Instructions to use rr404/alpacavatar02-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rr404/alpacavatar02-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rr404/alpacavatar02-model", dtype=torch.bfloat16, device_map="cuda") prompt = "alpacavatar02" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
alpacavatar02_model Dreambooth model trained by rr404 with Hugging Face Dreambooth Training Space with the v2-1-512 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
Sample pictures of:
- Downloads last month
- 7