File size: 5,741 Bytes
3c3014b ada0ab1 3c3014b ada0ab1 3c3014b bff87b0 3c3014b ada0ab1 3c3014b ada0ab1 e1136c8 3c3014b ada0ab1 2387a4c ada0ab1 3c3014b d4011b4 |
1 2 3 4 5 6 7 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 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 |
import gradio as gr
import numpy as np
from infer import infer, CONTROLNET_MODE
MAX_SEED = np.iinfo(np.int32).max
MAX_IMAGE_SIZE = 1024
examples = [
"The image of a cartoonish mouse eating from a red bowl of yellow triangle chips, her cheeks are full. The mouse is gray with big pink ears, small white eyes and a black pointed nose. It has a simple design, the background color is white. The style of the image is reminiscent of a sticker or a digital illustration.",
"The image of a cartoonish mouse with red hearts instead of eyes meaning that the mouse is in love with something. The mouse is gray with big pink ears and a black pointed nose. It has a simple design, the background color is white. The style of the image is reminiscent of a sticker or a digital illustration.",
"The image of a cartoonish mouse with sunglasses and smiling. The mouse is gray with big pink ears and a black pointed nose. It has a simple design, the background color is white. The style of the image is reminiscent of a sticker or a digital illustration.",
]
css = """
#col-container {
margin: 0 auto;
max-width: 640px;
}
"""
def on_checkbox_change(use_advanced):
visible = use_advanced
return (gr.update(visible=visible, interactive=visible),
gr.update(visible=visible, interactive=visible),
gr.update(visible=visible, interactive=visible))
with gr.Blocks(css=css) as demo:
with gr.Column(elem_id="col-container"):
gr.Markdown(" # Maria Lashina T2I Rat Stickers Generation App")
MODEL_LIST = [
"CompVis/stable-diffusion-v1-4",
"stable-diffusion-v1-5/stable-diffusion-v1-5",
"Maria_Lashina_LoRA"
]
with gr.Row():
model_id = gr.Dropdown(
label="Model",
choices=MODEL_LIST
)
with gr.Row():
prompt = gr.Text(
label="Prompt",
show_label=False,
max_lines=1,
placeholder="Enter your prompt",
container=False,
)
run_button = gr.Button("Run", scale=0, variant="primary")
result = gr.Image(label="Result", show_label=False)
with gr.Accordion("Advanced Settings", open=False):
negative_prompt = gr.Text(
label="Negative prompt",
max_lines=1,
placeholder="Enter a negative prompt",
visible=True,
)
use_controlnet = gr.Checkbox(label="Use ControlNet")
control_strength = gr.Slider(
label="ControlNet strength",
minimum=0,
maximum=1,
step=0.01,
value=0.8,
visible=False
)
controlnet_mode = gr.Dropdown(CONTROLNET_MODE.keys(), label="ControlNet mode", visible=False)
controlnet_image = gr.Image(label="ControlNet image", visible=False)
use_controlnet.change(on_checkbox_change, use_controlnet, [control_strength, controlnet_mode, controlnet_image])
use_ip_adapter = gr.Checkbox(label="Use IPAdapter")
ip_adapter_scale = gr.Slider(
label="IPAdapter scale",
minimum=0,
maximum=1,
step=0.01,
value=0.8,
visible=False
)
ip_adapter_image = gr.Image(label="IPAdapter image", visible=False)
use_ip_adapter.change(on_checkbox_change, use_ip_adapter, [ip_adapter_scale, ip_adapter_image])
seed = gr.Slider(
label="Seed",
minimum=0,
maximum=MAX_SEED,
step=1,
value=42,
)
randomize_seed = gr.Checkbox(label="Randomize seed", value=False)
with gr.Row():
width = gr.Slider(
label="Width",
minimum=256,
maximum=MAX_IMAGE_SIZE,
step=32,
value=1024, # Replace with defaults that work for your model
)
height = gr.Slider(
label="Height",
minimum=256,
maximum=MAX_IMAGE_SIZE,
step=32,
value=1024, # Replace with defaults that work for your model
)
with gr.Row():
guidance_scale = gr.Slider(
label="Guidance scale",
minimum=0.0,
maximum=10.0,
step=0.1,
value=7.0, # Replace with defaults that work for your model
)
num_inference_steps = gr.Slider(
label="Number of inference steps",
minimum=1,
maximum=50,
step=1,
value=20, # Replace with defaults that work for your model
)
gr.Examples(examples=examples, inputs=[prompt])
gr.on(
triggers=[run_button.click, prompt.submit],
fn=infer,
inputs=[
model_id,
prompt,
negative_prompt,
seed,
randomize_seed,
width,
height,
guidance_scale,
num_inference_steps,
use_controlnet,
control_strength,
controlnet_mode,
controlnet_image,
use_ip_adapter,
ip_adapter_scale,
ip_adapter_image
],
outputs=[result, seed],
)
if __name__ == "__main__":
demo.launch(share=True, debug=True)
|