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Info

https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo

...

    num_inference_steps=28,
    guidance_scale=3.5,

Test 1 - Bookshop

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

...


2481632

CFG0
CFG1

768px






CFG2

512px






CFG3

512px






CFG5

512px







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.

...


2481632

CFG0

CFG1

768px






CFG2

512px






CFG3

512px






CFG4

512px






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.

...


2481632

CFG0
CFG1

768px






CFG0
CFG1

512px






CFG2

512px







System info


Code Block

Model

Module Class Device DType Params Modules Config
vae
AutoencoderKL
cpu
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': 1.5305, 'shift_factor': 0.0609, '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': '0.31.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--stabilityai--stable-diffusion-3.5-large/snapshots/ceddf0a7fdf2064ea28e2213e3b84e4afa170a0f/vae'})
text_encoder
CLIPTextModelWithProjection
cpu
torch.bfloat16
123650304
153
CLIPTextConfig { "architectures": [ "CLIPTextModelWithProjection" ], "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
CLIPTextModelWithProjection
cpu
torch.bfloat16
694659840
393
CLIPTextConfig { "architectures": [ "CLIPTextModelWithProjection" ], "attention_dropout": 0.0, "bos_token_id": 0, "dropout": 0.0, "eos_token_id": 2, "hidden_act": "gelu", "hidden_size": 1280, "initializer_factor": 1.0, "initializer_range": 0.02, "intermediate_size": 5120, "layer_norm_eps": 1e-05, "max_position_embeddings": 77, "model_type": "clip_text_model", "num_attention_heads": 20, "num_hidden_layers": 32, "pad_token_id": 1, "projection_dim": 1280, "torch_dtype": "bfloat16", "transformers_version": "4.53.2", "vocab_size": 49408 } 
text_encoder_3
T5EncoderModel
cpu
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
CLIPTokenizer
None
None
0
0
None
tokenizer_3
T5TokenizerFast
None
None
0
0
None
transformer
SD3Transformer2DModel
xpu:0
torch.bfloat16
8056627520
1456
FrozenDict({'sample_size': 128, 'patch_size': 2, 'in_channels': 16, 'num_layers': 38, 'attention_head_dim': 64, 'num_attention_heads': 38, 'joint_attention_dim': 4096, 'caption_projection_dim': 2432, 'pooled_projection_dim': 2048, 'out_channels': 16, 'pos_embed_max_size': 192, 'dual_attention_layers': (), 'qk_norm': 'rms_norm', '_use_default_values': ['dual_attention_layers'], '_class_name': 'SD3Transformer2DModel', '_diffusers_version': '0.31.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--stabilityai--stable-diffusion-3.5-large/snapshots/ceddf0a7fdf2064ea28e2213e3b84e4afa170a0f/transformer'})
scheduler
FlowMatchEulerDiscreteScheduler
None
None
0
0
FrozenDict({'num_train_timesteps': 1000, 'shift': 3.0, 'use_dynamic_shifting': False, '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, '_use_default_values': ['max_image_seq_len', 'base_image_seq_len', 'max_shift', 'shift_terminal', 'use_dynamic_shifting', 'use_karras_sigmas', 'use_beta_sigmas', 'invert_sigmas', 'use_exponential_sigmas', 'stochastic_sampling', 'time_shift_type', 'base_shift'], '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.29.0.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
_class_name
str
None
None
0
0
None
_diffusers_version
str
None
None
0
0
None