Designed by Ktiseos Nyx.
We've been at this since January of 2023! If you're interested in supporting us in our long standing AI journey please scroll down for ways to connect & sponsor us! Currently if you're interested in having it on the generator please feel free to donate towards auction costs!
✨ Recommended Settings
To get the best out of ANY of our models, try these settings:
Samplers: Euler or Euler Ancestral *(SDXL) - Or your preferred DPM style for SD 1.5 - We don't have settings for Flux as we don't gen flux off Civitai just yet!
Scheduler: Karras
HiRes Fix:
Steps: 15
Denoise: 0.3
Upscale: 2x
Upscalers: Rex, 4x_Remacri, Lollypop or your personal favorite.
ADetailer: Use sparingly. Due to potential VAE differences, it might occasionally produce grey squares.
Embeddings: We've used some of our own custom embeddings to showcase character types in our examples, but no stylistic embeddings were necessary to achieve the core look.
Checkpoint Compatibility: Depends, not everything will behave.
🛠️ Training Details
If you're curious about what's the training details in full make sure to use this tool: https://xypher7.github.io/lora-metadata-viewer/
🙏 Acknowledgements
A huge thank you to the incredible community members whose work and inspiration contribute so much. Special mentions to:
Arthemy, Wai, Holostrawberry, FallenIncursio, RichyRich, JustTNP, Hoseki, CitronLegacy, Samael1976, Kairen92, ShadowxArt, Flyx3, YeiYeiart, LazyVisionary, and so many more! We try to train as much as we can ourselves, but the community's creativity is a constant source of inspiration.
🌟 About Ktiseos Nyx & Connect With Us!
Ktiseos Nyx is available for commissions! Find us and more of our creations here:
Discord: https://discord.gg/HhBSvM9gBY
Our Other Socials: https://beacons.ai/duskfallcrew
Sponsor Models & Commissions: https://ko-fi.com/duskfallcrew/commissions
TensorArt Space: https://tensor.art/u/611011406535381539
Dataset Tools: https://github.com/Ktiseos-Nyx/Dataset-Tools
💵 Training Costs Money!
While Civitai style trains usually cost buzz, testing and infrastructure to create better quality content to service our customers long term does cost money.
We're not looking to be the next Civitai at all, but AI has been a format of income outside of the inability to find regular work.
Donations, Commissions and Sponsorships are the backbone of our work!
Buzz donations work to keep our models on the generator that YOU the user choose! (This was originally a rarity, buy recently you've all chosen and we're all proud!)
Lora training can take time and effort, and while we do have cost layouts - if you're wanting a simple character lora you can use the Ko-Fi link shown in our link In Bio Above!
✨ Commission Details
If you're wondering why you're seeing a style lora or other loras ahead of your queue'd training or commission please see these FAQ lines:
Style Loras are usually developed independent of our normal training queues at the moment, as we use Civitai's platform to train them for use with our normal model making schedule during the month.
Character loras normally are trained as they come in, these semi depend on our own training service we've developed. Right now the NextJS system is almost complete for testing, and we will be resuming PAID and Free queues ASAP.
Concepts that are CLOSE to "STYLES" are again created using Civitai, at least on the short term. Once our main service has been completed we will amp up our schedule.
✨ Quick Details
What it is: XL_Neg is a special file (an "embedding") that you add to your Stable Diffusion negative prompts. It helps remove unwanted things from your generated images, resulting in clearer, better-quality results.
What it does: It helps reduce things like blurriness, low detail, distortions, and other common image problems. It works with all kinds of SDXL checkpoints and styles.
How it was made: It wasn't trained on images! It's made by combining the "digital codes" (tokens) that SDXL uses for words like "low quality," "blurry," etc., to create a new, more effective negative token.
File type: .safetensors
3. What to Expect:
Cleaner Images: Reduces common problems like blur, artifacts, and distortions.
Improved Detail: Helps create clearer, sharper images.
Better Negatives: It's like a shortcut for stronger and more comprehensive negative prompting, replacing the need for many negative keywords.
Works with Many SDXL Models: It should enhance images across a variety of SDXL checkpoints and styles.
Experimentation: Results might vary depending on the model, prompt, and settings.
Might Need Tweaking: You might need to adjust other things in your prompts or settings for best results.
4. Key Points:
Merged Tokens: Created by combining special digital "words" that SDXL already knows for negative concepts.
No Training: This isn't a model trained on images; it's a shortcut based on the existing SDXL vocabulary.
Might Be Unpredictable: Due to how it's made, it may not behave as a perfect combination of its tokens and may have unexpected results.
File Size: Small file size, doesn't take up a lot of space.
File Type: .safetensors
5. Things to keep in Mind:
Bias: It might have implicit preferences based on the original negative keywords.
Ethical Use: Be aware that enhancing images can be used for both good and bad purposes.
Play Around: Try different prompts and settings. It's all about getting creative and seeing what you can achieve.