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", torch_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:
- e77100fef3507b5055c7187ae488225a4bdcdc1eec29d9703536d5ed3569b03e
- Size of remote file:
- 47.4 MB
- SHA256:
- a951957a48e36c12c0f19491aae2a70b2fd70940cc66a5b48981aa9de7dfcbb5
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