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
- Xet hash:
- fdabb748b43d27ad3c1677e39a0902961926f7d816b988ba3e0b475efc85b38e
- Size of remote file:
- 1.72 GB
- SHA256:
- 9fbefd0340b8c1e337869fb1a0fc560dd8a3067426bb25b5f3ed048df7fa7943
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