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Explore AI models 22
Bernini-v2-ComfyUI
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View details ↗An 8-step LoRA for the **MiniMax-H3 FL2VS** video model, built on top of the vanilla LightX2V 8-step LoRA.
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View details ↗MXFP8 quantization of the MiniMax H3 `fl2va` (first-last-frame to video+audio) diffusion checkpoint. Based on testing (this model and pruned_fp8), the minimal steps to get results similar to Lightx2v using 4-step LoRAs is 5step & 5steps. The sweet spot for quality and speed is 8step and 8steps. This quantization requires a minimum of 8step. FP8 quantization of the MiniMax H3 `fl2va` (first-last-frame to video+audio) diffusion checkpoint.
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View details ↗An 8-step LoRA for the **MiniMax-H3 ref2va** video model, built on top of the vanilla LightX2V 8-step LoRA.
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View details ↗Quantized versions of the **MiniMax H3 Ref2VA** (reference-to-video-audio) diffusion model. Both keep the text-conditioning path (`token_refiner`, conditioning projections, audio heads) in full precision. _minimal 5 step (talking heads, less motions) | balanced 8-steps (shift 8) | Action-rich scenes above 12 (shift max 12)_
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View details ↗r_drive
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View details ↗LoRA pack for **Bernini-R** and **vanilla Wan 2.2 I2V** tuned for **image-to-video** workflows. Includes **main motion enhancers** (strong focus on motion & rhythm via targeted FFN/attention zeroing) + **appearance-only enhancers** for anatomical accuracy. Respond well to explicit prompts describing different acts. _tuned ONLY for I2V usage based on video outputs from Bernini-R FP8, NVFP4, and Bernini-R N4W merge._
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View details ↗Wan_2_2_I2V_lightx2v_Distill_260412_rank_128_fp16 originally extracted from lightx2v/Wan2.2-Distill-Models wan2.2_i2v_A14b_lightx2v_4step_720p_260412.safetensors The default ComfyUI Wan2.2 I2V workflow ships with LightX2V LoRAs that tend to turn scenes into **slow motion**: These **slow-mo fix** LoRAs target that problem. More **natural motion** without breaking the **4-step LightX2V** usage pattern and quality. In practice they also feel among the **fastest-looking** LightX2V-style pairs released for Wan2.2 I2V (less drag, less “slow-mo” pacing).
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