Comments (2)
deepkyu
commented on June 16, 2024
1
Sorry for late late reply @abhigoku10
For question 3, we utilized stable diffusion webui code and a Docker environment on NVIDIA Jetson, provided by dusty-nv/jetson-containers. We updated the model code to support both the original stable diffusion and our BK-SDM. The model checkpoint is the same as the one available on Hugging Face, but it requires remapping the module name.
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bokyeong1015
commented on June 16, 2024
Hi,
- (1) We would recommend using our uploaded models on Hugging Face Spaces, which are checkpoint-50000.
- (2) We deployed our models on the NVIDIA AGX Orin 32GB device. Testing on other NVIDIA edge GPUs has not been planned yet.
- (4) Thanks for the comment, but compressing the image decoder has not been scheduled yet. In our recent work (titled EdgeFusion), the BK-SDM-Tiny model was combined with LCM for few-step generation.
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Related Issues (20)
- Question of Dreambooth evaluation HOT 6
- improved wandb logger
- batched image generation
- Is there someway to test Img2Img? HOT 1
- any plans for more models? HOT 1
- About the training speed HOT 3
- About gpu memory HOT 2
- how about kd trianing without ema? HOT 1
- May I ask if the training time is not accurate HOT 1
- issue about training iterations HOT 1
- We find the 2.3M dataset can not download, the link is wrong? HOT 1
- Repo update
- Could the author share the code for calculating the model parameters(Param.) and the model computational complexity(MACs) of the pipeline. HOT 7
- Could the authors share the code of producting heat map of Figure.8? I am very appreciate your nice work and kind help. HOT 1
- OSError: Error no file named scheduler_config.json found in directory CompVis/stable-diffusion-v1-4 HOT 1
- ValueError: Invalid pattern: '**' can only be an entire path component HOT 1
- Loading preprocessed_212k laion dataset without any response in terminal HOT 1
- How to replicate this work offline
- Any plan to release v2.1-base model?
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