Instructions to use jmamou/sd-pokemon-distil-model-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jmamou/sd-pokemon-distil-model-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jmamou/sd-pokemon-distil-model-2", 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
Commit History
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1) b16002c
Distilled diffusion model on Pokemon ebb92c3
jmamou commited on