Instructions to use LegoClipStars/Natasha_ZimaSH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LegoClipStars/Natasha_ZimaSH with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/OpenDalleV1.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LegoClipStars/Natasha_ZimaSH") prompt = "NEFT" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Natasha_ZimaSH

- Prompt
- NEFT
- Negative Prompt
- Cosmetic chemistry focus
Model description
Here's my RVC voice model of Natasha Zima from Shadow High.
Trigger words
You should use Please spare me to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- -
Model tree for LegoClipStars/Natasha_ZimaSH
Base model
dataautogpt3/OpenDalleV1.1