Info
https://huggingface.co/Tiwaz/CenKreChro
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Centerfold Flux 5 + Krea + Chroma
Prompt: Viking, fur parts in his clothes has recognizable tiger patterns, cowboy belt, indian orange turban, tiwaz rune is on his belt buckle. He is holding a pole of road sign reads “CENterfold KREa CHROma”. Golden Gate Bridge on the background. 12B is handwritten over the image in the top left corner.
Parameters: Steps: 12| Size: 1024x1024| Seed: 41| CFG scale: 6| App: SD.Next| Version: 59174fe| Pipeline: FluxPipeline| Operations: txt2img| Model: CenKreChro
https://huggingface.co/Tiwaz/CenKreChro_V2_3
Time: 4m 59.01s | total 310.14 pipeline 292.69 decode 6.29 preview 5.68 prompt 1.90 te 1.90 callback 1.31 gc 0.33 | GPU 34662 MB 29% | RAM 48.8 GB 39%
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You can try using it as low as 12 steps (prefer 30). |
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
| CFG4, STEP 12 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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| Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 | |
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Test 1 - Bookshop
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
Parameters: Steps: 4| Size: 1280x1280| Seed: 4075624134| CFG scale: 4| App: SD.Next| Version: fd30a8e| Pipeline: FluxPipeline| Operations: txt2img| Model: CenKreChro
Time: 2m 44.92s | total 172.60 pipeline 157.62 decode 7.26 preview 2.87 prompt 1.90 te 1.89 callback 0.68 gc 0.33 | GPU 37690 MB 31% | RAM 48.88 GB 39%
| 4 | 8 | 12 | 16 | 32 | 64 | CFG1 | CFG2 | 24 | ||
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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.
Parameters: Steps: 12| Size: 1280x1280| Seed: 2736029172| CFG scale: 4| App: SD.Next| Version: fd30a8e| Pipeline: FluxPipeline| Operations: txt2img| Model: CenKreChro
Time: 7m 55.29s | total 482.80 pipeline 467.91 decode 7.34 callback 2.03 prompt 1.90 te 1.89 preview 1.36 gc 0.33 | GPU 37690 MB 31% | RAM 48.88 GB 39%
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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.
Parameters: Steps: 30| Size: 1280x1280| Seed: 2925654389| CFG scale: 5| App: SD.Next| Version: 9c47d88| Pipeline: FluxPipeline| Operations: txt2img| Model: CenKreChro
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Test 4 - Other model Covers
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v2.3 examples
with default negative prompt added
System info
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Sat Oct 25 12:53:29 2025 app: sdnext.git updated: 2025-10-26 hash: 59174fe8c 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 python: 3.12.3 Torch: 2.7.1+xpu device: Intel(R) Arc(TM) Graphics (1) pex: 2.7.10+xpu ram: free:117.99 used:7.34 total:125.33 gpu: free:83.55 used:33.83 total:117.37 gpu-active: current:31.44 peak:31.44 gpu-allocated: current:31.44 peak:31.44 gpu-reserved: current:33.83 peak:33.83 gpu-inactive: current:0.01 peak:0.01 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: Tiwaz/CenKreChro refiner: none vae: none te: none unet: none Backend: ipex Pipeline: native Memory optimization: none Cross-attention: Scaled-Dot-Product |
Config
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"diffusers_version": "7536f647e4144c7acaf9e140893ff7edb85bf9a3", "diffusers_to_gpu": true, "device_map": "gpu", "model_wan_stage": "combined", "diffusers_offload_mode": "none", "ui_request_timeout": 300000, "civitai_token": "f1099bd3751c5985c20e4b25b79cba65", "huggingface_token": "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", "hf_transfer_mode": "xet", "sd_model_checkpoint": "Tiwaz/CenKreChro", "sd_checkpoint_hash": null |
Model info
Diffusers/Tiwaz/CenKreChro [b7a5f36b42]
| Module | Class | Device | Dtype | Quant | Params | Modules | Config |
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| 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', '_name_or_path': '/mnt/models/Diffusers/models--Tiwaz--CenKreChro/snapshots/b7a5f36b42a682d2d3bcd2af7a498c160b947372/vae'}) |
| text_encoder | CLIPTextModel | xpu:0 | torch.bfloat16 | None | 123060480 | 152 | CLIPTextConfig { "architectures": [ "CLIPTextModel" ], "attention_dropout": 0.0, "bos_token_id": 0, "dropout": 0.0, "dtype": "bfloat16", "eos_token_id": 2, "hidden_act": "quick_gelu", "hidden_size": 768, "initializer_factor": 1.0, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-05, "max_position_embeddings": 77, "model_type": "clip_text_model", "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 1, "projection_dim": 768, "transformers_version": "4.57.1", "vocab_size": 49408 } |
| text_encoder_2 | T5EncoderModel | xpu:0 | torch.bfloat16 | None | 4762310656 | 463 | T5Config { "architectures": [ "T5EncoderModel" ], "classifier_dropout": 0.0, "d_ff": 10240, "d_kv": 64, "d_model": 4096, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "dtype": "bfloat16", "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": false, "is_gated_act": true, "layer_norm_epsilon": 1e-06, "model_type": "t5", "num_decoder_layers": 24, "num_heads": 64, "num_layers": 24, "output_past": true, "pad_token_id": 0, "relative_attention_max_distance": 128, "relative_attention_num_buckets": 32, "tie_word_embeddings": false, "transformers_version": "4.57.1", "use_cache": false, "vocab_size": 32128 } |
| tokenizer | CLIPTokenizer | None | None | None | 0 | 0 | None |
| tokenizer_2 | T5TokenizerFast | None | None | None | 0 | 0 | None |
| transformer | FluxTransformer2DModel | xpu:0 | torch.bfloat16 | None | 11901408320 | 1279 | FrozenDict({'patch_size': 1, 'in_channels': 64, 'out_channels': None, 'num_layers': 19, 'num_single_layers': 38, 'attention_head_dim': 128, 'num_attention_heads': 24, 'joint_attention_dim': 4096, 'pooled_projection_dim': 768, 'guidance_embeds': True, 'axes_dims_rope': [16, 56, 56], '_class_name': 'FluxTransformer2DModel', '_diffusers_version': '0.36.0.dev0', '_name_or_path': 'Tiwaz/CenKreChro'}) |
| scheduler | FlowMatchEulerDiscreteScheduler | None | None | None | 0 | 0 | FrozenDict({'num_train_timesteps': 1000, 'shift': 3.0, 'use_dynamic_shifting': True, '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': ['stochastic_sampling', 'invert_sigmas', 'use_karras_sigmas', 'use_beta_sigmas', 'shift_terminal', 'use_exponential_sigmas', 'time_shift_type'], '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.30.0.dev0'}) |
| image_encoder | NoneType | None | None | None | 0 | 0 | None |
| feature_extractor | NoneType | None | None | None | 0 | 0 | None |
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