Comments (5)
Would really be useful if this could be changed to an MIT license. Such amazing work in monocular depth would be extremely useful in so many different applications!!
from marigold.
We are working on this and will update you soon, stay tuned!
from marigold.
Yeah current lisence is not workable, it prevents us from adopting this great work to things like controlnet and sd extensions, best option is MIT lisence.
Most respect for the work you have done with Marigold.
We are exploring the option to use stable diffusion inpaint models to train depth and normal map as well , as the inpainting model supports concatenation method.
https://github.com/lorenzo-stacchio/Stable-Diffusion-Inpaint
Any feedback on that idea ?
from marigold.
Hello,
We have updated the license to Apache-2.0. Commercial usage is now possible under the LICENSE.
Best.
from marigold.
Awesome, I’m excited to use this in production.
from marigold.
Related Issues (20)
- Clarification Needed: Training and Inference Pipeline HOT 4
- Any reason for not using vae.std to generate RGB latent? HOT 1
- do you plan to release better and more accurate models for this original marigold? HOT 1
- The purpose of using v_prediction as the target? HOT 1
- where can I get the "output/marigold_base/checkpoint/latest" HOT 1
- The demo 3D looks ok but not match with the predicted depth image HOT 1
- How to organize the vkitti data HOT 1
- train the model on my custom dataset HOT 1
- Unusual slow training speed HOT 8
- About some problems that arise during training HOT 9
- issue with reproducing results in the paper HOT 1
- Is it possible to train the model by feeding it rgb images + 8-bit relative depth maps ? HOT 1
- Muti-GPUs training
- Data cannot be read during training HOT 1
- Validation Error
- Fine-tune the base model
- What does the consistent value of 721.5377 represent in eigen_test_files_with_gt.txt? HOT 1
- Questions about LCM model training HOT 1
- noob questions about code understanding. HOT 3
- [HuggingFace] is it possible to fine-tune Marigold using the AutoTrainer on my custom dataset ?
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