Zyrnox
Look at the thumbnail images for examples except for "V1.5 - Refined" that was with the NOT recommended steps. I gave up on descriptions and names, lol. Feel free to tip the model and leave a review if you enjoy it. This is a Pony-SDXL Hybrid Merge. V2.0 is NoobAI mostly, V1.0 is pony mostly.
V1.0 - Unrefined Recommended Settings:
Steps: 25 - 30
CFG: 4 - 6
Sampler: Euler / Euler A / DPM++ 2M (Haven't tested with other samplers)
Scheduler: Normal / Karras (Haven't tested with other schedulers)
V1.0 - Refined Recommended Settings:
Steps: 25 - 30
CFG: 3.5 - 7
Sampler: Euler (Haven't tested with other samplers)
Scheduler: Normal (Haven't tested with other schedulers)
Note: You may have to regenerate with different seeds a couple of times it isn't 100% accurate, like many other models. You need proper pony scores. Positive Prompt should have "score_9, score_8_up, score_7_up" Negative Prompt should have "score_6_up, score_5_up, score_4_up".
V1.5 - Unrefined Recommended Settings:
Steps: 28 or higher
CFG: 4.5 or higher
Sampler: Euler (Haven't tested with other samplers)
Scheduler: Normal (Haven't tested with other schedulers)
Recommended Negative Prompt: worst quality, old, early, low quality, lowres, signature, artist name, signature, username, logo, bad hands, mutated hands, loli, shota, young, child
Note: You may have to regenerate with different seeds a couple of times it isn't 100% accurate, like many other models. (Optional): Proper pony scores. Positive Prompt should have "score_9, score_8_up, score_7_up" Negative Prompt should have "score_6_up, score_5_up, score_4_up".
V1.5 - Refined Recommended Settings:
Steps: 30 or higher
CFG: 6
Sampler: Euler (Haven't tested with other samplers)
Scheduler: Normal (Haven't tested with other schedulers)
Note: You may have to regenerate with different seeds a couple of times it isn't 100% accurate, like many other models. This Version is only 11% V1.0 - Refined, so proper pony scores is OPTIONAL: Positive Prompt should have "score_9, score_8_up, score_7_up" Negative Prompt should have "score_6_up, score_5_up, score_4_up".
Model is supported and on Tensor, CivitAI and PixAI.
Note: V1.0 Unrefined is highly unpredictable on tensor.
⚠️ IF YOU'RE GOING TO STEAL MY MODELS, MAKE IT SO THE DOWNLOAD IS ENABLED. THIS WORKS BETTER LOCALLY. - Zyrnox ⚠️
https://pixai.art/model/1819844909782505939, https://civitai.com/models/996671, https://tensor.art/models/802153041936582220
How V2.0 - Unrefined or rather it becoming NoobAI was made:
What is Ecliptica-ArcaneX?
Ecliptica-ArcaneX is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user Zyrnox. Derived from the powerful Stable Diffusion (SDXL 1.0) model, Ecliptica-ArcaneX has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Ecliptica-ArcaneX is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, base model, woman.
With a rating of 0 and over 0 ratings, Ecliptica-ArcaneX is a popular choice among users for generating high-quality images from text prompts.
Can I download Ecliptica-ArcaneX?
Yes! You can download the latest version of Ecliptica-ArcaneX from here.
How to use Ecliptica-ArcaneX?
To use Ecliptica-ArcaneX, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Ecliptica-ArcaneX, check out our crash course in AI image generation.
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Version V2.8: 1 File
About this version: V2.8
Used V2.0 and my Illunorou and two LoRAs to update this to V2.8. Since I wanted to fix the saturation, while still making this epsilon instead of v-pred.
9 Versions
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