Instructions to use ogkalu/Comic-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ogkalu/Comic-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ogkalu/Comic-Diffusion", 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 did you train v1?
#3
by Axel-Moore - opened
Please, could you explain me what program did you used to train the model? The google collab? Nmkd? Automatic1111? I love this model and i would like to make my own. Thank you!
@Axel-Moore
Ah sorry misread the question a bit. I trained v1 on joe's repo (v2 was on kane's repo)
https://github.com/JoePenna/Dreambooth-Stable-Diffusion
Thank you very much!
I forgot to ask you, what learning rate and steps did you used? Thank you!
1e-6 lr and no of training images x 101 for steps