Comments (2)
ExponentialML
commented on May 24, 2024
It seems like the models finetuned for Diffusers are referring to the latest beta version and not the latest official release of Diffusers, making the models error out when trying to load them with the official version of Diffusers. Could it be change to official releases referred to instead?
Yes, this will be one of the major things to be done. It might involve a bit more testing as the early release (the one this branch is based on) will be a bit different from the official releases.
from text-to-video-finetuning.
ExponentialML
commented on May 24, 2024
Should be solved via this commit: 89221af .
from text-to-video-finetuning.
Related Issues (20)
- webui Lora Might be causing errors in checkpoint models. HOT 3
- How to train with folder video HOT 1
- Which paper? HOT 1
- RuntimeError: cannot reshape tensor of 0 elements into shape [0, -1, 1, 512] because the unspecified dimension size -1 can be any value and is ambiguous HOT 3
- Does this code support native finetune for damo text to video model? HOT 2
- AttributeError: 'Tensor' object has no attribute 'config' HOT 5
- How can I run the fine-tuning on a GPU with <= 16GB of VRAM? HOT 3
- I have some doubts about the framework HOT 4
- A typo
- TypeError: Linear.forward() got an unexpected keyword argument 'scale' HOT 6
- wrong norm method HOT 1
- issues on train.py HOT 1
- [inference] latents_window index error HOT 1
- Two forward passes in finetune_unet HOT 1
- Lora on ResnetBlock2D in modelscope model HOT 1
- Can the videocomposer model be adapted to this training framework?
- Normal finetuning instead of LoRA
- ControlNet
- init_video problem
- finetune train error of "UnboundLocalError: local variable 'use_offset_noise' referenced before assignment" HOT 2
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from text-to-video-finetuning.