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
- Draw Things
- DiffusionBee
- Xet hash:
- 66da484886486b8141cc51aab3fa0bb41922c41d16c990c6d6a39e6105057c7a
- Size of remote file:
- 492 MB
- SHA256:
- 30679055bb5ac179996fd166fc37c3ef92387c02e7846deed6bc54a0a261e1be
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