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
Add training summary
Browse files- model_summary.json +11 -0
model_summary.json
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{
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"model_type": "FloorMind Stable Diffusion v2",
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"base_model": "runwayml/stable-diffusion-v1-5",
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"resolution": 512,
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"best_val_loss": 0.0522,
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"epochs_trained": 10,
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"learning_rate": 5e-05,
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"warmup_steps": 200,
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"augmentation": "rotation\u00b15\u00b0 only",
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"saved_at": "2026-04-14T15:21:44.397481"
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}
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