gen-efficientnet-pytorch
multi-subject-render
| gen-efficientnet-pytorch | multi-subject-render | |
|---|---|---|
| 2 | 18 | |
| 1,559 | 359 | |
| - | - | |
| 10.0 | 2.5 | |
| almost 2 years ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | - |
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gen-efficientnet-pytorch
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My depth2mask extension is ready (works with 1.5 and the webui)
if cache isn't there, you can also download it from https://github.com/rwightman/gen-efficientnet-pytorch
- how to properly import module from another folder?
multi-subject-render
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Creating pictures of multiple people with distinct faces
You can use the multi subject renderer https://github.com/Extraltodeus/multi-subject-render.git
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Can I use SD to generate group pictures (of say, me and my cousin, or me and multiple cousins)?
Get this Extension, and as always, please read the docs to avoid problems.
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Find it hard to tune my prompt for more than 2 characters
There's also a script/extension https://github.com/Extraltodeus/multi-subject-render but it's fiddily to get work right, and i think the other workflow is faster.
- Textual Inversion: TI TLDR for the Lazy. How to Make Fake People: Simple TI Traning Using 6 Images and very low Settings. Bonus 1: How to Make Fake People that Look Like Anything you Want. Bonus 2: Why 1980s Nightcrawler dont care about your prompts. With Unedited Image Samples.
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How to do Multiple chars in 1 image
There are some ideas to create multiple different subjects, such as this extension for automatic (https://github.com/Extraltodeus/multi-subject-render), or Area Composition if you are using ComfyUI (https://comfyanonymous.github.io/ComfyUI_examples/area_composition/).
- How to detail 2 objects, each with its own qualities in prompt?
- Ladies in sexy pajamas
- Uhhhhh
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Tips for creating picture with multiple characters?
you can do it with https://github.com/Extraltodeus/multi-subject-render but i don't really know how to use it
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What are you struggling to do?
There is an extension called multi-subject-render that allows you to provide one prompt for the background and a second prompt for the foreground.
What are some alternatives?
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more [Moved to: https://github.com/huggingface/pytorch-image-models]
stable-diffusion-webui-depthmap-script - High Resolution Depth Maps for Stable Diffusion WebUI
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
stable-diffusion-webui-distributed - Chains stable-diffusion-webui instances together to facilitate faster image generation.
MEAL-V2 - MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
depthmap2mask - Create masks out of depthmaps in img2img
sdweb-merge-board - Multi-step automation merge tool. Extension/Script for Stable Diffusion UI by AUTOMATIC1111 https://github.com/AUTOMATIC1111/stable-diffusion-webui
sd-webui-reactor-force - Fast and Simple Face Swap Extension for StableDiffusion WebUI (A1111, SD.Next, Cagliostro) with NVIDIA GPU Support
MiDaS - Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Lora-for-Diffusers - The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥
stable-diffusion-webui-composable-lora - This extension replaces the built-in LoRA forward procedure.
3d-photo-inpainting - [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting