Instructions to use Muapi/assuplyingdown with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/assuplyingdown 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/assuplyingdown") 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:
- 0899f233cb75f7986aee36be859b3da60e5b33fe27ebd1b7860bcc6412da5ac1
- Size of remote file:
- 907 kB
- SHA256:
- 857d33504abaf24635402420357acdba08b3dbd478b719a8108367bb334bf4a9
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