Purpose
awesome-ai-painting is a resource collection repository for AI painting learners. The author is Qiufeng (hua1995116), who states that he began engaging with the AIGC industry in mid-2022, initially focusing on evangelizing AI painting. The repository aims to help more people learn AI painting and records the author's goal of building 100 AI products (self-reported progress 4/100).
Main Capabilities (content covered by the materials)
- Material types: platforms available domestically and internationally, usage tutorials, parameter tutorials, deployment tutorials, industry news, etc.
- Models/tools involved: Stable diffusion, AnimateDiff, Stable Cascade, Stable SDXL Turbo, Flux.1, ChatTTS, SVD (Stable diffusion Video), etc.
- AnimateDiff advanced application categories (as stated in the materials): cli, comfyui, webui, three methods. The author believes the ease of getting started is webui > comfyui > cli. None of the three can replace the others; they merely differ in human-computer interaction interfaces, and all methods can achieve consistent results; at present, the webui plugin still has some gray-image issues with certain models, but its ecosystem is stronger.
- Related link examples (listed in the materials):
- AnimateDiff cli: https://github.com/s9roll7/animatediff-cli-prompt-travel
- ComfyUI-AnimateDiff-Evolved: https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved
- sd-webui-animatediff: https://github.com/continue-revolution/sd-webui-animatediff
- Model download example: https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0、https://huggingface.co/stabilityai/stable-diffusion-2-1-base、https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt、https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt、https://huggingface.co/acheong08/secretAI/resolve/main/stableckpt/animefull-final-pruned/model.ckpt
- Deployment related: https://github.com/fboulnois/stable-diffusion-docker、https://github.com/AbdBarho/stable-diffusion-webui-docker、https://github.com/divamgupta/diffusionbee-stable-diffusion-ui
- Prompt/element materials: https://docs.qq.com/doc/DWHl3am5Zb05QbGVs、http://wolfchen.top/tag/、https://aitag.top/、https://tags.novelai.dev/、https://spell.novelai.dev/
- Prompt tools: https://arthub.ai/、https://lexica.art/、https://www.krea.ai/、https://promptomania.com/stable-diffusion-prompt-builder/、https://prompt.noonshot.com/midjourney、https://huggingface.co/spaces/doevent/prompt-generator、https://midjourney-prompt-helper.netlify.app/、https://promptsalsa.com/midjourney-prompt-generator/、http://www.prompttool.com/、http://dev.kanotype.net:8003/deepdanbooru/
- Video tutorial examples: https://www.youtube.com/watch?v=RDH5lyurock、https://www.youtube.com/watch?v=Jh0kJl7duXM
Usage
This repository itself is provided in the form of a resource collection. Users can learn AI painting by reading the tutorials, parameter explanations, deployment guides, and links within it. The materials involve methods such as ComfyUI, WebUI, Colab deployment, and Docker deployment, but the specific operating steps should be based on the corresponding links and tutorial content within the repository.
Applicable Scenarios
- Beginners who want to systematically understand AI painting (Stable Diffusion, etc.).
- Users who need to find model downloads, prompt elements, deployment solutions, and parameter tutorials.
- Learners interested in AI video/animation generation such as AnimateDiff and SVD.
Limitations and Information Not Yet Provided
- The materials do not provide unified explanations of fees, prices, platform availability, or effect guarantees.
- Detailed information about the specific functions, fees, and usage conditions of the author's personal products mentioned in the repository (MewXAI Painting, Xingyuexiong, Yiying AI, image upscaling and enhancement GoEnhance AI, video-to-video Video2Video, GPTs-SEO optimization, stablediffusion3, etc.) is not yet provided in the materials.
- The availability and content timeliness of some third-party links cannot be confirmed from the materials.
