Сайт модели: https://haveall.net/
На сайте можно найти много разных дополнений, инструкций и тысячи готовых промптов.
Чтобы обновления моделей выходили чаще, меня можно поддержать на бусти: https://boosty.to/artxtop
Для связи я в ВК
CFG Scale = 2
SHOWCASE HAVEALL MODEL -> https://haveall.net/ is featured on the model's website. The site shows several hundred examples with images and complete prompts for generation.
Recommendations for generating images with the Haveall model:
CFG Scale: 2
For portraits and realistic images, use CFG Scale: 2. For graphics, you can use CFG Scale: 3
Standard image resolution for generation: 768х768, 832х576, 576х832
You can generate images in other formats: 896х576, 832х512
No Lora and embeddings are required, just simple prompts.
A ComfyUI workflow
Link -> https://civarchive.com/posts/1450922
Includes two parts:
- Simple Generation
- Upscale
Can be generated with the first option, or together with Upscale
Description
CFG Scale = 2
SHOWCASE HAVEALL MODEL -> https://haveall.net/ is featured on the model's website. The site shows several hundred examples with images and complete prompts for generation.
Recommendations for generating images with the Haveall model:
CFG Scale: 2
For portraits and realistic images, use CFG Scale: 2. For graphics, you can use CFG Scale: 3
Standard image resolution for generation: 768х768, 832х576, 576х832
You can generate images in other formats: 896х576, 832х512
No Lora and embeddings are required, just simple prompts.
So, what's new?
The first Haveall model was trained on the SD 1.5 DPO model. In March, UCLA-AGI introduced the SPIN-Diffusion model, which is superior to the SD 1.5 DPO model.
To train Haveall XV2, I used LEOSAM's FilmGirl Ultra, which was trained on the SPIN-Diffusion model. LEOSAM's FilmGirl Ultra was used as a base model on which I trained a dataset of 6k images to my specific settings. The result was the Haveall XV2 model.