Many people reported that the lora training sucks for z-image base. Less than 12 hours ago, someone on Bilibili claimed that he/she found the cause – unit 8 used by AdamW8bit optimizer. According to the author, you have to use FP8 optimizer for z-image base. The author pasted some comparisons in his/her post. One can …
submitted by /u/ShadowBoxingBabies [link] [comments]
ComfyUI-CacheDiT brings 1.4-1.6x speedup to DiT (Diffusion Transformer) models through intelligent residual caching, with zero configuration required. https://github.com/Jasonzzt/ComfyUI-CacheDiT https://github.com/vipshop/cache-dit https://cache-dit.readthedocs.io/en/latest/ “Properly configured (default settings), quality impact is minimal: Cache is only used when residuals are similar between steps Warmup phase (3 steps) establishes stable baseline Conservative skip intervals prevent artifacts” submitted by /u/Scriabinical [link] [comments]
I always see posts arguing wether ZIT or Klein have best realism, but I am always surprised when I don’t see mention Qwen-Image2512 or Wan2.2, which are still to this day my two favorite models for T2I and general refining. I always found QwenImage to respond insanely well to LoRAs, its a very underrated model …
Read more “Qwen-Image2512 is a severely underrated model (realism examples)”
submitted by /u/ZootAllures9111 [link] [comments]
We just shipped a new LTX-2 drop focused on one thing: making video generation easier to iterate on without killing VRAM, consistency, or sync. If you’ve been frustrated by LTX because prompt iteration was slow or outputs felt brittle, this update is aimed directly at that. Here’s the highlights, the full details are here. What’s …
Read more “End-of-January LTX-2 Drop: More Control, Faster Iteration”
submitted by /u/LucidFir [link] [comments]
Link: https://huggingface.co/Tongyi-MAI/Z-Image Comfy https://huggingface.co/Comfy-Org/z_image/tree/main/split_files/diffusion_models submitted by /u/Altruistic_Heat_9531 [link] [comments]
https://huggingface.co/MachineDelusions/LTX-2_Image2Video_Adapter_LoRa A high-rank LoRA adapter for LTX-Video 2 that substantially improves image-to-video generation quality. No complex workflows, no image preprocessing, no compression tricks — just a direct image embedding pipeline that works. What This Is Out of the box, getting LTX-2 to reliably infer motion from a single image requires heavy workflow engineering — ControlNet …
I put the official klein prompting guide into my llm, and told him to recommend me a set of varied prompts that are absolute best to benchmark its capabilities for lighting. Official prompting guide https://docs.bfl.ai/guides/prompting_guide_flux2_klein Lighting: The Most Important Element Lighting has the single greatest impact on [klein] output quality. Describe it like a photographer …