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from gradio_client import Client, handle_file
import random
import os
HF_TOKEN = os.environ.get("girlToken")
space_client = Client(
"prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast",
token=HF_TOKEN
)
LORA_STYLES = [
'Multiple-Angles', 'Photo-to-Anime', 'Anime-V2', 'Light-Migration',
'Upscaler', 'Style-Transfer', 'Manga-Tone', 'Anything2Real',
'Fal-Multiple-Angles', 'Polaroid-Photo', 'Unblur-Anything',
'Midnight-Noir-Eyes-Spotlight', 'Hyper-Realistic-Portrait',
'Ultra-Realistic-Portrait', 'Pixar-Inspired-3D', 'Noir-Comic-Book',
'Any-light', 'Studio-DeLight', 'Cinematic-FlatLog',
]
MAX_SEED = 2**31 - 1
def infer(
image,
prompt,
lora_adapter,
seed,
randomize_seed,
guidance_scale,
steps,
progress=gr.Progress(track_tqdm=True),
):
if image is None:
print("未上传图片")
return None, seed
if not os.path.exists(image):
print(f"图片路径不存在: {image}")
return None, seed
if randomize_seed:
seed = random.randint(0, MAX_SEED)
# 关键：用 handle_file 上传到目标 Space，得到远端可访问的文件对象
uploaded = handle_file(image)
# Gallery 元素格式：{"image": <上传后的文件对象>, "caption": None}
images_input = [{"image": uploaded, "caption": None}]
print("[调用API] 输入参数：")
print(f" image path: {image}")
print(f" uploaded: {uploaded}")
print(f" prompt: {prompt}")
print(f" lora_adapter: {lora_adapter}")
print(f" seed: {seed}")
print(f" guidance_scale: {guidance_scale}")
print(f" steps: {steps}")
try:
result = space_client.predict(
images=images_input,
prompt=prompt,
lora_adapter=lora_adapter,
seed=float(seed),
randomize_seed=bool(randomize_seed),
guidance_scale=float(guidance_scale),
steps=float(steps),
api_name="/infer",
)
print(f"[调用API] 返回值: {result}")
image_info, seed_used = result
if isinstance(image_info, dict):
img_out = image_info.get("path") or image_info.get("url")
else:
img_out = image_info
return img_out, int(seed_used)
except Exception as e:
import traceback
traceback.print_exc()
print(f"[调用API] 异常: {e}")
return None, seed
css = """
#col-container {
margin: 0 auto;
max-width: 640px;
}
"""
with gr.Blocks(css=css) as demo:
with gr.Column(elem_id="col-container"):
gr.Markdown("# 图像编辑 Demo\n基于 prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast")
image = gr.Image(
label="上传图片",
sources=["upload"],
type="filepath",
)
prompt = gr.Text(
label="编辑描述（Prompt）",
placeholder="请输入图片编辑描述...",
)
lora_adapter = gr.Dropdown(
label="编辑风格（Style）",
choices=LORA_STYLES,
value="Photo-to-Anime"
)
run_button = gr.Button("执行编辑", variant="primary")
result = gr.Image(label="结果图片", show_label=True)
with gr.Accordion("高级设置", open=False):
seed = gr.Slider(
label="随机种子",
minimum=0,
maximum=MAX_SEED,
step=1,
value=0,
)
randomize_seed = gr.Checkbox(label="随机化种子", value=True)
guidance_scale = gr.Slider(
label="引导强度 (Guidance Scale)",
minimum=0.1,
maximum=10.0,
step=0.1,
value=1.0,
)
steps = gr.Slider(
label="推理步数 (Steps)",
minimum=1,
maximum=50,
step=1,
value=4,
)
gr.on(
triggers=[run_button.click, prompt.submit],
fn=infer,
inputs=[image, prompt, lora_adapter, seed, randomize_seed, guidance_scale, steps],
outputs=[result, seed],
)
if __name__ == "__main__":
demo.launch(ssr_mode=False, share=True) |