Lain2Waill16Pale3_V0.5b - Lain2Waill16Pale3_V0.5b Showcase
This model is the result of merging models WAI-illustrious-SDXL(V16,V14) + AniMayhem - Pale Rider V3 + Hassaku XL V3.4 . It is part of my model series(Lain2Waill16Pale3_V05b, LainHass4c_V0.4c, LainWaill14Pale2_V0.3a, LainWaillPale_V0.1a) and currently represents my best result so far.
WAI-illustrious-SDXL(V16,V14)https://civitai.com/models/827184/wai-illustrious-sdxl?modelVersionId=2514310
AniMayhem - Pale Rider V3https://civitai.com/models/1984400/animayhem-pale-rider?modelVersionId=2672638
Hassaku XL V3.4https://civitai.com/models/140272/hassaku-xl-illustrious
This model supports tag-based workflows, and is compatible with both ComfyUI and the WebUI API.
The usage of this model is practically identical to the models it was derived from, so you won’t find anything new in this regard. However, just in case, here’s how to use the model.
Using the model:
The model was trained primarily on images with minimal disruptive elements, such as floating text, logos, speech bubbles, or signatures. If any of these elements appear in an image, please include "signature" in your negative prompt.
A CFG scale between 3 and 7 is recommended. For best results, use CFG 6 with the Euler a sampler.
Refer to the example images, to understand, how the model should be used.
The model is designed to be simple and straightforward to prompt. Use the following tag order:
Number of characters
Character Tags
All remaining tags
Example: 1girl, rem \(re:zero\), standing, masterpiece, upper body
Here are some resolution options for SDXL:
1536 x 640
1344 x 768
1216 x 832
1152 x 896
1024 x 1024
896 x 1152
832 x 1216 (most recommended)
768 x 1344
640 x 1536
DPM++ 2M and 2M SDE
Karras
30-40 steps
Cfg under 5
Or
Euler A
Normal
20 steps
cfg 4.5 or lower
Lora use:
NoobAIs Loras working for the most part better in compare to Illustrious loras
Versions 2 and 3 is less compatible to most loras trained on Illustrious or Noob, because it got further trained away of both. Style A is still the most compatible for it.
Just a note: the model performs well on RTX 2060, 2070, and similar older GPUs. It also runs successfully on Linux with Radeon graphics cards.