Text-to-Image
Diffusers
Safetensors
English
Arabic
StableDiffusionPipeline
stable-diffusion
floor-plan
architecture
fine-tuned
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Youssefx64/floormind-sd-floorplans", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]FloorMind SD v2 — Architectural Floor Plan Generator
Fine-tuned Stable Diffusion v1-5 on 5,000 real floor plans from the CubiCasa5K dataset.
Model Description
- Base model: runwayml/stable-diffusion-v1-5
- Task: Text-to-image (floor plan generation)
- Best val loss: 0.0522
- Epochs: 10
- Augmentation: rotation ±5° only (no color jitter)
- Resolution: 512×512
Usage
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained(
"Youssefx64/floormind-sd-floorplans",
torch_dtype=torch.float16,
safety_checker=None,
).to("cuda")
image = pipe(
"floor plan 2 bedrooms living room kitchen bathroom",
num_inference_steps=30,
guidance_scale=7.5,
).images[0]
image.save("floor_plan.png")
Training Data
- Dataset: CubiCasa5K (5,000 architectural floor plans)
- Split: 80% train / 10% val / 10% test
- Languages: English & Arabic prompts
Part of CadArena
This model powers CadArena — an AI-powered architectural floor plan generator.
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