Text-to-Image
PEFT
Safetensors
flux
lora
interior-photography
falooda
dishloop
restaurant
aesthetics
Instructions to use TekRenewed/faloodaco-interior-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TekRenewed/faloodaco-interior-lora with PEFT:
Task type is invalid.
- Inference
- Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:In adapter_config.json: "peft.base_model_name_or_path" must be a string
Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
Falooda & Co β Interior & Aesthetics LoRA (FALCO_INTERIOR)
LoRA fine-tuned on FLUX.1-dev for the authentic interior aesthetics, lighting, and atmosphere of Falooda & Co restaurant.
- Trigger Word:
FALCO_INTERIOR - Dataset: 51 professional restaurant interior photographs
- Steps: 2000 | Rank: 16 | LR: 0.0001
Usage
from diffusers import FluxPipeline
import torch
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("TekRenewed/faloodaco-interior-lora")
pipe.to("cuda")
image = pipe("A professional food photograph of FALCO_FOOD rose falooda, commercial studio lighting", num_inference_steps=28, guidance_scale=3.5).images[0]
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Model tree for TekRenewed/faloodaco-interior-lora
Base model
black-forest-labs/FLUX.1-dev