Instructions to use EnD-Diffusers/BallJointDoll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/BallJointDoll with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/BallJointDoll", dtype=torch.bfloat16, device_map="cuda") prompt = "vjt" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: vjt
library_name: diffusers
pipeline_tag: text-to-image
Ball Joint Doll Dreambooth model trained by Duskfallcrew 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!