Instructions to use SedatAl/Interior-Flux-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SedatAl/Interior-Flux-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("SedatAl/Interior-Flux-Lora") prompt = "interior living room" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("SedatAl/Interior-Flux-Lora")
prompt = "interior living room"
image = pipe(prompt).images[0]Interior Flux Lora

- Prompt
- interior living room

- Prompt
- interior living room witH a couch , tv set and a fireplace

- Prompt
- interior a white living room with a vaulted ceiling and view of ocean
Trigger words
You should use interior 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 SedatAl/Interior-Flux-Lora
Base model
black-forest-labs/FLUX.1-dev