Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -9,7 +9,7 @@ from diffusers.utils import load_image
|
|
9 |
from PIL import Image
|
10 |
import requests
|
11 |
import transformers
|
12 |
-
from transformers import AutoTokenizer, T5EncoderModel
|
13 |
from translatepy import Translator
|
14 |
|
15 |
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
|
@@ -55,9 +55,15 @@ text_encoder_3 = T5EncoderModel.from_pretrained(
|
|
55 |
torch_dtype=torch.float16,
|
56 |
)
|
57 |
|
|
|
|
|
|
|
|
|
|
|
58 |
tokenizer_3 = AutoTokenizer.from_pretrained(
|
59 |
repo,
|
60 |
-
subfolder="tokenizer_3",
|
|
|
61 |
torch_dtype=torch.float16,
|
62 |
)
|
63 |
|
@@ -100,9 +106,8 @@ def generate_image(
|
|
100 |
if init_image:
|
101 |
image = pipe2(
|
102 |
prompt=text,
|
103 |
-
prompt_3=text,
|
104 |
image=init_image,
|
105 |
-
|
106 |
guidance_scale=scale,
|
107 |
num_inference_steps=steps,
|
108 |
strength=strength,
|
@@ -111,8 +116,7 @@ def generate_image(
|
|
111 |
else:
|
112 |
image = pipe(
|
113 |
prompt=text,
|
114 |
-
|
115 |
-
negative_prompt_3=negative,
|
116 |
width=width,
|
117 |
height=height,
|
118 |
guidance_scale=scale,
|
@@ -141,7 +145,7 @@ examples = [
|
|
141 |
|
142 |
with gr.Blocks(css=CSS, js=JS, theme="soft") as demo:
|
143 |
gr.HTML("<h1><center>SD3M🦄</center></h1>")
|
144 |
-
gr.HTML("<p><center><a href='https://huggingface.co/stabilityai/stable-diffusion-3-medium'>sd3m</a> text/image-to-image generation<br>Update: img2img, T5 long
|
145 |
with gr.Group():
|
146 |
with gr.Row():
|
147 |
prompt = gr.MultimodalTextbox(label='Enter Your Prompt (Multi-Languages)', interactive=True, placeholder="Enter prompt, add one image.", file_types=['image'], scale=6)
|
|
|
9 |
from PIL import Image
|
10 |
import requests
|
11 |
import transformers
|
12 |
+
from transformers import AutoConfig, AutoTokenizer, T5EncoderModel
|
13 |
from translatepy import Translator
|
14 |
|
15 |
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
|
|
|
55 |
torch_dtype=torch.float16,
|
56 |
)
|
57 |
|
58 |
+
model_config = AutoConfig.from_pretrained(
|
59 |
+
repo,
|
60 |
+
subfolder="tokenizer_3",
|
61 |
+
)
|
62 |
+
|
63 |
tokenizer_3 = AutoTokenizer.from_pretrained(
|
64 |
repo,
|
65 |
+
subfolder="tokenizer_3",
|
66 |
+
config=model_config,
|
67 |
torch_dtype=torch.float16,
|
68 |
)
|
69 |
|
|
|
106 |
if init_image:
|
107 |
image = pipe2(
|
108 |
prompt=text,
|
|
|
109 |
image=init_image,
|
110 |
+
negative_prompt=negative,
|
111 |
guidance_scale=scale,
|
112 |
num_inference_steps=steps,
|
113 |
strength=strength,
|
|
|
116 |
else:
|
117 |
image = pipe(
|
118 |
prompt=text,
|
119 |
+
negative_prompt=negative,
|
|
|
120 |
width=width,
|
121 |
height=height,
|
122 |
guidance_scale=scale,
|
|
|
145 |
|
146 |
with gr.Blocks(css=CSS, js=JS, theme="soft") as demo:
|
147 |
gr.HTML("<h1><center>SD3M🦄</center></h1>")
|
148 |
+
gr.HTML("<p><center><a href='https://huggingface.co/stabilityai/stable-diffusion-3-medium'>sd3m</a> text/image-to-image generation<br>Update: img2img, add Strength, T5 long Token</center></p>")
|
149 |
with gr.Group():
|
150 |
with gr.Row():
|
151 |
prompt = gr.MultimodalTextbox(label='Enter Your Prompt (Multi-Languages)', interactive=True, placeholder="Enter prompt, add one image.", file_types=['image'], scale=6)
|