Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
floorplan
architecture
design
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("bavlyyoussef/floorplan-model-v3", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Floorplan Generation Model v3
A fine-tuned Stable Diffusion model specialized in generating architectural floorplans.
Usage
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained("bavlyyoussef/floorplan-model-v3")
pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
prompt = "modern two-bedroom apartment floorplan with living room and kitchen"
image = pipe(prompt).images[0]
image.save("floorplan.png")
Training Details
- Base Model: Stable Diffusion v2.1
- Training Method: LoRA fine-tuning
- Resolution: 512x512
- Specialization: Architectural floorplans
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