Two accepted weight-only releases are available for the H3 Beta7 transformer from TenStrip/10Eros-Max. Both retain the source's embedded eight-step Turbo. **HQ (18.69 GB) remains the recommended choice for quality**, using learned W6 g16 and INT8 ConvRot weights. **Compact (14.65 GB)** adds W4 g16 to reduce the weight footprint for setups with less available memory. Both passed mechanical validation and operator ComfyUI acceptance on **2026-10-28**. For compact, the operator reports slightly lower quality than HQ while holding up well, with lower observed memory use. These are qualitative observations without measured VRAM savings or a controlled quality score. The older Beta6 compact remains a separate source release. Beta7 has the standard H3 tensor layout without compression-gate tensors. The upstream author describes its merge as MLP-focused, preserving base attention/reference behavior, and recommends Euler/simple or ER-SDE/SGM_uniform for its Turbo sampling. See the upstream source notes for its recipe, workflow settings and known limitations.
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View details ↗The goal of this project is to improve generation of moe characters since most of other models are not good at it. \ \ __Some of the models can be used online on these plarforms:__ \ __Aipictors (Japanese) - https://www.aipictors.com__ It is recommende to use standard resolution such as 832x1144 \ Positive prompt example: masterpiece, best quality, 1girl, solo, full body, night, purple kimono, japanese clothes, barefoot, obi, bare legs, braided ponytail, feet, mole, toes, collarbone, toenails, electricity, looking at viewer, night sky, holding weapon, holding, holding polearm, floating, sakura, petals \ Negative prompt example: lowres, worst quality, low quality, old, early, bad anatomy, bad hands, 4koma, comic, greyscale, censored, jpeg artifacts, monochrome, simple background, \ All examples were generated using custom workflow in ComfyUI and weren't edited using inpainting. You can load the workflow by either importing the example images or importing the workflow directly v3.0 \ Anima v1 based \ Better anatomy, smaller model, better prompt adherance \ Use @artist for artists, case sensitive \ You can use both tags and natural language prompts and you will likely achieve better results combining both \ It's better to use longer prompts for better results, shorter (sub 10 tags) may result in lower quality \ Use er_sde sampler and simple or maybe beta scheduler, cfg around 4 maybe even closer to 3 v0.4.3 \ Fixed color issue \ General improvements \ \ v0.5.3 \ Integrated VAE\ File size reduced \ CLIP force reset fix \ \ v0.6.3 \ Style improvements \ Added PastelMix and Counterfeit style \ \ v0.7.x \ Style impovements \ Composition improvements \ \ v0.8.x \ Major improvement on higher resolutions \ Style improvements \ Flexibility and responsivity \ Added support for Night Sky YOZORA model \ \ v0.9.x \ Different approach at merging, you might find v0.8.x versions better \ Changes at supported models \ \ v2.1.X EXPERIMENTAL RELEASE \ Stable Diffusion 2.1-768 based \ Default negative prompt: (low quality, worst quality:1.4), (bad anatomy), extra finger, fewer digits, jpeg artifacts \ For positive prompt it's good to include tags: anime, (masterpiece, best quality) alternatively you may achieve positive response with: (exceptional, best aesthetic, new, newest, best quality, masterpiece, extremely detailed, anime, waifu:1.2) \ Though it's Loli Diffusion model it's
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