Info
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DRAFT ARTICLE |
https://huggingface.co/tencent/SRPO
Test 0 - Different seed variations
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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| CFG6, STEP 32 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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| bookshop girl |
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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
| 4 | 8 | 16 | 20 | 32 | |
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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.
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| 8 | 16 | 20 | 32 | |
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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.
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| 8 | 16 | 20 | 32 | |
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Test 4 CivitAi profile cover generation
1600x400
Prompt: image with 5 canvases and one android robot painting on the 3rd canvas. first two is done with some futuristic images, last two is blank. robot is surprised look back at the camera. paint brush is in the robot hand. Left bottom corner text "Flux.1 Krea"
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Parameters: Steps: 20| Size: 1600x400| Seed: 1620085323| CFG scale: 6| App: SD.Next| Version: e90ac68| Pipeline: FluxPipeline| Operations: txt2img| Model: FLUX.1-dev
Test 5 CFG 6 vs CFG 3.5
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| CFG 6 |
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System info
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Mon Sep 22 09:38:44 2025 app: sdnext.git updated: 2025-09-21 hash: 82504e96 url: https://github.com/vladmandic/sdnext.git/tree/dev arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-29-generic python: 3.12.3 Torch: 2.7.1+xpu device: Intel(R) Arc(TM) Graphics (1) ipex: 2.7.10+xpu ram: free:121.28 used:4.05 total:125.33 gpu: free:81.62 used:35.75 total:117.37 gpu-active: current:31.63 peak:33.68 gpu-allocated: current:31.63 peak:33.68 gpu-reserved: current:35.75 peak:35.75 gpu-inactive: current:0.13 peak:0.74 events: retries:0 oom:0 utilization: 0 xformers: diffusers: 0.36.0.dev0 transformers: 4.56.1 active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16 base: vladmandic/flux.1-dev-SRPO refiner: none vae: none te: none unet: none Backend: ipex Cross-attention: Scaled-Dot-Product |
Config
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{
"theme_type": "Standard",
"diffusers_version": "efb7a299af46d739dec6a57a5d2814165fba24b5",
"diffusers_offload_mode": "none",
"ui_request_timeout": 300000,
"huggingface_token": "hf_..FraU",
"samples_filename_pattern": "[date]-[seq]-[model_name]-[height]x[width]-Seed[seed]-CFG[cfg]-AG[pag]-STEP[steps]",
"sd_model_checkpoint": "vladmandic/flux.1-dev-SRPO",
"sd_checkpoint_hash": null,
"hf_transfer_mode": "xet",
"extra_networks_sort": "sort: no cards",
"schedulers_solver_order": 1,
"schedulers_sigma": "flowmatch",
"schedulers_prediction_type": "flow_prediction",
"schedulers_timestep_spacing": "leading",
"schedulers_beta_schedule": "scaled",
"cuda_compile_backend": "none",
"diffusers_to_gpu": true,
"device_map": "gpu",
"queue_paused": true
} |
Model info
| Module | Class | Device | DType | 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', '_diffusers_version': '0.36.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--vladmandic--flux.1-dev-SRPO/snapshots/690eab4805ea624e20d1abbe4318afba7cccd6b1/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": "4.56.1", "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": "4.56.1", "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': 'vladmandic/flux.1-dev-SRPO'}) |
| 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, '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.36.0.dev0'}) |
| image_encoder | NoneType | None | None | None | 0 | 0 | None |
| feature_extractor | NoneType | None | None | None | 0 | 0 | None |
...