Downloads · 30 days
0
easygoing0114/animagine-xl-4.0-opt_clear
animagine-xl-4.0-opt_clear is a machine learning model from easygoing0114. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as openrail++.
- Guide (External site): English | Japanese - Ciivitai - Animagine-XL3.0clear
Downloads · 30 days
0
Access
Public
Updated Nov 1, 2026
Repo size
11.7 GB
Likes
3
Public
Click a slice to open those files.
.safetensors11.7 GB · 100%
From the Hugging Face model README
Animagine-XL_4.0_Opt_clear | Animagine-XL_4.0_Opt (Original)
<div style="display: flex; justify-content: center; align-items: center; gap: 2em;"> <div> <img src="./images/Animagine-XL_4.0_Opt_clear_1.png" alt="Animagine-XL_4.0_Opt_clear_1" width="400" height="400"> </div> <div> <img src="./images/Animagine-XL_4.0_Opt_original_1.png" alt="Animagine-XL_4.0_Opt_original_1" width="400" height="400"> </div> </div> <div style="display: flex; justify-content: center; align-items: center; gap: 2em;"> <div> <img src="./images/Animagine-XL_4.0_Opt_clear_2.png" alt="Animagine-XL_4.0_Opt_clear_2" width="400" height="400"> </div> <div> <img src="./images/Animagine-XL_4.0_Opt_original_2.png" alt="Animagine-XL_4.0_Opt_original_2" width="400" height="400"> </div> </div> <div style="text-align: center; margin-left: auto; margin-right: auto; width: 800px; max-width: 90%;"> <img src="./images/Animagine-XL_4.0_Opt_clear_2_compare_close_up.png" alt="Close-up comparison showing finer details and sharper edges in Animagine-XL_4.0_Opt_clear anime outputs." width="800" height="400"> </div>A fine-tuned version of Animagine-XL 4.0 Opt model, designed to produce clearer and more vibrant outputs.
Compared to the original, this model generates illustrations with higher contrast, richer colors, and more refined details.
INT8_ConvRot_HQ is a lightweight version. The CLIP and VAE remain unchanged, while only the intermediate layers of the UNet have been converted to INT8_ConvRot format.
Image quality is slightly lower than the original v2, but it is particularly well-suited for fast generation in low-VRAM environments (4-6 GB).
INT8_ConvRot is currently supported in ComfyUI and Stable Diffusion webUI Forge NEO.
masterpiece, high score, great score, absurdres
lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurry
your choice, examples:
works well.