Better Prompt:Stable Diffusion Web UI的提示词优化插件 这个Stable Diffusion提示词插件看着不错,跟月维的类似,只不过他是直接在Web UI中直接生效的。它支持提示词拖动顺序。还有一些特色功能支持用颜色标注提示词类型比如Lora就是蓝色,支持正负向提示词反转。还会用颜色的深浅来标注同一类提示词的权重。很直观。
#开源项目推荐#:sd-webui-better-prompt Stable Diffusion web UI的一个插件,让你可以更容易的添加和编辑prompt 🔗 github.com/eideehi/sd-webui-better-prompt 顺便说一下,如果你想本机运行Stable Diffusio...
Better Prompt English |日本語 Better Prompt is an extension of theStable Diffusion web UIthat adds a UI to assist with prompt input and editing. Overview Better Prompt was created to reduce the various inconveniences of traditional prompt input and editing. It allows you to set Textual Inversion...
You can also install it by executing the following command in the directory where Stable Diffusion web UI is installed. git clone https://github.com/zhongpei/sd-webui-better-prompt.git extensions/sd-webui-better-prompt Better Prompt is not displayed or the display is broken ...
The generations below use the same model, same prompt, and same seed. The only difference is the presence of the LoRA: no LoRA usingColorwater(style LoRA) no LoRA usingHanfu(clothing LoRA) no LoRA usingAnime Lineart(style LoRA) You can use LoRAs with any Stable Diffusion model, so long...
So, even though you can sign up for Stable Assistant, type in a prompt, and get an image as good as anything produced by DALL·E 3, there's a lot of drama going on behind the scenes, which makes things more complicated. Stable Diffusion is more powerful For all its ease of use,...
LoRAs (Low-Rank Adaptations) are smaller files (anywhere from 1MB ~ 200MB) that you combine with an existing Stable Diffusion checkpoint models to ... Read more How to use negative prompts You should reading the prompting guide before proceeding. This will give you an idea of where to find...
When improving faces with Stable Diffusion, the bulk of the work comes down to writing appropriate prompts. The system relies on this feature to generate an image using the “txt2img” technology. It uses the text prompt and other parameters to produce a picture based on your input. ...
export_path: mgm_pretrain_stage_1_diffusion.jsonl-200k.jsonl np: 4 process: - image_diffusion_mapper: hf_diffusion: '/home/admin/.cache/modelscope/hub/ai-modelscope/stable-diffusion-v1-5/' # You can replace this path to a local downloaded HF model ...
Method5:diffusion模型生成图像 新建一个 download_sd_v1_4.py,直接执行即可; python frommodelscopeimportsnapshot_downloadmodel_dir = snapshot_download('AI-ModelScope/stable-diffusion-v1-4',cache_dir='/mnt/workspace/better_synth_challenge_baseline/models',revision='master') ...