https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev
| CFG6, STEP 32 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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| bookshop girl |
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| hand and face |
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| legs and shoes |
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Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
| 4 | 8 | 16 | 20 | 32 | |
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CFG8 |
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.
| 8 | 16 | 20 | 32 | |
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CFG8 |
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: 32| Size: 1024x1024| Seed: 4075624134| CFG scale: 6| App: SD.Next| Version: 42706fb| Pipeline: FluxKontextPipeline| Operations: txt2img| Model: FLUX.1-Kontext-dev
Execution: Time: 12m 36.06s | total 1404.96 pipeline 749.36 preview 644.64 decode 6.67 prompt 3.99 gc 0.25 | GPU 35284 MB 27% | RAM 2.98 GB 2%
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CFG8 |
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"
Sat Aug 2 14:08:11 2025 app: sdnext.git updated: 2025-07-31 hash: 42706fb9 url: https://github.com/vladmandic/sdnext.git/tree/dev arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-27-generic python: 3.12.3 Torch 2.7.1+xpu device: Intel(R) Arc(TM) Graphics (1) ipex: ram: free:122.22 used:3.11 total:125.33 xformers: diffusers: 0.35.0.dev0 transformers: 4.53.2 active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16 base: Diffusers/black-forest-labs/FLUX.1-Kontext-dev [af58063aa4] refiner: none vae: none te: none unet: none Backend: ipex Pipeline: native Memory optimization: none Cross-attention: Scaled-Dot-Product |
{
"samples_filename_pattern": "[seq]-[date]-[model_name]-[height]x[width]-Seed[seed]-CFG[cfg]-STEP[steps]",
"diffusers_version": "c052791b5fe29ce8a308bf63dda97aa205b729be",
"diffusers_offload_mode": "none",
"diffusers_to_gpu": true,
"device_map": "gpu",
"ui_request_timeout": 120000,
"diffusers_vae_tile_size": 512,
"sd_model_checkpoint": "Diffusers/black-forest-labs/FLUX.1-Kontext-dev [af58063aa4]"
} |
Model: Diffusers/black-forest-labs/FLUX.1-Kontext-dev Type: f1 Class: FluxKontextPipeline Size: 0 bytes Modified: 2025-07-15 10:11:42 |
| Module | Class | Device | DType | Params | Modules | Config |
|---|---|---|---|---|---|---|
vae | AutoencoderKL | xpu:0 | torch.bfloat16 | 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': '0.34.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--black-forest-labs--FLUX.1-Kontext-dev/snapshots/af58063aa431f4d2bbc11ae46f57451d4416a170/vae'}) |
text_encoder | CLIPTextModel | xpu:0 | torch.bfloat16 | 123060480 | 152 | CLIPTextConfig { "architectures": [ "CLIPTextModel" ], "attention_dropout": 0.0, "bos_token_id": 0, "dropout": 0.0, "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, "torch_dtype": "bfloat16", "transformers_version": "4.53.2", "vocab_size": 49408 } |
text_encoder_2 | T5EncoderModel | xpu:0 | torch.bfloat16 | 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, "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "initializer_factor": 1.0, "is_encoder_decoder": true, "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, "torch_dtype": "bfloat16", "transformers_version": "4.53.2", "use_cache": true, "vocab_size": 32128 } |
tokenizer | CLIPTokenizer | None | None | 0 | 0 | None |
tokenizer_2 | T5TokenizerFast | None | None | 0 | 0 | None |
transformer | FluxTransformer2DModel | xpu:0 | torch.bfloat16 | 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': '0.34.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--black-forest-labs--FLUX.1-Kontext-dev/snapshots/af58063aa431f4d2bbc11ae46f57451d4416a170/transformer'}) |
scheduler | FlowMatchEulerDiscreteScheduler | 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': '0.34.0.dev0'}) |
image_encoder | NoneType | None | None | 0 | 0 | None |
feature_extractor | NoneType | None | None | 0 | 0 | None |
_name_or_path | str | None | None | 0 | 0 | None |
