https://huggingface.co/Boogu/Boogu-Image-0.1-Turbo
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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.
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.
| CFGx, STEPxx | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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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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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.
Runtime: App: SD.Next| Version: b14d505| Pipeline: BooguImageTurboPipeline| Operations: txt2img
Parameters: Steps: 4| Size: 1024x1024| Scheduler: BooguFlowMatchEulerScheduler| Seed: 1620085323| CFG scale: 1| CFG rescale: 0| Model: Boogu-Image-0.1-Turbo
185H Time: 2m 5.85s | pipeline 125.74 te 2.10 vae 1.44 | GPU 39734 MB 62% | RAM 45.56 GB 73%
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| seed:21 | seed:42 | seed:68 | seed:324 | seed:2026 |
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Sun Jul 5 01:36:19 2026 app: sdnext.git updated: 2026-07-04 hash: b14d505d6 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) ipex: ram: free:116.14 used:9.18 total:125.32 xformers: diffusers: 0.39.0.dev0 transformers: 5.14.0.dev0 active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16 base: Diffusers/Boogu/Boogu-Image-0.1-Turbo [7c475e94dd] 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/Boogu/Boogu-Image-0.1-Turbo [7c475e94dd]
| Module | Class | Device | Dtype | Quant | Params | Modules | Config |
|---|---|---|---|---|---|---|---|
| transformer | BooguImageTransformer2DModel | xpu:0 | torch.bfloat16 | None | 10292556288 | 1295 | FrozenDict({'patch_size': 2, 'in_channels': 16, 'out_channels': None, 'hidden_size': 3360, 'num_layers': 40, 'num_double_stream_layers': 8, 'num_refiner_layers': 2, 'num_attention_heads': 28, 'num_kv_heads': 7, 'multiple_of': 256, 'ffn_dim_multiplier': None, 'norm_eps': 1e-05, 'axes_dim_rope': [40, 40, 40], 'axes_lens': [2048, 1664, 1664], 'instruction_feature_configs': {'instruction_feat_dim': 4096, 'num_instruction_feature_layers': 1, 'reduce_type': 'mean'}, 'timestep_scale': 1000.0, '_class_name': 'BooguImageTransformer2DModel', '_diffusers_version': '0.35.2', 'prompt_tuning_configs': {'use_prompt_tuning': False}, '_name_or_path': 'Boogu/Boogu-Image-0.1-Turbo'}) |
| vae | AutoencoderKL | xpu:0 | torch.bfloat16 | None | 83819683 | 241 | 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': 16, 'norm_num_groups': 32, 'sample_size': 1024, 'scaling_factor': 0.3611, 'shift_factor': 0.1159, 'latents_mean': None, 'latents_std': None, 'force_upcast': True, 'use_quant_conv': False, 'use_post_quant_conv': False, 'mid_block_add_attention': True, '_class_name': 'AutoencoderKL', '_diffusers_version': '0.35.2', '_name_or_path': '/mnt/models/Diffusers/models--Boogu--Boogu-Image-0.1-Turbo/snapshots/7c475e94ddb10529daa9142942d297675dde1acc/vae'}) |
| scheduler | BooguFlowMatchEulerScheduler | None | None | None | 0 | 0 | FrozenDict({'num_train_timesteps': 1000, 'do_shift': True, 'dynamic_time_shift': False, 'time_shift_version': 'v1', 'seq_len': 4096, 'base_shift': 0.5, 'max_shift': 1.15, 'time_shift_v2_half_scaling_factor': 60.0, '_use_default_values': ['max_shift', 'time_shift_v2_half_scaling_factor', 'base_shift'], '_class_name': 'BooguFlowMatchEulerScheduler', '_diffusers_version': '0.33.1'}) |
| mllm | Qwen3VLModel | xpu:0 | torch.bfloat16 | None | 8144793840 | 843 | Qwen3VLConfig { "architectures": [ "Qwen3VLForConditionalGeneration" ], "dtype": "bfloat16", "image_token_id": 151655, "model_type": "qwen3_vl", "text_config": { "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "bfloat16", "eos_token_id": 151645, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 12288, "max_position_embeddings": 262144, "model_type": "qwen3_vl_text", "num_attention_heads": 32, "num_hidden_layers": 36, "num_key_value_heads": 8, "pad_token_id": null, "rms_norm_eps": 1e-06, "rope_parameters": { "mrope_interleaved": true, "mrope_section": [ 24, 20, 20 ], "rope_theta": 5000000, "rope_type": "default" }, "use_cache": true, "vocab_size": 151936 }, "tie_word_embeddings": false, "transformers_version": "5.14.0.dev0", "video_token_id": 151656, "vision_config": { "deepstack_visual_indexes": [ 8, 16, 24 ], "depth": 27, "dtype": "bfloat16", "hidden_act": "gelu_pytorch_tanh", "hidden_size": 1152, "in_channels": 3, "initializer_range": 0.02, "intermediate_size": 4304, "model_type": "qwen3_vl_vision", "num_heads": 16, "num_position_embeddings": 2304, "out_hidden_size": 4096, "patch_size": 16, "spatial_merge_size": 2, "temporal_patch_size": 2 }, "vision_end_token_id": 151653, "vision_start_token_id": 151652 } |
| processor | Qwen3VLProcessor | None | None | None | 0 | 0 | None |
