Name: Aesthetic Quality Modifiers - Masterpiece
Rating: 0 (0 reviews)
Author: motimalu

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female swimwear or underwear

male swimwear or underwear

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<h1 id="aesthetic-quality-modifiers-masterpiece-zhdayuflo">Aesthetic Quality Modifiers - Masterpiece</h1>Training data is a subset of all my manually rated datasets with the quality/aesthetic modifiers, including only the <code>masterpiece</code> tagged images.Subset in the <a target="_blank" rel="ugc" href="https://civitai.com/collections/6456031">Aesthetic Quality Modifiers Collection</a>.ℹ️ LoRA work best when applied to the base models on which they are trained. Please read the About This Version on the appropriate base models and workflow/training information.Recommended prompt structure:Positive prompt (quality tags at the end of prompt):<pre><code>{{tags}}
masterpiece, best quality, very aesthetic</code></pre>Generation Settings:Previews are generated in Forge with upscaling and adetailer.For Noobai V-Pred, a ComfyUI workflow reference with DynamicThresholding, Upscaling, and FaceDetailer can be found here: <a target="_blank" rel="ugc" href="https://civitai.com/posts/11457095">https://civitai.com/posts/11457095</a>

Trained on <a target="_blank" rel="ugc" href="https://civitai.com/models/833294/noobai-xl-nai-xl?modelVersionId=1190596">NoobAI-XL (NAI-XL) V-Pred 1.0-Version</a>Included many newly rated images and small training/tagging updates:<ul><li>change<code>min_snr_gamma</code> from 5 to 0<ul><li>should produce closer lighting/blacks to base model</li></ul></li><li>change <code>very awa</code> tag back to <code>very aesthetic</code><ul><li>reverted this change from previous version v1.0</li></ul></li><li>tag <code>nsfw</code> <code>explicit</code> with imgutils anime_rating</li></ul>Previews are generated in Forge with DynamicThresholding (CFG-Fix) Integrated enabled, settings:<pre><code>dynthres_enabled: True, dynthres_mimic_scale: 7, dynthres_threshold_percentile: 1, dynthres_mimic_mode: Half Cosine Down, dynthres_mimic_scale_min: 1, dynthres_cfg_mode: Half Cosine Down, dynthres_cfg_scale_min: 3, dynthres_sched_val: 1, dynthres_separate_feature_channels: enable, dynthres_scaling_startpoint: ZERO, dynthres_variability_measure: STD, dynthres_interpolate_phi: 1</code></pre>A ComfyUI workflow reference with DynamicThresholding, Upscaling, and FaceDetailer can be found here: <a target="_blank" rel="ugc" href="https://civitai.com/posts/11457095">https://civitai.com/posts/11457095</a>

v2.3 [noobai-v-pred-1]

[WAN 14B] LoRA (experimental)<ul><li>Trained with <a target="_blank" rel="ugc" href="https://github.com/tdrussell/diffusion-pipe">diffusion-pipe</a> on <a target="_blank" rel="ugc" href="https://huggingface.co/Wan-AI/Wan2.1-T2V-14B">Wan2.1-T2V-14B</a> with the same (image-only) dataset as v2.3 [noobai v-pred]<ul><li>Currently curating a video dataset</li></ul></li><li>Video previews generated with <a target="_blank" rel="ugc" href="https://comfyanonymous.github.io/ComfyUI_examples/wan/#text-to-video">ComfyUI_examples/wan/#text-to-video</a><ul><li>Loading the LoRA with LoraLoaderModelOnly node and using the fp8 14B: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/diffusion_models/wan2.1_t2v_14B_fp8_e4m3fn.safetensors">wan2.1_t2v_14B_fp8_e4m3fn.safetensors</a></li><li>Higher quality previews use the full fp16 14b: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/diffusion_models/wan2.1_t2v_14B_fp16.safetensors">wan2.1_t2v_14B_fp16.safetensors</a></li><li>Recommend following prompting guide for movement to avoid still images/jitter: <a target="_blank" rel="ugc" href="https://www.comfyonline.app/blog/wan2-1-prompt-guide">https://www.comfyonline.app/blog/wan2-1-prompt-guide</a></li></ul></li><li>Image previews generated with modified <a target="_blank" rel="ugc" href="https://comfyanonymous.github.io/ComfyUI_examples/wan/#text-to-video">ComfyUI_examples/wan/#text-to-video</a><ul><li>Setting the frame length to 1</li><li>Adding Upscaling</li></ul></li><li>Better results with text-to-image than text-to-video for this version (due to training on images only)</li></ul>

v2.0-alpha [wan-t2v-14b]

[WAN 1.3B] LoRA (experimental)<ul><li>Trained with <a target="_blank" rel="ugc" href="https://github.com/tdrussell/diffusion-pipe">diffusion-pipe</a> on <a target="_blank" rel="ugc" href="https://huggingface.co/Wan-AI/Wan2.1-T2V-14B">Wan2.1-T2V-14B</a> with the same (image-only) dataset as v2.0-alpha [WAN 14b]<ul><li>Currently curating a video dataset</li></ul></li><li>Video previews generated with <a target="_blank" rel="ugc" href="https://comfyanonymous.github.io/ComfyUI_examples/wan/#text-to-video">ComfyUI_examples/wan/#text-to-video</a><ul><li>Loading the LoRA with LoraLoaderModelOnly node</li><li>Recommend following prompting guide for movement to avoid still images/jitter: <a target="_blank" rel="ugc" href="https://www.comfyonline.app/blog/wan2-1-prompt-guide">https://www.comfyonline.app/blog/wan2-1-prompt-guide</a></li></ul></li></ul>

v2.0-alpha [wan-t2v-1.3b]

Trained on <a target="_blank" rel="ugc" href="https://civitai.com/models/833294/noobai-xl-nai-xl?modelVersionId=1190596">NoobAI-XL (NAI-XL) V-Pred 1.0-Version</a>With the kohya_ss dev branch, <code>v_paratemization</code> ,<code>zero_terminal_ssr</code> enabled, and noise offet set to 0.Included some newly rated images and small updates to match the noobai tagging:<ul><li><code>by {artist}</code> -&gt; <code>artist:{artist}</code></li><li><code>very aesthetic</code> -&gt; <code>very awa</code></li></ul>Previews are generated in Forge with DynamicThresholding (CFG-Fix) Integrated enabled, settings:<pre><code>dynthres_enabled: True, dynthres_mimic_scale: 7, dynthres_threshold_percentile: 1, dynthres_mimic_mode: Half Cosine Down, dynthres_mimic_scale_min: 1, dynthres_cfg_mode: Half Cosine Down, dynthres_cfg_scale_min: 3, dynthres_sched_val: 1, dynthres_separate_feature_channels: enable, dynthres_scaling_startpoint: ZERO, dynthres_variability_measure: STD, dynthres_interpolate_phi: 1</code></pre>

v1.0 [noobai-v-pred-1]

Trained on NoobAI-XL (NAI-XL) <a target="_blank" rel="ugc" href="https://civitai.com/models/833294?modelVersionId=1022833">Epsilon-pred 1.0-Version</a>

Type	LoRA
Stats	10,043 404,566 111.9k
Reviews	Overwhelmingly Positive (1,507)
Published	Feb 11, 2025
Base Model	NoobAI
Training	Steps: 1,500 Epochs: 30
Usage Tips	Strength: 1
Trigger Words	masterpiece, best quality, very aesthetic
Hash	AutoV2 D7B5C187BD