Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Anime
Art
Girl
Photorealistic
3D
LandScapes
stable-diffusion
stable-diffusion-diffusers
XpucT
Lykon
Instructions to use Yntec/DeliShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DeliShaper 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/DeliShaper", 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:
- 62e604190169c8a2e5fdbebf559a5822d17f5de5cec73719e34330f7bc174e33
- Size of remote file:
- 492 MB
- SHA256:
- 153bedac368ef1098aaa05f160222a5a5031696a36392bca604e9c882c4f1cc2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.