wanx-troopers

LoRa-s, Part I

LoRa-s Table Of Contents

2025.12.17

Purely experimental: add fastwan at 0.7 strength?…

2025.12.11

It is a common question which speed LoRA-s to use with Wan 2.2. For I2V models the advice is:

1030 is generally good at prompt following but the human motion can be more basic and boring; 480p on high is more active but it has the tendency to activate the background as well and output can be erratic and inconsistent - but it can also be unexpectedly interesting as wel

Links to download both of the LoRA-s mentioned above are bellow on this page - in most of the cases to bf16 versions.

for 4 steps the scheduler matters a lot; lcm-beta? in the wrapper there’s the flowmatch_distill

at least one step with cfg makes such a difference

“with cfg” means with cfg greater than 1, cfg of 1 disables it; generation step with cfg greater than 1 takes 2x time compared to a step with 1 (“without cfg”), therefore often just the very 1st step is done with cfg > 1

2025.11.23

FL13 three sampler setup for Wan 2.2 I2V

FL13-wan22-i2v-loras1 FL13-wan22-i2v-loras2

…or lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16 on low

2025.11.13

Q: Best Wan 2.2 I2V LoRa-s? Artist: 2.1 LightX2V for 2.2 low noise, new 2.2 LightX2V 4-step distill (1030?) for high noise? M: 1030 feels like the only alternative so far for the old 2.1 at higher strength (and it is high-noise only)

2025.10.14

There’s

2025.10.14 (this refers to high noise wan 2.2 too):

well the thing is that nothing beats the old 2.1 lightx2v still
6 steps, split in middle and first step with cfg 2.0
strength 3.0 for high and 1.0 for low

Old is possibly “the rank 64 one”

2025.10.18

There are only 3 options for the low noise:

If we don’t count accvid/fast wan etc. That, in my opinion, changes the output too much from original. Though with that criteria I’d forget the 2.2 Lightning as well pretty much

2025.10.19

Q: which one are you using still the i2v 480 or t2v rank 64 and 3.0 with high and 1 with low?..
A: Something like that
Q: and a pinch of cfg on high, right?
A: First step at least

2025-?-?

Users chatting:

Q: what the best lora for t2v ? lightx?
A: lightx quantile 0.15 Lora from Kijai, its very good; for high 3.0 low 1.0 Strength

2.2 T2V

Repo Lora Generation Approx. Released Comment  
HF:lightx2v/Wan2.2-Distill-Loras wan2.2_t2v_A14b_high_noise_lora_rank64_lightx2v_4step_1217
wan2.2_t2v_A14b_low_noise_lora_rank64_lightx2v_4step_1217
2.2 T2V High/Low 2025.12.17 recommended?  
HF:Kijai/WanVideo_comfy_fp8_scaled/T2V
lightxv2/Wan2.2-Lightning/dyno
Wan2.2-T2V-A14B-4steps-250928-dyno-high-lightx2v model not LoRA 2.2 T2V High
model
2025.09 good motion  
HF:lightx2v/Wan2.2-Distill-Loras wan2.2_t2v_A14b_high_noise_lora_rank64_lightx2v_4step_1217
wan2.2_t2v_A14b_low_noise_lora_rank64_lightx2v_4step_1217
2.2 T2V High/Low 2025.12.17 bf16
“not much better”
 
HF:lightx2v/Wan2.2-Lightning:Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V2.0 Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V2.0 2.2 T2V High/Low 2025.11.07 No Kijai conversion available
Reprotedly can make things too bright
 
HF:lightx2v/Wan2.2-Lightning:Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1 Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1 2.2 T2V High/Low 2025.08 ? No Kijai conversion available  
HF:lightx2v/Wan2.2-Lightning:Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1 Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1 2.2 T2V High/Low 2025.08 ? No Kijai conversion available  
HF:Kijai/WanVideo_comfy:LoRAs/Wan22-Lightning Wan22_A14B_T2V_HIGH_Lightning_4steps_lora_250928_rank128_fp16 2.2 T2V High - -  
HF:Kijai/WanVideo_comfy:LoRAs/Wan22-Lightning Wan22_A14B_T2V_LOW_Lightning_4steps_lora_250928_rank64_fp16 2.2 T2V Low - -  
HF:Kijai/WanVideo_comfy:LoRAs/rCM Wan_2_1_T2V_14B_rCM_lora_average_rank_148_bf16 2.1 T2V - by Nvidia, ppl stopped talking about it seemingly  
HF:Kijai/WanVideo_comfy:Lightx2v lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank64_bf16
lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16
2.1 T2V - Could be good on 2.2 T2V Low?  
HF:Kijai/WanVideo_comfy:Lightx2v lightx2v_14B_T2V_cfg_step_distill_lora_adaptive_rank_quantile_0.15_bf16 2.1 T2V - Some artists find this good on 2.2 T2V Low,
FL13 also recommends on 2.2 I2V Low
 

2.2 I2V

Repo Lora Generation Approx. Released Comment
HF:Kijai/WanVideo_comfy:LoRAs/Wan22_Lightx2v recommended
Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_v1030_rank_64_bf16
2.2 I2V High 2025.10.30 new and reportedly much better with prompt adherence
Artist: “to be honest I stopped using this lora as I’m getting color and light shifts with it”
remains the most recommended I2V high LoRa
HF:lightx2v/Wan2.2-Distill-Loras wan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_1022 2.2 I2V High 2025.10.22 superceeded by 1030
HF:lightx2v/Wan2.2-Distill-Loras wan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_1022 2.2 I2V Low 2025.10.22 -
HF:Kijai/WanVideo_comfy:LoRAs/Wan22_Lightx2v Wan_2_2_I2V_A14B_HIGH_lightx2v_MoE_distill_lora_rank_64_bf16 2.2 I2V High - superceeded by 1022 and 1030
ghosting with simple scheduler but not linear quadratic?
can do good motion and camera motion
HF:Kijai/WanVideo_comfy:Lightx2v recommended
lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16
lightx2v_I2V_14B_480p_cfg_step_distill_rank256_bf16
2.1 I2V - Recommended on 2.2 I2V Low
with a strength of 1.0-1.5
could even be used on high with strength 3
HF:Kijai/WanVideo_comfy:Lightx2v lightx2v_14B_T2V_cfg_step_distill_lora_adaptive_rank_quantile_0.15_bf16 2.1 T2V - Some artists find this good on 2.2 T2V Low,
FL13 also recommends on 2.2 I2V Low

Demoted due to developers’ comments

The Wan2.2 rCM checkpoints are obtained by merging Wan 2.1 rCM weights to Wan 2.2 checkpoints, no extra training inlcuded. Should have the same effect as directly using the Wan 2.1 rCM LoRAs.

Repo Lora Generation Approx. Released Comment
HF:Kijai/WanVideo_comfy:LoRAs/rCM Wan22-I2V-A14B-HIGH-rCM6_0_lora_rank_64_bf16 2.2 I2V High/Low 2025.12.09 From NVidia

Note: errors about img_emb keys in the console are expected if using lghtx2v 2.1 LoRA-s.

Can be ignored, just happens because 2.2 doesn’t have those layers.

2.1

Repo Lora Generation Approx. Released Comment
Kijai/WanVideo_comfy FastWan/
FastWan_T2V_14B_480p_lora_rank_128_bf16
2.1 T2V - very old but worth a try
vrgamedevgirl84/Wan14BT2VFusioniX FusionX_LoRa/
Wan2.1_T2V_14B_FusionX_LoRA
2.1 T2V - very good for 2.1
vrgamedevgirl84/Wan14BT2VFusioniX FusionX_LoRa/
Wan2.1_I2V_14B_FusionX_LoRA
2.1 I2V - very good for 2.1
vrgamedevgirl84/Wan14BT2VFusioniX FusionX_LoRa/
Phantom_Wan_14B_FusionX_LoRA
2.1 T2V - real trooper for 2.1

“Old” Lightning 2.2

HF:/Kijai/WanVideo_comfy:LoRAs/Wan22-Lightning/old contains fp16 versions of “old” Lightning LoRa-s. Seemingly these have disappeared from official “Lightning” repo but are preserved here. Both I2V and T2V high/low .safetensorts available, T2V in two versions - normal and v1.1:

Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16
Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16

Wan2.2-Lightning_T2V-A14B-4steps-lora_HIGH_fp16
Wan2.2-Lightning_T2V-A14B-4steps-lora_LOW_fp16

Wan2.2-Lightning_T2V-v1.1-A14B-4steps-lora_HIGH_fp16
Wan2.2-Lightning_T2V-v1.1-A14B-4steps-lora_LOW_fp16

Of these Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16 was recently successfully used with WanAnimate.

Non-obvious Combinations

The table bellow lists some non-obvious combinations of LoRa-s and models

LoRAs Models Notes HF fp8_e4m3 HF bf16/fp16
high:none
low:Wan22_A14B_T2V_LOW_Lightning_4steps_lora_250928_rank64_fp16
high:Wan2.2-T2V-A14B-4steps-250928-dyno-high-lightx2v
low:some wan 2.2
Good motion high:Kijai/WanVideo_comfy_fp8_scaled/T2V high:lightxv2/Wan2.2-Lightning/dyno
low:Kijai/WanVideo_comfy/LoRAs/Wan22-Lightning
both high/low: lightx2v_14B_T2V_cfg_step_distill_lora_adaptive_rank_quantile_0.15_bf16.safetensors Wan 2.2 T2V High/Low - - Kijai/WanVideo_comfy
high: lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16
low: ?
Wan 2.2 T2V High/Low 2.5 str on high - Kijai/WanVideo_comfy
high: lightx2v_I2V_14B_480p_cfg_step_distill_rank256_bf16
low: unknown
high: new distill 4 step I2V base model
low:regular Wan 2.2 I2V Low?
accidentally combining seems to massively amp up the amount of motion in shots that just the distill or just the lora doesnt achieve on their own    

Note: LoRa extracted from “dyno” model looses important qualities of “dyno”; e.g. difference between “dyno” and base model cannot be captured by a LoRa.

Special Use

Wan 2.1 and 2.2 LoRA-s:

For morphing/AnimateDiff LoRA-s pls see

Wan 2.1 to Wan 2.2 LOW LoRA

From drozbay