Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
StableDiffusionXLPipeline
Inference Endpoints
sdxl
realism
tensorart
face-diffusion
Instructions to use prithivMLmods/Canopus-Realism-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Canopus-Realism-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/Canopus-Realism-LoRA") prompt = "A man dressed in sunglasses and brown jacket, in the style of cypherpunk, timeless beauty, exacting precision, uhd image, aleksandr deyneka, matte background, leather/hide --ar 67:101 --v 5" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee