Spaces:
Running on Zero
Running on Zero
Upload 18 files
Browse files- .gitattributes +8 -0
- app.py +561 -0
- examples/background_image/1.png +3 -0
- examples/background_image/2.png +3 -0
- examples/background_image/3.png +3 -0
- examples/background_image/4.png +3 -0
- examples/insert_mask/1.png +0 -0
- examples/insert_mask/2.png +0 -0
- examples/insert_mask/3.png +0 -0
- examples/insert_mask/4.png +0 -0
- examples/ref_image/1.png +3 -0
- examples/ref_image/2.png +3 -0
- examples/ref_image/3.png +3 -0
- examples/ref_image/4.png +3 -0
- examples/ref_mask/1.png +0 -0
- examples/ref_mask/2.png +0 -0
- examples/ref_mask/3.png +0 -0
- examples/ref_mask/4.png +0 -0
- requirements.txt +10 -0
.gitattributes
CHANGED
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@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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examples/background_image/1.png filter=lfs diff=lfs merge=lfs -text
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examples/background_image/2.png filter=lfs diff=lfs merge=lfs -text
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examples/background_image/3.png filter=lfs diff=lfs merge=lfs -text
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examples/background_image/4.png filter=lfs diff=lfs merge=lfs -text
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examples/ref_image/1.png filter=lfs diff=lfs merge=lfs -text
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examples/ref_image/2.png filter=lfs diff=lfs merge=lfs -text
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examples/ref_image/3.png filter=lfs diff=lfs merge=lfs -text
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examples/ref_image/4.png filter=lfs diff=lfs merge=lfs -text
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app.py
ADDED
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@@ -0,0 +1,561 @@
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| 1 |
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import base64
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| 2 |
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from io import BytesIO
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| 3 |
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| 4 |
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import gradio as gr
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| 5 |
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import torch
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| 6 |
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from PIL import Image, ImageChops
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| 7 |
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import spaces
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| 8 |
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from diffsynth.pipelines.flux2_image import Flux2ImagePipeline, ModelConfig
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| 9 |
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| 10 |
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from utils import process_source, process_reference, paste_back, binarize_mask
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| 11 |
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pipe = Flux2ImagePipeline.from_pretrained(
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torch_dtype=torch.bfloat16,
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+
device="cuda",
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+
model_configs=[
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ModelConfig(model_id="black-forest-labs/FLUX.2-klein-base-4B", origin_file_pattern="text_encoder/*.safetensors"),
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ModelConfig(model_id="black-forest-labs/FLUX.2-klein-base-4B", origin_file_pattern="transformer/*.safetensors"),
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ModelConfig(model_id="black-forest-labs/FLUX.2-klein-base-4B", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
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],
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tokenizer_config=ModelConfig(model_id="black-forest-labs/FLUX.2-klein-base-4B", origin_file_pattern="tokenizer/"),
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)
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pipe.load_lora(pipe.dit, ModelConfig(model_id="HuanJue/Easy-Insert", origin_file_pattern="easy-insert.safetensors"))
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PROMPT = "Replace the white mask of image1 with the content in image2. Preserving the background, lighting, and surrounding elements, maintain a seamless and natural result."
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+
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# ===================== Example Data =====================
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| 29 |
+
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CANVAS_W, CANVAS_H = 1024, 1024
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EXAMPLES = [
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("examples/background_image/1.png", "examples/insert_mask/1.png", "examples/ref_image/1.png", "examples/ref_mask/1.png"),
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| 34 |
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("examples/background_image/2.png", "examples/insert_mask/2.png", "examples/ref_image/2.png", "examples/ref_mask/2.png"),
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| 35 |
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("examples/background_image/3.png", "examples/insert_mask/3.png", "examples/ref_image/3.png", "examples/ref_mask/3.png"),
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| 36 |
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("examples/background_image/4.png", "examples/insert_mask/4.png", "examples/ref_image/4.png", "examples/ref_mask/4.png"),
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| 37 |
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]
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| 38 |
+
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| 39 |
+
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| 40 |
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# ===================== Thumbnail HTML Generation =====================
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| 41 |
+
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| 42 |
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def img_to_b64(path, size=(240, 240)):
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| 43 |
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img = Image.open(path).convert("RGB")
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| 44 |
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# Preserve the original aspect ratio; fit inside `size`. 2x the display
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| 45 |
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# width (110 CSS px) so thumbnails stay sharp on HiDPI screens.
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| 46 |
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img.thumbnail(size, Image.LANCZOS)
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| 47 |
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buf = BytesIO()
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| 48 |
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img.save(buf, format="PNG")
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| 49 |
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return base64.b64encode(buf.getvalue()).decode()
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| 50 |
+
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| 51 |
+
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| 52 |
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def build_examples_html():
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| 53 |
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row_pairs = [EXAMPLES[0:2], EXAMPLES[2:4]]
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| 54 |
+
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| 55 |
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html = '<div class="ex-grid">'
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| 56 |
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for row_idx, row_examples in enumerate(row_pairs):
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| 57 |
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html += '<div class="ex-grid-row">'
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| 58 |
+
for col_idx, (bg, mask, ref, ref_mask) in enumerate(row_examples):
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| 59 |
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i = row_idx * 2 + col_idx
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| 60 |
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bg_b64 = img_to_b64(bg)
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| 61 |
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mask_b64 = img_to_b64(mask)
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| 62 |
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ref_b64 = img_to_b64(ref)
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| 63 |
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ref_mask_b64 = img_to_b64(ref_mask)
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| 64 |
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html += f'''
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| 65 |
+
<div class="ex-row" onclick="(function(){{var el=document.getElementById('ex_btn_{i}');if(!el)return;var btn=el.querySelector('button')||el;btn.dispatchEvent(new MouseEvent('click',{{bubbles:true,cancelable:true}}));}})()">
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| 66 |
+
<div class="ex-label">Example {i + 1}</div>
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| 67 |
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<div class="ex-thumbs">
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| 68 |
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<div class="ex-thumb-wrap">
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| 69 |
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<img src="data:image/png;base64,{bg_b64}" class="ex-thumb" draggable="false"/>
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| 70 |
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<span class="ex-thumb-sublabel">Background</span>
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| 71 |
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</div>
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| 72 |
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<div class="ex-thumb-wrap">
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| 73 |
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<img src="data:image/png;base64,{mask_b64}" class="ex-thumb" draggable="false"/>
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| 74 |
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<span class="ex-thumb-sublabel">Mask</span>
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| 75 |
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</div>
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| 76 |
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<div class="ex-thumb-wrap">
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| 77 |
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<img src="data:image/png;base64,{ref_b64}" class="ex-thumb" draggable="false"/>
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| 78 |
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<span class="ex-thumb-sublabel">Reference</span>
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| 79 |
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</div>
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| 80 |
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<div class="ex-thumb-wrap">
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| 81 |
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<img src="data:image/png;base64,{ref_mask_b64}" class="ex-thumb" draggable="false"/>
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| 82 |
+
<span class="ex-thumb-sublabel">Ref Mask</span>
|
| 83 |
+
</div>
|
| 84 |
+
</div>
|
| 85 |
+
</div>
|
| 86 |
+
'''
|
| 87 |
+
html += '</div>'
|
| 88 |
+
html += '</div>'
|
| 89 |
+
return html
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
# ===================== Utility Functions =====================
|
| 93 |
+
|
| 94 |
+
def extract_mask_from_layers(layers, target_size):
|
| 95 |
+
mask = Image.new("L", target_size, 0)
|
| 96 |
+
for layer in layers:
|
| 97 |
+
if layer is not None:
|
| 98 |
+
layer_rgba = layer.convert("RGBA").resize(target_size)
|
| 99 |
+
alpha = layer_rgba.split()[3]
|
| 100 |
+
alpha_binary = alpha.point(lambda x: 255 if x > 0 else 0)
|
| 101 |
+
mask = Image.composite(Image.new("L", target_size, 255), mask, alpha_binary)
|
| 102 |
+
return mask
|
| 103 |
+
|
| 104 |
+
|
| 105 |
+
EDITOR_SIZE = 800
|
| 106 |
+
# Matches Gradio light-mode image editor background so padded examples blend in.
|
| 107 |
+
EDITOR_BG_COLOR = (243, 244, 246)
|
| 108 |
+
|
| 109 |
+
|
| 110 |
+
def fit_transform(img, editor_size=EDITOR_SIZE):
|
| 111 |
+
"""Display transform the fixed-canvas editor applies to `img`: scale to fit
|
| 112 |
+
inside the square canvas, then center-pad. Returns (disp_size, pad)."""
|
| 113 |
+
scale = min(editor_size / img.width, editor_size / img.height, 1.0)
|
| 114 |
+
disp_size = (
|
| 115 |
+
max(1, round(img.width * scale)),
|
| 116 |
+
max(1, round(img.height * scale)),
|
| 117 |
+
)
|
| 118 |
+
pad = (
|
| 119 |
+
(editor_size - disp_size[0]) // 2,
|
| 120 |
+
(editor_size - disp_size[1]) // 2,
|
| 121 |
+
)
|
| 122 |
+
return disp_size, pad
|
| 123 |
+
|
| 124 |
+
|
| 125 |
+
def build_display_bg(bg, editor_size=EDITOR_SIZE):
|
| 126 |
+
"""Rebuild the padded square background the editor shows for `bg`."""
|
| 127 |
+
disp_size, pad = fit_transform(bg, editor_size)
|
| 128 |
+
canvas = Image.new("RGB", (editor_size, editor_size), EDITOR_BG_COLOR)
|
| 129 |
+
canvas.paste(bg.convert("RGB").resize(disp_size, Image.LANCZOS), pad)
|
| 130 |
+
return canvas
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
def images_close(a, b, tol_frac=0.001):
|
| 134 |
+
"""True if two RGB images are (nearly) pixel-identical."""
|
| 135 |
+
if a.size != b.size:
|
| 136 |
+
return False
|
| 137 |
+
diff = ImageChops.difference(a.convert("RGB"), b.convert("RGB"))
|
| 138 |
+
changed = sum(diff.histogram()[1:])
|
| 139 |
+
return changed <= tol_frac * a.size[0] * a.size[1] * 3
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
def make_editor_value(bg_pil, mask_pil=None, editor_size=EDITOR_SIZE):
|
| 143 |
+
"""Build an ImageEditor value on a fixed square canvas.
|
| 144 |
+
|
| 145 |
+
The background is downscaled to fit inside `editor_size` and padded to a
|
| 146 |
+
square; the mask is padded the same way and sent as a real layer. This
|
| 147 |
+
keeps the mask and background perfectly aligned in the frontend (both are
|
| 148 |
+
800x800 and the padding is identical), while the full-resolution image and
|
| 149 |
+
exact mask are kept in gr.State for inference.
|
| 150 |
+
|
| 151 |
+
Returns (editor_value, sent_mask, transform).
|
| 152 |
+
"""
|
| 153 |
+
bg = bg_pil.convert("RGB")
|
| 154 |
+
disp_size, pad = fit_transform(bg, editor_size)
|
| 155 |
+
bg_sq = build_display_bg(bg, editor_size)
|
| 156 |
+
|
| 157 |
+
transform = {
|
| 158 |
+
"editor_size": editor_size,
|
| 159 |
+
"disp_size": disp_size,
|
| 160 |
+
"pad": pad,
|
| 161 |
+
}
|
| 162 |
+
|
| 163 |
+
if mask_pil is None:
|
| 164 |
+
# composite=None avoids saving a second, redundant image file. The editor
|
| 165 |
+
# can render the background directly; if it needs a composite it will build
|
| 166 |
+
# it from background + (empty) layers.
|
| 167 |
+
return {"background": bg_sq, "layers": [], "composite": None}, None, transform
|
| 168 |
+
|
| 169 |
+
mask = mask_pil.convert("L").resize(disp_size, Image.NEAREST)
|
| 170 |
+
mask_sq = Image.new("L", (editor_size, editor_size), 0)
|
| 171 |
+
mask_sq.paste(mask, pad)
|
| 172 |
+
|
| 173 |
+
transparent = Image.new("RGBA", (editor_size, editor_size), (0, 0, 0, 0))
|
| 174 |
+
# Semi-transparent white (alpha 153 ≈ 60%) so the background shows through
|
| 175 |
+
# the loaded mask. Mask extraction binarizes alpha > 0, so this still
|
| 176 |
+
# resolves to a solid mask at inference time.
|
| 177 |
+
white_solid = Image.new("RGBA", (editor_size, editor_size), (255, 255, 255, 153))
|
| 178 |
+
mask_layer = Image.composite(white_solid, transparent, mask_sq)
|
| 179 |
+
|
| 180 |
+
return {"background": bg_sq, "layers": [mask_layer], "composite": None}, mask_sq, transform
|
| 181 |
+
|
| 182 |
+
|
| 183 |
+
def masks_close(a, b, tol_frac=0.0):
|
| 184 |
+
"""True if two binarized masks are pixel-identical (within tol_frac).
|
| 185 |
+
The fixed-canvas PNG round-trip is exact, so we treat any non-zero
|
| 186 |
+
difference as a real user edit."""
|
| 187 |
+
if a.size != b.size:
|
| 188 |
+
b = b.resize(a.size, Image.NEAREST)
|
| 189 |
+
diff = ImageChops.difference(binarize_mask(a), binarize_mask(b))
|
| 190 |
+
changed = sum(diff.histogram()[1:])
|
| 191 |
+
return changed <= tol_frac * a.size[0] * a.size[1]
|
| 192 |
+
|
| 193 |
+
|
| 194 |
+
def load_example(idx):
|
| 195 |
+
bg_path, mask_path, ref_path, ref_mask_path = EXAMPLES[idx]
|
| 196 |
+
bg_img = Image.open(bg_path).convert("RGB")
|
| 197 |
+
ref_img = Image.open(ref_path).convert("RGB")
|
| 198 |
+
base_val, base_sent, base_transform = make_editor_value(
|
| 199 |
+
bg_img, Image.open(mask_path)
|
| 200 |
+
)
|
| 201 |
+
ref_val, ref_sent, ref_transform = make_editor_value(
|
| 202 |
+
ref_img, Image.open(ref_mask_path)
|
| 203 |
+
)
|
| 204 |
+
# Keep the pristine full-res image + exact mask in State. The editor value
|
| 205 |
+
# is only for display; its small size avoids slow frontend re-uploads.
|
| 206 |
+
base_state = (bg_img, Image.open(mask_path).convert("L"), base_sent, base_transform)
|
| 207 |
+
ref_state = (ref_img, Image.open(ref_mask_path).convert("L"), ref_sent, ref_transform)
|
| 208 |
+
return base_val, ref_val, base_state, ref_state
|
| 209 |
+
|
| 210 |
+
|
| 211 |
+
def load_ex1():
|
| 212 |
+
return load_example(0)
|
| 213 |
+
|
| 214 |
+
def load_ex2():
|
| 215 |
+
return load_example(1)
|
| 216 |
+
|
| 217 |
+
def load_ex3():
|
| 218 |
+
return load_example(2)
|
| 219 |
+
|
| 220 |
+
def load_ex4():
|
| 221 |
+
return load_example(3)
|
| 222 |
+
|
| 223 |
+
|
| 224 |
+
# ===================== Generation Function =====================
|
| 225 |
+
|
| 226 |
+
def resolve_source(editor_value, state):
|
| 227 |
+
"""Return (full_res_image, full_res_mask) for one editor.
|
| 228 |
+
|
| 229 |
+
`state` is (image, mask, sent_mask, transform) captured when an example was
|
| 230 |
+
loaded. The editor value's background is display-only, so we don't trust it
|
| 231 |
+
blindly: rebuild the padded display image from the state's pristine image
|
| 232 |
+
and compare it with what the editor currently shows. If they match, the
|
| 233 |
+
example is still loaded and the state's full-res image (+ exact mask) is
|
| 234 |
+
used. If they differ, the user uploaded a different image - the editor
|
| 235 |
+
background is then the full-res original, and the brush strokes are mapped
|
| 236 |
+
back through the fixed-canvas transform.
|
| 237 |
+
"""
|
| 238 |
+
bg_ed = editor_value.get("background")
|
| 239 |
+
if bg_ed is None:
|
| 240 |
+
return None, None
|
| 241 |
+
img_ed = bg_ed.convert("RGB")
|
| 242 |
+
|
| 243 |
+
ed_mask = extract_mask_from_layers(
|
| 244 |
+
editor_value.get("layers", []), (EDITOR_SIZE, EDITOR_SIZE)
|
| 245 |
+
)
|
| 246 |
+
|
| 247 |
+
if state is not None:
|
| 248 |
+
img, full_mask, sent_mask, transform = state
|
| 249 |
+
img = img.convert("RGB")
|
| 250 |
+
if images_close(img_ed, build_display_bg(img)):
|
| 251 |
+
if full_mask is not None:
|
| 252 |
+
# Example flow: exact full-res mask is in state. If the editor's
|
| 253 |
+
# layer mask still matches what we sent (user hasn't brushed or
|
| 254 |
+
# erased), use the state mask directly - bit-exact with inference.py.
|
| 255 |
+
if sent_mask is not None and masks_close(ed_mask, sent_mask):
|
| 256 |
+
return img, binarize_mask(full_mask)
|
| 257 |
+
# User edited the example's mask (erased and/or brushed): crop the
|
| 258 |
+
# padding and map the edited mask back to the original resolution.
|
| 259 |
+
if transform:
|
| 260 |
+
ed_mask_bin = binarize_mask(ed_mask)
|
| 261 |
+
px, py = transform["pad"]
|
| 262 |
+
dw, dh = transform["disp_size"]
|
| 263 |
+
cropped = ed_mask_bin.crop((px, py, px + dw, py + dh))
|
| 264 |
+
return img, binarize_mask(cropped.resize(img.size, Image.NEAREST))
|
| 265 |
+
|
| 266 |
+
# Upload flow: the editor background is the user's full-res original.
|
| 267 |
+
disp_size, pad = fit_transform(img_ed)
|
| 268 |
+
ed_mask_bin = binarize_mask(ed_mask)
|
| 269 |
+
cropped = ed_mask_bin.crop((pad[0], pad[1], pad[0] + disp_size[0], pad[1] + disp_size[1]))
|
| 270 |
+
return img_ed, binarize_mask(cropped.resize(img_ed.size, Image.NEAREST))
|
| 271 |
+
|
| 272 |
+
@spaces.GPU
|
| 273 |
+
def run_local(base, ref, base_state, ref_state, seed, num_inference_steps, cfg_scale):
|
| 274 |
+
if base is None or ref is None or not isinstance(base, dict) or not isinstance(ref, dict):
|
| 275 |
+
return None, gr.update(visible=False)
|
| 276 |
+
|
| 277 |
+
pil_bg, pil_mask = resolve_source(base, base_state)
|
| 278 |
+
pil_ref, pil_ref_mask = resolve_source(ref, ref_state)
|
| 279 |
+
if pil_bg is None or pil_ref is None:
|
| 280 |
+
return None, gr.update(visible=False)
|
| 281 |
+
|
| 282 |
+
if pil_mask.getextrema() == (0, 0) or pil_ref_mask.getextrema() == (0, 0):
|
| 283 |
+
error_html = """
|
| 284 |
+
<div class="error-overlay" style="
|
| 285 |
+
position: fixed; top: 0; left: 0; width: 100%; height: 100%;
|
| 286 |
+
background: rgba(0,0,0,0.5); display: flex; justify-content: center;
|
| 287 |
+
align-items: center; z-index: 9999;
|
| 288 |
+
">
|
| 289 |
+
<div style="
|
| 290 |
+
background: white; padding: 30px; border-radius: 10px;
|
| 291 |
+
text-align: center; font-size: 18px; box-shadow: 0 0 15px rgba(0,0,0,0.3);
|
| 292 |
+
">
|
| 293 |
+
<p style="color: red; margin-bottom: 20px;">
|
| 294 |
+
⚠️ Please paint a mask on both the background image and the reference image first, or click an example!
|
| 295 |
+
</p>
|
| 296 |
+
<button onclick="this.closest('.error-overlay').remove()"
|
| 297 |
+
style="padding: 8px 20px; cursor: pointer; border: none;
|
| 298 |
+
background: #eee; border-radius: 5px;">
|
| 299 |
+
OK
|
| 300 |
+
</button>
|
| 301 |
+
</div>
|
| 302 |
+
</div>
|
| 303 |
+
"""
|
| 304 |
+
return None, gr.update(value=error_html, visible=True)
|
| 305 |
+
|
| 306 |
+
background_image, _, crop_box, source_mask_cropped = process_source(pil_bg, pil_mask, CANVAS_W)
|
| 307 |
+
ref_image = process_reference(pil_ref, pil_ref_mask, CANVAS_W)
|
| 308 |
+
|
| 309 |
+
generated_image = pipe(
|
| 310 |
+
PROMPT,
|
| 311 |
+
edit_image=[background_image, ref_image],
|
| 312 |
+
seed=int(seed),
|
| 313 |
+
rand_device="cuda",
|
| 314 |
+
num_inference_steps=int(num_inference_steps),
|
| 315 |
+
cfg_scale=float(cfg_scale),
|
| 316 |
+
height=CANVAS_W,
|
| 317 |
+
width=CANVAS_H,
|
| 318 |
+
)
|
| 319 |
+
result_img = paste_back(generated_image, pil_bg, crop_box, source_mask_cropped, feather=0)
|
| 320 |
+
|
| 321 |
+
return result_img, gr.update(visible=False)
|
| 322 |
+
|
| 323 |
+
|
| 324 |
+
# ===================== Gradio UI =====================
|
| 325 |
+
|
| 326 |
+
with gr.Blocks(css="""
|
| 327 |
+
.input-row {
|
| 328 |
+
overflow: visible !important;
|
| 329 |
+
}
|
| 330 |
+
|
| 331 |
+
.input-row .gr-image-editor {
|
| 332 |
+
overflow: hidden !important;
|
| 333 |
+
}
|
| 334 |
+
.input-row .gr-image-editor .image-container,
|
| 335 |
+
.input-row .gr-image-editor .canvas-container,
|
| 336 |
+
.input-row .gr-image-editor canvas {
|
| 337 |
+
max-width: 100% !important;
|
| 338 |
+
max-height: 100% !important;
|
| 339 |
+
object-fit: contain !important;
|
| 340 |
+
}
|
| 341 |
+
|
| 342 |
+
.ex-section-header {
|
| 343 |
+
display: flex;
|
| 344 |
+
align-items: center;
|
| 345 |
+
gap: 10px;
|
| 346 |
+
margin: 28px 0 14px 0;
|
| 347 |
+
justify-content: center;
|
| 348 |
+
}
|
| 349 |
+
.ex-section-header::before {
|
| 350 |
+
content: '';
|
| 351 |
+
flex: 1;
|
| 352 |
+
height: 1px;
|
| 353 |
+
max-width: 180px;
|
| 354 |
+
background: #e5e7eb;
|
| 355 |
+
}
|
| 356 |
+
.ex-section-header::after {
|
| 357 |
+
content: '';
|
| 358 |
+
flex: 1;
|
| 359 |
+
height: 1px;
|
| 360 |
+
max-width: 180px;
|
| 361 |
+
background: #e5e7eb;
|
| 362 |
+
}
|
| 363 |
+
|
| 364 |
+
.ex-container {
|
| 365 |
+
display: flex;
|
| 366 |
+
flex-direction: column;
|
| 367 |
+
align-items: center;
|
| 368 |
+
padding-bottom: 20px;
|
| 369 |
+
}
|
| 370 |
+
|
| 371 |
+
.ex-grid {
|
| 372 |
+
display: flex;
|
| 373 |
+
flex-direction: column;
|
| 374 |
+
align-items: center;
|
| 375 |
+
gap: 12px;
|
| 376 |
+
padding-bottom: 20px;
|
| 377 |
+
}
|
| 378 |
+
.ex-grid-row {
|
| 379 |
+
display: flex;
|
| 380 |
+
gap: 20px;
|
| 381 |
+
justify-content: center;
|
| 382 |
+
flex-wrap: wrap;
|
| 383 |
+
}
|
| 384 |
+
|
| 385 |
+
.ex-row {
|
| 386 |
+
display: flex;
|
| 387 |
+
align-items: center;
|
| 388 |
+
gap: 20px;
|
| 389 |
+
padding: 14px 28px;
|
| 390 |
+
border: 2px solid #e5e7eb;
|
| 391 |
+
border-radius: 12px;
|
| 392 |
+
cursor: pointer;
|
| 393 |
+
transition: all 0.25s ease;
|
| 394 |
+
background: #ffffff;
|
| 395 |
+
user-select: none;
|
| 396 |
+
width: fit-content;
|
| 397 |
+
}
|
| 398 |
+
.ex-row:hover {
|
| 399 |
+
border-color: #3b82f6;
|
| 400 |
+
background: #f0f7ff;
|
| 401 |
+
box-shadow: 0 4px 18px rgba(59, 130, 246, 0.15);
|
| 402 |
+
transform: translateY(-2px);
|
| 403 |
+
}
|
| 404 |
+
.ex-row:active {
|
| 405 |
+
transform: translateY(0);
|
| 406 |
+
box-shadow: 0 2px 8px rgba(59, 130, 246, 0.2);
|
| 407 |
+
}
|
| 408 |
+
|
| 409 |
+
.ex-label {
|
| 410 |
+
font-weight: 700;
|
| 411 |
+
font-size: 15px;
|
| 412 |
+
min-width: 62px;
|
| 413 |
+
color: #1e40af;
|
| 414 |
+
letter-spacing: 0.02em;
|
| 415 |
+
}
|
| 416 |
+
|
| 417 |
+
.ex-thumbs {
|
| 418 |
+
display: flex;
|
| 419 |
+
gap: 14px;
|
| 420 |
+
}
|
| 421 |
+
|
| 422 |
+
.ex-thumb-wrap {
|
| 423 |
+
display: flex;
|
| 424 |
+
flex-direction: column;
|
| 425 |
+
align-items: center;
|
| 426 |
+
gap: 6px;
|
| 427 |
+
}
|
| 428 |
+
|
| 429 |
+
.ex-thumb {
|
| 430 |
+
width: 110px;
|
| 431 |
+
height: auto;
|
| 432 |
+
object-fit: contain;
|
| 433 |
+
border-radius: 8px;
|
| 434 |
+
border: 2px solid #e5e7eb;
|
| 435 |
+
transition: all 0.25s ease;
|
| 436 |
+
pointer-events: none;
|
| 437 |
+
}
|
| 438 |
+
.ex-row:hover .ex-thumb {
|
| 439 |
+
border-color: #93c5fd;
|
| 440 |
+
}
|
| 441 |
+
|
| 442 |
+
.ex-thumb-sublabel {
|
| 443 |
+
font-size: 12px;
|
| 444 |
+
color: #6b7280;
|
| 445 |
+
font-weight: 500;
|
| 446 |
+
}
|
| 447 |
+
|
| 448 |
+
/* Gradio >=5 does not mount components with visible=False into the DOM,
|
| 449 |
+
so the example-thumbnail JS cannot find them. Hide via CSS instead:
|
| 450 |
+
the buttons stay mounted (click handlers still fire) but invisible. */
|
| 451 |
+
.ex-hidden-btn {
|
| 452 |
+
display: none !important;
|
| 453 |
+
}
|
| 454 |
+
""") as demo:
|
| 455 |
+
|
| 456 |
+
gr.Markdown(
|
| 457 |
+
"<h1 style='text-align: center;'>Reference-Based Object Insertion & Clothing Replacement</h1>"
|
| 458 |
+
"<h3 style='text-align: center;'>Insert an object from the reference image into the masked region of the background image, or replace the clothing in the masked region with the reference</h3>"
|
| 459 |
+
"<p style='text-align: center;'>"
|
| 460 |
+
"<a href='https://github.com/huan-yin/Easy-Insert' target='_blank' "
|
| 461 |
+
"style='color: #3b82f6; text-decoration: none; font-weight: 500;'>"
|
| 462 |
+
"GitHub Repo: huan-yin/Easy-Insert</a></p>"
|
| 463 |
+
)
|
| 464 |
+
gr.Markdown(
|
| 465 |
+
"""
|
| 466 |
+
**Instructions:**
|
| 467 |
+
1. Upload a background image and use the brush/eraser tools below it to mark or modify the insertion region (mask); upload a reference image and paint over the object you want to insert (reference mask).
|
| 468 |
+
2. Or click any thumbnail row in the "Examples" section below to automatically load the background image + mask + reference image + reference mask.
|
| 469 |
+
3. Click the "Generate" button; the result will be shown below.
|
| 470 |
+
"""
|
| 471 |
+
)
|
| 472 |
+
|
| 473 |
+
with gr.Row(elem_classes="input-row"):
|
| 474 |
+
base = gr.ImageEditor(
|
| 475 |
+
label="Background Image (paint the insertion region)",
|
| 476 |
+
type="pil",
|
| 477 |
+
format="png",
|
| 478 |
+
width=420,
|
| 479 |
+
height=450,
|
| 480 |
+
sources=["upload"],
|
| 481 |
+
canvas_size=(EDITOR_SIZE, EDITOR_SIZE),
|
| 482 |
+
fixed_canvas=True,
|
| 483 |
+
brush=gr.Brush(
|
| 484 |
+
default_size=30,
|
| 485 |
+
default_color="rgba(255, 255, 255, 0.6)",
|
| 486 |
+
color_mode="fixed",
|
| 487 |
+
colors=["rgba(255, 255, 255, 0.6)"],
|
| 488 |
+
),
|
| 489 |
+
eraser=gr.Eraser(default_size=30),
|
| 490 |
+
)
|
| 491 |
+
ref = gr.ImageEditor(
|
| 492 |
+
label="Reference Image (paint the object to insert)",
|
| 493 |
+
type="pil",
|
| 494 |
+
format="png",
|
| 495 |
+
width=420,
|
| 496 |
+
height=450,
|
| 497 |
+
sources=["upload"],
|
| 498 |
+
canvas_size=(EDITOR_SIZE, EDITOR_SIZE),
|
| 499 |
+
fixed_canvas=True,
|
| 500 |
+
brush=gr.Brush(
|
| 501 |
+
default_size=30,
|
| 502 |
+
default_color="rgba(255, 255, 255, 0.6)",
|
| 503 |
+
color_mode="fixed",
|
| 504 |
+
colors=["rgba(255, 255, 255, 0.6)"],
|
| 505 |
+
),
|
| 506 |
+
eraser=gr.Eraser(default_size=30),
|
| 507 |
+
)
|
| 508 |
+
|
| 509 |
+
with gr.Row():
|
| 510 |
+
seed = gr.Number(label="Random Seed", value=1, precision=0)
|
| 511 |
+
num_inference_steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=15)
|
| 512 |
+
cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=10, step=0.1, value=4)
|
| 513 |
+
|
| 514 |
+
with gr.Row():
|
| 515 |
+
gen_btn = gr.Button("Generate", variant="primary")
|
| 516 |
+
|
| 517 |
+
# ==================== Generation Result ====================
|
| 518 |
+
with gr.Row():
|
| 519 |
+
output_image = gr.Image(
|
| 520 |
+
label="Generated Result",
|
| 521 |
+
interactive=False,
|
| 522 |
+
width=420,
|
| 523 |
+
height=450,
|
| 524 |
+
)
|
| 525 |
+
|
| 526 |
+
with gr.Row():
|
| 527 |
+
error_dialog = gr.HTML(visible=False)
|
| 528 |
+
|
| 529 |
+
gr.HTML('<div class="ex-section-header"><span style="font-weight:700;font-size:16px;color:#374151;">Examples (click to load background image + mask + reference image + reference mask)</span></div>')
|
| 530 |
+
|
| 531 |
+
base_state = gr.State(None)
|
| 532 |
+
ref_state = gr.State(None)
|
| 533 |
+
|
| 534 |
+
ex_btn0 = gr.Button("Example 1", elem_id="ex_btn_0", elem_classes=["ex-hidden-btn"])
|
| 535 |
+
ex_btn1 = gr.Button("Example 2", elem_id="ex_btn_1", elem_classes=["ex-hidden-btn"])
|
| 536 |
+
ex_btn2 = gr.Button("Example 3", elem_id="ex_btn_2", elem_classes=["ex-hidden-btn"])
|
| 537 |
+
ex_btn3 = gr.Button("Example 4", elem_id="ex_btn_3", elem_classes=["ex-hidden-btn"])
|
| 538 |
+
|
| 539 |
+
gr.HTML('<div class="ex-container">' + build_examples_html() + '</div>')
|
| 540 |
+
|
| 541 |
+
# ==================== Event Bindings ====================
|
| 542 |
+
|
| 543 |
+
# Single-step load: a clear-then-load chain sends the frontend two rapid
|
| 544 |
+
# updates, and the upload round-trip in between references temp PNGs that
|
| 545 |
+
# get overwritten mid-read (truncated/broken PNG errors on preprocess).
|
| 546 |
+
ex_btn0.click(fn=load_ex1, outputs=[base, ref, base_state, ref_state])
|
| 547 |
+
ex_btn1.click(fn=load_ex2, outputs=[base, ref, base_state, ref_state])
|
| 548 |
+
ex_btn2.click(fn=load_ex3, outputs=[base, ref, base_state, ref_state])
|
| 549 |
+
ex_btn3.click(fn=load_ex4, outputs=[base, ref, base_state, ref_state])
|
| 550 |
+
|
| 551 |
+
gen_btn.click(
|
| 552 |
+
fn=run_local,
|
| 553 |
+
inputs=[base, ref, base_state, ref_state, seed, num_inference_steps, cfg_scale],
|
| 554 |
+
outputs=[output_image, error_dialog],
|
| 555 |
+
)
|
| 556 |
+
|
| 557 |
+
demo.launch(server_name="0.0.0.0", server_port=7860)
|
| 558 |
+
|
| 559 |
+
|
| 560 |
+
|
| 561 |
+
|
examples/background_image/1.png
ADDED
|
Git LFS Details
|
examples/background_image/2.png
ADDED
|
Git LFS Details
|
examples/background_image/3.png
ADDED
|
Git LFS Details
|
examples/background_image/4.png
ADDED
|
Git LFS Details
|
examples/insert_mask/1.png
ADDED
|
examples/insert_mask/2.png
ADDED
|
examples/insert_mask/3.png
ADDED
|
examples/insert_mask/4.png
ADDED
|
examples/ref_image/1.png
ADDED
|
Git LFS Details
|
examples/ref_image/2.png
ADDED
|
Git LFS Details
|
examples/ref_image/3.png
ADDED
|
Git LFS Details
|
examples/ref_image/4.png
ADDED
|
Git LFS Details
|
examples/ref_mask/1.png
ADDED
|
examples/ref_mask/2.png
ADDED
|
examples/ref_mask/3.png
ADDED
|
examples/ref_mask/4.png
ADDED
|
requirements.txt
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
diffsynth==2.1.2
|
| 2 |
+
transformers
|
| 3 |
+
accelerate
|
| 4 |
+
peft
|
| 5 |
+
safetensors
|
| 6 |
+
sentencepiece
|
| 7 |
+
torchvision
|
| 8 |
+
Pillow
|
| 9 |
+
numpy
|
| 10 |
+
gradio==6.24.0
|