Instructions to use zimhe/SpatialDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zimhe/SpatialDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zimhe/SpatialDiffusion", 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
Upload 004.png
Browse files- .gitattributes +1 -0
- examples/004.png +3 -0
.gitattributes
CHANGED
|
@@ -38,3 +38,4 @@ examples/Las-meninas.png filter=lfs diff=lfs merge=lfs -text
|
|
| 38 |
examples/office.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
examples/qianli.png filter=lfs diff=lfs merge=lfs -text
|
| 40 |
examples/vangoh.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 38 |
examples/office.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
examples/qianli.png filter=lfs diff=lfs merge=lfs -text
|
| 40 |
examples/vangoh.png filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
examples/004.png filter=lfs diff=lfs merge=lfs -text
|
examples/004.png
ADDED
|
Git LFS Details
|