Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
anime
style
desserts
andite
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Tea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Tea 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/Tea", 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:
- 092991699816a933dae7638978030e44f486a67bda5cd63e4f8276b57d28c75c
- Size of remote file:
- 492 MB
- SHA256:
- dcdce68429a867606ca3e7dc1e0f96f54cf98ee8289506b2d04e40cdff5d3af7
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