Spaces:
Running
on
Zero
Running
on
Zero
File size: 8,873 Bytes
5a48378 679db62 5a48378 679db62 5a48378 679db62 5a48378 e2fd487 5a48378 679db62 cd3d5ec 679db62 cd3d5ec 679db62 cd3d5ec 679db62 28f5a39 679db62 5a48378 679db62 5a48378 679db62 5a48378 679db62 5a48378 679db62 5a48378 679db62 5a48378 679db62 5a48378 679db62 5a48378 679db62 5a48378 679db62 5a48378 679db62 5a48378 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 |
import spaces
import os
import json
import time
import torch
from PIL import Image
from tqdm import tqdm
import gradio as gr
from safetensors.torch import save_file
from src.pipeline import FluxPipeline
from src.transformer_flux import FluxTransformer2DModel
from src.lora_helper import set_single_lora, set_multi_lora, unset_lora
# Initialize the image processor
base_path = "black-forest-labs/FLUX.1-dev"
lora_base_path = "./models"
# System prompt that will be hidden from users but automatically added to their input
SYSTEM_PROMPT = "Ghibli Studio style, Charming hand-drawn anime-style illustration"
pipe = FluxPipeline.from_pretrained(base_path, torch_dtype=torch.bfloat16)
transformer = FluxTransformer2DModel.from_pretrained(base_path, subfolder="transformer", torch_dtype=torch.bfloat16)
pipe.transformer = transformer
pipe.to("cuda")
def clear_cache(transformer):
for name, attn_processor in transformer.attn_processors.items():
attn_processor.bank_kv.clear()
# Define the Gradio interface
@spaces.GPU()
def single_condition_generate_image(user_prompt, spatial_img, height, width, seed):
# Combine the system prompt with user prompt
full_prompt = f"{SYSTEM_PROMPT}, {user_prompt}" if user_prompt else SYSTEM_PROMPT
# Set the Ghibli LoRA
lora_path = os.path.join(lora_base_path, "Ghibli.safetensors")
set_single_lora(pipe.transformer, lora_path, lora_weights=[1], cond_size=512)
# Process the image
spatial_imgs = [spatial_img] if spatial_img else []
image = pipe(
full_prompt,
height=int(height),
width=int(width),
guidance_scale=3.5,
num_inference_steps=25,
max_sequence_length=512,
generator=torch.Generator("cpu").manual_seed(seed),
subject_images=[],
spatial_images=spatial_imgs,
cond_size=512,
).images[0]
clear_cache(pipe.transformer)
return image
# Load example images
def load_examples():
examples = []
test_img_dir = "./test_imgs"
example_prompts = [
"a magical forest with spirits",
"a flying castle in the clouds",
"a bustling market in a small town"
]
for i, filename in enumerate(["00.png", "02.png", "03.png", "04.png", "06.png", "07.png", "08.png", "09.png"]):
img_path = os.path.join(test_img_dir, filename)
if os.path.exists(img_path):
# Use dimensions from original code for each specific example
if filename == "00.jpg":
height, width = 680, 1024
elif filename == "02.jpg":
height, width = 560, 1024
elif filename == "03.jpg":
height, width = 568, 1024
else:
height, width = 768, 768
examples.append([
example_prompts[i % len(example_prompts)], # User prompt (without system prompt)
Image.open(img_path), # Reference image
height, # Height
width, # Width
i + 1 # Seed
])
return examples
# CSS for improved UI
css = """
:root {
--primary-color: #4a6670;
--accent-color: #ff8a65;
--background-color: #f5f5f5;
--card-background: #ffffff;
--text-color: #333333;
--border-radius: 10px;
--shadow: 0 4px 6px rgba(0,0,0,0.1);
}
body {
background-color: var(--background-color);
color: var(--text-color);
font-family: 'Helvetica Neue', Arial, sans-serif;
}
.container {
max-width: 1200px;
margin: 0 auto;
padding: 20px;
}
.gr-header {
background: linear-gradient(135deg, #668796 0%, #4a6670 100%);
padding: 24px;
border-radius: var(--border-radius);
margin-bottom: 24px;
box-shadow: var(--shadow);
text-align: center;
}
.gr-header h1 {
color: white;
font-size: 2.5rem;
margin: 0;
font-weight: 700;
}
.gr-header p {
color: rgba(255, 255, 255, 0.9);
font-size: 1.1rem;
margin-top: 8px;
}
.gr-panel {
background-color: var(--card-background);
border-radius: var(--border-radius);
padding: 16px;
box-shadow: var(--shadow);
}
.gr-button {
background-color: var(--accent-color);
border: none;
color: white;
padding: 10px 20px;
border-radius: 5px;
font-size: 16px;
font-weight: bold;
cursor: pointer;
transition: transform 0.1s, background-color 0.3s;
}
.gr-button:hover {
background-color: #ff7043;
transform: translateY(-2px);
}
.gr-input, .gr-select {
border-radius: 5px;
border: 1px solid #ddd;
padding: 10px;
width: 100%;
}
.gr-form {
display: grid;
gap: 16px;
}
.gr-box {
background-color: var(--card-background);
border-radius: var(--border-radius);
padding: 20px;
box-shadow: var(--shadow);
margin-bottom: 20px;
}
.gr-gallery {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
gap: 16px;
}
.gr-gallery-item {
overflow: hidden;
border-radius: var(--border-radius);
box-shadow: var(--shadow);
transition: transform 0.3s;
}
.gr-gallery-item:hover {
transform: scale(1.02);
}
.gr-image {
width: 100%;
height: auto;
object-fit: cover;
}
.gr-footer {
text-align: center;
margin-top: 40px;
padding: 20px;
color: #666;
font-size: 14px;
}
.gr-examples-gallery {
margin-top: 20px;
}
/* Responsive adjustments */
@media (max-width: 768px) {
.gr-header h1 {
font-size: 1.8rem;
}
.gr-panel {
padding: 12px;
}
}
/* Ghibli-inspired accent colors */
.gr-accent-1 {
background-color: #95ccd9;
}
.gr-accent-2 {
background-color: #74ad8c;
}
.gr-accent-3 {
background-color: #f9c06b;
}
"""
# Create the Gradio Blocks interface
with gr.Blocks(css=css) as demo:
gr.HTML("""
<div class="gr-header">
<h1>✨ Ghibli Art Generator ✨</h1>
<p>Transform your ideas into magical Ghibli-inspired artwork</p>
</div>
""")
with gr.Tab("Create Ghibli Art"):
with gr.Row():
with gr.Column(scale=1):
gr.HTML("""
<div class="gr-box">
<h3>🎨 Your Creative Input</h3>
<p>Describe what you want to see in your Ghibli-inspired image</p>
</div>
""")
user_prompt = gr.Textbox(
label="Your description",
placeholder="Describe what you want to see (e.g., a cat sitting by the window)",
lines=2
)
spatial_img = gr.Image(
label="Reference Image (Optional)",
type="pil",
elem_classes="gr-image-upload"
)
with gr.Group():
with gr.Row():
height = gr.Slider(minimum=256, maximum=1024, step=64, label="Height", value=768)
width = gr.Slider(minimum=256, maximum=1024, step=64, label="Width", value=768)
seed = gr.Slider(minimum=1, maximum=9999, step=1, label="Seed", value=42,
info="Change for different variations")
generate_btn = gr.Button("✨ Generate Ghibli Art", elem_classes="gr-button")
with gr.Column(scale=1):
gr.HTML("""
<div class="gr-box">
<h3>✨ Your Magical Creation</h3>
<p>Your Ghibli-inspired artwork will appear here</p>
</div>
""")
output_image = gr.Image(label="Generated Image", elem_classes="gr-output-image")
gr.HTML("""
<div class="gr-box gr-examples-gallery">
<h3>✨ Inspiration Gallery</h3>
<p>Click on any example to try it out</p>
</div>
""")
# Add examples
examples = load_examples()
gr.Examples(
examples=examples,
inputs=[user_prompt, spatial_img, height, width, seed],
outputs=output_image,
fn=single_condition_generate_image,
cache_examples=False,
examples_per_page=4
)
gr.HTML("""
<div class="gr-footer">
<p>Powered by FLUX.1 and Ghibli LoRA • Created with ❤️</p>
</div>
""")
# Link the button to the function
generate_btn.click(
single_condition_generate_image,
inputs=[user_prompt, spatial_img, height, width, seed],
outputs=output_image
)
# Launch the Gradio app
demo.queue().launch() |