Instructions to use multimodalart/plstps-local-feature with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use multimodalart/plstps-local-feature 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("multimodalart/plstps-local-feature") prompt = "A person in a bustling cafe plstps" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
plstps-local-feature
Model trained with AI Toolkit by Ostris

- Prompt
- A person in a bustling cafe plstps
Trigger words
You should use plstps 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 multimodalart/plstps-local-feature
Base model
black-forest-labs/FLUX.1-dev