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Update app.py
Browse filesубрали
Overlay (перенос принта/фактуры)
авто/ручную маску логотипа
режим Text/Logo и любые “подсказки” в garment_desc
app.py
CHANGED
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@@ -4,9 +4,7 @@ import time
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import tempfile
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import gradio as gr
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-
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from PIL import Image, ImageFilter, ImageEnhance
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-
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from gradio_client import Client, handle_file
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from huggingface_hub import login
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@@ -37,7 +35,7 @@ def reset_client():
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def get_client():
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"""
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-
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We rely on huggingface_hub login() above.
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"""
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global _client
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@@ -46,8 +44,6 @@ def get_client():
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return _client
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# ---------------- IO helpers ----------------
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-
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def clamp_int(x, lo, hi):
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try:
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x = int(x)
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@@ -56,25 +52,17 @@ def clamp_int(x, lo, hi):
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return max(lo, min(hi, x))
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def clamp_float(x, lo, hi):
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try:
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x = float(x)
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except Exception:
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x = lo
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return max(lo, min(hi, x))
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-
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-
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def pil_save_temp(
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pil_img: Image.Image,
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suffix: str = ".jpg",
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max_side: int =
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quality: int = 92
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) -> str:
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"""
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-
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- convert to RGB
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- downscale to max_side
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- save
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"""
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img = pil_img.convert("RGB")
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w, h = img.size
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@@ -90,190 +78,23 @@ def pil_save_temp(
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return path
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-
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-
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def apply_mode_defaults(mode: str, denoise_steps: int, seed: int, crop_center: bool, garment_desc: str):
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denoise_steps = clamp_int(denoise_steps, 10, 40)
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seed = clamp_int(seed, 0, 999999)
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-
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if mode == "Balanced":
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denoise_steps = max(denoise_steps, 28)
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elif mode == "Quality":
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denoise_steps = max(denoise_steps, 38)
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elif mode == "Text/Logo":
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denoise_steps = 40
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crop_center = False
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if seed == 0:
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seed = 42
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if garment_desc and "text" not in garment_desc.lower() and "logo" not in garment_desc.lower():
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garment_desc = garment_desc.strip() + ", with clear text/logo print"
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return denoise_steps, seed, crop_center, garment_desc
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-
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-
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# ---------------- Overlay (preserve print/texture) ----------------
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def _to_np(img: Image.Image) -> np.ndarray:
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return np.asarray(img.convert("RGB"), dtype=np.float32) / 255.0
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def _to_pil(arr: np.ndarray) -> Image.Image:
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arr = np.clip(arr * 255.0, 0, 255).astype(np.uint8)
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return Image.fromarray(arr, mode="RGB")
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-
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-
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def make_auto_mask_from_garment(garment_rgb: Image.Image) -> Image.Image:
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"""
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Heuristic mask for print/text: edge density + center focus.
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"""
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g = garment_rgb.convert("L")
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edges = g.filter(ImageFilter.FIND_EDGES).filter(ImageFilter.GaussianBlur(radius=1.2))
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arr = np.asarray(edges, dtype=np.uint8)
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-
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m = float(arr.mean())
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s = float(arr.std())
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thr = int(min(255, max(25, m + 0.7 * s)))
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-
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mask = (arr > thr).astype(np.uint8) * 255
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mask_img = Image.fromarray(mask, mode="L").filter(ImageFilter.GaussianBlur(radius=2.0))
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-
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w, h = mask_img.size
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focus = Image.new("L", (w, h), 0)
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fx0, fy0, fx1, fy1 = int(w * 0.18), int(h * 0.12), int(w * 0.82), int(h * 0.88)
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focus.paste(255, (fx0, fy0, fx1, fy1))
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focus = focus.filter(ImageFilter.GaussianBlur(radius=12.0))
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-
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mask_arr = (np.asarray(mask_img, dtype=np.float32) / 255.0) * (np.asarray(focus, dtype=np.float32) / 255.0)
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return Image.fromarray(np.clip(mask_arr * 255.0, 0, 255).astype(np.uint8), mode="L")
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-
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-
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def apply_overlay_preserve(
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out_rgb: Image.Image,
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garment_rgb: Image.Image,
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strength: float,
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detail_strength: float,
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box_scale: float,
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offset_x: int,
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offset_y: int,
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use_drawn_mask: bool,
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garment_mask_draw: Image.Image | None,
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) -> Image.Image:
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"""
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Blend garment colors + high-frequency detail into torso region.
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If a drawn mask is provided, it wins (best for exact logos/text).
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"""
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strength = clamp_float(strength, 0.0, 1.0)
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detail_strength = clamp_float(detail_strength, 0.0, 2.0)
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box_scale = clamp_float(box_scale, 0.6, 1.4)
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if strength <= 0.0 and detail_strength <= 0.0:
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return out_rgb
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out = out_rgb.convert("RGB")
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g = garment_rgb.convert("RGB")
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ow, oh = out.size
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-
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# approximate torso box
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x0 = int(ow * 0.22)
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x1 = int(ow * 0.78)
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y0 = int(oh * 0.20)
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y1 = int(oh * 0.78)
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bw, bh = (x1 - x0), (y1 - y0)
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cx = (x0 + x1) // 2 + int(offset_x)
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cy = (y0 + y1) // 2 + int(offset_y)
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bw2 = int(bw * box_scale)
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bh2 = int(bh * box_scale)
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x0b = max(0, cx - bw2 // 2)
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x1b = min(ow, cx + bw2 // 2)
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y0b = max(0, cy - bh2 // 2)
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y1b = min(oh, cy + bh2 // 2)
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-
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box_w, box_h = (x1b - x0b), (y1b - y0b)
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if box_w <= 10 or box_h <= 10:
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return out
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g_fit = g.resize((box_w, box_h), Image.LANCZOS)
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# mask
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if use_drawn_mask and garment_mask_draw is not None:
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gm = garment_mask_draw
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if gm.mode == "RGBA":
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mask = gm.split()[-1]
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else:
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mask = gm.convert("L")
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mask = mask.resize((box_w, box_h), Image.LANCZOS).filter(ImageFilter.GaussianBlur(radius=2.0))
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else:
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mask = make_auto_mask_from_garment(g).resize((box_w, box_h), Image.LANCZOS)
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m = np.asarray(mask, dtype=np.float32) / 255.0
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m = np.clip(m, 0.0, 1.0)
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out_arr = _to_np(out)
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crop = out_arr[y0b:y1b, x0b:x1b, :]
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g_arr = _to_np(g_fit)
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# 1) color/print transfer
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if strength > 0:
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alpha = strength * (m[..., None])
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crop = crop * (1.0 - alpha) + g_arr * alpha
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-
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# 2) texture/detail transfer
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if detail_strength > 0:
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g_blur = _to_np(g_fit.filter(ImageFilter.GaussianBlur(radius=3.0)))
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detail = g_arr - g_blur
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alpha2 = detail_strength * (m[..., None]) * 0.65
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crop = np.clip(crop + detail * alpha2, 0.0, 1.0)
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-
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out_arr[y0b:y1b, x0b:x1b, :] = crop
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return _to_pil(out_arr)
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-
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# ---------------- Main inference ----------------
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def tryon_remote(
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person_pil,
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garment_pil,
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garment_desc,
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auto_mask,
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crop_center,
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denoise_steps,
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seed,
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mode_quality,
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overlay_enable,
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overlay_strength,
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overlay_detail,
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overlay_box_scale,
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overlay_offset_x,
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overlay_offset_y,
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use_garment_mask_draw,
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garment_mask_draw,
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):
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if person_pil is None:
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return None, "❌ Загрузите фото человека"
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if garment_pil is None:
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return None, "❌ Загрузите одежду"
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denoise_steps
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denoise_steps=denoise_steps,
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seed=seed,
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crop_center=crop_center,
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garment_desc=garment_desc or "a t-shirt"
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)
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# Save
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p_path = pil_save_temp(person_pil, ".jpg", max_side=
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g_path = pil_save_temp(garment_pil, ".jpg", max_side=
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try:
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last_err = None
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#
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for attempt in range(1, 7):
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try:
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client = get_client()
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@@ -281,7 +102,7 @@ def tryon_remote(
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result = client.predict(
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dict={"background": handle_file(p_path), "layers": [], "composite": None},
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garm_img=handle_file(g_path),
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garment_des=garment_desc,
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is_checked=bool(auto_mask),
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is_checked_crop=bool(crop_center),
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denoise_steps=int(denoise_steps),
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@@ -293,52 +114,20 @@ def tryon_remote(
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result = result[0]
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out = Image.open(result).convert("RGB")
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-
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if overlay_enable:
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out = apply_overlay_preserve(
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out_rgb=out,
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garment_rgb=garment_pil.convert("RGB"),
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strength=float(overlay_strength),
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detail_strength=float(overlay_detail),
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box_scale=float(overlay_box_scale),
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offset_x=int(overlay_offset_x),
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offset_y=int(overlay_offset_y),
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use_drawn_mask=bool(use_garment_mask_draw),
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garment_mask_draw=garment_mask_draw,
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)
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return out, (
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f"✅ Готово | mode={mode_quality}, steps={denoise_steps}, seed={seed}, crop={crop_center} | "
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f"overlay={'on' if overlay_enable else 'off'}"
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)
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except Exception as e:
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last_err = e
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msg = str(e).lower()
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is_timeout = ("write operation timed out" in msg) or ("timed out" in msg)
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-
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is_zerogpu = ("zerogpu" in msg)
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-
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if is_timeout or is_queue or is_zerogpu:
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reset_client()
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-
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# escalate waiting
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wait_s = 6.0 * attempt # 6s, 12s, 18s, ...
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# on later attempts, compress more to reduce upload chance of timeout
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if attempt >= 3:
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try:
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os.remove(p_path); os.remove(g_path)
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except Exception:
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pass
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p_path = pil_save_temp(person_pil, ".jpg", max_side=1100, quality=85)
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g_path = pil_save_temp(garment_pil, ".jpg", max_side=1100, quality=88)
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-
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time.sleep(wait_s)
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continue
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# generic backoff
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time.sleep(1.2 * attempt)
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return None, f"❌ Ошибка Space: {str(last_err)[:250]}"
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@@ -355,8 +144,6 @@ def reset_ui():
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return None, None, None, "Ожидание..."
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-
# ---------------- UI ----------------
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-
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CUSTOM_CSS = """
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footer {display:none !important;}
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#api-info {display:none !important;}
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@@ -365,11 +152,7 @@ button[aria-label="Settings"] {display:none !important;}
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"""
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with gr.Blocks(title="Virtual Try-On Rendez-vous") as demo:
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gr.Markdown(
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"# Virtual Try-On Rendez-vous\n\n"
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"**Максимум по тексту/фактуре:** выбери *Text/Logo* и включи *Overlay*.\n"
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"Если авто-маска промахивается — включи *Use garment mask (draw)* и нарисуй маску по тексту/логотипу."
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)
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with gr.Row():
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with gr.Column():
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@@ -377,40 +160,16 @@ with gr.Blocks(title="Virtual Try-On Rendez-vous") as demo:
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garment = gr.Image(label="Одежда", type="pil", height=320)
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garment_desc = gr.Textbox(
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label="Описание одежды
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value="a t-shirt
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)
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["Balanced", "Quality", "Text/Logo"],
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value="Text/Logo",
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label="Режим качества"
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)
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with gr.Accordion("Настройки генерации", open=False):
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auto_mask = gr.Checkbox(label="Auto-mask (Space)", value=True)
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crop_center = gr.Checkbox(label="Crop по центру", value=True)
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-
denoise_steps = gr.Slider(10, 40, value=
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seed = gr.Slider(0, 999999, value=42, step=1, label="Seed")
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with gr.Accordion("Сохранение текста/текстуры (Overlay)", open=True):
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overlay_enable = gr.Checkbox(label="Enable Overlay", value=True)
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overlay_strength = gr.Slider(0, 1, value=0.55, step=0.01, label="Overlay strength (цвет/принт)")
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overlay_detail = gr.Slider(0, 2, value=1.10, step=0.05, label="Overlay detail (фактура/буквы)")
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overlay_box_scale = gr.Slider(0.6, 1.4, value=1.0, step=0.02, label="Overlay box scale")
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overlay_offset_x = gr.Slider(-300, 300, value=0, step=1, label="Overlay offset X (px)")
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overlay_offset_y = gr.Slider(-300, 300, value=0, step=1, label="Overlay offset Y (px)")
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-
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use_garment_mask_draw = gr.Checkbox(
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label="Use garment mask (draw) — нарисуй маску по тексту/принту",
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value=False
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)
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garment_mask_draw = gr.Image(
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label="Garment mask (опционально): нарисуй белым по тексту/принту",
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type="pil",
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height=260,
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)
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-
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with gr.Row():
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run = gr.Button("Примерить", variant="primary")
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reset = gr.Button("Сбросить", variant="secondary")
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@@ -422,13 +181,7 @@ with gr.Blocks(title="Virtual Try-On Rendez-vous") as demo:
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run.click(
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fn=tryon_remote,
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-
inputs=[
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person, garment, garment_desc,
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auto_mask, crop_center, denoise_steps, seed, mode_quality,
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overlay_enable, overlay_strength, overlay_detail, overlay_box_scale,
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overlay_offset_x, overlay_offset_y,
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use_garment_mask_draw, garment_mask_draw
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],
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outputs=[out, status]
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)
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@@ -441,7 +194,7 @@ with gr.Blocks(title="Virtual Try-On Rendez-vous") as demo:
|
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if __name__ == "__main__":
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=False,
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debug=False,
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css=CUSTOM_CSS,
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import tempfile
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import gradio as gr
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+
from PIL import Image
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from gradio_client import Client, handle_file
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from huggingface_hub import login
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def get_client():
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"""
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+
Compatible with older gradio_client (no hf_token=...).
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We rely on huggingface_hub login() above.
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"""
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global _client
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return _client
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def clamp_int(x, lo, hi):
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try:
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x = int(x)
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return max(lo, min(hi, x))
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def pil_save_temp(
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pil_img: Image.Image,
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suffix: str = ".jpg",
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max_side: int = 1600,
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quality: int = 92
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) -> str:
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"""
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+
Make uploads more stable (reduce write timeouts):
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- convert to RGB
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- downscale to max_side
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- save optimized JPEG
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"""
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img = pil_img.convert("RGB")
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w, h = img.size
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return path
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+
def tryon_remote(person_pil, garment_pil, garment_desc, auto_mask, crop_center, denoise_steps, seed):
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|
| 82 |
if person_pil is None:
|
| 83 |
return None, "❌ Загрузите фото человека"
|
| 84 |
if garment_pil is None:
|
| 85 |
return None, "❌ Загрузите одежду"
|
| 86 |
|
| 87 |
+
denoise_steps = clamp_int(denoise_steps, 10, 40)
|
| 88 |
+
seed = clamp_int(seed, 0, 999999)
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|
| 89 |
|
| 90 |
+
# Save temp files (compressed for stability)
|
| 91 |
+
p_path = pil_save_temp(person_pil, ".jpg", max_side=1600, quality=92)
|
| 92 |
+
g_path = pil_save_temp(garment_pil, ".jpg", max_side=1600, quality=92)
|
| 93 |
|
| 94 |
try:
|
| 95 |
last_err = None
|
| 96 |
|
| 97 |
+
# retries to survive ZeroGPU overload/queue/timeouts
|
| 98 |
for attempt in range(1, 7):
|
| 99 |
try:
|
| 100 |
client = get_client()
|
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|
| 102 |
result = client.predict(
|
| 103 |
dict={"background": handle_file(p_path), "layers": [], "composite": None},
|
| 104 |
garm_img=handle_file(g_path),
|
| 105 |
+
garment_des=(garment_desc or "a t-shirt"),
|
| 106 |
is_checked=bool(auto_mask),
|
| 107 |
is_checked_crop=bool(crop_center),
|
| 108 |
denoise_steps=int(denoise_steps),
|
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|
| 114 |
result = result[0]
|
| 115 |
|
| 116 |
out = Image.open(result).convert("RGB")
|
| 117 |
+
return out, f"✅ Готово (steps={denoise_steps}, seed={seed}, crop={crop_center})"
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|
| 118 |
|
| 119 |
except Exception as e:
|
| 120 |
last_err = e
|
| 121 |
msg = str(e).lower()
|
| 122 |
|
| 123 |
+
is_timeout = ("write operation timed out" in msg) or ("read operation timed out" in msg) or ("timed out" in msg)
|
| 124 |
+
is_busy = ("too many requests" in msg) or ("queue" in msg) or ("too busy" in msg) or ("overloaded" in msg) or ("capacity" in msg) or ("zerogpu" in msg)
|
|
|
|
| 125 |
|
| 126 |
+
if is_timeout or is_busy:
|
|
|
|
| 127 |
reset_client()
|
| 128 |
+
time.sleep(6.0 * attempt) # 6s, 12s, 18s, ...
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|
| 129 |
continue
|
| 130 |
|
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|
| 131 |
time.sleep(1.2 * attempt)
|
| 132 |
|
| 133 |
return None, f"❌ Ошибка Space: {str(last_err)[:250]}"
|
|
|
|
| 144 |
return None, None, None, "Ожидание..."
|
| 145 |
|
| 146 |
|
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|
| 147 |
CUSTOM_CSS = """
|
| 148 |
footer {display:none !important;}
|
| 149 |
#api-info {display:none !important;}
|
|
|
|
| 152 |
"""
|
| 153 |
|
| 154 |
with gr.Blocks(title="Virtual Try-On Rendez-vous") as demo:
|
| 155 |
+
gr.Markdown("# Virtual Try-On Rendez-vous")
|
|
|
|
|
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|
| 156 |
|
| 157 |
with gr.Row():
|
| 158 |
with gr.Column():
|
|
|
|
| 160 |
garment = gr.Image(label="Одежда", type="pil", height=320)
|
| 161 |
|
| 162 |
garment_desc = gr.Textbox(
|
| 163 |
+
label="Описание одежды",
|
| 164 |
+
value="a t-shirt"
|
| 165 |
)
|
| 166 |
|
| 167 |
+
with gr.Accordion("Настройки", open=False):
|
|
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|
| 168 |
auto_mask = gr.Checkbox(label="Auto-mask (Space)", value=True)
|
| 169 |
crop_center = gr.Checkbox(label="Crop по центру", value=True)
|
| 170 |
+
denoise_steps = gr.Slider(10, 40, value=25, step=1, label="Denoise steps")
|
| 171 |
seed = gr.Slider(0, 999999, value=42, step=1, label="Seed")
|
| 172 |
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|
| 173 |
with gr.Row():
|
| 174 |
run = gr.Button("Примерить", variant="primary")
|
| 175 |
reset = gr.Button("Сбросить", variant="secondary")
|
|
|
|
| 181 |
|
| 182 |
run.click(
|
| 183 |
fn=tryon_remote,
|
| 184 |
+
inputs=[person, garment, garment_desc, auto_mask, crop_center, denoise_steps, seed],
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
| 185 |
outputs=[out, status]
|
| 186 |
)
|
| 187 |
|
|
|
|
| 194 |
if __name__ == "__main__":
|
| 195 |
demo.launch(
|
| 196 |
server_name="0.0.0.0",
|
| 197 |
+
server_port=7860,
|
| 198 |
share=False,
|
| 199 |
debug=False,
|
| 200 |
css=CUSTOM_CSS,
|