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:
- 2fe4633b4295241d31aaaa40a617dde19a4666f948132af6cb95397e1cd19324
- Size of remote file:
- 335 MB
- SHA256:
- 4f494e47454091035a8d50885b1c8545bdb6050d089c8e6a04b60f80ecb74501
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