Instructions to use Bootoshi/WankoMankoV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bootoshi/WankoMankoV2 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/WankoMankoV2") prompt = " A super noisy and film grainy movie-esque photo of a smug happy 3D Wankomanko in a matrix style movie poster. she is holding out her hands. in her left hand a blue dog paw shaped treat. in her right hand a red dog treat. in the matrix, movie poster. at the bottom of the poster is the bold white text \"enter the wanktrix\". In the background are various green dog symbols raining from the top in illuminated vibrant green light. Wankomanko is a female anthropomorphic husky. She is wearing a black trenchcoat and round 2000s shaded sunglasses." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files- Wankomanko.safetensors +3 -0
- images/realwank.png +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1421e12bdc394b31f753ac0f4c493c4e6f667c8af8a3d9180985138335c647b2
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size 306458528
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images/realwank.png
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Git LFS Details
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