Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
anime
general
art
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/BabeBae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/BabeBae 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/BabeBae", 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:
- df8986255dbd89f756730cad6ae422844a537352202799239906e624c08d27f7
- Size of remote file:
- 4.55 GB
- SHA256:
- babebaeeae2350b5c9d5c9a02aca0dc640e229eec499c540f5d331563b5c4941
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.