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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 20a5ee7fefd33679b9cde7fbbbb7e69668266272b782fed7b55b09c796d9463f
- Size of remote file:
- 2.13 GB
- SHA256:
- 29199c04d735d43e9b7bc6b97bc3a2fa1115be90da8e676e9c8d379fe7581338
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