Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
art
artistic
anime
dreamshaper
lcm
Lykon
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/AnyLoRa-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/AnyLoRa-768 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/AnyLoRa-768", 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:
- f091260b6e632ffb4e0df3e6b11b56806e7a30da3b78c69b95a793c93b3db971
- Size of remote file:
- 2.3 GB
- SHA256:
- 20eea06022e72a69c2db5375a364b64303cb04045096f556db8d5931936c28bb
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