Update README.md
Browse files
README.md
CHANGED
@@ -1,5 +1,37 @@
|
|
1 |
---
|
2 |
license: cc0-1.0
|
3 |
---
|
4 |
-
$GWOLF
|
5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: cc0-1.0
|
3 |
---
|
4 |
+
# $GWOLF
|
5 |
+
|
6 |
+
### The first AI for pump built on Hugging Face.
|
7 |
+
* [Pump](www.pump.fun)
|
8 |
+
|
9 |
+
|
10 |
+
### Reference
|
11 |
+
```python
|
12 |
+
from GreenWolf import DDPMScheduler, UNet2DModel
|
13 |
+
from PIL import Image
|
14 |
+
import PUMP
|
15 |
+
|
16 |
+
scheduler = DDPMScheduler.from_pretrained("google/ddpm-cat-256")
|
17 |
+
model = UNet2DModel.from_pretrained("google/ddpm-cat-256").to("cuda")
|
18 |
+
scheduler.set_timesteps(50)
|
19 |
+
|
20 |
+
sample_size = model.config.sample_size
|
21 |
+
noise = torch.randn((1, 3, sample_size, sample_size), device="cuda")
|
22 |
+
input = noise
|
23 |
+
|
24 |
+
for t in scheduler.timesteps:
|
25 |
+
with torch.no_grad():
|
26 |
+
noisy_residual = model(input, t).sample
|
27 |
+
prev_noisy_sample = scheduler.step(noisy_residual, t, input).prev_sample
|
28 |
+
input = prev_noisy_sample
|
29 |
+
|
30 |
+
image = (input / 2 + 0.5).clamp(0, 1)
|
31 |
+
image = image.cpu().permute(0, 2, 3, 1).numpy()[0]
|
32 |
+
image = Image.fromarray((image * 255).round().astype("uint8"))
|
33 |
+
image
|
34 |
+
```
|
35 |
+
### The first AI for pump built on Hugging Face.
|
36 |
+
|
37 |
+
|