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
Upload UNet full model
Browse files
unet/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7404a742a00dae9c88e753fb4fee91ef0534aa9b975e2863c40104c45b4de8b1
|
| 3 |
+
size 3546754992
|