Instructions to use aimalias/d4dd4r10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/d4dd4r10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/d4dd4r10") prompt = "A D4DD4R10 woman wearing iridescent futuristic armor, standing amidst the neon-lit skyscrapers of a rainy cyberpunk metropolis." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 14185a3fcbb752bc84dfd21550f074d69433929a02580aea7d6e85055fa9c5cb
- Size of remote file:
- 195 MB
- SHA256:
- 0546c7cafd6061708fe3ef0907c2ccec3fa3ce6c56f693dc79e8d9b5751dba89
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.