<h2 id="naughtytimes-mm-h3-lora-v3.0">NaughtyTimes MM H3 Lora v3.0</h2>Join our discord: <a target="_blank" rel="ugc" href="https://discord.gg/KjWkmcdeE">https://discord.gg/KjWkmcdeE</a>NaughtyTimes v3.0 (fp32) is the same trained model as PinkCherry H3 v1 final. One is a lora, one is a full checkpoint (fp16/bf16), you decide. There will be no PinkCherry v1 int8 because the lora has higher precision and 98% weight retention.There are unpruned and pruned versions of this lora, see below for reasoning and which one you should use. If you can run unpruned, you should. There are 13 billion params in the unpruned model that I removed in the pruned lora so they would load in ComfyUI on the pruned base.Scheduler/Sampler: Euler/simple (not beta, not res_multistep etc)Workflow: Standard comfyUI i2v or t2v workflow is fine, with euler/simple (not beta, res_multistep etc as it was trained with simple sigma schedule)Steps: I normally run 30-40 stepsStrength: 1.0Resolution: I use 0.7MP or higher, as this was trained at high resTurbo: have not tested it, may work may notModel Modes: Both I2V and T2V were trained<h3 id="pruned-vs-unpruned">Pruned vs Unpruned</h3>Most other loras dont train the unpruned modules that I do, which is why I have unpruned and pruned versions of this lora. There is a good reason I train the unpruned modules, because they are very important in Minimax H3. Long story short, run the unpruned lora.Pruned vs Unpruned: The unpruned lora version contains significant alterations to the unpruned model, if you can run the unpruned base model you should. The pruned lora model has all these wonderful changes stripped out completely and is not ideal (it will not act the same way as the unpruned model). But I will leave that choice up to you, I only run the unpruned base model. The unpruned model has all the Adaln projections intact and are important for this lora since I trained those

SexGod's  NaughtyTimes MM H3 Lora

v3.0 unpruned (required unpruned bf16/int8) to function

SexGod_NaughtyTimes_v3_rank64_unpruned.safetensors

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