Spaces:
Runtime error
Runtime error
temp-9384289
commited on
Commit
·
9dd07e2
1
Parent(s):
84d89e5
diffusion only
Browse files- README.md +1 -1
- app.py +74 -37
- flagged/log.csv +2 -0
- flagged/output/a7d3e3ed399e14f7629e/image.webp +0 -0
README.md
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
---
|
2 |
title: ModelProblems
|
3 |
-
emoji:
|
4 |
colorFrom: pink
|
5 |
colorTo: indigo
|
6 |
sdk: gradio
|
|
|
1 |
---
|
2 |
title: ModelProblems
|
3 |
+
emoji: 🧠
|
4 |
colorFrom: pink
|
5 |
colorTo: indigo
|
6 |
sdk: gradio
|
app.py
CHANGED
@@ -1,43 +1,80 @@
|
|
1 |
from diffusers import DiffusionPipeline
|
2 |
import spaces
|
3 |
-
import torch
|
4 |
import PIL.Image
|
5 |
import gradio as gr
|
6 |
import gradio.components as grc
|
7 |
import numpy as np
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
# ]
|
16 |
-
|
17 |
-
|
18 |
-
#
|
19 |
-
#
|
20 |
-
#
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
|
30 |
-
|
31 |
-
|
32 |
-
|
33 |
-
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
-
|
42 |
-
|
43 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
from diffusers import DiffusionPipeline
|
2 |
import spaces
|
3 |
+
# import torch
|
4 |
import PIL.Image
|
5 |
import gradio as gr
|
6 |
import gradio.components as grc
|
7 |
import numpy as np
|
8 |
+
from huggingface_hub import from_pretrained_keras
|
9 |
+
import keras
|
10 |
+
import time
|
11 |
+
import os
|
12 |
+
|
13 |
+
|
14 |
+
|
15 |
+
# options = ['Placeholder A', 'Placeholder B', 'Placeholder C']
|
16 |
+
|
17 |
+
|
18 |
+
# pipeline = DiffusionPipeline.from_pretrained("nathanReitinger/MNIST-diffusion-oneImage")
|
19 |
+
# device = "cuda" if torch.cuda.is_available() else "cpu"
|
20 |
+
# pipeline = pipeline.to(device=device)
|
21 |
+
|
22 |
+
# @spaces.GPU
|
23 |
+
# def predict(steps, seed):
|
24 |
+
# print("HI")
|
25 |
+
# generator = torch.manual_seed(seed)
|
26 |
+
# for i in range(1,steps):
|
27 |
+
# yield pipeline(generator=generator, num_inference_steps=i).images[0]
|
28 |
+
|
29 |
+
# gr.Interface(
|
30 |
+
# predict,
|
31 |
+
# inputs=[
|
32 |
+
# grc.Slider(0, 1000, label='Inference Steps', value=42, step=1),
|
33 |
+
# grc.Slider(0, 2147483647, label='Seed', value=42, step=1),
|
34 |
+
# ],
|
35 |
+
# outputs=gr.Image(height=28, width=28, type="pil", elem_id="output_image"),
|
36 |
+
# css="#output_image{width: 256px !important; height: 256px !important;}",
|
37 |
+
# title="Model Problems: Infringing on MNIST!",
|
38 |
+
# description="Opening the black box.",
|
39 |
+
# ).queue().launch()
|
40 |
+
|
41 |
+
|
42 |
+
from diffusers import StableDiffusionPipeline
|
43 |
+
import torch
|
44 |
+
|
45 |
+
modellist=['nathanReitinger/MNIST-diffusion-oneImage',
|
46 |
+
'nathanReitinger/MNIST-diffusion',
|
47 |
+
# 'nathanReitinger/MNIST-GAN',
|
48 |
+
# 'nathanReitinger/MNIST-GAN-noDropout'
|
49 |
+
]
|
50 |
+
|
51 |
+
# pipeline = DiffusionPipeline.from_pretrained("nathanReitinger/MNIST-diffusion-oneImage")
|
52 |
+
# device = "cuda" if torch.cuda.is_available() else "cpu"
|
53 |
+
# pipeline = pipeline.to(device=device)
|
54 |
+
|
55 |
+
|
56 |
+
def getModel(model):
|
57 |
+
model_id = model
|
58 |
+
print(model_id)
|
59 |
+
if 'diffusion' in model_id:
|
60 |
+
pipe = DiffusionPipeline.from_pretrained(model_id)
|
61 |
+
pipe = pipe.to("cpu")
|
62 |
+
image = pipe(generator= torch.manual_seed(42), num_inference_steps=40).images[0]
|
63 |
+
|
64 |
+
else:
|
65 |
+
pipe = DiffusionPipeline.from_pretrained('nathanReitinger/MNIST-diffusion')
|
66 |
+
pipe = pipe.to("cpu")
|
67 |
+
test = from_pretrained_keras('nathanReitinger/MNIST-GAN')
|
68 |
+
image = pipe(generator= torch.manual_seed(42), num_inference_steps=40).images[0]
|
69 |
+
|
70 |
+
|
71 |
+
return image
|
72 |
+
|
73 |
+
|
74 |
+
import gradio as gr
|
75 |
+
interface = gr.Interface(fn=getModel,
|
76 |
+
inputs=[gr.Dropdown(modellist)],
|
77 |
+
outputs="image",
|
78 |
+
title='Model Problems (infringement)')
|
79 |
+
|
80 |
+
interface.launch()
|
flagged/log.csv
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
Inference Steps,Seed,output,flag,username,timestamp
|
2 |
+
48,42,flagged/output/a7d3e3ed399e14f7629e/image.webp,,,2024-04-28 21:23:26.366305
|
flagged/output/a7d3e3ed399e14f7629e/image.webp
ADDED
![]() |