Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
artistic
anime
dreamshaper
lcm
Instructions to use Lykon/AnyLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lykon/AnyLoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/AnyLoRA", 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
-
AnyLoRA diffusers upload (#5)
- AnyLoRA diffusers upload (b7f464efa98f63e2539424485e705cb5ee2bb549)a37959c -
Adding `diffusers` weights of this model (#3)
- Adding `diffusers` weights of this model (c75ac25c3d86a579b6bb006823c5161182d50090) Co-authored-by: Tyler Davis <Grimlock5310@users.noreply.huggingface.co>54c1732