Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

https://huggingface.co/Wan-AI/Wan2.1-T2V-14B
Note:
If you are using the 
T2V-1.3B model, we recommend setting the parameter --sample_guide_scale 6.
The 
--sample_shift parameter can be adjusted within the range of 8 to 12 based on the performance.

Test 0 - Different seed variations

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.

Parameters: Steps: 32| Size: 512x512| Seed: 1620085323| CFG scale: 6| App: SD.Next| Version: 34031f5| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.1-T2V-14B-Diffusers


Time: 9m 23.07s | total 957.28 pipeline 562.74 preview 365.22 offload 12.19 vae 9.25 te 7.82 post 0.30 gc 0.29 | GPU 28016 MB 22% | RAM 40.0 GB 32%

CFG6, STEP 32Seed: 1620085323Seed:1931701040Seed:4075624134Seed:2736029172
bookshop girl

Image Added

Image Added

Image Added

Image Added

hand and face

Image Added

Image Added

Image Added

Image Added

legs and shoes

Image Added

Image Added

Image Added

Image Added

Test 1 - Bookshop

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

...

Execution:  Time: 7m 0.68s | total 451.85 pipeline 420.38 offload 11.63 vae 9.38 te 5.40 preview 5.03 post 0.28 gc 0.27 | GPU 28040 MB 22% | RAM 40.38 GB 32%



8162032

CFG0

CFG1

768px

Image Modified

Image Modified

Image Modified

Image Modified

CFG1

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG2

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG3

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG4

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG6

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG8

512px

Image Modified

Image Modified

Image Modified

Image Modified

Test 3 - Legs

Prompt: Create a close-up photograph Generate a photo of a woman's face and handlegs, 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 facefeet 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.

Parameters: Steps: 24| Size: 512x512| Seed: 1475741581| CFG scale: 6| App: SD.Next| Version: 287c360| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.1-T2V-14B-Diffusers

Execution: Time: 9m 28.57s | total 605.45 pipeline 560.66 offload 19.51 vae 10.48 move 7.63 te 7.14 post 0.27 gc 0.26 | GPU 29274 MB 23% | RAM 40.42 GB 32%



8162032

CFG0

CFG1

768px

Image Modified

Image Modified

Image Modified

Image Modified

CFG1

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG2

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG3

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG4

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG6

512px

Image Modified

Image Modified

Image Modified

Image Modified

CFG8

512px

Image Modified

Image Modified

Image Modified

Image Modified

Test 4 - Different seed variations

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.

Parameters: Steps: 32| Size: 512x512| Seed: 1620085323| CFG scale: 6| App: SD.Next| Version: 34031f5| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.1-T2V-14B-Diffusers

Time: 9m 23.07s | total 957.28 pipeline 562.74 preview 365.22 offload 12.19 vae 9.25 te 7.82 post 0.30 gc 0.29 | GPU 28016 MB 22% | RAM 40.0 GB 32%

Image Removed
CFG6, STEP 32Seed: 1620085323Seed:1931701040Seed:4075624134Seed:2736029172
bookshop girl

Image Removed

Image Removed

hand and face

Image Removed

Image Removed

Image Removed

Image Removed

legs and shoes

Image Removed

Image Removed

Image Removed

System info


Code Block
app: sdnext.git updated: 2025-07-20 hash: 287c3600 url: https://github.com/vladmandic/sdnext.git/tree/dev
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-24-generic
python: 3.12.3 Torch 2.7.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
xformers:  diffusers: 0.35.0.dev0 transformers: 4.53.2
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/Wan-AI/Wan2.1-T2V-14B-Diffusers [38ec498cb3] refiner: none vae: none te: none unet: none

...

Code Block
{
  "sd_model_checkpoint": "Diffusers/Wan-AI/Wan2.1-T2V-14B-Diffusers [38ec498cb3]",
  "diffusers_version": "9c13f8657986e68f5f05987912c54432fd28d86f",
  "sd_checkpoint_hash": null,
  "diffusers_offload_min_gpu_memory": 0.05,
  "diffusers_offload_max_gpu_memory": 0.95,
  "diffusers_vae_tiling": true,
  "diffusers_vae_tile_size": 512,
  "dynamic_attention_slice_rate": 1,
  "dynamic_attention_trigger_rate": 2,
  "samples_filename_pattern": "[seq]-[date]-[model_name]-[height]x[width]-STEP[steps]-CFG[cfg]-Seed[seed]"
}


Model info

ModuleClassDeviceDTypeParamsModulesConfig

vae

AutoencoderKLWan

xpu:0

torch.bfloat16

126892531

260

FrozenDict({'base_dim': 96, '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], '_class_name': 'AutoencoderKLWan', '_diffusers_version': '0.33.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--Wan-AI--Wan2.1-T2V-14B-Diffusers/snapshots/38ec498cb3208fb688890f8cc7e94ede2cbd7f68/vae'})

text_encoder

UMT5EncoderModel

cpu

torch.bfloat16

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, "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", "torch_dtype": "bfloat16", "transformers_version": "4.53.2", "use_cache": true, "vocab_size": 256384 }

tokenizer

T5TokenizerFast

None

None

0

0

None

transformer

WanTransformer3DModel

cpu

torch.bfloat16

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, '_use_default_values': ['pos_embed_seq_len'], '_class_name': 'WanTransformer3DModel', '_diffusers_version': '0.33.0.dev0', '_name_or_path': 'Wan-AI/Wan2.1-T2V-14B-Diffusers'})

scheduler

UniPCMultistepScheduler

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', '_use_default_values': ['time_shift_type', 'use_dynamic_shifting'], '_class_name': 'UniPCMultistepScheduler', '_diffusers_version': '0.33.0.dev0'})

_name_or_path

str

None

None

0

0

None

_class_name

str

None

None

0

0

None

_diffusers_version

str

None

None

0

0

None