Info
https://huggingface.co/purplesmartai/pony-v7-base
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V7 supports resolutions in the range of 768px to 1536px. It is recommended to go for higher resolutions and at least 30 steps during inference. |
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
| CFG5, STEP 50 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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| bookshop girl |
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| hand and face |
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| legs and shoes |
1024
| CFG6, STEP 12 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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| bookshop girl |
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| hand and face |
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| legs and shoes |
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Test 1 - Bookshop
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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| 4 | 8 | 16 | 32 | 64 | |
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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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| 8 | 16 | 20 | 32 | |
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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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| 8 | 16 | 20 | 32 | |
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CFG3 | ||||
CFG3.5 | ||||
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CFG8 |
Test 4 - Other model Covers
System info
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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
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{
"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
| Module | Class | Device | Dtype | Quant | Params | Modules | Config |
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| tokenizer | LlamaTokenizerFast | None | None | None | 0 | 0 | None |
| text_encoder | UMT5EncoderModel | xpu:0 | torch.bfloat16 | None | 1223550976 | 486 | 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 } |
| vae | AutoencoderKL | xpu:0 | torch.bfloat16 | None | 83653863 | 243 | 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'}) |
| transformer | AuraFlowTransformer2DModel | xpu:0 | torch.bfloat16 | None | 6858605568 | 759 | 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'}) |
| scheduler | FlowMatchEulerDiscreteScheduler | None | None | None | 0 | 0 | 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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