Anima Version
This is an experimental LoRA version trained on Anima Preview.
Anima is a new DiT model focused on anime concepts. You can find it on Hugging Face at circlestone-labs/Anima · Hugging Face
Trigger word
@4x0style
Recommended strength is 1.0
Recommendation to Anima Lora Trainer I am working on /ᐠ ̷ ̷𝅒 ̷‸ ̷𝅒 ̷ ᐟ\ﾉ
https://github.com/WalkingMeatAxolotl/AnimaLoraStudio
transformer_path: ~
vae_path: ~
text_encoder_path: ~
t5_tokenizer_path: ~
data_dir: ~
resolution:
- 1024
aspect_ratio_limit: 2.0
reg_data_dir: ~
reg_caption: null
reg_weight: 0.5
shuffle_caption: true
keep_tokens: 1
flip_augment: true
tag_dropout: 0.0
prefer_json: true
caption_comfy_encoding: true
cache_latents: true
vae_cache_batch_size: 0
navit_packing: false
cache_encode_tiled: false
lora_type: lokr
lora_rank: 32
lora_alpha: 32.0
lokr_factor: 4
lora_dora: false
lora_rs: false
lora_dropout: 0.0
lora_rank_dropout: 0.0
lora_module_dropout: 0.05
lora_reg_dims: null
epochs: 40
max_steps: 0
batch_size: 2
grad_checkpoint: true
grad_accum: 2
learning_rate: 1.0
lr_scheduler: none
optimizer_type: prodigy_plus_schedulefree
ppsf_d_coef: 2.0
ppsf_prodigy_steps: 1800
ppsf_beta1: 0.9
ppsf_beta2: 0.99
ppsf_split_groups: true
ppsf_split_groups_mean: false
ppsf_use_speed: false
ppsf_fused_back_pass: false
ppsf_use_stableadamw: true
weight_decay: 0.0
kv_trim: false
vae_tiling: auto
noise_enhancement_type: none
timestep_sampling: uniform
timestep_schedule_shift: 0.7
timestep_shift_resolution_aware: false
infonoise_enabled: false
loss_type: mse
loss_weighting: none
leap_enabled: true
leap_ratio: 0.3
leap_variant: original
leap_nested_grad_coe: 0.3
leap_min_gap: 0.1
leap_traj_sim_weighting: true
leap_traj_sim_min: 0.1
sra_enabled: false
grad_clip_max_norm: 0.0
mixed_precision: bf16
attention_backend: flash_attn
num_workers: 0
output_dir: ~
output_name: ~
save_every_epochs: 2
save_every_steps: 0
save_state_every_epochs: 1000
save_state_every_steps: 0
seed: 42
resume_lora: null
resume_state: null
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Noob Version
Trained on NoobAI V-Prediction.
Trigger word
ny4hu
Recommended strength is 1.0 on WaiNoob
