Instructions to use Muapi/bouncing-breasts-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/bouncing-breasts-concept 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/bouncing-breasts-concept") 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:
- e236f433c9d073fb0ca16a6b9144f575bdbd76d749bd438836d15278a5744ad9
- Size of remote file:
- 1.02 MB
- SHA256:
- a1c28ceeccb39bdc5669439449f1fd51ba8384902fc36f40f628218ffb18a9ee
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