https://huggingface.co/CalamitousFelicitousness/Krea-2-Turbo-Diffusers
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: bed2bc3| Pipeline: Krea2Pipeline| Operations: txt2img
Parameters: Steps: 2| Size: 1024x1024| Scheduler: FlowMatchEulerDiscreteScheduler| Seed: 1931701040| CFG scale: 1| Model: Krea-2-Turbo-Diffusers
285H Time: 42.59s | total 54.27 pipeline 39.96 preview 9.70 decode 2.61 vae 1.16 gc 0.31 sync 0.31 | GPU 38722 MB 30% | RAM 53.2 GB 42%
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| seed:21 | seed:42 | seed:68 | seed:324 | seed:2026 |
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base: Diffusers/CalamitousFelicitousness/Krea-2-Turbo-Diffusers [887ac165df] |
"sd_model_checkpoint": "Diffusers/CalamitousFelicitousness/Krea-2-Turbo-Diffusers [887ac165df]" |
Diffusers/CalamitousFelicitousness/Krea-2-Turbo-Diffusers [887ac165df]
| Module | Class | Device | Dtype | Quant | Params | Modules | Config |
|---|---|---|---|---|---|---|---|
| transformer | Krea2Transformer2DModel | xpu:0 | torch.bfloat16 | None | 12895570508 | 566 | FrozenDict({'features': 6144, 'tdim': 256, 'txtdim': 2560, 'heads': 48, 'kvheads': 12, 'multiplier': 4, 'layers': 28, 'patch': 2, 'channels': 16, 'bias': False, 'theta': 1000.0, 'txtlayers': 12, 'txtheads': 20, 'txtkvheads': 20, 'is_distilled': True, '_class_name': 'Krea2Transformer2DModel', '_diffusers_version': '0.39.0.dev0', '_name_or_path': 'CalamitousFelicitousness/Krea-2-Turbo-Diffusers'}) |
| text_encoder | Qwen3VLModel | xpu:0 | torch.bfloat16 | None | 4437815808 | 813 | 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": 2560, "initializer_range": 0.02, "intermediate_size": 9728, "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" }, "tie_word_embeddings": true, "use_cache": true, "vocab_size": 151936 }, "tie_word_embeddings": true, "transformers_version": "5.13.0.dev0", "video_token_id": 151656, "vision_config": { "deepstack_visual_indexes": [ 5, 11, 17 ], "depth": 24, "dtype": "bfloat16", "hidden_act": "gelu_pytorch_tanh", "hidden_size": 1024, "in_channels": 3, "initializer_range": 0.02, "intermediate_size": 4096, "model_type": "qwen3_vl_vision", "num_heads": 16, "num_position_embeddings": 2304, "out_hidden_size": 2560, "patch_size": 16, "spatial_merge_size": 2, "temporal_patch_size": 2 }, "vision_end_token_id": 151653, "vision_start_token_id": 151652 } |
| tokenizer | Qwen2Tokenizer | None | None | None | 0 | 0 | None |
| vae | AutoencoderKLQwenImage | xpu:0 | torch.bfloat16 | None | 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, 'input_channels': 3, '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': 'AutoencoderKLQwenImage', '_diffusers_version': '0.39.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--CalamitousFelicitousness--Krea-2-Turbo-Diffusers/snapshots/887ac165dfb3c00b4af339a32c33cf4f9a3bd9b2/vae'}) |
| scheduler | FlowMatchEulerDiscreteScheduler | None | None | None | 0 | 0 | FrozenDict({'num_train_timesteps': 1000, 'shift': 1.0, 'use_dynamic_shifting': True, 'base_shift': 1.15, 'max_shift': 1.15, 'base_image_seq_len': 256, 'max_image_seq_len': 6400, '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': '0.39.0.dev0'}) |
