Update app.py

app.py

@@ -13,7 +13,6 @@ mod.rgb_to_grayscale = F.rgb_to_grayscale
 sys.modules["torchvision.transforms.functional_tensor"] = mod
 # ---------------------------------------------------------------------------
 
-
 import os, subprocess, cv2, torch, spaces, gradio as gr, numpy as np
 from pathlib import Path
 from PIL import Image
@@ -128,16 +127,16 @@ face_app = FaceAnalysis(name="buffalo_l", root=str(CACHE_ROOT), providers=provid
 face_app.prepare(ctx_id=(0 if torch.cuda.is_available() else -1), det_size=(640, 640))
 
 # ControlNet + SD パイプライン
-controlnet = ControlNetModel.from_pretrained(
-    "InstantX/InstantID", subfolder="ControlNetModel", torch_dtype=dtype
-)
+#controlnet = ControlNetModel.from_pretrained(
+#    "InstantX/InstantID", subfolder="ControlNetModel", torch_dtype=dtype
+#)
 pipe = StableDiffusionPipeline.from_single_file(
     BASE_CKPT, torch_dtype=dtype, safety_checker=None, use_safetensors=True, clip_skip=2
 )
 pipe.vae = AutoencoderKL.from_pretrained(
     "stabilityai/sd-vae-ft-mse", torch_dtype=dtype
 ).to(device)
-pipe.controlnet = controlnet
+#pipe.controlnet = controlnet
 pipe.scheduler = DPMSolverMultistepScheduler.from_config(
     pipe.scheduler.config, use_karras_sigmas=True, algorithm_type="sde-dpmsolver++"
 )
@@ -185,12 +184,9 @@ except Exception as e:
 # 4. プロンプト & 生成関数
 ##############################################################################
 BASE_PROMPT = (
-    "(masterpiece:1.2), best quality, ultra-realistic, RAW photo, 8k,\n"
-    "photo of {subject},\n"
-    "cinematic lighting, golden hour, rim light, shallow depth of field,\n"
-    "textured skin, high detail, shot on Canon EOS R5, 85 mm f/1.4, ISO 200,\n"
-    "<lora:ip-adapter-faceid-plusv2_sd15_lora:0.65>, (face),\n"
-    "(aesthetic:1.1), (cinematic:0.8)"
+    "masterpiece, ultra-realistic photo of {subject}, "
+    "cinematic lighting, shallow depth of field, textured skin, "
+    "Canon EOS R5 85 mm f/1.4, <lora:ip-adapter-faceid-plusv2_sd15_lora:0.65>"
 )
 NEG_PROMPT = (
     "ng_deepnegative_v1_75t, CyberRealistic_Negative-neg, UnrealisticDream, "
@@ -221,8 +217,8 @@ def generate(
         prompt=prompt,
         negative_prompt=neg,
         ip_adapter_image=img_in,
-        image=img_in,
-        controlnet_conditioning_scale=0.9,
+        #image=img_in,
+        #controlnet_conditioning_scale=0.9,
         num_inference_steps=int(steps) + 5,
         guidance_scale=cfg,
         width=int(w),