Instructions to use Cybernaut101/ddpm-floorplans_tutorial-128_bw_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cybernaut101/ddpm-floorplans_tutorial-128_bw_trained with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cybernaut101/ddpm-floorplans_tutorial-128_bw_trained", 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
Commit ·
6648db4
1
Parent(s): 8094888
Epoch 29
Browse files
.gitattributes
CHANGED
|
@@ -37,3 +37,5 @@ samples/0004.png filter=lfs diff=lfs merge=lfs -text
|
|
| 37 |
samples/0009.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
samples/0014.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
samples/0019.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
| 37 |
samples/0009.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
samples/0014.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
samples/0019.png filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
samples/0024.png filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
samples/0029.png filter=lfs diff=lfs merge=lfs -text
|
logs/train_example/events.out.tfevents.1741822192.3bcf1b86ed7a.2622.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9dae4df329b6069d5235407b7e6280b5d1bf0851ed9c8010ca2342de93733f05
|
| 3 |
+
size 2388046
|
samples/0024.png
ADDED
|
Git LFS Details
|
samples/0029.png
ADDED
|
Git LFS Details
|
unet/diffusion_pytorch_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 454722660
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7aa7c0286a38511fb517c3f221e8ddc8bef9eb9010c6d02c24de58a86d53043f
|
| 3 |
size 454722660
|