parent
344db544e7
commit
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import requests
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import io
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import base64
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from PIL import Image
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import cv2
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def encode_image(image_path):
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with open(image_path, "rb") as i:
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b64 = base64.b64encode(i.read())
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return b64.decode("utf-8")
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url = "http://192.168.1.21:7860"
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prompt = "(8k, RAW photo, highest quality),hyperrealistic abstract style portrait of an otherworldly being with metallic skin,glowing orbs for eyes,and intricate fractal patterns emanating from their face,non-representational,colors and shapes,expression of feelings,imaginative,highly detailed,(pink Fluorescent eyeshadow:1.2),eyeliner,makeup,lipstick,watery eyes,(Mole under eye:1.2),(seductive_smile:1.2),XURE Dunhuang Flying XL,1girl,<lora:绪儿 敦煌飞天XL:0.6>,"
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negative_prompt = "NSFW,blurry,low quality,watermark,monochrome,badhandv4,easynegative,ng_deepnegative_v1_75t,bad proportions,mutated hands and fingers,poorly drawn face,extra limb,missing limb,malformed limbs,disconnected limbs,ugly,floating limbs,extra legs,mutation,bad body,long neck,cross-eyed,text,cleavage,"
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# 此处为读取一张图片作为输入图像
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encoded_image = encode_image('../Image/28/1.jpg')
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encoded_source_image =encode_image('../Image/1ae93e2587822c291362abf9504cb49ec.jpeg')
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payload = {
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# 模型设置
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"override_settings": {
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"sd_model_checkpoint": "绪儿-一青十色XL_V2 VAE.safetensors [9f9290ac66]",
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"sd_vae": "Automatic"
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},
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# 基本参数
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"prompt": prompt,
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"negative_prompt": negative_prompt,
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"steps": 30,
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"sampler_name": "Euler a",
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"width": 1024,
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"height": 1472,
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"batch_size": 1,
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"n_iter": 1,
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"seed": 1,
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"cfg_scale": 3,
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"CLIP_stop_at_last_layers": 2,
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"init_images": [encoded_image],
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# 面部修复 face fix
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"restore_faces": False,
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# 高清修复 highres fix
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# "enable_hr": True,
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"denoising_strength": 0.5,
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# "hr_scale": 2,
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# "hr_upscaler": "Latent",
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"alwayson_scripts": {
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"ControlNet": {
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"args": [
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{
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"enabled": True,
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"model": "ip-adapter_instant_id_sdxl [eb2d3ec0]",
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"module": "instant_id_face_embedding",
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"weight": 1,
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"resize_mode": "Crop and Resize",
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"guidance_start": 0,
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"guidance_end": 1,
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"pixel_perfect": True,
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"processor_res": 512,
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"save_detected_map": True,
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"input_image": encoded_source_image,
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"control_mode": "My prompt is more important"
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},
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{
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"enabled": True,
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"model": "control_instant_id_sdxl [c5c25a50]",
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"module": "instant_id_face_keypoints",
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"weight": 1,
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"resize_mode": "Crop and Resize",
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"guidance_start": 0,
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"guidance_end": 1,
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"pixel_perfect": True,
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"processor_res": 512,
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"save_detected_map": True,
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"input_image": encoded_image,
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"control_mode": "ControlNet is more important"
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}
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]
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}
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}
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}
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#payload["alwayson_scripts"]["ControlNet"]["args"][0]["input_image"] = encoded_source_image
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#payload["alwayson_scripts"]["ControlNet"]["args"][1]["input_image"] = encoded_image
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response = requests.post(url=f'{url}/sdapi/v1/img2img', json=payload)
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r = response.json()
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image = Image.open(io.BytesIO(base64.b64decode(r['images'][0])))
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image.show()
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image.save('output.png')
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@ -1,33 +1,92 @@
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from Util import ConfigUtil
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from Util.CommonUtil import *
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import requests
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import io
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import base64
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from PIL import Image
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import cv2
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if __name__ == '__main__':
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# 配置文件
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config = ConfigUtil.getConfig()
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# 图生图服务地址
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img2img_url = config['webui']['img2img_url']
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def encode_image(image_path):
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with open(image_path, "rb") as i:
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b64 = base64.b64encode(i.read())
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return b64.decode("utf-8")
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# 用户传的源图
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source_img = "../Image/1ae93e2587822c291362abf9504cb49ec.jpeg"
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url = "http://192.168.1.21:7860"
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# 参照图片路径
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refer_img = "../Image/28/1.jpg"
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prompt = "(8k, RAW photo, highest quality),hyperrealistic abstract style portrait of an otherworldly being with metallic skin,glowing orbs for eyes,and intricate fractal patterns emanating from their face,non-representational,colors and shapes,expression of feelings,imaginative,highly detailed,(pink Fluorescent eyeshadow:1.2),eyeliner,makeup,lipstick,watery eyes,(Mole under eye:1.2),(seductive_smile:1.2),XURE Dunhuang Flying XL,1girl,<lora:绪儿 敦煌飞天XL:0.6>,"
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negative_prompt = "NSFW,blurry,low quality,watermark,monochrome,badhandv4,easynegative,ng_deepnegative_v1_75t,bad proportions,mutated hands and fingers,poorly drawn face,extra limb,missing limb,malformed limbs,disconnected limbs,ugly,floating limbs,extra legs,mutation,bad body,long neck,cross-eyed,text,cleavage,"
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# 生成的JSON文件
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with open("../JSON/28_1.json", 'r', encoding='utf-8') as f:
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v_data = json.load(f)
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# 此处为读取一张图片作为输入图像
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encoded_image = encode_image('../Image/28/1.jpg')
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encoded_source_image =encode_image('../Image/1ae93e2587822c291362abf9504cb49ec.jpeg')
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# 源图
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source_image = encode_image(source_img)
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refer_image = encode_image(refer_img)
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# https://blog.csdn.net/wangwenzhe222/article/details/139059131
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# ControlNet
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#v_data['alwayson_scripts']['ControlNet']['args'][0]['image'] = source_image
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#v_data['alwayson_scripts']['ControlNet']['args'][1]['image'] = refer_image
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v_data['init_images'] = [refer_image]
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payload = {
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# 模型设置
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"override_settings": {
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"sd_model_checkpoint": "绪儿-一青十色XL_V2 VAE.safetensors [9f9290ac66]",
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"sd_vae": "Automatic"
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},
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# 基本参数
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"prompt": prompt,
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"negative_prompt": negative_prompt,
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"steps": 30,
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"sampler_name": "Euler a",
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"width": 1024,
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"height": 1472,
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"batch_size": 1,
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"n_iter": 1,
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"seed": 1,
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"cfg_scale": 3,
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"CLIP_stop_at_last_layers": 2,
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"init_images": [encoded_image],
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# 面部修复 face fix
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"restore_faces": False,
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#print(json.dumps(v_data, sort_keys=True, ensure_ascii=False,indent=4)) # 生成可以正确显示中文的json格式输出
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# 高清修复 highres fix
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# "enable_hr": True,
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"denoising_strength": 0.5,
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# "hr_scale": 2,
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# "hr_upscaler": "Latent",
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"alwayson_scripts": {
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"ControlNet": {
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"args": [
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{
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"enabled": True,
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"model": "ip-adapter_instant_id_sdxl [eb2d3ec0]",
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"module": "instant_id_face_embedding",
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"weight": 1,
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"resize_mode": "Crop and Resize",
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"guidance_start": 0,
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"guidance_end": 1,
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"pixel_perfect": True,
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"processor_res": 512,
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"save_detected_map": True,
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"input_image": encoded_source_image,
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"control_mode": "My prompt is more important"
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},
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{
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"enabled": True,
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"model": "control_instant_id_sdxl [c5c25a50]",
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"module": "instant_id_face_keypoints",
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"weight": 1,
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"resize_mode": "Crop and Resize",
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"guidance_start": 0,
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"guidance_end": 1,
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"pixel_perfect": True,
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"processor_res": 512,
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"save_detected_map": True,
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"input_image": encoded_image,
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"control_mode": "ControlNet is more important"
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}
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]
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}
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}
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}
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response = submit_post(img2img_url, v_data)
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save_encoded_image(response.json()['images'][0], "../Out/result.png")
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#payload["alwayson_scripts"]["ControlNet"]["args"][0]["input_image"] = encoded_source_image
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#payload["alwayson_scripts"]["ControlNet"]["args"][1]["input_image"] = encoded_image
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response = requests.post(url=f'{url}/sdapi/v1/img2img', json=payload)
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r = response.json()
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image = Image.open(io.BytesIO(base64.b64decode(r['images'][0])))
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image.show()
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image.save('output.png')
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Before Width: | Height: | Size: 2.3 MiB After Width: | Height: | Size: 2.3 MiB |
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