<h2 id="heading-5">Serenity: a photorealistic base model</h2><hr />Welcome to my corner!I'm creating Dreambooths, LyCORIS, and LORAs. If you want to know how I do those, here is the guide: <a target="_blank" rel="ugc" href="https://civarchive.com/articles/7/dreambooth-lycoris-lora-guide">https://civarchive.com/articles/7/dreambooth-lycoris-lora-guide</a><hr />I have a Buy Me A Coffee page if you want to support me ( <a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/malcolmrey">https://www.buymeacoffee.com/malcolmrey</a> ). You can also leave a request there if you want me to do something specific.<hr />HuggingFace model card: <a target="_blank" rel="ugc" href="https://huggingface.co/malcolmrey/serenity">https://huggingface.co/malcolmrey/serenity</a><hr />Here is the process of how I did it:I was using a script from this repository: https://github.com/Faildes/Chattiori-Model-Mergerand those were the commands:<pre><code>python merge.py "WS" "C:/Development/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion" "photon_v1.safetensors" "realisticVisionV30_v30VAE.ckpt" --alpha 0.45 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-model-v0"</code></pre><pre><code>python merge.py "WS" "C:/Development/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion" "juggernaut_final.safetensors" "wyvernmix_v9.safetensors" --alpha 0.45 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-model-v1"</code></pre><pre><code>python merge.py "WS" "C:/Development/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion" "epicrealism_pureEvolutionV3.safetensors" "cyberrealistic_v31.safetensors" --alpha 0.45 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-model-v2"</code></pre><pre><code>python merge.py "WS" "C:/Development/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion" "analogMadness_v50.safetensors" "absolutereality_v10.safetensors" --alpha 0.45 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-model-v3"</code></pre><pre><code>python merge.py "WS" "C:/Development/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion" "icbinpICantBelieveIts_final.safetensors" "madvision_v40.safetensors" --alpha 0.45 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-model-v4"</code></pre><pre><code>python merge.py "WS" "C:/Development/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion" "perfection_v30Pruned.safetensors" "DriveE/civitai3/huns_v10.safetensors" --alpha 0.45 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-model-v5"</code></pre><pre><code>python merge.py "WS" "C:/Development/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion" "DriveE/civitai3/metagodRealRealism_v10.safetensors" "DriveE/civitai3/unrealityV20_v20.safetensors" --alpha 0.45 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-model-v6"</code></pre><pre><code>python merge.py "WS" "C:/Development/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion" "DriveE/civitai3/succubusmix_v21.safetensors" "reliberate_v10.safetensors" --alpha 0.45 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-model-v7"</code></pre><pre><code>python merge.py "WS" "C:/Development/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion" "DriveE/civitai/pornvision_final.safetensors" "DriveE/civitai/edgeOfRealism_eorV20Fp16BakedVAE.safetensors" --alpha 0.45 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-model-v8"</code></pre><pre><code>python merge.py "ST" "D:/Development/StableDiffusion/SDModels/Models/merging" "merged-model-v0.safetensors" "merged-model-v1.safetensors" --model_2 "merged-model-v2.safetensors" --alpha 0.33 --beta 0.33 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-st-model-v0"</code></pre><pre><code>python merge.py "ST" "D:/Development/StableDiffusion/SDModels/Models/merging" "merged-model-v3.safetensors" "merged-model-v4.safetensors" --model_2 "merged-model-v5.safetensors" --alpha 0.33 --beta 0.33 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-st-model-v1"</code></pre><pre><code>python merge.py "ST" "D:/Development/StableDiffusion/SDModels/Models/merging" "merged-model-v0.safetensors" "merged-model-v1.safetensors" --model_2 "merged-model-v2.safetensors" --alpha 0.33 --beta 0.33 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-st-model-v0"</code></pre><pre><code>python merge.py "ST" "D:/Development/StableDiffusion/SDModels/Models/merging" "merged-st-model-v0.safetensors" "merged-st-model-v1.safetensors" --model_2 "merged-st-model-v2.safetensors" --alpha 0.33 --beta 0.33 --save_safetensor --save_half --output "D:/Development/StableDiffusion/SDModels/Models/merging/merged-st-model-final"</code></pre>As you can see, first I merged 18 models using Weighted Sum, so there were 9 pairs.Afterwards, I merged triples using Sum Twice which in turn produced 3 models that were again merged using Sum Twice to get the final product.I've selected 18 models that are proven to work well with my LyCORIS and LoRA models. I've applied the same testing that I do to other models and I was happy with the results (not going to rank my model since I'm biased, but I was happy with the good-to-bad ratio).Where this model shines IMHO are the eyes and mouth.<hr />My long-term goals were (are?) to make a decent base model and then further fine-tune it on high-quality photographs of people. But with the SDXL on the horizon, I'm not sure when/if I will have time to do it (fingers crossed?) so at least I'm doing the first part - the base model as a checkpoint merge.

Serenity

Updated version of Serenity V2.Pretty much it works the same as before for inference but there are two crucial differences between this and 2.0:1) The structural issue is gone, it can now be used as a base for training (kohya_ss and others).2) Some additional pruning was done, not it has the standard size of 2 GBs.

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