Aesthetic Quality Modifiers - Masterpiece
Training data is a subset of all my manally rated datasets with the quality/aesthetic modifiers, including only the masterpiece tagged images.
Subset in the Aesthetic Quality Modifiers Collection.
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):
{{tags}}
masterpiece, best quality, very aestheticGeneration 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: https://civitai.com/posts/11457095
Description
[WAN 14B] LoRA (experimental)
- Trained with diffusion-pipe on Wan2.1-T2V-14B with the same (image-only) dataset as v2.3 [noobai v-pred]Currently curating a video dataset
- Video previews generated with ComfyUI_examples/wan/#text-to-videoLoading the LoRA with LoraLoaderModelOnly node and using the fp8 14B: wan2.1_t2v_14B_fp8_e4m3fn.safetensorsHigher quality previews use the full fp16 14b: wan2.1_t2v_14B_fp16.safetensorsRecommend following prompting guide for movement to avoid still images/jitter: https://www.comfyonline.app/blog/wan2-1-prompt-guide
- Image previews generated with modified ComfyUI_examples/wan/#text-to-videoSetting the frame length to 1Adding Upscaling
- Better results with text-to-image than text-to-video for this version (due to training on images only)
FAQ
Details
Downloads
71,438
Platform
SeaArt
Platform Status
Available
Created
11/8/2024
Updated
6/1/2025
Deleted
-
Trigger Words:
masterpiece, best quality, very aesthetic