Instructions to use Pinguin/Flux_semkavkvadrate-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pinguin/Flux_semkavkvadrate-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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Pinguin/Flux_semkavkvadrate-Lora") prompt = "a portrait of a ginger woman wearing alternative clothes and at rio de janeiro, photography by semkavkvadrate" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
semkavkvadrate
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- Prompt
- a portrait of a ginger woman wearing alternative clothes and at rio de janeiro, photography by semkavkvadrate
Model description
A High quality Photography Style lora
Trigger words
You should use photography by semkavkvadrate to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Pinguin/Flux_semkavkvadrate-Lora
Base model
black-forest-labs/FLUX.1-dev