lightx2v_4step_turbo_v0.1+ rank21 version (300mb) uploaded; works with pruned/non-pruned
Current best settings: 5-8 steps er_sde/res_multistep simple. Strength 0.75 seems to be the best (0.5-0.8)
New larryvrh v4 600_ema uploaded.
This LoRA is an early version of a training run currently underway that larryvrh is doing. Degrades audio quality at 4 steps.
Best used at 6-8 steps res_multistep + simple
Using 850ckpt for anime and 500ckpt for realism works best
Examples are generated with 1.0
I did not train, distill or create the original Turbo LoRA weights. This model page only provides modified compatibility versions intended to allow the remaining compatible LoRA adapters to load with ComfyUI's built-in LoRA loader when using the pruned/curve-form model.
Full credit for the original h3_turbo_4step_pruned belongs to larryvrh. And drbaph for the pruned comfy compatible version
Full credit for the original lightx2v_4step_turbo_v0.1 belongs to lightx2v team and kijai for the comfy compatible version
I'll be uploading different Minimax H3 Turbo LoRAs here and crediting the original creators
Description
FAQ
Comments (10)
The older "h3_turbo_4step" is a copy-paste from drbaph, but what exactly is the new lightx2v_turbo_4step_v0.1 (1.82GB) and where does it come from?
I upload to CivitAI as I would only use CivitAI to get models in the past, and some people might still do. I do train loras here and there and int4mixed quantizations myself for low vram users + resources on posts
@tsolful Thanks! So the Kijai version should be the gold standard. I need to test the best combinations of model+steps+strength+sampler, now I have no idea what would work best. 4 steps worked fine for me yesterday with drbaph's LoRa (plus the custom node to fix the sound), but another day another LoRa, so there is no end to it...
@bnzarev821 Kijai pushed a update to fix audio problems to the latest comfyui, but you would have to update your comfyui with " git pull origin master "as it is still in the nightly version of comfyui. Ive found 8 steps, strength 1, with ckpt500 of larryvrh's version and 6-8 steps, 0.75 with the new lightx2v lora to work well with res_multistep simple (it is best to keep the scheduler at simple in my tests but you can test other samplers)
@tsolful Some recommendations from the Kijai's model card:
4 steps + 0.75 strength + er_sde or sa_solver
Update: just tested with a fixed seed and er_sde looks more natural than res_multistep, at least for 4 steps + 0.75 strength, but it's too early to generalize I guess. Also er_sde seems a little better than sa_solver for this patricular seed, but both are very close. Euler is also good, so there's a lot of choice.
@bnzarev821 Been using er_sde for "realistic" outputs and res_multistep for anime, sa_solver is hit or miss for me
Great and nice examples💕👍🏻
lightx2v_4step_turbo_v0.1+ rank21 and 850ckpt. are good. but if you use them to expand a video, there will be a huge contrast addition between original video and expanded scene. 500ckpt, keep contrast unchanged
Appreciate your results, hopefully with the updates it gets fixed