Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Space
Cats
realisticElves
verxonous86495
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/animeTWO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/animeTWO 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/animeTWO", 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:
- c4303409a4e4ad970fc92398e9053fa387e5a18c05526898e6df58a2eac7a149
- Size of remote file:
- 2.13 GB
- SHA256:
- 44ba85a85053f783acb642985005b609656645b4e9fd8f45a504286f71132d2e
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