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
- Draw Things
- DiffusionBee
- Xet hash:
- 89529ceca3aeb3f681fe37565185e8d63c46ade4819b0d6c6c36ad74e9ef83ed
- Size of remote file:
- 167 MB
- SHA256:
- abcec86e499e1ce9f05d1630725d386dc533b61fe0947ab034f07f89042e7a61
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