Instructions to use Palzani/palzani-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Palzani/palzani-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("Palzani/palzani-lora") prompt = "Sam_Stacks_in_a_business_suit" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
palzani-lora

- Prompt
- Sam_Stacks_in_a_business_suit
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- Prompt
- Sam_Stacks_in_the_office

- Prompt
- Sam_Stacks_in_shades_with_a_snapback_cap_with_"NY" _on the_front
Trigger words
You should use Sam Stacks to trigger the image generation.
You should use New Money Millionaires to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Palzani/palzani-lora
Base model
black-forest-labs/FLUX.1-dev