Text-to-Image
Diffusers
Safetensors
English
Arabic
StableDiffusionPipeline
stable-diffusion
floor-plan
architecture
fine-tuned
Instructions to use Youssefx64/floormind-sd-floorplans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Youssefx64/floormind-sd-floorplans with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| { | |
| "model_type": "FloorMind Stable Diffusion v2", | |
| "base_model": "runwayml/stable-diffusion-v1-5", | |
| "resolution": 512, | |
| "best_val_loss": 0.0522, | |
| "epochs_trained": 10, | |
| "learning_rate": 5e-05, | |
| "warmup_steps": 200, | |
| "augmentation": "rotation\u00b15\u00b0 only", | |
| "saved_at": "2026-04-14T15:21:44.397481" | |
| } |