Instructions to use Lukman/LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lukman/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("Lukman/LORA") prompt = "lukmanzaman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Lukman/LORA: direct link, hf CLI and curl.
- Browser
- Download file 746 Bytes
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https://huggingface.co/Lukman/LORA/resolve/main/README.md
- Command line
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hf download hf://Lukman/LORA/README.md
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curl -L -o README.md https://huggingface.co/Lukman/LORA/resolve/main/README.md
746 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: lukmanzaman
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
LORA
Model description
FLux-1 Dev LORA, Lukman Zaman's face
Trigger words
You should use lukmanzaman to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.