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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.

CFG 1, STEP 8Seed: 1620085323Seed:1931701040Seed:4075624134Seed:2736029172
Bookshop girl

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Face and hand

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Legs and shoes

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Test 1 - Bookstore

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



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Test 2 - Face and hands

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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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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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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Test 6 - Optional find the cover


Test 7 - Empty prompts

seed:1seed:2seed:3seed:4seed:5

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seed:21seed:42seed:68seed:324seed:2026

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System Info

Code Block
Diffusers/baidu/ERNIE-Image-Turbo [54f8a75695]
app: sdnext.git updated: 2026-06-28 hash: bed2bc36a tag:  tags:  url: https://github.com/liutyi/sdnext/tree/pytorch
arch: x86_64 cpu: x86_64 system: Linux release: 6.17.0-35-generic
python: 3.12.3 Torch: 2.11.0+xpu
device: Intel(R) Arc(TM) Graphics (1)
ram: free:115.51 used:9.82 total:125.32
xformers: diffusers: 0.39.0.dev0 transformers: 5.13.0.dev0
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/baidu/ERNIE-Image-Turbo [54f8a75695] refiner: none vae: none te: none unet: none
Backend: ipex Pipeline: native Memory optimization: none Cross-attention: Scaled-Dot-Product

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Diffusers/baidu/ERNIE-Image-Turbo [54f8a75695]

ModuleClassDeviceDtypeQuantParamsModulesConfig
transformerErnieImageTransformer2DModelxpu:0torch.bfloat16None8033490048558

FrozenDict({'hidden_size': 4096, 'num_attention_heads': 32, 'num_layers': 36, 'ffn_hidden_size': 12288, 'in_channels': 128, 'out_channels': 128, 'patch_size': 1, 'text_in_dim': 3072, 'rope_theta': 256, 'rope_axes_dim': [32, 48, 48], 'eps': 1e-06, 'qk_layernorm': True, '_class_name': 'ErnieImageTransformer2DModel', '_diffusers_version': '0.36.0', 'lora_rank': 4, 'use_lora': False, '_name_or_path': 'baidu/ERNIE-Image-Turbo'})

vaeAutoencoderKLFlux2xpu:0torch.bfloat16None84046115244

FrozenDict({'in_channels': 3, 'out_channels': 3, 'down_block_types': ['DownEncoderBlock2D', 'DownEncoderBlock2D', 'DownEncoderBlock2D', 'DownEncoderBlock2D'], 'up_block_types': ['UpDecoderBlock2D', 'UpDecoderBlock2D', 'UpDecoderBlock2D', 'UpDecoderBlock2D'], 'block_out_channels': [128, 256, 512, 512], 'decoder_block_out_channels': None, 'layers_per_block': 2, 'act_fn': 'silu', 'latent_channels': 32, 'norm_num_groups': 32, 'sample_size': 1024, 'force_upcast': True, 'use_quant_conv': True, 'use_post_quant_conv': True, 'mid_block_add_attention': True, 'batch_norm_eps': 0.0001, 'batch_norm_momentum': 0.1, 'patch_size': [2, 2], '_use_default_values': ['decoder_block_out_channels'], '_class_name': 'AutoencoderKLFlux2', '_diffusers_version': '0.36.0', '_name_or_path': '/mnt/models/Diffusers/models--baidu--ERNIE-Image-Turbo/snapshots/bc68c81e2a1730a394d5fc9fae70713dee940140/vae'})

text_encoderMistral3Modelxpu:0torch.bfloat16None3849090048669

Mistral3Config { "architectures": [ "Mistral3Model" ], "dtype": "bfloat16", "image_token_index": 10, "model_type": "mistral3", "multimodal_projector_bias": false, "projector_hidden_act": "gelu", "spatial_merge_size": 2, "text_config": { "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "bfloat16", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 3072, "initializer_range": 0.02, "intermediate_size": 9216, "max_position_embeddings": 262144, "model_type": "mistral", "num_attention_heads": 32, "num_hidden_layers": 26, "num_key_value_heads": 8, "pad_token_id": null, "rms_norm_eps": 1e-05, "rope_parameters": { "beta_fast": 32.0, "beta_slow": 1.0, "factor": 16.0, "llama_4_scaling_beta": 0.1, "mscale": 1.0, "mscale_all_dim": 1.0, "original_max_position_embeddings": 16384, "rope_theta": 1000000.0, "rope_type": "yarn", "type": "yarn" }, "sliding_window": null, "tie_word_embeddings": true, "use_cache": true, "vocab_size": 131072 }, "tie_word_embeddings": true, "transformers_version": "5.13.0.dev0", "vision_config": { "attention_dropout": 0.0, "dtype": "bfloat16", "head_dim": 64, "hidden_act": "silu", "hidden_size": 1024, "image_size": 1540, "initializer_range": 0.02, "intermediate_size": 4096, "model_type": "pixtral", "num_attention_heads": 16, "num_channels": 3, "num_hidden_layers": 24, "patch_size": 14, "rope_parameters": { "rope_theta": 10000.0, "rope_type": "default" } }, "vision_feature_layer": -1 }

tokenizerTokenizersBackendNoneNoneNone00

None

schedulerFlowMatchEulerDiscreteSchedulerNoneNoneNone00

FrozenDict({'num_train_timesteps': 1000, 'shift': 4.0, 'use_dynamic_shifting': False, 'base_shift': 0.5, 'max_shift': 1.15, 'base_image_seq_len': 256, 'max_image_seq_len': 4096, 'invert_sigmas': False, 'shift_terminal': None, 'use_karras_sigmas': False, 'use_exponential_sigmas': False, 'use_beta_sigmas': False, 'time_shift_type': 'exponential', 'stochastic_sampling': False, '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.36.0'})

peNoneTypeNoneNoneNone00

None

pe_tokenizerTokenizersBackendNoneNoneNone00

None