最后重启krita,找到配置krita > Python插件管理 > Stable Diffusion Plugin插件,勾选即可 安装好如下图所示 使用方法大同小异,无非就是画蒙版 > 调整图生图参数 > 重绘,但是krita似乎没有outpain功能,krita和PS有些相同,也是按照图层来,也有图层蒙版,详细的操作流程可参考github https://github.com/Interpause/auto...
The text encoder transforms the text prompt into an embedding space, which is further fed to guide the denoising process (we’ll get there shortly). Stable diffusion initially used a frozen, pre-trained CLIP ViT-L/14 to create embeddings; however, improved variants switched to OpenCLIP, which...
pre-trained stable-diffusion-v1-5 fine-tuned stable-diffusion-v1-5 (no inpainting) fine-tuned stable-diffusion-v1-5 (inpainting) Inference with Random Mask pre-trained stable-diffusion-inpainting fine-tuned stable-diffusion-inpainting pre-trained stable-diffusion-v1-5 fine-tuned stable-diffusion-...
In AUTOMATIC1111 GUI, Select theimg2imgtab and select theInpaintsub-tab. Upload the image to the inpainting canvas. We will inpaint both the right arm and the face at the same time. Use the paintbrush tool to create amask. This is the area you want Stable Diffusion to regenerate the im...
While FaceSwapLab is still under development, it has reached a good level of stability. This makes it a reliable tool for those who are interested in face-swapping within the Stable Diffusion environment. As with all projects of this type, it’s expected to improve and evolve over time. ...
Stable Inpainting [35] 5.84 10.98 0.261 7.07 12.57 0.264 SmartBrush [45] 4.70 7.82 0.263 6.00 9.71 0.266 CAT-Diffusion (ours) 3.99 6.32 0.263 5.02 7.76 0.265Table 2: Quantitative performance comparisons on the test set of MSCOCO. Parse references With Segmentation Mask With Bounding Box Mask ...
A diffusion process propagates linear structures of equal grey value (isophotes) of the surrounding area into the gap region. Although these algorithms preserve well linear structures, the diffusion process introduces some blurring when filling in large regions. Finally, exemplar-based methods are of ...
The former is traditional diffusion-based or patch-based methods with low-level features. The latter learns the se- mantics of image to fulfill the inpainting task and generally 4171 Figure 2. The architecture of our model. We add the CSA layer at the resolution of 32×32 in refinement ...
While FaceSwapLab is still under development, it has reached a good level of stability. This makes it a reliable tool for those who are interested in face-swapping within the Stable Diffusion environment. As with all projects of this type, it’s expected to improve and evolve over time. ...
You can download the stable-diffusion-v1-5 model from the website "https://huggingface.co/runwayml/stable-diffusion-v1-5" and save it to your local path. Run Examples We provide three types of conditions to guide the inpainting process: text, spatial controls, and reference images. Each ...