Instructions to use rorito/smog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rorito/smog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rorito/smog") prompt = "selfie photo of a man with brown hair and a blonde woman hugging on the beach with clouds in the sky, romanticism, amateur iphone photo, socmed, <lora:Zphyr_FLUX_Photorealistic_LoRA:0.4> <lora:socmed_v2:0.65> <lora:photooo-000001:0.5> <lora:iphone-dev-7:0.65> <lora:amateurphoto-6version:0.65>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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