Comments (1)
You seem to have a wrong numpy version. This does not happen wif everything is installed exactly as described in the readme.md. I am not sure about how Colab handles things.
Regarding the vram: this example code does not use additional performance tricks, so it requires the full model to be loaded and processed on the gpu at all times. So you might need more than 16gb vram to run the SDXL model.
cheers
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Related Issues (20)
- why is your controlnet-xs smaller than original controlnet? HOT 4
- Cannnot use sd21 model
- how to create config to train this model HOT 2
- I would like to ask if this solution has been compared with ControlNet-lite?
- About model size and human pose HOT 2
- Dependencies require different python version
- About ControlNet harmless HOT 2
- TwoStreamControlNet: control_scale is always set to 1.0 HOT 2
- Multiple Controlnets
- ControlNet-XS is a new LoRA?
- When training cn-xs, do 50% text prompt should be ignored as like controlnet HOT 1
- I am going to train this model. and I find the loss is about 0.20+ at the begin of training. HOT 4
- Thanks a lot for building this. I have 2 questions
- Training scripts and working with diffusers HOT 2
- How to train? HOT 3
- what can the "learning embedding" do?
- Dataset usage
- open_clip.create_model_and_transforms fuction problem when inferencing
- About a Possible Mistake in the Condition Input of the Control Model Architecture HOT 3
- Inference Shape Error: 48m_canny and sdxl HOT 3
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from controlnet-xs.