Info
https://huggingface.co/Wan-AI/Wan2.1-T2V-14B
Note:
If you are using theT2V-1.3Bmodel, we recommend setting the parameter--sample_guide_scale 6.
The--sample_shift parametercan be adjusted within the range of 8 to 12 based on the performance.
Test 1 - Bookshop
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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CFG1 |
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512px
CFG3
512px
CFG4
512px
CFG6
512px
CFG8
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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.
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CFG1 |
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512px
CFG3
512px
CFG4
512px
CFG6
512px
CFG8
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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.
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CFG0
CFG1
768px
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CFG1
512px
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CFG2
512px
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CFG3
512px
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CFG4
512px
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CFG6
512px
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CFG8
512px
Test 4 - Different seed variations and resolutions
512px
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768px
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
Parameters: Steps: 3220| Size: 768x7681024x1024| Seed: 16200853231931701040| CFG scale: 6| App: SD.Next| Version: 34031f5| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.1-T2V-1.3B-Diffusers
Execution: Time: 3m
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54.
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34s | total
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439.
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88 pipeline
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233.
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25 preview
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194.
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33 te 5.
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20 offload
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5.
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07 vae 1.20 decode 0.
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80 post 0.
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27 gc
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Test 4 - Different seed variations and resolutions
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Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
Parameters: Steps: 32| Size: 1024x1024 768x768| Seed: 40756241341620085323| CFG scale: 6| App: SD.Next| Version: 34031f5| Pipeline: WanPipeline| Operations: txt2img| Model: Wan2.1-T2V-1.3B-Diffusers
Time: 5m 513m 11.86s 75s | total 466356.56 41 pipeline 350191.76 48 preview 103154.42 52 te 5.43 39 offload 54.07 33 vae 1.03 decode 0.81 65 post 0.28 gc 0.25 | GPU 11822 14298 MB 9% 11% | RAM 1613.31 68 GB 13%11%
| CFG6, STEP 32 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 | ||
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| 1024px |
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| bookshop girl |
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| 1024px |
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| 768 |
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System info
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app: sdnext.git updated: 2025-07-21 hash: 34031f54 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-1.3B-Diffusers [0fad780a53] refiner: none vae: none te: none unet: none |
Config
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{
"sd_model_checkpoint": "Diffusers/Wan-AI/Wan2.1-T2V-1.3B-Diffusers [0fad780a53]",
"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
| Module | Class | Device | DType | Params | Modules | Config |
|---|---|---|---|---|---|---|
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-1.3B-Diffusers/snapshots/0fad780a534b6463e45facd96134c9f345acfa5b/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 | xpu:0 | torch.bfloat16 | 1418996800 | 858 | FrozenDict({'patch_size': [1, 2, 2], 'num_attention_heads': 12, 'attention_head_dim': 128, 'in_channels': 16, 'out_channels': 16, 'text_dim': 4096, 'freq_dim': 256, 'ffn_dim': 8960, 'num_layers': 30, '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-1.3B-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': ['use_dynamic_shifting', 'time_shift_type'], '_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 |
...