Instructions to use Bootoshi/dankowankov2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bootoshi/dankowankov2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Bootoshi/dankowankov2") prompt = "A digital drawing of super extremely cool looking Wankomanko in a matrix style movie poster. She is wearing a black trenchcoat, suit and black sunglasses. she is holding out her hands with the palms facing up. in the hand on the left side of the image is a pill shaped blue pill. in the right side of the image a hand holding a red dog treat that looks like the paw of a dog. in the matrix, movie poster. at the bottom of the poster is stylized text \"WANKTRIX\" in the style of Matrix. In the background are various green dog symbols raining from the top in illuminated vibrant green light. Wankomanko is a female anthropomorphic husky. The background behind the green rain of symbols is an old empty subway station" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee