Info

high noice

low noise

combined

WAN 2.2. A14B

512px

Prompt: A woman with long flowing hair and a sleek black dress silhouette dances gracefully in front of a large floor-to-ceiling window, her movements fluid and expressive. The window reveals a breathtaking panoramic view of a sprawling winter city at night, snow-covered rooftops gleam beneath dim streetlights, neon signs flicker across icy facades, and distant bridges reflect shimmering lights on frozen rivers. Frost patterns adorn the glass, adding depth and realism to the scene. Above the dancer, image wide bold red text reads "WAN 2.2"; smaller black text in a cyan circle "14B" appears in the upper-left corner, subtly indicating version information. The overall mood is serene yet dynamic, blending elegance with urban coldness, illuminated by warm contrasts between the dancer’s motion and the stark beauty of the nighttime landscape.

Time: 2m 23.23s | total 191.41 pipeline 143.20 preview 45.54 te 1.49 vae 1.15 | GPU 39818 MB 32% | RAM 42.71 GB 35%

Prompt: A woman with long flowing hair and a sleek black dress silhouette dances gracefully in front of a large floor-to-ceiling window, her movements fluid and expressive. The window reveals a breathtaking panoramic view of a sprawling winter city at night, snow-covered rooftops gleam beneath dim streetlights, neon signs flicker across icy facades, and distant bridges reflect shimmering lights on frozen rivers. Frost patterns adorn the glass, adding depth and realism to the scene. Above the dancer, image wide bold red text reads "WAN 2.2"; smaller black text in a cyan circle "14B" appears in the upper-left corner, subtly indicating version information. The overall mood is serene yet dynamic, blending elegance with urban coldness, illuminated by warm contrasts between the dancer’s motion and the stark beauty of the nighttime landscape.

Time: 2m 32.26s | total 207.77 pipeline 152.19 preview 51.21 te 2.95 vae 1.36 | GPU 39880 MB 32% | RAM 43.8 GB 36%

Prompt: A woman with long flowing hair and a sleek black dress silhouette dances gracefully in front of a large floor-to-ceiling window, her movements fluid and expressive. The window reveals a breathtaking panoramic view of a sprawling winter city at night, snow-covered rooftops gleam beneath dim streetlights, neon signs flicker across icy facades, and distant bridges reflect shimmering lights on frozen rivers. Frost patterns adorn the glass, adding depth and realism to the scene. Above the dancer, image wide bold red text reads "WAN 2.2"; smaller black text in a cyan circle "14B" appears in the upper-left corner, subtly indicating version information. The overall mood is serene yet dynamic, blending elegance with urban coldness, illuminated by warm contrasts between the dancer’s motion and the stark beauty of the nighttime landscape.

https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B
https://github.com/Wan-Video/Wan2.2

Test 0 - Different seed variations

Low Noise only

CFG6, STEP 20	Seed: 1620085323	Seed:1931701040	Seed:4075624134	Seed:2736029172
hand and face and bookshop girl

Combined (Low and high Noise)

Prompt: Create a close-up photograph of a woman's face and hand, with her hand raised to her chin. She is wearing a white blazer and has a gold ring on her finger. Her nails are neatly manicured and her hair is pulled back into a low bun. She is smiling and has a radiant expression on her face. The background is a plain light gray color. The overall mood of the photo is elegant and sophisticated. The photo should have a soft, natural light and a slight warmth to it. The woman's hair is dark brown and pulled back into a low bun, with a few loose strands framing her face.

CFG6, STEP 20	Seed: 1620085323	Seed:1931701040	Seed:4075624134	Seed:2736029172
bookshop girl
hand and face
legs and shoes

Test 1 - Bookshop

Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling

Time: 19m 51.71s | total 1290.47 pipeline 1191.68 preview 98.20 vae 0.32 | GPU 70822 MB 55% | RAM 97.11 GB 77%

	4	8	16	24	28
CFG1
CFG2
CFG3
CFG4
CFG5
CFG6
CFG8

Test 2 - Face and hand

Prompt: Create a close-up photograph of a woman's face and hand, with her hand raised to her chin. She is wearing a white blazer and has a gold ring on her finger. Her nails are neatly manicured and her hair is pulled back into a low bun. She is smiling and has a radiant expression on her face. The background is a plain light gray color. The overall mood of the photo is elegant and sophisticated. The photo should have a soft, natural light and a slight warmth to it. The woman's hair is dark brown and pulled back into a low bun, with a few loose strands framing her face.

Time: 89m 47.08s | total 5702.88 pipeline 5387.04 preview 309.48 te 4.07 vae 2.15 | GPU 70822 MB 55% | RAM 94.74 GB 76%

	4	8	16	32	64
CFG1
CFG2
CFG3
CFG4
CFG5
CFG6
CFG8
CFG10

Test 3 - Legs

Prompt: Generate a photo of a woman's legs, with her feet crossed and wearing white high-heeled shoes with ribbons tied around her ankles. The shoes should have a pointed toe and a stiletto heel. The woman's legs should be smooth and tanned, with a slight sheen to them. The background should be a light gray color. The photo should be taken from a low angle, looking up at the woman's legs. The ribbons should be tied in a bow shape around the ankles. The shoes should have a red sole. The woman's legs should be slightly bent at the knee.

Time: 28m 2.91s | total 1729.31 pipeline 1682.88 preview 43.76 te 2.32 vae 0.32 | GPU 70822 MB 55% | RAM 97.11 GB 77%

	8	16	20	32
CFG1
CFG2
CFG3
CFG4
CFG5
CFG6
CFG8

Other model covers

System info

Fri Oct 24 15:48:18 2025
app: sdnext.git updated: 2025-10-23 hash: c9fdd56eb url: https://github.com/liutyi/sdnext.git/tree/pytorch
arch: x86_64 cpu: x86_64 
system: Linux release: 6.14.0-33-generic 
python: 3.12.3 pytorch 2.9.0+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:121.55 used:3.78 total:125.33
xformers:  diffusers: 0.36.0.dev0 transformers: 4.57.1
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/Wan-AI/Wan2.2-T2V-A14B-Diffusers [5be7df9619] refiner: none vae: none te: none unet: none
ipex native Scaled-Dot-Product

and

Thu Nov 13 18:34:05 2025
app: sdnext.git updated: 2025-11-11 hash: d5eaed811 url: https://github.com/liutyi/sdnext/tree/ipex
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-35-generic
python: 3.12.3 pytorch 2.7.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 2.7.10+xpu
ram: free:96.12 used:29.21 total:125.33
gpu: free:48.11 used:69.27 total:117.37 gpu-active: current:64.53 peak:65.78 gpu-allocated: current:64.53 peak:65.78 gpu-reserved: current:69.27 peak:69.27 gpu-inactive: current:0.02 peak:0.64 
events: retries:0 oom:0 utilization: 0
xformers: diffusers: 0.36.0.dev0 transformers: 4.57.1
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Wan-AI/Wan2.2-T2V-A14B-Diffusers refiner: none vae: none te: none unet: none
ipex native Scaled-Dot-Product

Config

{
  "sd_model_checkpoint": "Wan-AI/Wan2.2-T2V-A14B-Diffusers",
  "diffusers_to_gpu": true,
  "device_map": "gpu",
  "diffusers_offload_mode": "none",
  "sdnq_dequantize_compile": false,
  "ui_request_timeout": 300000,
  "huggingface_token": "hf..FraU",
  "diffusers_version": "b3e9dfced7c9e8d00f646c710766b532383f04c6",
  "sd_checkpoint_hash": "6681e8e4b134c81f16533acedb0d406d7e5e366e1624b4105178c64d00b05d51",
  "civitai_token": "f1..65",
  "model_wan_stage": "combined"
}

Model info

Module	Class	Device	Dtype	Quant	Params	Modules	Config
vae	AutoencoderKLWan	cpu	torch.bfloat16	None	126892531	260	FrozenDict({'base_dim': 96, 'decoder_base_dim': None, 'z_dim': 16, 'dim_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_scales': [], 'temperal_downsample': [False, True, True], 'dropout': 0.0, 'latents_mean': [-0.7571, -0.7089, -0.9113, 0.1075, -0.1745, 0.9653, -0.1517, 1.5508, 0.4134, -0.0715, 0.5517, -0.3632, -0.1922, -0.9497, 0.2503, -0.2921], 'latents_std': [2.8184, 1.4541, 2.3275, 2.6558, 1.2196, 1.7708, 2.6052, 2.0743, 3.2687, 2.1526, 2.8652, 1.5579, 1.6382, 1.1253, 2.8251, 1.916], 'is_residual': False, 'in_channels': 3, 'out_channels': 3, 'patch_size': None, 'scale_factor_temporal': 4, 'scale_factor_spatial': 8, '_use_default_values': ['scale_factor_spatial', 'is_residual', 'scale_factor_temporal', 'in_channels', 'patch_size', 'out_channels', 'decoder_base_dim'], '_class_name': 'AutoencoderKLWan', '_diffusers_version': '0.35.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--Wan-AI--Wan2.2-T2V-A14B-Diffusers/snapshots/5be7df9619b54f4e2667b2755bc6a756675b5cd7/vae'})
text_encoder	UMT5EncoderModel	xpu:0	torch.bfloat16	None	5680910336	486	UMT5Config { "architectures": [ "UMT5EncoderModel" ], "classifier_dropout": 0.0, "d_ff": 10240, "d_kv": 64, "d_model": 4096, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "dtype": "bfloat16", "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": true, "is_gated_act": true, "layer_norm_epsilon": 1e-06, "model_type": "umt5", "num_decoder_layers": 24, "num_heads": 64, "num_layers": 24, "output_past": true, "pad_token_id": 0, "relative_attention_max_distance": 128, "relative_attention_num_buckets": 32, "scalable_attention": true, "tie_word_embeddings": false, "tokenizer_class": "T5Tokenizer", "transformers_version": "4.57.1", "use_cache": true, "vocab_size": 256384 }
tokenizer	T5TokenizerFast	None	None	None	0	0	None
transformer	WanTransformer3DModel	xpu:0	torch.bfloat16	None	14288491584	1138	FrozenDict({'patch_size': [1, 2, 2], 'num_attention_heads': 40, 'attention_head_dim': 128, 'in_channels': 16, 'out_channels': 16, 'text_dim': 4096, 'freq_dim': 256, 'ffn_dim': 13824, 'num_layers': 40, 'cross_attn_norm': True, 'qk_norm': 'rms_norm_across_heads', 'eps': 1e-06, 'image_dim': None, 'added_kv_proj_dim': None, 'rope_max_seq_len': 1024, 'pos_embed_seq_len': None, '_class_name': 'WanTransformer3DModel', '_diffusers_version': '0.35.0.dev0', '_name_or_path': 'Wan-AI/Wan2.2-T2V-A14B-Diffusers'})
scheduler	UniPCMultistepScheduler	None	None	None	0	0	FrozenDict({'num_train_timesteps': 1000, 'beta_start': 0.0001, 'beta_end': 0.02, 'beta_schedule': 'linear', 'trained_betas': None, 'solver_order': 2, 'prediction_type': 'flow_prediction', 'thresholding': False, 'dynamic_thresholding_ratio': 0.995, 'sample_max_value': 1.0, 'predict_x0': True, 'solver_type': 'bh2', 'lower_order_final': True, 'disable_corrector': [], 'solver_p': None, 'use_karras_sigmas': False, 'use_exponential_sigmas': False, 'use_beta_sigmas': False, 'use_flow_sigmas': True, 'flow_shift': 3.0, 'timestep_spacing': 'linspace', 'steps_offset': 0, 'final_sigmas_type': 'zero', 'rescale_betas_zero_snr': False, 'use_dynamic_shifting': False, 'time_shift_type': 'exponential', '_class_name': 'UniPCMultistepScheduler', '_diffusers_version': '0.35.0.dev0'})
transformer_2	WanTransformer3DModel	xpu:0	torch.bfloat16	None	14288491584	1138	FrozenDict({'patch_size': [1, 2, 2], 'num_attention_heads': 40, 'attention_head_dim': 128, 'in_channels': 16, 'out_channels': 16, 'text_dim': 4096, 'freq_dim': 256, 'ffn_dim': 13824, 'num_layers': 40, 'cross_attn_norm': True, 'qk_norm': 'rms_norm_across_heads', 'eps': 1e-06, 'image_dim': None, 'added_kv_proj_dim': None, 'rope_max_seq_len': 1024, 'pos_embed_seq_len': None, '_class_name': 'WanTransformer3DModel', '_diffusers_version': '0.35.0.dev0', '_name_or_path': 'Wan-AI/Wan2.2-T2V-A14B-Diffusers'})
boundary_ratio	float	None	None	None	0	0	None
expand_timesteps	bool	None	None	None	0	0	None

Page tree

Test 36 - WAN2.2 A14B combined - steps and guidance