Text-to-Image
Diffusers
TensorBoard
English
StableDiffusionPipeline
comic book art
visual art
self art style
duskfallcrew
Instructions to use xFutureTechx/visual-art-style-1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/visual-art-style-1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/visual-art-style-1-5", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "dskyart1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 786ecf84f890172d20ea214ae79013b00e64a7dea9cd1860701ab790d8636cde
- Size of remote file:
- 492 MB
- SHA256:
- 906d4e0fd043c87fb72762efc5e7c8ae03f3b7d285aa0e1585883bf37739921b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.