'commit'

BaiHu/Test/Test.py

@@ -1,92 +0,0 @@
-import requests
-import io
-import base64
-from PIL import Image
-import cv2
-
-def encode_image(image_path):
-    with open(image_path, "rb") as i:
-        b64 = base64.b64encode(i.read())
-    return b64.decode("utf-8")
-
-url = "http://192.168.1.21:7860"
-
-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>,"
-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,"
-
-# 此处为读取一张图片作为输入图像
-encoded_image = encode_image('../Image/28/1.jpg')
-encoded_source_image =encode_image('../Image/1ae93e2587822c291362abf9504cb49ec.jpeg')
-
-payload = {
-    # 模型设置
-    "override_settings": {
-        "sd_model_checkpoint": "绪儿-一青十色XL_V2 VAE.safetensors [9f9290ac66]",
-        "sd_vae": "Automatic"
-    },
-    # 基本参数
-    "prompt": prompt,
-    "negative_prompt": negative_prompt,
-    "steps": 30,
-    "sampler_name": "Euler a",
-    "width": 1024,
-    "height": 1472,
-    "batch_size": 1,
-    "n_iter": 1,
-    "seed": 1,
-    "cfg_scale": 3,
-    "CLIP_stop_at_last_layers": 2,
-    "init_images": [encoded_image],
-    # 面部修复 face fix
-    "restore_faces": False,
-
-    # 高清修复 highres fix
-    # "enable_hr": True,
-    "denoising_strength": 0.5,
-    # "hr_scale": 2,
-    # "hr_upscaler": "Latent",
-    "alwayson_scripts": {
-        "ControlNet": {
-            "args": [
-                {
-                    "enabled": True,
-                    "model": "ip-adapter_instant_id_sdxl [eb2d3ec0]",
-                    "module": "instant_id_face_embedding",
-                    "weight": 1,
-                    "resize_mode": "Crop and Resize",
-                    "guidance_start": 0,
-                    "guidance_end": 1,
-                    "pixel_perfect": True,
-                    "processor_res": 512,
-                    "save_detected_map": True,
-                    "input_image": encoded_source_image,
-                    "control_mode": "My prompt is more important"
-                },
-                {
-                    "enabled": True,
-                    "model": "control_instant_id_sdxl [c5c25a50]",
-                    "module": "instant_id_face_keypoints",
-                    "weight": 1,
-                    "resize_mode": "Crop and Resize",
-                    "guidance_start": 0,
-                    "guidance_end": 1,
-                    "pixel_perfect": True,
-                    "processor_res": 512,
-                    "save_detected_map": True,
-                    "input_image": encoded_image,
-                    "control_mode": "ControlNet is more important"
-                }
-            ]
-        }
-    }
-}
-
-#payload["alwayson_scripts"]["ControlNet"]["args"][0]["input_image"] = encoded_source_image
-#payload["alwayson_scripts"]["ControlNet"]["args"][1]["input_image"] = encoded_image
-
-response = requests.post(url=f'{url}/sdapi/v1/img2img', json=payload)
-r = response.json()
-image = Image.open(io.BytesIO(base64.b64decode(r['images'][0])))
-
-image.show()
-image.save('output.png')

BaiHu/Test/TestImg2Img.py

@@ -1,33 +1,92 @@
-from Util import ConfigUtil
+import requests
-from Util.CommonUtil import *
+import io
+import base64
+from PIL import Image
+import cv2
 
-if __name__ == '__main__':
+def encode_image(image_path):
-    # 配置文件
+    with open(image_path, "rb") as i:
-    config = ConfigUtil.getConfig()
+        b64 = base64.b64encode(i.read())
-    # 图生图服务地址
+    return b64.decode("utf-8")
-    img2img_url = config['webui']['img2img_url']
 
-    # 用户传的源图
+url = "http://192.168.1.21:7860"
-    source_img = "../Image/1ae93e2587822c291362abf9504cb49ec.jpeg"
 
-    # 参照图片路径
+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>,"
-    refer_img = "../Image/28/1.jpg"
+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,"
 
-    # 生成的JSON文件
+# 此处为读取一张图片作为输入图像
-    with open("../JSON/28_1.json", 'r', encoding='utf-8') as f:
+encoded_image = encode_image('../Image/28/1.jpg')
-        v_data = json.load(f)
+encoded_source_image =encode_image('../Image/1ae93e2587822c291362abf9504cb49ec.jpeg')
 
-    # 源图
+payload = {
-    source_image = encode_image(source_img)
+    # 模型设置
-    refer_image = encode_image(refer_img)
+    "override_settings": {
-    # https://blog.csdn.net/wangwenzhe222/article/details/139059131
+        "sd_model_checkpoint": "绪儿-一青十色XL_V2 VAE.safetensors [9f9290ac66]",
-    # ControlNet
+        "sd_vae": "Automatic"
-    #v_data['alwayson_scripts']['ControlNet']['args'][0]['image'] = source_image
+    },
-    #v_data['alwayson_scripts']['ControlNet']['args'][1]['image'] = refer_image
+    # 基本参数
-    v_data['init_images'] = [refer_image]
+    "prompt": prompt,
+    "negative_prompt": negative_prompt,
+    "steps": 30,
+    "sampler_name": "Euler a",
+    "width": 1024,
+    "height": 1472,
+    "batch_size": 1,
+    "n_iter": 1,
+    "seed": 1,
+    "cfg_scale": 3,
+    "CLIP_stop_at_last_layers": 2,
+    "init_images": [encoded_image],
+    # 面部修复 face fix
+    "restore_faces": False,
 
-    #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
+    # 高清修复 highres fix
+    # "enable_hr": True,
+    "denoising_strength": 0.5,
+    # "hr_scale": 2,
+    # "hr_upscaler": "Latent",
+    "alwayson_scripts": {
+        "ControlNet": {
+            "args": [
+                {
+                    "enabled": True,
+                    "model": "ip-adapter_instant_id_sdxl [eb2d3ec0]",
+                    "module": "instant_id_face_embedding",
+                    "weight": 1,
+                    "resize_mode": "Crop and Resize",
+                    "guidance_start": 0,
+                    "guidance_end": 1,
+                    "pixel_perfect": True,
+                    "processor_res": 512,
+                    "save_detected_map": True,
+                    "input_image": encoded_source_image,
+                    "control_mode": "My prompt is more important"
+                },
+                {
+                    "enabled": True,
+                    "model": "control_instant_id_sdxl [c5c25a50]",
+                    "module": "instant_id_face_keypoints",
+                    "weight": 1,
+                    "resize_mode": "Crop and Resize",
+                    "guidance_start": 0,
+                    "guidance_end": 1,
+                    "pixel_perfect": True,
+                    "processor_res": 512,
+                    "save_detected_map": True,
+                    "input_image": encoded_image,
+                    "control_mode": "ControlNet is more important"
+                }
+            ]
+        }
+    }
+}
 
-    response = submit_post(img2img_url, v_data)
+#payload["alwayson_scripts"]["ControlNet"]["args"][0]["input_image"] = encoded_source_image
-    save_encoded_image(response.json()['images'][0], "../Out/result.png")
+#payload["alwayson_scripts"]["ControlNet"]["args"][1]["input_image"] = encoded_image
 
+response = requests.post(url=f'{url}/sdapi/v1/img2img', json=payload)
+r = response.json()
+image = Image.open(io.BytesIO(base64.b64decode(r['images'][0])))
+
+image.show()
+image.save('output.png')