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+ ---
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+ language:
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+ - en
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+ tags:
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+ - art
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+ ---
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+
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+ # Aesthetic Quality Modifiers - Masterpiece
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+
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+ **Creator**: [motimalu](https://civitai.com/user/motimalu)
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+ **Type**: LORA
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+ **Base Model**: Wan Video 14B t2v
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+ **Version**: v2.0-alpha [wan-t2v-14b]
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+ **Trigger Words**: `masterpiece, very aesthetic`
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+
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+ **Civitai Model ID**: 929497
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+ **Civitai Version ID**: 1498121
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+
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+ **Stats (at time of fetch for this version)**:
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+ * Downloads: 4774
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+ * Rating: 0 (0 ratings)
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+ * Favorites: N/A
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+
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+ ---
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+
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+ ## 📄 Description (Parent Model)
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+
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+ Aesthetic Quality Modifiers - Masterpiece
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+ Training data is a subset of all my manually rated datasets with the quality/aesthetic modifiers, including only the
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+ masterpiece
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+ tagged images.
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+ Subset in the
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+ Aesthetic Quality Modifiers Collection
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+ .
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+ ℹ️ LoRA work best when applied to the base models on which they are trained. Please read the
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+ About This Version
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+ on the appropriate base models and workflow/training information.
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+ Recommended prompt structure:
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+ Positive prompt (quality tags at the end of prompt):
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+ {{tags}}
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+ masterpiece, best quality, very aesthetic
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+ Generation Settings:
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+ Previews are generated in Forge with upscaling and adetailer.
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+ For Noobai V-Pred, a ComfyUI workflow reference with DynamicThresholding, Upscaling, and FaceDetailer can be found here:
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+ https://civitai.com/posts/11457095
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+
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+ ## Version Notes (v2.0-alpha [wan-t2v-14b])
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+
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+ [WAN 14B] LoRA (experimental)
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+ Trained with
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+ diffusion-pipe
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+ on
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+ Wan2.1-T2V-14B
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+ with the same (image-only) dataset as v2.3 [noobai v-pred]
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+ Currently curating a video dataset
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+ Video previews generated with
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+ ComfyUI_examples/wan/#text-to-video
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+ Loading the LoRA with LoraLoaderModelOnly node and using the fp8 14B:
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+ wan2.1_t2v_14B_fp8_e4m3fn.safetensors
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+ Higher quality previews use the full fp16 14b:
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+ wan2.1_t2v_14B_fp16.safetensors
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+ Recommend following prompting guide for movement to avoid still images/jitter:
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+ https://www.comfyonline.app/blog/wan2-1-prompt-guide
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+ Image previews generated with modified
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+ ComfyUI_examples/wan/#text-to-video
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+ Setting the frame length to 1
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+ Adding Upscaling
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+ Better results with text-to-image than text-to-video for this version (due to training on images only)
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+
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+ ---
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+
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+ ## Civitai Links
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+
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+ * **[🔗 View This Version on Civitai →](https://civitai.com/models/929497?modelVersionId=1498121)**
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+ * [View Full Model Page →](https://civitai.com/models/929497)
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+ * [View Creator Profile →](https://civitai.com/user/motimalu)
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+
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+ ---
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+
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+ ## File Information
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+
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+ * **Filename**: `wan_masterpieces_v2.safetensors`
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+ * **Size**: 292.59 MB
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+ * **Hash (AutoV2)**: `3D4415802A`
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+ * **Hash (SHA256)**: `3D4415802AF64FF81463C7A8C0B991CC50E1965B2D358D7E80BB438F051E572E`