Info

Prompt: Cowboy holding a pole of road sign with text "Flux.2 Dev". text "32B" is handwritten on a corner of the sign. Golden Gate bridge on the background.

Parameters: Steps: 50| Size: 1024x1024| Seed: 2934815806| CFG scale: 4| App: SD.Next| Version: 6ea881b| Pipeline: Flux2Pipeline| Operations: txt2img| Model: FLUX.2-dev

285H Time: 24m 10.03s | total 1466.58 pipeline 1443.48 gc 9.87 callback 8.24 decode 2.28 post 1.50 init 1.34 vae 0.91 prepare 0.44 | GPU 111078 MB 88% | RAM 113.52 GB 92%

https://huggingface.co/black-forest-labs/FLUX.2-dev

https://docs.bfl.ai/guides/prompting_guide_flux2

Hex ColorsBrand work, precise matchingcolor #FF5733 or hex #FF5733
Camera ReferencesPhotorealismshot on [camera], [lens], [settings]
Style ErasPeriod-specific looks80s vintage, 2000s digicam
Multi-ReferenceComposite images[pro]: 8, [flex]: 10, [dev]: ~6
SeedReproducible resultsseed: 42
Guidance [flex]Prompt adherenceguidance: 4.5 (1.5-10)
Steps [flex]Quality vs speedsteps: 50 (16-50)
Aspect RatiosUse case optimization1:1, 16:9, 9:16, 4:3, 21:9
prompt = "Realistic macro photograph of a hermit crab using a soda can as its shell, partially emerging from the can, captured with sharp detail and natural colors, on a sunlit beach with soft shadows and a shallow depth of field, with blurred ocean waves in the background. The can has the text `BFL Diffusers` on it and it has a color gradient that start with #FF5733 at the top and transitions to #33FF57 at the bottom."

image = pipe(
    prompt_embeds=remote_text_encoder(prompt),
    #image=load_image("https://huggingface.co/spaces/zerogpu-aoti/FLUX.1-Kontext-Dev-fp8-dynamic/resolve/main/cat.png") #optional image input
    generator=torch.Generator(device=device).manual_seed(42),
    num_inference_steps=50, #28 steps can be a good trade-off
    guidance_scale=4,
).images[0]

Test 0 - Different seed variations

Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling

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.

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.


CFG4, STEP50Seed: 1620085323Seed:1931701040Seed:4075624134Seed:2736029172
bookshop girl


hand and face

legs and shoes


Test 1 - Bookshop

Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling

Parameters: Steps: 50| Size: 1024x1024| Seed: 1620085323| CFG scale: 4| App: SD.Next| Version: 7644432| Pipeline: Flux2Pipeline| Operations: txt2img| Model: FLUX.2-dev

Time: 23m 18.46s | total 1414.43 pipeline 1392.03 gc 9.53 callback 7.91 decode 2.23 post 1.45 init 1.35 vae 0.94 prepare 0.44 | GPU 111078 MB 88% | RAM 108.82 GB 88%



48163250
CFG1

CFG2

CFG3

CFG4

CFG5

CFG6

CFG8

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: 20| Size: 1024x1024| Seed: 1931701040| CFG scale: 4| App: SD.Next| Version: 7644432| Pipeline: Flux2Pipeline| Operations: txt2img| Model: FLUX.2-dev

285H Time: 9m 29.98s | total 578.81 pipeline 565.66 gc 7.02 callback 3.23 decode 1.43 post 0.88 init 0.85 vae 0.62 prepare 0.29 | GPU 118690 MB 94% | RAM 115.96 GB 94%


816203250
CFG1

CFG2

CFG3

CFG4

CFG5

CFG6

CFG7

Test 3 - Legs

Prompt: 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: 10| App: SD.Next| Version: 6a4994d| Pipeline: Flux2Pipeline| Operations: txt2img| Model: FLUX.2-dev-SDNQ-uint4-svd-r32

285H Time: 22m 13.21s | total 1360.17 pipeline 1333.18 onload 7.85 offload 7.40 callback 6.99 vae 4.71 | GPU 22796 MB 36% | RAM 40.32 GB 65%



8163264
CFG2

CFG4

CFG6

CFG8

CFG10

Test 4 CivitAi profile cover generation

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.2 dev"

Parameters: Steps: 32| Size: 1600x400| Seed: 4014230639| CFG scale: 8

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

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.2 Dev", upper right corner text "Stable Diffusion at home"

Parameters: Steps: 50| Size: 1600x400| Seed: 978455805| CFG scale: 4

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.2 Dev", upper right corner text "Stable Diffusion at home"

Parameters: Steps: 50| Size: 1600x400| Seed: 1179249187| CFG scale: 4


Test 5 - Empty prompts


1024x1024, Steps 50

seed 1

seed 2

seed 3

seed 4

seed 5

seed 6

seed 7

seed 8

seed 9

seed 10

seed 21

seed 38

seed 42

 

sweed 68

seed 2025

Test 6 - Other Models cover

+ random seed


Test 7 - Art Prompts

System info

Mon Dec  8 14:39:24 2025
app: sdnext.git updated: 2025-12-06 hash: 764443213 url: https://github.com/liutyi/sdnext/tree/pytorch
arch: x86_64 cpu: x86_64 system: Linux release: 6.17.0-7-generic
python: 3.12.3 Torch: 2.9.1+xpu 
device: Intel(R) Arc(TM) Graphics (1)
 
ram: free:118.76 used:4.31 total:123.07
 
xformers: diffusers: 0.36.0.dev0 transformers: 4.57.1
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/black-forest-labs/FLUX.2-dev [6aab690f83] refiner: none vae: none te: none unet: none
Backend: ipex Pipeline: native Cross-attention: Scaled-Dot-Product


Config

{
  "diffusers_version": "a1f36ee3ef4ae1bf98bd260e539197259aa981c1",
  "sd_model_checkpoint": "Diffusers/black-forest-labs/FLUX.2-dev [6aab690f83]",
  "diffusers_offload_mode": "none",
  "ui_request_timeout": 300000,
  "huggingface_token": "hf_t..FraU",
  "sd_checkpoint_hash": null,
  "model_wan_stage": "combined"
}


Model info

Diffusers/black-forest-labs/FLUX.2-dev [6aab690f83]
ModuleClassDeviceDtypeQuantParamsModulesConfig
vaeAutoencoderKLFlux2xpu:0torch.bfloat16None84046115244

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': 32, 'norm_num_groups': 32, 'sample_size': 1024, 'force_upcast': True, 'use_quant_conv': True, 'use_post_quant_conv': True, 'mid_block_add_attention': True, 'batch_norm_eps': 0.0001, 'batch_norm_momentum': 0.1, 'patch_size': [2, 2], '_class_name': 'AutoencoderKLFlux2', '_diffusers_version': '0.36.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--black-forest-labs--FLUX.2-dev/snapshots/6aab690f8379b70adc89edfa6bb99b3537ba52a3/vae'})

text_encoderMistral3ForConditionalGenerationxpu:0torch.bfloat16None24011361280853

Mistral3Config { "architectures": [ "Mistral3ForConditionalGeneration" ], "dtype": "bfloat16", "image_token_index": 10, "model_type": "mistral3", "multimodal_projector_bias": false, "projector_hidden_act": "gelu", "spatial_merge_size": 2, "text_config": { "attention_dropout": 0.0, "dtype": "bfloat16", "head_dim": 128, "hidden_act": "silu", "hidden_size": 5120, "initializer_range": 0.02, "intermediate_size": 32768, "max_position_embeddings": 131072, "model_type": "mistral", "num_attention_heads": 32, "num_hidden_layers": 40, "num_key_value_heads": 8, "rms_norm_eps": 1e-05, "rope_theta": 1000000000.0, "sliding_window": null, "use_cache": true, "vocab_size": 131072 }, "transformers_version": "4.57.1", "vision_config": { "attention_dropout": 0.0, "dtype": "bfloat16", "head_dim": 64, "hidden_act": "silu", "hidden_size": 1024, "image_size": 1540, "initializer_range": 0.02, "intermediate_size": 4096, "model_type": "pixtral", "num_attention_heads": 16, "num_channels": 3, "num_hidden_layers": 24, "patch_size": 14, "rope_theta": 10000.0 }, "vision_feature_layer": -1 }

tokenizerPixtralProcessorNoneNoneNone00

None

schedulerFlowMatchEulerDiscreteSchedulerNoneNoneNone00

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'})

transformerFlux2Transformer2DModelxpu:0torch.bfloat16None32223281152702

FrozenDict({'patch_size': 1, 'in_channels': 128, 'out_channels': None, 'num_layers': 8, 'num_single_layers': 48, 'attention_head_dim': 128, 'num_attention_heads': 48, 'joint_attention_dim': 15360, 'timestep_guidance_channels': 256, 'mlp_ratio': 3.0, 'axes_dims_rope': [32, 32, 32, 32], 'rope_theta': 2000, 'eps': 1e-06, '_class_name': 'Flux2Transformer2DModel', '_diffusers_version': '0.36.0.dev0', '_name_or_path': 'black-forest-labs/FLUX.2-dev'})