<h1 id="aesthetic-quality-modifiers-masterpiece">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.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, trigger usage, and workflow/training information.Recommended prompt structure:Positive prompt (quality tags at the start of prompt):<pre><code>masterpiece, best quality, very aesthetic, {{tags}}, {{natural language}}</code></pre>

Aesthetic Quality Modifiers - Masterpiece

Trained on Krea 2 Raw base with diffusion-pipe. Strength of 1.5 is recommended when applied to the Turbo model.Previews generated with a slightly adjusted int8 quant workflow by Winnougan: <a target="_blank" rel="ugc" href="https://huggingface.co/Winnougan/Krea-2-Base-Turbo-NVFP4-FP8-INT8">https://huggingface.co/Winnougan/Krea-2-Base-Turbo-NVFP4-FP8-INT8</a>Workflow is in included in the preview images, you can drag and drop into ComfyUI.Same dataset as v5.1, adjusted captions to simply use "masterpiece, very aesthetic" trigger tags + NL captions for Krea 2 - which is assumed to have no booru tags knowledgeCan benefit from being used together with the krea2filterbypass LoRA: <a target="_blank" rel="ugc" href="https://civitai.red/models/2728234/krea2filterbypass?modelVersionId=3067151">https://civitai.red/models/2728234/krea2filterbypass?modelVersionId=3067151</a> See: <a target="_blank" rel="ugc" href="https://civitai.red/images/135097274">https://civitai.red/images/135097274</a>Training configs: <a target="_blank" rel="ugc" href="https://github.com/motimalu/diffusion-training-configs/tree/main/diffusion-pipe/krea/configs">https://github.com/motimalu/diffusion-training-configs/tree/main/diffusion-pipe/krea/configs</a>

krea2-masterpieces-v51.safetensors

Aesthetic Quality Modifiers [KREA2]

v5.1 [krea2]

v5.1 [anima-base-1]

v5.0 [anima-preview-3]

v4.1 [anima-preview-2]

v4.0 [anima-preview]

v3.2 [z-image-turbo]

v3.1 [klein-4b]

v3.0 [illustrious]

v3.0 [qwen]

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

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

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

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

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

v1.0 [Illustrious]

v1.0 [Pony]

Aesthetic Quality Modifiers - MasterpieceTraining data is a subset of all my manually rated datasets with the quality/aesthetic modifiers, including only the masterpiece tagged images.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, trigger usage, and workflow/training information.Recommended prompt structure:Positive prompt (quality tags at the start of prompt):masterpiece, best quality, very aesthetic, {{tags}}, {{natural language}}

Trained on Krea 2 Raw base with diffusion-pipe.
Strength of 1.5 is recommended when applied to the Turbo model.

Previews generated with a slightly adjusted int8 quant workflow by Winnougan: https://huggingface.co/Winnougan/Krea-2-Base-Turbo-NVFP4-FP8-INT8

Workflow is in included in the preview images, you can drag and drop into ComfyUI.

Same dataset as v5.1, adjusted captions to simply use "masterpiece, very aesthetic" trigger tags + NL captions for Krea 2 - which is assumed to have no booru tags knowledge

Can benefit from being used together with the krea2filterbypass LoRA:
https://civitai.red/models/2728234/krea2filterbypass?modelVersionId=3067151

See: https://civitai.red/images/135097274

Training configs:
https://github.com/motimalu/diffusion-training-configs/tree/main/diffusion-pipe/krea/configs

Files with SHA256: 43c97c9ebfd6f7bbd78d93e15f9b70a7b03667698fb2a9cdeef83fa84fa7d767