Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
art
digital
zoidbb
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/WoopWoopAnime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/WoopWoopAnime 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/WoopWoopAnime", 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:
- fe706f98a84759f5fc83947789a545708e91984620dd39530e5cc2a623287ddd
- Size of remote file:
- 246 MB
- SHA256:
- 4484c0336354e54bc8f3b2f0cea3507cd6778221ee59bdbfafe1f2daa9e214db
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