rename to iopaint

2024-01-05 15:19:23 +08:00
parent f1f18aa6cd
commit a73e2a531f
101 changed files with 180 additions and 253 deletions
--- a/iopaint/model/sd.py
+++ b/iopaint/model/sd.py
@@ -0,0 +1,114 @@
+import PIL.Image
+import cv2
+import torch
+from loguru import logger
+
+from iopaint.model.base import DiffusionInpaintModel
+from iopaint.model.helper.cpu_text_encoder import CPUTextEncoderWrapper
+from iopaint.model.utils import handle_from_pretrained_exceptions
+from iopaint.schema import InpaintRequest, ModelType
+
+
+class SD(DiffusionInpaintModel):
+    pad_mod = 8
+    min_size = 512
+    lcm_lora_id = "latent-consistency/lcm-lora-sdv1-5"
+
+    def init_model(self, device: torch.device, **kwargs):
+        from diffusers.pipelines.stable_diffusion import StableDiffusionInpaintPipeline
+
+        fp16 = not kwargs.get("no_half", False)
+
+        model_kwargs = {}
+        if kwargs["disable_nsfw"] or kwargs.get("cpu_offload", False):
+            logger.info("Disable Stable Diffusion Model NSFW checker")
+            model_kwargs.update(
+                dict(
+                    safety_checker=None,
+                    feature_extractor=None,
+                    requires_safety_checker=False,
+                )
+            )
+
+        use_gpu = device == torch.device("cuda") and torch.cuda.is_available()
+        torch_dtype = torch.float16 if use_gpu and fp16 else torch.float32
+
+        if self.model_info.is_single_file_diffusers:
+            if self.model_info.model_type == ModelType.DIFFUSERS_SD:
+                model_kwargs["num_in_channels"] = 4
+            else:
+                model_kwargs["num_in_channels"] = 9
+
+            self.model = StableDiffusionInpaintPipeline.from_single_file(
+                self.model_id_or_path, dtype=torch_dtype, **model_kwargs
+            )
+        else:
+            self.model = handle_from_pretrained_exceptions(
+                StableDiffusionInpaintPipeline.from_pretrained,
+                pretrained_model_name_or_path=self.model_id_or_path,
+                variant="fp16",
+                dtype=torch_dtype,
+                **model_kwargs,
+            )
+
+        if kwargs.get("cpu_offload", False) and use_gpu:
+            logger.info("Enable sequential cpu offload")
+            self.model.enable_sequential_cpu_offload(gpu_id=0)
+        else:
+            self.model = self.model.to(device)
+            if kwargs["sd_cpu_textencoder"]:
+                logger.info("Run Stable Diffusion TextEncoder on CPU")
+                self.model.text_encoder = CPUTextEncoderWrapper(
+                    self.model.text_encoder, torch_dtype
+                )
+
+        self.callback = kwargs.pop("callback", None)
+
+    def forward(self, image, mask, config: InpaintRequest):
+        """Input image and output image have same size
+        image: [H, W, C] RGB
+        mask: [H, W, 1] 255 means area to repaint
+        return: BGR IMAGE
+        """
+        self.set_scheduler(config)
+
+        img_h, img_w = image.shape[:2]
+
+        output = self.model(
+            image=PIL.Image.fromarray(image),
+            prompt=config.prompt,
+            negative_prompt=config.negative_prompt,
+            mask_image=PIL.Image.fromarray(mask[:, :, -1], mode="L"),
+            num_inference_steps=config.sd_steps,
+            strength=config.sd_strength,
+            guidance_scale=config.sd_guidance_scale,
+            output_type="np",
+            callback_on_step_end=self.callback,
+            height=img_h,
+            width=img_w,
+            generator=torch.manual_seed(config.sd_seed),
+        ).images[0]
+
+        output = (output * 255).round().astype("uint8")
+        output = cv2.cvtColor(output, cv2.COLOR_RGB2BGR)
+        return output
+
+
+class SD15(SD):
+    name = "runwayml/stable-diffusion-inpainting"
+    model_id_or_path = "runwayml/stable-diffusion-inpainting"
+
+
+class Anything4(SD):
+    name = "Sanster/anything-4.0-inpainting"
+    model_id_or_path = "Sanster/anything-4.0-inpainting"
+
+
+class RealisticVision14(SD):
+    name = "Sanster/Realistic_Vision_V1.4-inpainting"
+    model_id_or_path = "Sanster/Realistic_Vision_V1.4-inpainting"
+
+
+class SD2(SD):
+    name = "stabilityai/stable-diffusion-2-inpainting"
+    model_id_or_path = "stabilityai/stable-diffusion-2-inpainting"