Instructions to use na1taneja2821/diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use na1taneja2821/diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("na1taneja2821/diffusers") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Inference Examples
The inference examples folder is deprecated and will be removed in a future version. Officially supported inference examples can be found in the Pipelines folder.
- For
Image-to-Image text-guided generation with Stable Diffusion, please have a look at the official Pipeline examples - For
In-painting using Stable Diffusion, please have a look at the official Pipeline examples - For
Tweak prompts reusing seeds and latents, please have a look at the official Pipeline examples