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
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CFG1 |
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CFG2 |
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CFG3 |
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CFG4 |
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CFG5 |
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CFG6 |
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CFG8 |
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Test 2 - Face and hand
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CFG3.5 |
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CFG4 |
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CFG5 |
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CFG6 |
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CFG8 |
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Test 3 - Legs
Prompt:Â 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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CFG3.5 |
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CFG4 |
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CFG5 |
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CFG6 |
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CFG8 |
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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 SRPO"
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Parameters: Steps: 20| Size: 1600x400| Seed: 1620085323| CFG scale: 6| App: SD.Next| Version: 4130c6c| Pipeline: FluxPipeline| Operations: txt2img| Model: flux.1-dev-SRPO
Test 5 CFG 6 vs CFG 3.5
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| CFG 6 |
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Test 6 - Empty prompts
1024x1024, Steps 20
seed 1 |
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seed 6 |
seed 7 |
seed 8 |
seed 9 | |
seed 42 |
seed 324 |
seed 777 |
seed 1587494415 |
System info
| Code Block |
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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 |
...