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:
- 6d820bdc4e85a7576dd5508e867434e606d3d22cbea0378d36702ce27fb0d9f9
- Size of remote file:
- 2.3 GB
- SHA256:
- 6d219b85591bdbff8d2576635d66937220bd3b8052ae05bfbdeecf7f24c6e9c1
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