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easygoing0114/animagine-xl-3.0_clear
animagine-xl-3.0_clear is a text-to-image model from easygoing0114. Use it when you need an image from a text prompt. The card lists the license as other.
- Guide (External site): English | Japanese - Ciivitai - Animagine-XL4.0Optclear
Downloads · 30 days
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Updated Nov 1, 2026
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.safetensors12 GB · 100%
From the Hugging Face model README
Animagine-XL_3.0_clear | Animagine-XL_3.0 (Original)
<div style="display: flex; justify-content: center; align-items: center; gap: 2em;"> <div> <img src="./images/Animagine-XL_3.0_clear_compare_2.png" alt="Animagine-XL_3.0_clear_compare_2" width="400" height="400"> </div> <div> <img src="./images/Animagine-XL_3.0_original_compare_2.png" alt="Animagine-XL_3.0_original_compare_2" width="400" height="400"> </div> </div> <div style="display: flex; justify-content: center; align-items: center; gap: 2em;"> <div> <img src="./images/Animagine-XL_3.0_clear_compare_3.png" alt="Animagine-XL_3.0_clear_compare_3" width="400" height="400"> </div> <div> <img src="./images/Animagine-XL_3.0_original_compare_3.png" alt="Animagine-XL_3.0_original_compare_3" 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_3.0_clear_compare3_close_up.png" alt="Animagine-XL_3.0_clear_compare3_close_up" width="800" height="400"> </div>A fine-tuned version of Animagine-XL_3.0 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.
your choice, examples:
works well.