Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Style
PaperCut
Origami
Anime
3D
Pixar
General
Art
Fictiverse
XpucT
DucHaiten
iamxenos
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/PaperBag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/PaperBag with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/PaperBag", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 51d566d6edb5c4ea45498803d60288d6cce54d455f8149ed7f9627946bffdaa8
- Size of remote file:
- 492 MB
- SHA256:
- 400e15fa9fe99d367f53d5c836a697fe142c822354bb4b3b9101a289482dba03
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.