class StableDiffusionXLInstantIDPipeline(StableDiffusionXLControlNetPipeline): def cuda(self, dtype=torch.float16, use_xformers=False): self.to('cuda', dtype) if hasattr(self, 'image_proj_model'): self.image_proj_model.to(self.unet.device).to(self.unet.dtype) if use_xformers: ...
class StableDiffusionXLInstantIDImg2ImgPipeline(StableDiffusionXLControlNetImg2ImgPipeline): def cuda(self, dtype=torch.float16, use_xformers=False): self.to("cuda", dtype)if hasattr(self, "image_proj_model"): self.image_proj_model.to(self.unet.device).to(self.unet.dtype)...
from pipeline_stable_diffusion_xl_instantid import StableDiffusionXLInstantIDPipeline, draw_kps # prepare 'antelopev2' under ./models # https://github.com/deepinsight/insightface/issues/1896#issuecomment-1023867304 app = FaceAnalysis(name='antelopev2', root='./', providers=['CUDAExecutionProvider',...
| OneDiff v0.12.1可以帮你在生产环境中稳定加速SD&SVD。本次更新包含以下亮点,欢迎安装新版本获得更好的加速体验! #OneDiff #Stable Diffusion * SDXL 和 SVD 的 SOTA 性能更新* 全面支持SD、SVD动态分辨率运行* 编译/保存/加载HF Diffusers的pipeline* HF Diffusers的快速 LoRA 加载和切换* 加速了 InstantID...
class StableDiffusionXLInstantIDPipeline(StableDiffusionXLControlNetPipeline): def cuda(self, dtype=torch.float16, use_xformers=False): self.to('cuda', dtype) if hasattr(self, 'image_proj_model'): self.image_proj_model.to(self.unet.device).to(self.unet.dtype) if use_xformers: ...
StableDiffusionXLInstantIDImg2ImgPipeline中749行的self.check_inputs多了两个None Member haofanwang commented Jul 27, 2024 应该是diffusers官方参数有更新,可以将pipeline中的参数按名字指定 Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Assignees ...
FreeStyle : Free Lunch for Text-guided Style Transfer using Diffusion Models - FreeStyle/diffusers_test/pipeline_stable_diffusion_xl.py at main · FreeStyleFreeLunch/FreeStyle
>>> from pipeline_stable_diffusion_xl_instantid import StableDiffusionXLInstantIDPipeline, draw_kps >>> # download 'antelopev2' under ./models >>> app = FaceAnalysis(name='antelopev2', root='./', providers=['CUDAExecutionProvider', 'CPUExecutionProvider']) >>> app.prepare(ctx_id...
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX. - diffusers/src/diffusers/pipelines/auto_pipeline.py at main · huggingface/diffusers
The implementation of "An item is Worth a Prompt: Versatile Image Editing with Disentangled Control" - d-edit/pipeline_dedit_sdxl.py at main · collovlabs/d-edit