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:
- aff77f3d93d3cf681c6c48fcf6c428cd4e403632f33771b04e23b3f54d289883
- Size of remote file:
- 1.36 GB
- SHA256:
- f27679072212278945c1ab9baea383ba5bf710979fb045ab9439275f9ed2af19
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.