Text-to-Image
Diffusers
TensorBoard
English
StableDiffusionPipeline
art
digital art
stable diffusion
Instructions to use EnD-Diffusers/duskfall-s-general-digital-art-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/duskfall-s-general-digital-art-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/duskfall-s-general-digital-art-model", dtype=torch.bfloat16, device_map="cuda") prompt = "gendigi" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- b55fa44db39eb98efba88c3651a023bba4a62a28ecb3fc5857b937000eb58c5e
- Size of remote file:
- 492 MB
- SHA256:
- 45615d94a0d5b89a5c132af6e76a1c7bf09d1e3a73f468f5b40c8f50477c1487
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.