DRAFT ARTICLE |
https://huggingface.co/tencent/SRPO
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
Parameters: Steps: 50| Size: 1024x1024| Seed: 1620085323| CFG scale: 6| App: SD.Next| Version: 82504e9| Pipeline: FluxPipeline| Operations: txt2img| Model: flux.1-dev-SRPO
Time: 27m 11.72s | total 1246.29 pipeline 1224.28 preview 7.57 decode 6.36 callback 3.69 prompt 2.02 te 2.01 gc 0.33 | GPU 34676 MB 29% | RAM 4.04 GB 3%
| CFG6, STEP 32 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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| legs and shoes |
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Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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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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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"
Parameters: Steps: 32| Size: 1600x400| Seed: 433989387| CFG scale: 3.5| App: SD.Next| Version: 4130c6c| Pipeline: FluxPipeline| Operations: txt2img| Model: flux.1-dev-SRPO
Time: 7m 56.22s | total 699.72 pipeline 473.19 callback 203.91 preview 15.51 decode 3.01 prompt 1.91 te 1.90 gc 0.28 | GPU 33968 MB 28% | RAM 3.94 GB 3%

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 dev"
Parameters: Steps: 32| Size: 1600x400| Seed: 4014230639| CFG scale: 8| App: SD.Next| Version: 4130c6c| Pipeline: FluxPipeline| Operations: txt2img| Model: flux.1-dev-SRPO
Time: 7m 57.51s | total 736.34 pipeline 474.42 callback 210.88 preview 43.84 decode 3.07 prompt 1.91 te 1.90 gc 0.30 | GPU 33968 MB 28% | RAM 3.94 GB 3%

Prompt: with analog noise and glitches, CivitAi cover 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.
Parameters: Steps: 32| Size: 1600x400| Seed: 2404111820| CFG scale: 3.5| App: SD.Next| Version: 4130c6c| Pipeline: FluxPipeline| Operations: txt2img| Model: flux.1-dev-SRPO
Time: 7m 59.44s | total 805.63 pipeline 475.91 callback 213.35 preview 105.11 prompt 3.73 te 3.72 decode 3.50 gc 0.29 | GPU 33936 MB 28% | RAM 4.02 GB 3%
Prompt: with analog noise and glitches, CivitAi cover 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 "SD.Next + Flux.1 Krea dev", upper right corner text "Stable Diffusion at home"
Parameters: Steps: 32| Size: 1600x400| Seed: 109351024| CFG scale: 3.5
Prompt: 80s cartoon style, CivitAi cover 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 suprised look back at the camera. paint brush is in the robot hand. Left bottom corner text "SD.Next + Flux.1 dev", uper right corner text "Stable Diffusion at home"
Parameters: Steps: 20| Size: 1600x400| Seed: 1620085323| CFG scale: 6
Prompt: 3d render style, CivitAi cover 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 suprised look back at the camera. paint brush is in the robot hand. Left bottom corner text "SD.Next + Flux.1 dev", uper right corner text "Stable Diffusion at home"
Parameters: Steps: 20| Size: 1600x400| Seed: 1620085323| CFG scale: 6
Prompt: Retro poster style, CivitAi cover 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 suprised look back at the camera. paint brush is in the robot hand. Left bottom corner text "SD.Next + Flux.1 dev", uper right corner text "Stable Diffusion at home"
Parameters: Steps: 20| Size: 1600x400| Seed: 1620085323| CFG scale: 6
Prompt: LEGO style, CivitAi cover 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 "SD.Next + Flux.1 dev", upper right corner text "Stable Diffusion at home"
Parameters: Steps: 20| Size: 1600x400| Seed: 1620085323| CFG scale: 6
Prompt: CivitAi cover 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 "SD.Next + Flux.1 dev", upper right corner text "Stable Diffusion at home"
Parameters: Steps: 20| Size: 1600x400| Seed: 1620085323| CFG scale: 6
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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 |
{
"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
} |
| 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 |