Instructions to use Yubo532/snl-dataset15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yubo532/snl-dataset15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yubo532/snl-dataset15", dtype=torch.bfloat16, device_map="cuda") prompt = "strider" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
snl_dataset15 Dreambooth model trained by Yubo532 with Hugging Face Dreambooth Training Space with the v1-5 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
Sample pictures of:
luna (use that on your prompt)
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