⚡ EARLY ACCESS — Limited time only. This model is available for direct download for 15 days only. After that: Generation Only on Civitai. No more downloads here. Get the best pricing in the official store.
→ Get it now for much cheaper prices, skip the wait:
🛒 Ko-fi · TensorArt ✅ Card & PayPal accepted — no crypto, no Buzz, no queues ✅ Instant download · Priority support
Also available:
Event Horizon ZIT 2.0 (Kofi)
Event Horizon XL 7.0 (Kofi)
Get the complete Event Horizon collection with all the future updates included→ Ko-fi
⚙️ Recommended settings with Z-Image Turbo versions:
8 steps, cfg1, Euler or DPM++ 2s a RF sampler, Normal or Simple or Beta scheduler, 832x1216, 1024x1536 or 1280x1920 pixels
Upscaling:
8 steps, cfg1, Euler sampler, Normal or Simple or Beta scheduler, 1.5x upscale
Important: remember that you need to place qwen3_4b.safetensors in the text_encoder sub folder and ae.safetensors in the VAE sub folder for Z-Image Turbo to work properly.
⚙️ Recommended settings with SDXL versions with DMD2 lora:
Sampler: LCM Karras / Exponential
CFG: 1-1.3 (recommended is 1)
Steps: 8 - 12 steps
Resolution: 896x1152 / 832x1216
Clip Skip: 2
VAE is bundled in, you don't need to download anything else.
⚙️ Normal SDXL Recommended Settings:
Sampling method: DPM++ 2M SDE Karras
VAE: is already Baked In
Sampling steps: 30+ Steps
Resolution: 832x1216 / 896x1152 CFG: 3-5
Clip Skip: 2
Upscale: 1.5 upscale (0.3 - 0.35 denoise)
Upscalers: 4x_NickelbackFS_72000_G / 4x_foolhardy_Remacri / 4x_NMKD-Siax_200k
Description
Public release of EventHorizon XL.
FAQ
Comments (17)
It’s out! Huge congrats, man!
Thanks for everything, mate!
Looks amazing 😍 Well done!
Hi, thanks janxd! I'm a big fan of your work!
Came over from your reddit post, very impressive, keep up the great work, hope to see more.
incredibly good checkpoint. I'm glad SDXL is not only still alive, but can still be improved!
Oh hi JabGal. Yes, EventHorizonXl pushes hard the sdxl architecture, but i think there's still a lot of room for improvement. Your feedback and the pictures you're all posting are extremely useful to gather data (prompts, loras, limitations of the model) to improve the model. Thanks.
It has real potential. The image quality is great, the prompt adherence is pretty good. This is the first lightning model that I actually want to keep exploring and creating with. The results are much better than I usually get.
I exclusively use XL models that have a very wide range of ethnic diversity. But this model seems to ignore ethnic prompts. "woman with red hair" is as ethnic as I can get.
I may not know how to prompt for this model type, I admit. So maybe someone can tell me if there is a tag format or trick to getting more diverse results?
There does seem to be a lot of different faces at least, so I'm very happy about that.
Great for speed - I got batch of 9 photos in 1min at Rtx3060
Very flexible checkpoint with some excellent anatomy. Produces brilliant images from prompts that are quite short so its very good at interpreting. Excellent stuff. A new fav checkpoint.
Wow I got this running and it seems amazing so far. I am new and used to using the weighting system in prompts, so I am wondering, what is this and how to use it: score_9, score_8_up, score_7_up? thank you!
Oh nevermind. Those are pony tags. You can use EH without those. It will work perfectly fine. Natural speech is fine and dandy.
@ElectricDreams Ah okay thank you! One more thing, how can we use this to make video? Do you have any possible workflow in mind? So far the only thing I was going to try was to generate an image, and use HunYuan img to video. But if there is a way to use your setup directly that seems like it would be amazing. Thank you again for the great work on this!
@bbollard21873 I'm sorry. I have zero experience with Ai video.
I feel like i should have explained pony tags, so here it goes: Y
You just simply have to write:
score_9, score_8_up, score_7_up, realistic, masterpiece, best quality, highres, real life, real life,
at the beginning of the prompt
and in negatives you can write this:
score_6, score_5, score_4, (worst quality:1.2), (low quality:1.2), (normal quality:1.2), lowres, bad anatomy, bad hands, signature, watermarks, ugly, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, extra limb, missing limbs
It's about the score system and how pony was trained. Event Horizon has no pony model in it but it has Lustify which includes BigAsp (which used this tag system).
I admire your prompts for being very creative. Cheers for the inspirations.
Thanks! You're very kind. Cheers!