Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use parinzee/pingu-nootnoot-diffusion-v2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use parinzee/pingu-nootnoot-diffusion-v2-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("parinzee/pingu-nootnoot-diffusion-v2-1", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a nootnoot penguin in acropolis, 4k, acrylic palette knife" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
nootnoot-diffusion-v2-1 Dreambooth model trained by parinzee with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
- Downloads last month
- 23




