Instructions to use serhatkurt/ddim-faces with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use serhatkurt/ddim-faces with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("serhatkurt/ddim-faces", 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 ·
fe22776
1
Parent(s): 3e11cb3
Epoch 49
Browse files
logs/train_example/events.out.tfevents.1695814493.1f2279052492.1558.4
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 sha256:43ea11618ab38326c3b757eaec065dbab3e712f782e96186591b046f30796a19
|
| 3 |
+
size 1853898
|
unet/diffusion_pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 454876541
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d04c460ec535926a0036b9f8dff80b0fdeb9ce7cb7ace2e44cd5e08133a29655
|
| 3 |
size 454876541
|