Update app.py
Browse files
app.py
CHANGED
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@@ -9,7 +9,7 @@ from PIL import Image
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import gradio as gr
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from huggingface_hub import hf_hub_download
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from transformers import AutoModelForImageSegmentation
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from torchvision import transforms
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from pipeline import InstantCharacterFluxPipeline
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@@ -33,6 +33,31 @@ ghibli_style_lora_path = hf_hub_download("InstantX/FLUX.1-dev-LoRA-Ghibli", "ghi
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onepiece_style_lora_path = os.path.join(os.path.dirname(__file__), "onepiece_flux_v2.safetensors")
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ONEPIECE_TRIGGER = "onepiece style"
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# --------------------------------------------
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# Init pipeline
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# --------------------------------------------
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@@ -82,6 +107,22 @@ def remove_bkg(subject_image):
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cropped = pad_to_square(obj, 255)
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return Image.fromarray(cropped.astype(np.uint8))
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# --------------------------------------------
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# Generation logic
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# --------------------------------------------
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@@ -104,7 +145,7 @@ def create_image(input_image, prompt, scale, guidance_scale, num_inference_steps
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generator = torch.manual_seed(seed)
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common_args = dict(
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prompt=prompt,
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negative_prompt=negative_prompt,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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width=1024, height=1024,
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@@ -122,14 +163,20 @@ def create_image(input_image, prompt, scale, guidance_scale, num_inference_steps
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# --------------------------------------------
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# UI definition (Gradio 5)
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# --------------------------------------------
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def generate_fn(image, prompt, scale, style, guidance, steps, seed, randomize, negative_prompt):
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seed = randomize_seed(seed, randomize)
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return create_image(image, prompt, scale, guidance, steps, seed, style, negative_prompt)
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title = "🎨 InstantCharacter + One Piece LoRA"
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description = (
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"Upload your photo, describe your scene,
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"
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)
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demo = gr.Interface(
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@@ -144,15 +191,16 @@ demo = gr.Interface(
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gr.Slider(5, 50, value=28, step=1, label="Inference Steps"),
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gr.Slider(-1000000, 1000000, value=123456, step=1, label="Seed"),
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gr.Checkbox(value=True, label="Randomize Seed"),
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gr.Textbox(label="Negative Prompt", placeholder="e.g. photorealistic, realistic skin, pores, hdr")
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],
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outputs=gr.Gallery(label="Generated Image"),
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title=title,
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description=description,
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examples=[
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["./assets/girl.jpg", f"A girl playing guitar, {ONEPIECE_TRIGGER}", 0.9, "One Piece style", 3.5, 28, 123, False, ""],
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["./assets/boy.jpg",
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]
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)
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demo.launch()
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import gradio as gr
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from huggingface_hub import hf_hub_download
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from transformers import AutoModelForImageSegmentation, CLIPProcessor, CLIPModel
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from torchvision import transforms
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from pipeline import InstantCharacterFluxPipeline
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onepiece_style_lora_path = os.path.join(os.path.dirname(__file__), "onepiece_flux_v2.safetensors")
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ONEPIECE_TRIGGER = "onepiece style"
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# ---------- Gender-aware prompt templates ----------
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MALE_PROMPT = (
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"Upper-body anime portrait of a female pirate character inspired by One Piece, "
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"confident and charismatic expression, elegant yet powerful pose, playful or determined smirk, "
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"expressive eyes with anime-style lighting, slightly windswept hair, keeping the distinctive facial features and hairstyle of the person, "
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"detailed anime rendering of their face, natural matte skin tone, lips matching the skin color (no pink or gloss), "
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"wearing optional stylish pirate clothing inspired by One Piece (open shirt, corset, belts, jackets, jewelry, or scarves), "
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"with optional pirate accessories such as earrings, necklace, or hat, only if it fits the character’s style, "
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"well-framed composition showing the full head and shoulders clearly, centered and balanced, cinematic warm lighting, "
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"high-quality cel-shaded coloring and detailed linework, One Piece-style background (ship deck or ocean sky), "
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"designed to look beautiful, elegant and iconic like a real One Piece heroine character, no frame, no text."
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)
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FEMALE_PROMPT = (
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"Upper-body anime portrait of a female pirate character inspired by One Piece, "
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"confident and charismatic expression, elegant yet powerful pose, playful or determined smirk, "
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"expressive eyes with anime-style lighting, slightly windswept hair, keeping the distinctive facial features and hairstyle of the person, "
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"detailed anime rendering of their face, natural matte skin tone, lips matching the skin color (no pink or gloss), "
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"wearing optional stylish pirate clothing inspired by One Piece (open shirt, corset, belts, jackets, jewelry, or scarves), "
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"with optional pirate accessories such as earrings, necklace, or hat, only if it fits the character’s style, "
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"well-framed composition showing the full head and shoulders clearly, centered and balanced, cinematic warm lighting, "
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"high-quality cel-shaded coloring and detailed linework, One Piece-style background (ship deck or ocean sky), "
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"designed to look beautiful, elegant and iconic like a real One Piece heroine character, no frame, no text."
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)
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# --------------------------------------------
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# Init pipeline
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# --------------------------------------------
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cropped = pad_to_square(obj, 255)
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return Image.fromarray(cropped.astype(np.uint8))
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# --------------------------------------------
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# Simple gender detector (CLIP zero-shot)
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# --------------------------------------------
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clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32").to(device)
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clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
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clip_model.eval()
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@torch.no_grad()
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def detect_gender(img_pil: Image.Image) -> str:
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texts = ["a portrait photo of a man", "a portrait photo of a woman"]
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inputs = clip_processor(text=texts, images=img_pil.convert("RGB"), return_tensors="pt", padding=True).to(device)
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outputs = clip_model(**inputs)
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logits_per_image = outputs.logits_per_image.squeeze(0) # (2,)
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idx = int(torch.argmax(logits_per_image).item())
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return "male" if idx == 0 else "female"
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# --------------------------------------------
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# Generation logic
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# --------------------------------------------
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generator = torch.manual_seed(seed)
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common_args = dict(
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prompt=prompt,
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negative_prompt=negative_prompt,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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width=1024, height=1024,
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# --------------------------------------------
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# UI definition (Gradio 5)
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# --------------------------------------------
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def generate_fn(image, prompt, scale, style, guidance, steps, seed, randomize, negative_prompt, auto_prompt):
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# si auto_prompt est activé, on remplace le prompt par le template choisi via CLIP
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if auto_prompt and image is not None:
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gender = detect_gender(image)
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chosen = MALE_PROMPT if gender == "male" else FEMALE_PROMPT
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# on ajoute le trigger One Piece pour renforcer le style
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prompt = f"{chosen}, {ONEPIECE_TRIGGER}"
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seed = randomize_seed(seed, randomize)
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return create_image(image, prompt, scale, guidance, steps, seed, style, negative_prompt)
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title = "🎨 InstantCharacter + One Piece LoRA"
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description = (
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"Upload your photo, describe your scene, or tick **Auto One Piece Prompt** to auto-pick a gender-aware template. "
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"Choose **One Piece style** to apply the LoRA."
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)
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demo = gr.Interface(
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gr.Slider(5, 50, value=28, step=1, label="Inference Steps"),
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gr.Slider(-1000000, 1000000, value=123456, step=1, label="Seed"),
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gr.Checkbox(value=True, label="Randomize Seed"),
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gr.Textbox(label="Negative Prompt", placeholder="e.g. photorealistic, realistic skin, pores, hdr"),
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gr.Checkbox(value=True, label="Auto One Piece Prompt (gender-aware)"), # <--- nouvel interrupteur
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],
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outputs=gr.Gallery(label="Generated Image"),
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title=title,
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description=description,
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examples=[
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["./assets/girl.jpg", f"A girl playing guitar, {ONEPIECE_TRIGGER}", 0.9, "One Piece style", 3.5, 28, 123, False, "", True],
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["./assets/boy.jpg", f"A boy riding a bike, {ONEPIECE_TRIGGER}", 0.9, "One Piece style", 3.5, 28, 123, False, "", True],
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],
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)
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demo.launch()
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