Text-to-Image
Diffusers
English
StableDiffusionPipeline
dreambooth
stable-diffusion
stable-diffusion-diffusers
Instructions to use lambda/dreambooth-avatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lambda/dreambooth-avatar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lambda/dreambooth-avatar", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
How can we convert this one into ckpt - the whole community works around it
#1
by MonsterMMORPG - opened
How can I convert this model into a ckpt file?
Use this script by hugging face: https://github.com/huggingface/diffusers/blob/main/scripts/convert_diffusers_to_original_stable_diffusion.py
justinpinkney changed discussion status to closed
@justinpinkney the ckpt file it generates causes error. i bet you didnt even tried it