Instructions to use Duskfallcrew/duskfallai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Duskfallcrew/duskfallai 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/duskfallai", dtype=torch.bfloat16, device_map="cuda") prompt = "lisdusk1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- b8f83a7597fce9f55bf93e1b4eb8e96e0c2b8517e51f3177fc99732deb9518e8
- Size of remote file:
- 492 MB
- SHA256:
- f3b0153825ebd889b6a4cb7dfc814d42dc3b8b04eeb370b4c3fd91e8518735fb
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