Instructions to use Linaqruf/animagine-xl-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Linaqruf/animagine-xl-2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Linaqruf/animagine-xl-2.0", dtype=torch.bfloat16, device_map="cuda") prompt = "face focus, cute, masterpiece, best quality, 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Quality modifiers
#5 opened over 1 year ago
by
janzd
Do we need to include VAE?
1
#4 opened over 2 years ago
by
MicahB
How to set pipeline parameters/arguments with diffusers+colab?
2
#3 opened over 2 years ago
by
Windess
How to run this model in comfyUI?
1
#2 opened over 2 years ago
by
Cyanocitta1yale