Unconditional Image Generation
Diffusers
Safetensors
PyTorch
DDPMPipeline
diffusion-models
anime
anime-faces
ddpm
Instructions to use abcd2019/Anime-face-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abcd2019/Anime-face-generation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("abcd2019/Anime-face-generation", 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
Commit History
-
Upload README.md with huggingface_hub
Verified signature344d3c1 -
Upload model_index.json with huggingface_hub
Verified signature2cc472d -
Upload folder using huggingface_hub
Verified signature147b482 -
Upload folder using huggingface_hub
Verified signature92c1709 -
initial commit
Verified signature840cd3a