Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
General Purpose
Ctuhulo
realisticElves
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/animeTEN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/animeTEN 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/animeTEN", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 0f39b49f3a23fd07e83497a37c81500f5685e3e45867ff2ce517b4e7ea06a989
- Size of remote file:
- 492 MB
- SHA256:
- 97cb6ba95f9e3a6dad4b9967a5298e22b8c7991224c01d87658d834b9d90bfda
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.