Instructions to use ttttdiva/dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ttttdiva/dreambooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ttttdiva/dreambooth", 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
Ctrl+K
- 00_created
- 01_popular
- 02_miner
- 03_real
- 04_concept
- 05_character
- Akitsuki
- DBRAIZA5ch
- Emilia
- Ram
- Rem
- SoulsWaifus (Priscilla, DS3FireKeeper, PlainDoll, Melina, Ranni, Maiden in Black)
- Zeromodel
- bocchi-the-rock-character
- dreambooth-hyper-preg-v1.1
- dreambooth-hyper-preg-v2
- fubuki-ld-v1-e13-ex-ad
- gyokaidreambooth_1000
- mkmp
- mount_dev_succubus_mnt
- musical-isotope
- pony-diffusion-v3
- pyros-bj-v1-0
- senko
- unknown
- 49.3 kB
- 2.13 GB xet
- 3.85 GB xet
- 20 Bytes
- 3.85 GB xet
- 2.13 GB xet