Instructions to use Muapi/kiss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/kiss with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/kiss") 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

- Xet hash:
- d5857eb89a1ebfbf65716faf93e9a20221ee701fb43e659c5c2aa197307b3ff1
- Size of remote file:
- 1.51 MB
- SHA256:
- aad9b9676ed5271798c16658f89a35213b6d02a6e92952a5e0216efd38d16ea1
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