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", torch_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:
- b2e55ae370ffce96c5961c877646ed63cdd51c37718c66d54fd7756a1e2cf73e
- Size of remote file:
- 2.13 GB
- SHA256:
- 4b736d718fcfba4a8c9a95871bda9f21ab3b42b9651aea921afe0bb5183ae2fd
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