Instructions to use fillsoko/stablesatya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fillsoko/stablesatya with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fillsoko/stablesatya", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of STBLSATYA" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
stablesatya Dreambooth model trained by fillsoko with Hugging Face Dreambooth Training Space with the v2-1-512 base model
This model is based on Stable Diffusion 2.1 and was fine tuned using 18 portraits of Staya Nadella scraped from the web.
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
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