Instructions to use itsankitdas/df-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use itsankitdas/df-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/sdxxxl-v30-jan24", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("itsankitdas/df-diffusion") 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
File size: 133 Bytes
5594a12 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6ae921151a183a7d4759fd1d6baf1eb4f23607e62d6abc4a075a170ac7e6d5e8
size 47392882
|