Instructions to use xbesing/VITA_Lemon_Tea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xbesing/VITA_Lemon_Tea with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("xbesing/VITA_Lemon_Tea") prompt = "VITA Lemon Tea" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d8092235644f3b364d2d1f438fb8b7751344b1bf66ce77b907b10409333dea3f
- Size of remote file:
- 3.29 MB
- SHA256:
- b07f66f437a3b22be601ffe8d60110689d0613ef218286d6701f4067d7d45926
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