<h1 id="entering:-the-ether-lab">★🧪 Entering: the Ether Lab 🧪★</h1>Ether Lab: A collection of experimental and WIP models that still feel fun to use or don't belong in a specific 'Ether' release. Please note that these models are unfinished, may behave strangely and likely exhibit other potential quirks.✨ Please Share Your Cool Creations Below! ✨<h3 id="*-update:-one-wip-v2">* Update: One-WIP-v2</h3>This update looks to further improve the model's aesthetic quality and appeal, particularly within background details, while retaining its focus on flexibility. I pushed plenty of weights within the more aesthetically tuned models as well as adding Coco Style Illustrious, which sadly seems to have been removed. Differences overall will likely be subtle but become more pronounced when upscaling with hires fix.This is probably (hopefully) the last WIP iteration as I plan to go into an even heavier aesthetic focused merge, likely starting with a full (?) release of Ether One Illustrious.Life has picked back up again so apologies in advance if updates are sporadic and far in between. As always thank you so much for your continued love and support.I recommend describing the style (oil painting, messy sketch, anime screenshot etc), adding artist tags and being more descriptive with your prompts. Feel free to mix natural language and booru tags.<hr />Looking forward to your feedback!<h3></h3><h3 id="*-huggingface-archive"><a target="_blank" rel="ugc" href="https://huggingface.co/gamerdan69/EtherMix">* Huggingface Archive</a></h3><h3></h3><h2 id="generation-recommendations">☄️ Generation Recommendations</h2>* All preview images were generated with no LORA's, embeddings, extensions or img to img/inpainting. Just pure text to image with hi-res fix upscaling.Most sample images were generated with:<ul><li>HxW: 832 x 1216</li><li>Sampler: Eular A</li><li>Schedule Type: SGM Uniform</li><li>Steps: 28 - 36</li><li>CFG: 6 - 9</li><li>Clip Skip: 1</li></ul>Quality Tags:<pre><code>masterpiece, best quality, amazing quality, very aesthetic, absurdres, newest</code></pre>Negative Prompt Example:<pre><code>worst quality, low quality, bad quality, bad anatomy, lowres, watermark, signature</code></pre>I recommend this negative prompt if you wish to achieve a similar style to the preview images. You can further alter positive and negative prompts based on the type of style you'd like to achieve.<h3></h3>Sample images were further upscaled using Hi-res fix. Please utilize it if you wish to achieve similar results.<ul><li>Latent (nearest-exact)</li><li>Upscale by: 1.5</li><li>Denoising strength: 0.55</li></ul>Are your results changing too much after Hi-res fix? Please try <a target="_blank" rel="ugc" href="https://openmodeldb.info/models/4x-Remacri">4x-foolhardy-Remarci.</a>(Also recommended for simple style illustrations, anime, cartoon, etc.)<ul><li>4x-foolhardy-Remarci</li><li>Upscale by: 1.5</li><li>Denoising strength: 0.45 - 0.6</li></ul><h3></h3><h3 id="model-merging-info-one-wip-v2">📘 Model Merging Info - One-WIP-v2</h3>I have no training or real knowledge of machine learning. I merged the model using the information provided on <a target="_blank" rel="ugc" href="https://huggingface.co/WarriorMama777/OrangeMixs">WarriorMama777's AOM model page</a> as well as the ones in <a target="_blank" rel="ugc" href="https://rentry.org/BlockMergeExplained">these</a> <a target="_blank" rel="ugc" href="https://rentry.org/Merge_Block_Weight_-china-_v1_Beta">Rentrys.</a> I very arbitrarily mixed the UBM weights of each model, modifying the values with trial and error until I was visually satisfied with it.I utilized a mix of the <a target="_blank" rel="ugc" href="https://github.com/hako-mikan/sd-webui-supermerger">SuperMerger</a> extension for reForge by hako-mikan and silveroxides fork of <a target="_blank" rel="ugc" href="https://github.com/silveroxides/sd-webui-untitledmerger">sd-webui-untitledmerger.</a><h3 id="please-refer-to-the-'about-this-version'-for-more-detailed-information.">Please refer to the 'About This Version' for more detailed information.</h3><h3></h3><h2 id="acknowledgements">💙 Acknowledgements</h2>Thank you to WarriorMama777 for providing <a target="_blank" rel="ugc" href="https://civarchive.com/models/9942/abyssorangemix3-aom3">AOM</a> and other various mixes as well as detailing your workflow which inspired me to try mixing my own models.Thank you to hako-mikan for creating the <a target="_blank" rel="ugc" href="https://github.com/hako-mikan/sd-webui-supermerger">SuperMerger</a> extension allowing a quicker workflow for merging.Thank you to those that have contributed to these <a target="_blank" rel="ugc" href="https://rentry.org/BlockMergeExplained">MBW</a> <a target="_blank" rel="ugc" href="https://rentry.org/Merge_Block_Weight_-china-_v1_Beta">Rentrys</a> and this very detailed <a target="_blank" rel="ugc" href="https://www.figma.com/design/1JYEljsTwm6qRwR665yI7w/Merging-lab%E3%80%8CHosioka%E3%80%8D?node-id=1-69">MBW Figma.</a>Thank you to AngelBottomless and OnomaAI for <a target="_blank" rel="ugc" href="https://civarchive.com/models/1369089/illustrious-xl-20">Illustrious XL 2.0.</a>Thank you to gsdf, rqdwdw for <a target="_blank" rel="ugc" href="https://civarchive.com/models/820208?modelVersionId=1136462">Obsession (Illustrious-XL) v3.1.</a>Thank you to Minthybasis for <a target="_blank" rel="ugc" href="https://civarchive.com/models/950531?modelVersionId=1832460">Rouwei v0.8.0 epsilon.</a>Thank you to asyncforai414 for <a target="_blank" rel="ugc" href="https://civarchive.com/models/18205?modelVersionId=1749165">Async's MIX ILLUSTRIOUS IL V4.0.</a>Thank you to EWIGKEIT0 for <a target="_blank" rel="ugc" href="https://civarchive.com/models/798838?modelVersionId=1711332">DREAMBOX v3.5</a> and <a target="_blank" rel="ugc" href="https://civarchive.com/models/1248959?modelVersionId=1590288">NTDMIX v1.5.</a>Thank you to the creator of Coco Style Illustrious v2.1 (sorry I don't remember your name)Thank you to AUTO1111 for creating the web UI.Thank you to Panchovix for reForge.Thank you to StabilityAI for starting everything with Stable Diffusion.Thank you to CivitAI and Huggingface for providing places where open source AI can flourish.Thank you to the entire Stable Diffusion and generative art community for continuing to openly share and create.

Ether Lab

* Initial Release: One-WIP-v1My first experiment with the Illustrious framework utilizing Illustrious 2.0 epsilon as a base.I consider this an early 'vanilla+' model focused on stabilizing Illustrious 2.0 while maintaining and improving its flexibility and variety as a non aesthetic fine-tuned base model. Outputs will feel a little bland as I have yet to apply a heavier aesthetic focused merge. I recommend describing the style (oil painting, messy sketch, anime screenshot etc), adding artist tags and being more descriptive with your prompts. Feel free to mix natural language and booru tags.In essence, this release is meant to be 'Ether One'-like; flexible and LoRA compatible with a neutral anime aesthetic. Once I've established what I feel is a strong base to work off I'll update the other 'Ether' merges with SDXL+ equivalents (hopefully).Looking forward to your feedback!📘 Model Merging Info - One-WIP-v1I have no training or real knowledge of machine learning. I merged the model using the information provided on <a target="_blank" rel="ugc" href="https://huggingface.co/WarriorMama777/OrangeMixs">WarriorMama777's AOM model page</a> as well as the ones in <a target="_blank" rel="ugc" href="https://rentry.org/BlockMergeExplained">these</a> <a target="_blank" rel="ugc" href="https://rentry.org/Merge_Block_Weight_-china-_v1_Beta">Rentrys.</a> I very arbitrarily mixed the UBM weights of each model, modifying the values with trial and error until I was visually satisfied with it.I utilized a mix of the <a target="_blank" rel="ugc" href="https://github.com/hako-mikan/sd-webui-supermerger">SuperMerger</a> extension for reForge by hako-mikan and silveroxides fork of <a target="_blank" rel="ugc" href="https://github.com/silveroxides/sd-webui-untitledmerger">sd-webui-untitledmerger.</a>Part 1 - Untitled Merger▼ Merging<ul><li>MODEL A: illustriousXLV20_v20Stable.safetensors</li><li>MODEL B: rouwei_v080Epsilon.safetensors</li></ul>Sum merge - Merge CLIP - 0.4<ul><li>Model: EtherLab-OneWIPv1-p1</li></ul>▼Part 2 - SuperMerger<ul><li>MODEL A: EtherLab-OneWIPv1-p1</li><li>MODEL B: obsessionIllustrious_v31.safetensors</li><li>MODEL C: Illustrious-XL-v0.1.safetensors</li></ul>Add Difference merge - Train Difference - ✔️ Use MBW<ul><li>Alpha: 1<pre><code>0,0.05,0.1,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.1,0.05</code></pre><ul><li>Model: EtherLab-OneWIPv1-p2</li></ul></li></ul>▼<ul><li>MODEL A: EtherLab-OneWIPv1-p2</li><li>MODEL B: asyncsMIXILLUSTRIOUS_ilV40.safetensors</li><li>MODEL C: Illustrious-XL-v0.1.safetensors</li></ul>Add Difference merge - Train Difference - ✔️ Use MBW<ul><li>Alpha: 1<pre><code>0,0.15,0.15,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.05,0.05,0.05,0.05,0.05,0.05,0.1,0.15,0.15</code></pre><ul><li>Model: EtherLab-OneWIPv1-p3</li></ul></li></ul>▼Part 3 - Untitled Merger<ul><li>MODEL A: EtherLab-OneWIPv1-p3</li><li>MODEL B: dreambox_v35.safetensors</li></ul>Sum merge - DON'T Merge CLIP - 0.2<ul><li>Model: EtherLab-OneWIPv1-p4</li></ul>▼<ul><li>MODEL A: EtherLab-OneWIPv1-p4</li><li>MODEL B: ntdmix_v15.safetensors</li></ul>Sum merge - DON'T Merge CLIP - 0.1▼<ul><li>Final: EtherLab-One-WIP-v1.safetensors</li></ul>Models Used:<pre><code>* illustriousXLV20_v20Stable.safetensors
2337449913E911CB3130558A9662527393AFB05ACEA76CA6BC701A310605E6F6

* rouwei_v080Epsilon.safetensors
1ABA15DECD15DA1810054ED4C58984610DFAFC728BEF2FB3F3EBE846B2E287A4

* obsessionIllustrious_v31.safetensors
D1D7977219F40EF6B710AEC7B7315E81A5B4F3093181A2E7D45301ED6CC576F6

* asyncsMIXILLUSTRIOUS_ilV40.safetensors
6687536CE0E6B7057E287163B997F11C4DECC3584069DB613E99C961AD80F894

* dreambox_v35.safetensors
A5EBC587B2BCDB5CD7ACF181C436DBE6D2140CBF89EA29732155756AA83DD50B

* ntdmix_v15.safetensors
B1FB19E56AE755DAD518AAAB7F3C921BD9F139ED35558EAB5E4BFC750DBC76A1

* Illustrious-XL-v0.1.safetensors
3E15BA00387DB678AB4A099F75771C4F5AC67FDA9E7100A01D263EAF30145AA9</code></pre>

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