Instructions to use Muapi/teasing-cleavage-concept-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/teasing-cleavage-concept-lora 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/teasing-cleavage-concept-lora") 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:
- ef5a7bc4601976ba583c0de74a35acd7a9f8e49c7e93fbf09754efd51628c7e2
- Size of remote file:
- 3.33 MB
- SHA256:
- e4bd39f17eec5f3351ae92a02b273ab9ac349b6b7f225f200281b4baaf7a91ec
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