Info

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