Instructions to use Zeelyne/testmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zeelyne/testmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Zeelyne/testmodel", 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
Epoch 0
Browse files
logs/train_unconditional/events.out.tfevents.1727275494.f1754a2aef30.19922.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70aef907f220bed397680bef48e1a54cc4fb0c79e75f978e216bc06fa29171ce
|
| 3 |
+
size 88
|
logs/train_unconditional/events.out.tfevents.1727275932.f1754a2aef30.21808.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e8b40ede5bc1738cccc435250f8912f7ef0ec3f01a5ab0b6f6900ebf0f3a631a
|
| 3 |
+
size 88
|
logs/train_unconditional/events.out.tfevents.1727276111.f1754a2aef30.22601.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f115e05f521e17058a234d659f0094cd6c061c22350b455870b5ebc72b5ee43
|
| 3 |
+
size 181898
|
unet/diffusion_pytorch_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 454741108
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aab6c6392d5829390c835e01f38136a110a86e2e86bb8b6cc0235b558724050b
|
| 3 |
size 454741108
|