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
- Xet hash:
- e4d3d302fc9691385b928bd45b678fe9df4b144583387fa17deb67284382a7ab
- Size of remote file:
- 47.4 MB
- SHA256:
- a819960f7b951383cc5d09dfa635a9ad8318fd3e67b5b6cf346fd47caebc0fc8
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