Instructions to use gorkemyurt/lora-recording with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gorkemyurt/lora-recording 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gorkemyurt/lora-recording") prompt = "photo of a man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
metadata
tags:
- flux
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: photo of a man
license: unknown
lora recording
Model description
my first lora
Trigger words
You should use photo of a man 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-general-training.