Comments (5)
- 24 A100s for 2 days for phase 1 and 16 A100s for 3.5 days for phase 2 training.
- I think there is only one model called SD 2 and is an v-model: https://huggingface.co/stabilityai/stable-diffusion-2
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Really awesome. Do you plan to release the training code?
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#10. We are planning to release controlnet training code.
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- 24 A100s for 2 days for phase 1 and 16 A100s for 3.5 days for phase 2 training.
- I think there is only one model called SD 2 and is an v-model: https://huggingface.co/stabilityai/stable-diffusion-2
great work! what batch size did you use for training, and how many epoch?
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and, the reference latent is scaled by a factor of 5 in your paper, but i did not find the factor 5 used in inference code.
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Related Issues (20)
- Is there an approach to remove the gray background purely? HOT 4
- camera pose HOT 1
- scaling about reference attention HOT 2
- training data HOT 1
- camera FOV HOT 1
- something about trainning detail.. HOT 2
- training resolution 320^2 instead of 512^2? HOT 2
- depth control for v1.2 ? HOT 1
- RuntimeError: "LayerNormKernelImpl" not implemented for 'Half' HOT 1
- About the object normalization in v1.2 HOT 2
- How to align the coordinate system of zero123 in threestudio?
- Would it be feasible to provide more than one view angle as input to better the quality of the outputs.
- Can I get train code?
- How to change Camera Parameters of output view?
- Depth map size ratios for depth ControlNet
- About dataset
- img_to_mv.py without cuda HOT 1
- The difference between v1.2 and v1.1 in the network architecture
- CUDA out of memory. Tried to allocate error HOT 1
- would you release the training code in the future?
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