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https://huggingface.co/purplesmartai/pony-v7-base

Code Block
V7 supportsbased on Auraflow. Supports resolutions in the range of 768px to 1536px. 
It is recommended to go for higher resolutions and at least 30 steps during inference.
Both positive and negative prompts with special tags (see the end of the article) is recommended.

Test 0 - Different seed variations

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

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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.

1280 vs 1024 vs 768

bookshop girl

768px
CFG5, STEP 50Seed: 1620085323Seed:1931701040Seed:4075624134Seed:2736029172

bookshop girl

1024px

bookshop girl

1280px

Image Modified

hand and face

768px

hand and face

1024px

hand and face

1280px

Image RemovedImage Added

(with negative prompt addedadjusted prompts (score_9 ...)

legs and shoes768px

legs and shoes

1024px

legs and shoes

1280px

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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CFG2

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CFG3

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CFG4

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CFG5

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CFG6

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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.

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CFG1

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CFG2

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CFG3

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CFG3.5

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CFG4

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CFG5

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CFG8

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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CFG1

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CFG2

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CFG3

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CFG3.5

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CFG4

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CFG5

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CFG8

Test 4 - Other model Covers

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System info


Code Block
Tue Oct 28 19:05:13 2025
app: sdnext.git updated: 2025-10-28 hash: 913af5ebf url: https://github.com/liutyi/sdnext.git/tree/ipex
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-33-generic 
python: 3.12.3 Torch 2.7.1+xpu 
device: Intel(R) Arc(TM) Graphics (1) ipex: 2.7.10+xpu
ram: free:121.31 used:4.02 total:125.33
gpu: free:98.06 used:19.31 total:117.37 gpu-active: current:15.57 peak:17.28 gpu-allocated: current:15.57 peak:17.28 gpu-reserved: current:19.31 peak:19.31 gpu-inactive: current:0.43 peak:0.91
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: Diffusers/purplesmartai/pony-v7-base [af688af595] refiner: none vae: none te: none unet: none
ipex native none Scaled-Dot-Product


Config

Code Block
{
  "diffusers_version": "84e16575e4c5e90b6b49301cfa162ced4cf478d2",
  "diffusers_to_gpu": true,
  "device_map": "gpu",
  "model_wan_stage": "combined",
  "diffusers_offload_mode": "none",
  "ui_request_timeout": 300000,
  "civitai_token": "f1..65",
  "huggingface_token": "hf_...FraU",
  "hf_transfer_mode": "xet",
  "sd_checkpoint_hash": null,
  "sdnq_dequantize_compile": false,
  "show_progress_type": "Approximate",
  "sd_model_checkpoint": "Diffusers/purplesmartai/pony-v7-base [af688af595]"
}


Model info

ModuleClassDeviceDtypeQuantParamsModulesConfig
tokenizerLlamaTokenizerFastNoneNoneNone00

None

text_encoderUMT5EncoderModelxpu:0torch.bfloat16None1223550976486

UMT5Config { "architectures": [ "UMT5EncoderModel" ], "classifier_dropout": 0.0, "d_ff": 5120, "d_kv": 64, "d_model": 2048, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "dtype": "bfloat16", "eos_token_id": 2, "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": 32, "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": "LlamaTokenizerFast", "transformers_version": "4.57.1", "use_cache": true, "vocab_size": 32128 }

vaeAutoencoderKLxpu:0torch.bfloat16None83653863243

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], 'layers_per_block': 2, 'act_fn': 'silu', 'latent_channels': 4, 'norm_num_groups': 32, 'sample_size': 1024, 'scaling_factor': 0.13025, 'shift_factor': None, 'latents_mean': None, 'latents_std': None, 'force_upcast': True, 'use_quant_conv': True, 'use_post_quant_conv': True, 'mid_block_add_attention': True, '_use_default_values': ['mid_block_add_attention'], '_class_name': 'AutoencoderKL', '_diffusers_version': '0.30.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--purplesmartai--pony-v7-base/snapshots/af688af595b3ed4d482e2997a0804250a06a9e8f/vae'})

transformerAuraFlowTransformer2DModelxpu:0torch.bfloat16None6858605568759

FrozenDict({'sample_size': 64, 'patch_size': 2, 'in_channels': 4, 'num_mmdit_layers': 4, 'num_single_dit_layers': 32, 'attention_head_dim': 256, 'num_attention_heads': 12, 'joint_attention_dim': 2048, 'caption_projection_dim': 3072, 'out_channels': 4, 'pos_embed_max_size': 9216, '_class_name': 'AuraFlowTransformer2DModel', '_diffusers_version': '0.34.0.dev0', '_name_or_path': 'purplesmartai/pony-v7-base'})

schedulerFlowMatchEulerDiscreteSchedulerNoneNoneNone00

FrozenDict({'num_train_timesteps': 1000, 'shift': 1.73, '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, '_use_default_values': ['invert_sigmas', 'shift_terminal', 'use_exponential_sigmas', 'use_dynamic_shifting', 'stochastic_sampling', 'max_image_seq_len', 'base_image_seq_len', 'max_shift', 'use_beta_sigmas', 'base_shift',


Prompting Pony V7

https://civitai.com/articles/21107

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