Comments (2)
Samuel-gwb
commented on July 29, 2024
Yes, amazing !
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nrbennet
commented on July 29, 2024
Thanks for pointing out this issue! We have added conda-forge to the channels in the .yml file.
If removing the CUDA constraints works for you and the examples are running on your GPU, then great! The exact .yml settings regarding CUDA will vary for each user depending on what GPU they are using. We are going to leave the constraints on the CUDA specification since they work on a wide variety of GPUs in our hands.
We're glad you're enjoying using RFdiffusion!
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Related Issues (20)
- RFdiffusion did not install GPU version of Pytorch in the environment without CUDA
- Is there a way to combine Inpainting and Fold Conditioning?
- Partial diffusion errors
- EEOR: Segmentation fault (core dumped) in the af2_binder_design environment
- CONTIG
- Flexible peptide error
- 10A Cbeta distance of the binder HOT 2
- Issue with controlling motif scaffold length?
- Error when running Scaffold guided Binder design.
- Is there a way to increase the weight of hotspots?
- is there a way to design multiple chain's 1 binder in same time? HOT 2
- can't access http://files.ipd.uw.edu/pub/RFdiffusion/... to download weights HOT 2
- RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory
- In lab experiment, binding affinity is pretty strong, but pae_interaction is only around 28 HOT 10
- problems installing from env/SE3nv.yml HOT 2
- curious to know whether only 3-helix binder protein could be design if using scaffold-based binder design.
- Traceback (most recent call last) HOT 1
- Symmetry option model_only_neighbors functional?
- pyRosetta not found for Fold conditioning design HOT 1
- Design small molecule binding proteins [potentials.guiding_potentials] HOT 2
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