Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
floorplan
architecture
design
Instructions to use bavlyyoussef/floorplan-model-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bavlyyoussef/floorplan-model-v3 with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Update text_encoder/config .json
Verified signature56bad44 -
Rename text_encoder/config (2).json to text_encoder/config .json
Verified signaturef312bc9 -
Upload config (2).json
Verified signaturec4a1f2f -
Update model_index.json
Verified signature50f2883 -
Rename vae/confie.json to vae/config.json
Verified signaturedf96717 -
Upload confie.json
Verified signaturee469e48 -
Rename unet/adapter_config.json to unet/config.json
Verified signature6cffacf
-
Upload UNet full model
Verified signaturec2b53c8 -
Delete unet/adapter_model.safetensors
Verified signature35f0fbc -
Update unet/adapter_config.json
Verified signature1962487 -
Update model_index.json
Verified signature280c61c -
Upload fine-tuned floorplan model v3
Verified signatureStable Diffusion v2.1 fine-tuned for architectural floorplan generation930f306 -
initial commit
Verified signature0a5074d