Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,6 +1,4 @@
|
|
| 1 |
import os
|
| 2 |
-
#os.system("pip uninstall -y gradio")
|
| 3 |
-
#os.system('pip install gradio==3.43.1')
|
| 4 |
import torch
|
| 5 |
import torchvision
|
| 6 |
import torchvision.transforms as transforms
|
|
@@ -44,6 +42,53 @@ pinverse = torch.load(f"{models_path}/files/pinverse_1000pc.pt", map_location=to
|
|
| 44 |
|
| 45 |
unet, vae, text_encoder, tokenizer, noise_scheduler = load_models(device)
|
| 46 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
def sample_model():
|
| 48 |
global unet
|
| 49 |
del unet
|
|
@@ -109,7 +154,6 @@ def inference( prompt, negative_prompt, guidance_scale, ddim_steps, seed):
|
|
| 109 |
@torch.no_grad()
|
| 110 |
@spaces.GPU
|
| 111 |
def edit_inference(prompt, negative_prompt, guidance_scale, ddim_steps, seed, start_noise, a1, a2, a3, a4):
|
| 112 |
-
start_items()
|
| 113 |
global device
|
| 114 |
#global generator
|
| 115 |
global unet
|
|
|
|
| 1 |
import os
|
|
|
|
|
|
|
| 2 |
import torch
|
| 3 |
import torchvision
|
| 4 |
import torchvision.transforms as transforms
|
|
|
|
| 42 |
|
| 43 |
unet, vae, text_encoder, tokenizer, noise_scheduler = load_models(device)
|
| 44 |
|
| 45 |
+
|
| 46 |
+
global young
|
| 47 |
+
global pointy
|
| 48 |
+
global wavy
|
| 49 |
+
global thick
|
| 50 |
+
|
| 51 |
+
young = get_direction(df, "Young", pinverse, 1000, device)
|
| 52 |
+
young = debias(young, "Male", df, pinverse, device)
|
| 53 |
+
young = debias(young, "Pointy_Nose", df, pinverse, device)
|
| 54 |
+
young = debias(young, "Wavy_Hair", df, pinverse, device)
|
| 55 |
+
young = debias(young, "Chubby", df, pinverse, device)
|
| 56 |
+
young = debias(young, "No_Beard", df, pinverse, device)
|
| 57 |
+
young = debias(young, "Mustache", df, pinverse, device)
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
pointy = get_direction(df, "Pointy_Nose", pinverse, 1000, device)
|
| 61 |
+
pointy = debias(pointy, "Young", df, pinverse, device)
|
| 62 |
+
pointy = debias(pointy, "Male", df, pinverse, device)
|
| 63 |
+
pointy = debias(pointy, "Wavy_Hair", df, pinverse, device)
|
| 64 |
+
pointy = debias(pointy, "Chubby", df, pinverse, device)
|
| 65 |
+
pointy = debias(pointy, "Heavy_Makeup", df, pinverse, device)
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
wavy = get_direction(df, "Wavy_Hair", pinverse, 1000, device)
|
| 70 |
+
wavy = debias(wavy, "Young", df, pinverse, device)
|
| 71 |
+
wavy = debias(wavy, "Male", df, pinverse, device)
|
| 72 |
+
wavy = debias(wavy, "Pointy_Nose", df, pinverse, device)
|
| 73 |
+
wavy = debias(wavy, "Chubby", df, pinverse, device)
|
| 74 |
+
wavy = debias(wavy, "Heavy_Makeup", df, pinverse, device)
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
thick = get_direction(df, "Bushy_Eyebrows", pinverse, 1000, device)
|
| 78 |
+
thick = debias(thick, "Male", df, pinverse, device)
|
| 79 |
+
thick = debias(thick, "Young", df, pinverse, device)
|
| 80 |
+
thick = debias(thick, "Pointy_Nose", df, pinverse, device)
|
| 81 |
+
thick = debias(thick, "Wavy_Hair", df, pinverse, device)
|
| 82 |
+
thick = debias(thick, "Mustache", df, pinverse, device)
|
| 83 |
+
thick = debias(thick, "No_Beard", df, pinverse, device)
|
| 84 |
+
thick = debias(thick, "Sideburns", df, pinverse, device)
|
| 85 |
+
thick = debias(thick, "Big_Nose", df, pinverse, device)
|
| 86 |
+
thick = debias(thick, "Big_Lips", df, pinverse, device)
|
| 87 |
+
thick = debias(thick, "Black_Hair", df, pinverse, device)
|
| 88 |
+
thick = debias(thick, "Brown_Hair", df, pinverse, device)
|
| 89 |
+
thick = debias(thick, "Pale_Skin", df, pinverse, device)
|
| 90 |
+
thick = debias(thick, "Heavy_Makeup", df, pinverse, device)
|
| 91 |
+
|
| 92 |
def sample_model():
|
| 93 |
global unet
|
| 94 |
del unet
|
|
|
|
| 154 |
@torch.no_grad()
|
| 155 |
@spaces.GPU
|
| 156 |
def edit_inference(prompt, negative_prompt, guidance_scale, ddim_steps, seed, start_noise, a1, a2, a3, a4):
|
|
|
|
| 157 |
global device
|
| 158 |
#global generator
|
| 159 |
global unet
|