Instructions to use cale/kft-hla-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cale/kft-hla-flux 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("cale/kft-hla-flux") prompt = "Realistic photo of Bob Ross painting the text \"KFT HLA\" on a canvas, smiling." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
KFT HLA

- Prompt
- Realistic photo of Bob Ross painting the text "KFT HLA" on a canvas, smiling.

- Prompt
- High quality image of Nemo from Finding Nemo, looking concerned, lying on a plate next to a knife and fork on a kitchen table.

- Prompt
- realistic photo of a business man sitting in front of a laptop, smiling and giving a thumbs up

- Prompt
- A dinosaur eating pizza in a park

- Prompt
- fluffy, medium-sized cat named Allie with a mottled coat featuring dark brown and black tabby stripes, wearing a blue wizard hat and robe, in a forest

- Prompt
- Realistic photo of a colorful parrot sitting on the shoulder of a ragged, long-bearded pirate.
Model description
LoRA to improve Flux.1-dev images to nearly pro quality.
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 cale/kft-hla-flux
Base model
black-forest-labs/FLUX.1-dev