Instructions to use Muapi/d.-backgrounds-dadadala with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/d.-backgrounds-dadadala 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/d.-backgrounds-dadadala") 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:
- bdd64cb2bdb80ac6a8362db5b5059badb6902a2e8e1ee955120f00bfae07aa10
- Size of remote file:
- 1.27 MB
- SHA256:
- 99c2489f905c99f41957d9d898dde8fee96bb0dbd42dd7c0e9dc96f27862c4d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.