Comments (4)
I can train one if you need it. Is there a reason for this? Doest SD1.5 has some advantage over SD2.0?
from editanything.
Not really in terms of technical advantage - but when looking through Civit.ai most of the models on that platform are on SD 1.5
from editanything.
okay, then I will train one very soon.
from editanything.
hi, I have trained new sam condition models based on sd15 and sd21. These models are trained with more images and longer iterations. https://github.com/sail-sg/EditAnything#model-zoo
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Related Issues (20)
- Recreating Haircut Editing HOT 1
- Reference mode for the cross-image drag and merge functionality HOT 2
- where is the file sam2edit.py,seems not exist HOT 8
- Seems a bug in editany_lora.py HOT 2
- Dependencies in `requirements.txt` have module conflicts. HOT 1
- How to use drag and merge
- Where are the "./models/groundingdino_swint_ogc.pth" "./GroundingDINO_SwinT_OGC.py" ? HOT 4
- sam2image.py can run on the gui,but when i click run,the html is always circling, and there is no log in the script HOT 1
- Filenotfound error HOT 1
- AttributeError: module 'keras.backend' has no attribute 'is_tensor' HOT 2
- serializer = serializing.COMPONENT_MAPPING[type]() KeyError: 'dataset' HOT 1
- 我部署时怎么提示app.py和editany_lora等文件里好多代码都是错的 HOT 1
- Colors for SAM mask based ControlNet during training
- How to install this project in a1111 sd webui?
- App.py run error
- fix demo HOT 2
- why should generate the mask again? HOT 1
- Unable to reproduce the dog's head example when using the same example image
- Replace pytorch 2.1+cu12.1 is ok? I found now version is 1.13, is too low
- Are we going to support SDXL-Turbo? HOT 2
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