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app.py
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| 1 |
+
import gradio as gr
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| 2 |
+
import torch
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| 3 |
+
import time
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| 4 |
+
import random
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| 5 |
+
import os
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| 6 |
+
from diffusers import StableDiffusionXLPipeline, DPMSolverMultistepScheduler
|
| 7 |
+
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| 8 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 9 |
+
# EDEN REALISM ENGINE β Juggernaut XL v9 + Six Pillars
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| 10 |
+
# Beryl AI Labs / The Eden Project
|
| 11 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 12 |
+
|
| 13 |
+
EDEN_NEGATIVE = """(worst quality:1.8), (low quality:1.8), (airbrushed:1.6), (plastic:1.6), (shiny skin:1.6),
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| 14 |
+
(glossy skin:1.5), (waxy:1.5), (porcelain:1.5), (3d render:1.4), (cgi:1.3), (digital art:1.4),
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| 15 |
+
(bad anatomy:1.5), (deformed:1.6), cartoon, anime, illustration, painting, drawing, sketch,
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| 16 |
+
doll-like, mannequin, beauty filter, over-retouched, dead eyes, silicone skin, rubber skin,
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| 17 |
+
uniform skin tone, missing pores, painted skin texture, photoshop skin, facetune skin,
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| 18 |
+
glossy lips, glowing skin, filtered, beautified, retouched"""
|
| 19 |
+
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| 20 |
+
EDEN_SKIN_BOOST = """natural skin texture, visible pores, vellus hair, subsurface scattering,
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| 21 |
+
skin imperfections, matte skin finish, micro-texture detail, pore-level detail,
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| 22 |
+
natural redness variation, natural sebum balance"""
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| 23 |
+
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| 24 |
+
PRESETS = {
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| 25 |
+
"Maximum Naturalism": {"sampler": "DPM++ SDE Karras", "steps": 50, "cfg": 4.0, "desc": "Most natural skin β DPM++ SDE Karras"},
|
| 26 |
+
"Balanced Quality": {"sampler": "DPM++ 2M Karras", "steps": 40, "cfg": 4.5, "desc": "DEFAULT β best all-round"},
|
| 27 |
+
"Ultra Detail": {"sampler": "DPM++ SDE Karras", "steps": 60, "cfg": 4.5, "desc": "Face close-ups β every pore matters"},
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| 28 |
+
"Portrait": {"sampler": "DPM++ 2M Karras", "steps": 35, "cfg": 4.0, "desc": "Fast portrait β natural skin"},
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| 29 |
+
"Cinematic": {"sampler": "DPM++ 2M Karras", "steps": 45, "cfg": 5.0, "desc": "Film-grade β ARRI/RED look"},
|
| 30 |
+
}
|
| 31 |
+
|
| 32 |
+
RESOLUTIONS = {
|
| 33 |
+
"1024Γ1024 (1:1)": (1024, 1024),
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| 34 |
+
"832Γ1248 (2:3 Portrait)": (832, 1248),
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| 35 |
+
"1248Γ832 (3:2 Landscape)": (1248, 832),
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| 36 |
+
"768Γ1344 (9:16 Phone)": (768, 1344),
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| 37 |
+
"1344Γ768 (16:9 Cinema)": (1344, 768),
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| 38 |
+
"896Γ1152 (7:9)": (896, 1152),
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| 39 |
+
"1152Γ896 (9:7)": (1152, 896),
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| 40 |
+
}
|
| 41 |
+
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| 42 |
+
LIGHTING = {
|
| 43 |
+
"None (manual)": "",
|
| 44 |
+
"Rembrandt": "Rembrandt lighting, triangle of light on shadow-side cheek, warm key at 3200K",
|
| 45 |
+
"Butterfly / Paramount": "butterfly Paramount lighting, light directly above and in front, classic beauty",
|
| 46 |
+
"Golden Hour": "soft golden hour lighting, warm backlight, natural sun flare",
|
| 47 |
+
"Studio Softbox": "professional studio softbox lighting, even illumination, beauty dish",
|
| 48 |
+
"Chiaroscuro": "dramatic chiaroscuro lighting, deep shadows, single hard key light",
|
| 49 |
+
"Neon Noir": "neon-lit environment, cyan and magenta rim lights, noir atmosphere",
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| 50 |
+
"Natural Window": "soft natural window light, diffused daylight, gentle shadows",
|
| 51 |
+
}
|
| 52 |
+
|
| 53 |
+
CAMERAS = {
|
| 54 |
+
"None (manual)": "",
|
| 55 |
+
"ARRI ALEXA 35 85mm f/1.4": "shot on ARRI ALEXA 35 85mm f1.4, shallow depth of field, film grain, Kodak Vision3 500T",
|
| 56 |
+
"RED V-RAPTOR 8K 50mm f/1.8": "shot on RED V-RAPTOR 8K 50mm f1.8, cinematic depth of field",
|
| 57 |
+
"Canon R5 85mm f/1.4": "shot on Canon R5 85mm f1.4, shallow depth of field, photorealistic",
|
| 58 |
+
"Sony Venice 2 35mm anamorphic": "shot on Sony Venice 2 35mm anamorphic, cinematic aspect ratio, lens flare",
|
| 59 |
+
"Hasselblad X2D 90mm f/2.5": "shot on Hasselblad X2D 90mm f2.5, medium format, extraordinary detail",
|
| 60 |
+
}
|
| 61 |
+
|
| 62 |
+
print("Loading Juggernaut XL v9...")
|
| 63 |
+
pipe = StableDiffusionXLPipeline.from_pretrained(
|
| 64 |
+
"RunDiffusion/Juggernaut-XL-v9",
|
| 65 |
+
torch_dtype=torch.float16,
|
| 66 |
+
variant="fp16",
|
| 67 |
+
use_safetensors=True,
|
| 68 |
+
)
|
| 69 |
+
pipe.to("cuda")
|
| 70 |
+
print("Model loaded on GPU.")
|
| 71 |
+
|
| 72 |
+
def set_scheduler(pipe, sampler_name):
|
| 73 |
+
if "SDE" in sampler_name:
|
| 74 |
+
from diffusers import DPMSolverSDEScheduler
|
| 75 |
+
pipe.scheduler = DPMSolverSDEScheduler.from_config(
|
| 76 |
+
pipe.scheduler.config,
|
| 77 |
+
use_karras_sigmas=True,
|
| 78 |
+
noise_sampler_seed=None,
|
| 79 |
+
)
|
| 80 |
+
else:
|
| 81 |
+
pipe.scheduler = DPMSolverMultistepScheduler.from_config(
|
| 82 |
+
pipe.scheduler.config,
|
| 83 |
+
algorithm_type="dpmsolver++",
|
| 84 |
+
solver_order=2,
|
| 85 |
+
use_karras_sigmas=True,
|
| 86 |
+
)
|
| 87 |
+
|
| 88 |
+
def build_prompt(user_prompt, lighting, camera, skin_boost, enhance_realism):
|
| 89 |
+
parts = [user_prompt.strip()]
|
| 90 |
+
if skin_boost:
|
| 91 |
+
parts.append(EDEN_SKIN_BOOST)
|
| 92 |
+
if lighting != "None (manual)" and LIGHTING.get(lighting):
|
| 93 |
+
parts.append(LIGHTING[lighting])
|
| 94 |
+
if camera != "None (manual)" and CAMERAS.get(camera):
|
| 95 |
+
parts.append(CAMERAS[camera])
|
| 96 |
+
if enhance_realism:
|
| 97 |
+
parts.append("photorealistic, 8k, RAW photo, unretouched")
|
| 98 |
+
return ", ".join(parts)
|
| 99 |
+
|
| 100 |
+
def build_negative(user_negative, use_smart_negative):
|
| 101 |
+
if use_smart_negative:
|
| 102 |
+
if user_negative.strip():
|
| 103 |
+
return f"{EDEN_NEGATIVE}, {user_negative.strip()}"
|
| 104 |
+
return EDEN_NEGATIVE
|
| 105 |
+
return user_negative
|
| 106 |
+
|
| 107 |
+
def generate(
|
| 108 |
+
prompt, negative_prompt, preset, resolution,
|
| 109 |
+
lighting, camera, skin_boost, enhance_realism, smart_negative,
|
| 110 |
+
cfg_override, steps_override, seed, use_overrides
|
| 111 |
+
):
|
| 112 |
+
if not prompt.strip():
|
| 113 |
+
return None, "Enter a prompt first."
|
| 114 |
+
|
| 115 |
+
p = PRESETS.get(preset, PRESETS["Balanced Quality"])
|
| 116 |
+
cfg = cfg_override if use_overrides else p["cfg"]
|
| 117 |
+
steps = int(steps_override) if use_overrides else p["steps"]
|
| 118 |
+
sampler = p["sampler"]
|
| 119 |
+
|
| 120 |
+
w, h = RESOLUTIONS.get(resolution, (1024, 1024))
|
| 121 |
+
|
| 122 |
+
set_scheduler(pipe, sampler)
|
| 123 |
+
|
| 124 |
+
full_prompt = build_prompt(prompt, lighting, camera, skin_boost, enhance_realism)
|
| 125 |
+
full_negative = build_negative(negative_prompt, smart_negative)
|
| 126 |
+
|
| 127 |
+
if seed == -1:
|
| 128 |
+
seed = random.randint(0, 2**32 - 1)
|
| 129 |
+
generator = torch.Generator(device="cuda").manual_seed(seed)
|
| 130 |
+
|
| 131 |
+
start = time.time()
|
| 132 |
+
image = pipe(
|
| 133 |
+
prompt=full_prompt,
|
| 134 |
+
negative_prompt=full_negative,
|
| 135 |
+
num_inference_steps=steps,
|
| 136 |
+
guidance_scale=cfg,
|
| 137 |
+
height=h,
|
| 138 |
+
width=w,
|
| 139 |
+
generator=generator,
|
| 140 |
+
).images[0]
|
| 141 |
+
elapsed = time.time() - start
|
| 142 |
+
|
| 143 |
+
info = f"β
{elapsed:.1f}s | {w}Γ{h} | {sampler} | {steps} steps | CFG {cfg} | Seed {seed}"
|
| 144 |
+
return image, info
|
| 145 |
+
|
| 146 |
+
def batch_generate(
|
| 147 |
+
prompts_text, negative_prompt, preset, resolution,
|
| 148 |
+
lighting, camera, skin_boost, enhance_realism, smart_negative,
|
| 149 |
+
cfg_override, steps_override, use_overrides
|
| 150 |
+
):
|
| 151 |
+
prompts = [p.strip() for p in prompts_text.strip().split("\n") if p.strip()]
|
| 152 |
+
if not prompts:
|
| 153 |
+
return [], "Enter at least one prompt (one per line)."
|
| 154 |
+
|
| 155 |
+
images = []
|
| 156 |
+
infos = []
|
| 157 |
+
for i, prompt in enumerate(prompts):
|
| 158 |
+
seed = random.randint(0, 2**32 - 1)
|
| 159 |
+
img, info = generate(
|
| 160 |
+
prompt, negative_prompt, preset, resolution,
|
| 161 |
+
lighting, camera, skin_boost, enhance_realism, smart_negative,
|
| 162 |
+
cfg_override, steps_override, seed, use_overrides
|
| 163 |
+
)
|
| 164 |
+
if img:
|
| 165 |
+
images.append(img)
|
| 166 |
+
infos.append(f"[{i+1}] {info}")
|
| 167 |
+
|
| 168 |
+
return images, "\n".join(infos)
|
| 169 |
+
|
| 170 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 171 |
+
# GRADIO UI
|
| 172 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 173 |
+
|
| 174 |
+
THEME = gr.themes.Base(
|
| 175 |
+
primary_hue=gr.themes.Color(c50="#fdf8e8", c100="#f5e6a3", c200="#d4af37", c300="#c5b358", c400="#b8a040", c500="#8b6914", c600="#6b4f0a", c700="#5a4208", c800="#3a2d18", c900="#1a140a", c950="#0a0604"),
|
| 176 |
+
neutral_hue=gr.themes.Color(c50="#e8dcc8", c100="#c5b99a", c200="#8b7355", c300="#6b5b3d", c400="#3a2d18", c500="#2a1f12", c600="#1a140a", c700="#151008", c800="#0d0906", c900="#0a0604", c950="#050302"),
|
| 177 |
+
font=["Cinzel", "serif"],
|
| 178 |
+
font_mono=["DM Mono", "monospace"],
|
| 179 |
+
)
|
| 180 |
+
|
| 181 |
+
CSS = """
|
| 182 |
+
@import url('https://fonts.googleapis.com/css2?family=Cinzel+Decorative:wght@700&family=Cinzel:wght@500;700&family=DM+Mono&display=swap');
|
| 183 |
+
.gradio-container { background: #050302 !important; }
|
| 184 |
+
footer { display: none !important; }
|
| 185 |
+
.gold-header {
|
| 186 |
+
text-align: center; padding: 20px 0 10px 0;
|
| 187 |
+
background: linear-gradient(135deg, #6b4f0a, #c5b358, #f5e6a3, #d4af37, #c5b358, #6b4f0a);
|
| 188 |
+
-webkit-background-clip: text; -webkit-text-fill-color: transparent;
|
| 189 |
+
font-family: 'Cinzel Decorative', serif; font-size: 28px; font-weight: 700; letter-spacing: 4px;
|
| 190 |
+
}
|
| 191 |
+
.eden-sub { text-align: center; color: #8b7355; font-family: 'Cinzel', serif; font-size: 12px; letter-spacing: 3px; margin-bottom: 16px; }
|
| 192 |
+
"""
|
| 193 |
+
|
| 194 |
+
with gr.Blocks(theme=THEME, css=CSS, title="EDEN Realism Engine") as app:
|
| 195 |
+
gr.HTML("<div class='gold-header'>π± EDEN REALISM ENGINE</div>")
|
| 196 |
+
gr.HTML("<div class='eden-sub'>JUGGERNAUT XL v9 Β· SIX PILLARS OF PHOTOREALISM Β· BERYL AI LABS</div>")
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with gr.Tabs():
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# βββ TAB 1: GENERATE βββ
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with gr.Tab("β‘ Generate"):
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with gr.Row():
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with gr.Column(scale=2):
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prompt = gr.Textbox(label="Prompt", placeholder="Describe your scene β skin keywords auto-boost if enabled...", lines=4)
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negative = gr.Textbox(label="Custom Negative (added to Smart Negative)", placeholder="Optional extra negatives...", lines=2)
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with gr.Row():
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preset = gr.Dropdown(choices=list(PRESETS.keys()), value="Balanced Quality", label="Eden Preset")
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resolution = gr.Dropdown(choices=list(RESOLUTIONS.keys()), value="1024Γ1024 (1:1)", label="Resolution")
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with gr.Row():
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lighting = gr.Dropdown(choices=list(LIGHTING.keys()), value="None (manual)", label="Lighting Setup")
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camera = gr.Dropdown(choices=list(CAMERAS.keys()), value="None (manual)", label="Camera / Lens")
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with gr.Row():
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skin_boost = gr.Checkbox(value=True, label="Skin Detail Boost")
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enhance = gr.Checkbox(value=True, label="Enhance Realism")
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smart_neg = gr.Checkbox(value=True, label="Smart Negative Engine")
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with gr.Accordion("Advanced Overrides", open=False):
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use_overrides = gr.Checkbox(value=False, label="Use Manual Overrides")
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cfg_slider = gr.Slider(1.0, 10.0, value=4.5, step=0.5, label="CFG Scale (Eden Standard: 4.0-4.5)")
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steps_slider = gr.Slider(10, 80, value=40, step=5, label="Steps (Sweet spot: 30-50)")
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seed_input = gr.Number(value=-1, label="Seed (-1 = random)")
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gen_btn = gr.Button("π± GENERATE β EDEN PROTOCOL", variant="primary", size="lg")
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with gr.Column(scale=2):
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output_img = gr.Image(label="Output", type="pil", height=600)
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info_box = gr.Textbox(label="Generation Info", interactive=False)
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gen_btn.click(
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fn=generate,
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inputs=[prompt, negative, preset, resolution, lighting, camera, skin_boost, enhance, smart_neg, cfg_slider, steps_slider, seed_input, use_overrides],
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outputs=[output_img, info_box],
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)
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# βββ TAB 2: BATCH βββ
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with gr.Tab("π¦ Batch Generate"):
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gr.Markdown("### One prompt per line. Walk away β Eden handles the rest.")
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with gr.Row():
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with gr.Column():
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batch_prompts = gr.Textbox(label="Prompts (one per line)", lines=10, placeholder="portrait of a woman in golden hour light\nclose-up beauty shot with Rembrandt lighting\nfull body editorial pose in studio")
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batch_negative = gr.Textbox(label="Shared Negative", lines=2)
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with gr.Row():
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b_preset = gr.Dropdown(choices=list(PRESETS.keys()), value="Balanced Quality", label="Preset")
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b_resolution = gr.Dropdown(choices=list(RESOLUTIONS.keys()), value="832Γ1248 (2:3 Portrait)", label="Resolution")
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with gr.Row():
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b_lighting = gr.Dropdown(choices=list(LIGHTING.keys()), value="None (manual)", label="Lighting")
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b_camera = gr.Dropdown(choices=list(CAMERAS.keys()), value="None (manual)", label="Camera")
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with gr.Row():
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b_skin = gr.Checkbox(value=True, label="Skin Boost")
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b_enhance = gr.Checkbox(value=True, label="Enhance Realism")
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b_smart = gr.Checkbox(value=True, label="Smart Negatives")
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with gr.Accordion("Overrides", open=False):
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b_override = gr.Checkbox(value=False, label="Use Overrides")
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b_cfg = gr.Slider(1.0, 10.0, value=4.5, step=0.5, label="CFG")
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b_steps = gr.Slider(10, 80, value=40, step=5, label="Steps")
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batch_btn = gr.Button("π¦ BATCH GENERATE", variant="primary", size="lg")
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with gr.Column():
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batch_gallery = gr.Gallery(label="Results", columns=2, height=600)
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batch_info = gr.Textbox(label="Batch Info", interactive=False, lines=6)
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batch_btn.click(
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fn=batch_generate,
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inputs=[batch_prompts, batch_negative, b_preset, b_resolution, b_lighting, b_camera, b_skin, b_enhance, b_smart, b_cfg, b_steps, b_override],
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outputs=[batch_gallery, batch_info],
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)
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# βββ TAB 3: REFERENCE βββ
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with gr.Tab("π Eden Protocol"):
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gr.Markdown("""
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## The Six Pillars of Photorealism
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| Pillar | Setting | Eden Standard |
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|--------|---------|--------------|
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| **1. Sampler** | DPM++ 2M Karras | Preserves skin texture with minimal artifacts |
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| **2. Steps** | 30-50 | 40 = sweet spot. 60 for ultra-detail close-ups |
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| **3. CFG Scale** | 4.0-4.5 | NEVER above 7. #1 cause of AI slop |
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| **4. Negatives** | Smart Negative Engine | 11 trigger categories, auto-activated |
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| **5. Resolution** | 1024Γ1024 base | Hires Fix 1.5x at 0.38 denoise |
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| **6. Model** | Uncensored ONLY | Safety classifiers bias against melanin-rich skin |
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## The 0.3 Deviation Rule
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No output drifts more than 0.3 from reference face texture. Pores stay. Freckles stay. Stretch marks stay.
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## Anti-Plastic Formula
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1. CFG at 4.0-4.5 (NEVER above 7)
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2. DPM++ Karras samplers (preserve texture)
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3. Full negative: (plastic:1.6), (shiny skin:1.6), (airbrushed:1.6)
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4. Skin Detail Boosters auto-appended
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5. Hires Fix at 0.38 denoise
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## The Test
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**"Real as Fuck"** β Can you stare at her for 10 minutes and forget she is digital?
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---
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*EDEN ALPHA-26 Β· Beryl AI Labs Β· Built for believers. Forged in panic. Deployed with conviction.*
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""")
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app.queue(max_size=20)
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app.launch(server_name="0.0.0.0", server_port=7860)
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