Comments (2)
same for me, adding --text for using SD backend fixes the issue
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You can change your execution type to A100 and then you will have 83.5 GB system RAM and 40 GB GPU RAM. In this execution type, Image to 3D works really well !
from stable-dreamfusion.
Related Issues (20)
- Cannot open file 'python310.lib' HOT 1
- New zero123-XL released HOT 6
- SDS loss Questions HOT 4
- About SDS loss takes normal as input
- How can I improve the smoothness of the generated mesh? HOT 1
- NaN or Inf found in input tensor. HOT 1
- how to use the latest zero123-xl.ckpt? HOT 4
- "Overhead" prompt for elevation angle HOT 1
- solve 'NaN or Inf found in input tensor' with disable --fp16 HOT 1
- Omit the diffusion gradient term via graph detaching instead of SpecifyGradient hack HOT 5
- Any plans to support SDXL? HOT 1
- Unable to save meshes, everything else worked. HOT 1
- Question about zero123 azimuth angle
- Error running DeepFloyd-IF only
- Zero123 on multiple images HOT 3
- Assertion Error Torch not compiled with Cuda HOT 2
- Possible bug when "as_latent" is used?
- Inaccurate grad scale with the new sds loss HOT 1
- TypeError: grid_encode_forward(): incompatible function arguments. HOT 1
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