然后创建一个以 inpainting 为条件的 ControlNet,并将其传入到StableDiffusionControlNetInpaintPipeline中: fromdiffusersimportStableDiffusionControlNetInpaintPipeline,ControlNetModel,UniPCMultistepSchedulercontrolnet=ControlNetModel.from_pretrained("lllyasviel/control_v11p_sd15_inpaint",torch_dtype=torch.float16,use...
# 此模型实现受 https://github.com/haofanwang/ControlNet-for-Diffusers/ 启发importinspect# 导入 inspect 模块,用于获取对象信息fromtypingimportAny,Callable,Dict,List,Optional,Tuple,Union# 导入类型提示工具importnumpyasnp# 导入 numpy,用于数值计算importPIL.Image# 导入 PIL.Image,用于图像处理importtorch# ...
2.2 controlnet pipeline 以文生图controlnet为例: from diffusers import StableDiffusionControlNetPipeline, ControlNetModel from PIL import Image import torch control_image = Image.open("canny.png").convert("RGB") canny_controlnet = ControlNetModel.from_pretrained( pretrained_model_name_or_path=...
patrickvonplaten changed the title Correct timestep inpaint [Stable Diffusion Inpaint & ControlNet inpaint] Correct timestep inpaint Jun 12, 2023 patrickvonplaten merged commit 38adcd2 into main Jun 12, 2023 patrickvonplaten deleted the correct_timesteps_inpaint branch June 12, 2023 11:59 pa...
Describe the bug I'm using the stable_diffusion_controlnet_inpaint pipeline - I know this is a community pipeline, but I'm filing here as it seems likely this will be added to the main src at some point. Pretty much all the controlnet me...
py", line 1, in <module> from internal_controlnet.external_code import * F...
ControlNet 是一种神经网络结构,可以通过添加额外条件对扩散模型进行细粒度控制。 该技术随论文 Adding Conditional Control to Text-to-Image Diffusion Models 首次亮相,并迅速接管了开源扩散社区作者发布的 8种不同条件来控制 Stable Diffusion v1-5,包括姿态估计、深度图、canny 边缘、草图等。在这篇博文中,我们...
()exceptOptionalDependencyNotAvailable:# 捕获异常时,从 utils 中导入虚拟对象from...utils.dummy_torch_and_transformers_objectsimport*else:# 如果库可用,导入具体的管道实现from.pipeline_pag_controlnet_sdimportStableDiffusionControlNetPAGPipelinefrom.pipeline_pag_controlnet_sd_xlimportStableDiffusionXLControlNet...
img Introduction Diffusers是一个能够生成图像、语音、三维分子结构,且包含SOTA扩散模型的训练、推理工具箱 features DiffusionPipeline 是一个高级端到端类,旨在从预训练的扩散模型中快速生成用于推理的样本。 SOTA预训练模型架构和模块,可用作创建扩散模型的构件。
fix: controlnet inpaint single file. by @sayakpaul in #6975 [docs] IP-Adapter by @stevhliu in #6897 fix IPAdapter unload_ip_adapter test by @yiyixuxu in #6972 [advanced sdxl lora script] - fix #6967 bug when using prior preservation loss by @linoytsaban in #6968 ...