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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 267e74a1db6944a3e86cc3c5b7f6f94f75dba84cc95cece9a7e9544dd75963a5
- Size of remote file:
- 3.44 GB
- SHA256:
- 9e1b530f066299a31a3b0b573e3a924fa79b0d815f8d297f163413391b76c34f
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