Instructions to use Duskfallcrew/duskfall-virtual-3d-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Duskfallcrew/duskfall-virtual-3d-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Duskfallcrew/duskfall-virtual-3d-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "seconddusk" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 03effc983c7ed1e4045f5e03d0288daf3bfa3be603b7f6e04d14d95e960b353a
- Size of remote file:
- 3.44 GB
- SHA256:
- 6ce6d8658c295b31c0c339ebb88a05a456090927342b2a4996db74e5edffe4b9
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