Instructions to use layerdifforg/seethroughv0.0.2_layerdiff3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use layerdifforg/seethroughv0.0.2_layerdiff3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("layerdifforg/seethroughv0.0.2_layerdiff3d", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Open-source license for seethroughv0.0.2_layerdiff3d?
#1
by JJHaggar - opened
Hello! ^_^/
Thank you for releasing seethroughv0.0.2_layerdiff3d and for making it available as part of the see-through project.
I was wondering if you could clarify the license for this model’s weights. Knowing the terms of use would help those of us interested in exploring, using, or building upon your work.
If possible, an open license such as Apache 2.0 (the same used for the see-through repo code) or MIT would be very welcome and could make collaboration and contributions easier, but of course I completely respect whatever you decide :)
Thank you for your time!
Yes all our models are aligned with our main repo to use Apache 2.0. Thanks for point this out.
24yearsold changed discussion status to closed