Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
Art
Girl
LandScapes
Animals
Creatures
Eyes
Style
2D
Base Model
RIXYN
Barons
iamxenos
Lykon
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/ShapeShifter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ShapeShifter 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/ShapeShifter", 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
- Draw Things
- DiffusionBee
- Xet hash:
- d6eea1a5502c7044cf7c14a2bfc85bbf2af2534dec45ee7064f8926eaf2b36b7
- Size of remote file:
- 492 MB
- SHA256:
- 5cd76eb3ed326974cfd66795384e890742dfdb5a80f5f4e4cb1547d51ec75d86
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