Instructions to use kxic/EscherNet_demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kxic/EscherNet_demo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kxic/EscherNet_demo", 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
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Check out the documentation for more information.
For gradio 6dof demo https://huggingface.co/spaces/kxic/EscherNet
N3M3B112R256G6
30k Objaverse 6DoF rendering
30k steps, bs 112*6, 6A100 60hours
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