Instructions to use Laughify/moonknight-and-mrknight-finetuned-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Laughify/moonknight-and-mrknight-finetuned-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("Laughify/moonknight-and-mrknight-finetuned-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 Settings
- Draw Things
- DiffusionBee
MoonKnight-and-MrKnight_Finetuned-Diffusion on Stable Diffusion via Dreambooth trained on the fast-DreamBooth.ipynb by TheLastBen notebook
Model by Laughify
To use MrKnight include kmgrhnti in your prompts. To use Moon Knight use mnokiohntg in your prompts.
You can also train your own concepts and upload them to the library by using the fast-DremaBooth.ipynb by TheLastBen.
You can run your new concept via A1111 Colab :Fast-Colab-A1111
Or you can run your new concept via diffusers: Colab Notebook for Inference, Spaces with the Public Concepts loaded
Sample pictures of this concept:
5140C0CB-916A-47DD-B628-F52FD318CFBC.png
3FAB69E5-588B-4598-BB99-6FEF1BED36A7.png
2531B514-7FB1-4FC5-99E4-FD73AB4D5262.png
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