Instructions to use nitrosocke/classic-anim-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/classic-anim-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/classic-anim-diffusion", 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
Stable Diffusion 2.0
#12
by gordondavidf - opened
Hi Nitrosocke. Love what you're doing here. Any plans to update this model to be retrained on Stable Diffusion 2.0?
Hi @gordondavidf
I do plan to re-train all models on SD 2.0 and I can push it to the top, as I still have the dataset in it's original resolution.
Is the 768 or the 512 version favorable over the other?
Hi @nitrosocke -- That'd be great -- I bet this one in particular would be mind blowing on SD2. I've had the best luck training/using the 512 base version myself.