Instructions to use krystv/shinkaiart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krystv/shinkaiart with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krystv/shinkaiart", 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 Settings
- Draw Things
- DiffusionBee
About how to train with dreambooth
#3
by shirleyjie - opened
Hello, I would like to ask you how to train with dreambooth, how to set the number of iterations and learning rate, instance prompt, etc.
You can use fast dreambooth notebook to train dreambooth model from thelastben. That notebook is very well explained and you can set up it easily if you found it confusing you can dm me at my instagram @iamhemantindia.
krystv changed discussion status to closed