doesn't take effect. I debug the code, inside the load_lora_weights me...
I got same issue with diffusers trainer too ( advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py ) I retrained using the training script provided by diffusers, not sd-script, using dora. this is the command for train model with dora ...
Traceback (most recent call last): File "C:\Users\45239\AppData\Roaming\Blender Foundation\Blender\3.5\scripts\addons\Generative_AI-main\__init__.py", line 2798, in execute pipe.load_lora_weights( File "C:\Users\45239\AppData\Roaming\Python\Python310\site-packages\diffusers\loaders.py",...
Users are already familiar with weight_name and how it's to be used through load_lora_weights() (which is quite popular at this point IMO). I think we must force users to pass weight_name. Too much intelligent guessing here would lead to ugly consequences in the code and I am not ...
On a LoRA model for arandom pet, the current revision of diffusers produces a related although not super precise image: And with this PR, it now looks like the original "pet" that the LoRA trained with: Sorry, something went wrong. ...
TinyDiffusionCPU Stable Diffusion for CPU only, CLI only, usesTCD,LCM, or neither, your choice UsesDiffuserswith Python Dependencies python 3.10 or greater pip modules automatically installed withstartscript curl used for downloading TCD/LCM safetensors withstartscript ...
the LOG is 👍 Prompt executed in 0.56 seconds got prompt [{'path': 'D:\PINOKIO2\ComfyUI_windows_portable\ComfyUI\models\CogVideo\loras\orbit_up_lora_weights.safetensors', 'strength': 1.0, 'name': 'orbit_up_lora_weights', 'fuse_lora': True}] ...
CogVideoX_dev .github finetune inference resources sat tools caption llm_flux_cogvideox parallel_inference replicate venhancer convert_weight_sat2hf.py export_sat_lora_weight.py load_cogvideox_lora.py .gitignore LICENSE MODEL_LICENSE README.md ...
from .loftq_utils import replace_lora_weights_loftq File "H:\sd\ComfyUI_windows_portable\python_embeded\Lib\site-packages\peft\utils\loftq_utils.py", line 35, in import bitsandbytes as bnb File "H:\sd\ComfyUI_windows_portable\python_embeded\Lib\site-packages\bitsandbytes_init.py", line...
['ultralytics.nn.tasks.DetectionModel']) # Create a custom loader function def custom_load(*args, **kwargs): # Force weights_only to False if not explicitly set if 'weights_only' not in kwargs: kwargs['weights_only'] = False return orig(*args, **kwargs) # Replace torch.load ...