Info
https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo
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num_inference_steps=28,
guidance_scale=3.5,Test
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Different seed variations
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
Parameters: Steps: 828| Size: 512x5121024x1024| Seed: 3462878332: 1620085323| CFG scale: 3.5| App: SD.Next| Version: 2548b20b56d508| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-largeprocessing | 17.9/7.6sTime: 1m 7.44s | total 94.06 pipeline 55.41 preview 17.62 move 9.00 prompt 8.40 decode 3.37 gc 0.47 | GPU 1100 MB 1% | RAM 28.51 GB 23%
Execution: Time: 25m 47.53s | total 1651.35 pipeline 1535.92 preview 90.80 decode 11.56 prompt 7.30 offload 4.78 move 0.63 gc 0.30 | GPU 13394 MB 10% | RAM 18.12 GB 14%
| CFG3.5, STEP 28 | Seed: 1620085323 | Seed: 1931701040 | Seed: 2736029172 | Seed: 4075624134 |
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Test 1 - Bookshop
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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Parameters: Steps: 8| Size: 768x768| Seed: 1461218801| App: SD.Next| Version: 2548b20| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large
Time: 1m 40.18s | total 120.67 pipeline 95.94 preview 20.44 decode 3.97 gc 0.53 post 0.27 | GPU 2040 MB 2% | RAM 28.57 GB 23%
| 8 (7 min) | 16 (15 min) | 20 (18 min) | 32 (20 min) | 50 (26 min) | |
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512pxTest 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: 32| Size: 1024x1024| Seed: 1620085323| CFG scale: 4| App: SD.Next| Version: ded5afc| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large
Time: 11m 51.44s | total 719.38 pipeline 706.57 callback 5.86 decode 4.84 prompt 1.78 gc 0.30 | GPU 45676 MB 36% | RAM 71.98 GB 57%
| NOV | 2 | 4 | 8 | 16 | 20 | 32 (11 minutes) | CFG050 | |
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CFG1 768px | CFG2 512px | CFG3 512px |
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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.
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Parameters: Steps: 50| Size: 1024x1024| Seed: 4075624134| CFG scale: 3| App: SD.Next| Version: ded5afc| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large
Time: 18m 35.12s | total 1124.50 pipeline 1110.25 callback 9.10 decode 4.83 gc 0.28 | GPU 45676 MB 36% | RAM 72.04 GB 57%
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System info
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Test 3.1 - With Negative Prompt
lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature
| Positive only | Negative added |
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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: 50| Size: 1024x1024| Seed: 4075624134| CFG scale: 3| App: SD.Next| Version: ded5afc| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large Time: 18m 35.12s | total 1124.50 pipeline 1110.25 callback 9.10 decode 4.83 gc 0.28 | GPU 45676 MB 36% | RAM 72.04 GB 57% | 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. Negative: lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature Parameters: Steps: 50| Size: 1024x1024| Seed: 4075624134| CFG scale: 3| App: SD.Next| Version: ded5afc| Pipeline: StableDiffusion3Pipeline| Operations: txt2img| Model: stable-diffusion-3.5-large Time: 18m 33.60s | total 1125.09 pipeline 1108.65 callback 9.09 decode 4.90 prompt 2.03 gc 0.37 | GPU 45676 MB 36% | RAM 72.07 GB 58% |
Test 4 - Other model covers
System info
Test Part 1
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Mon Aug 4 19:48:58 2025
app: sdnext.git updated: 2025-08-01 hash: b56d508a url: https://github.com/vladmandic/sdnext.git/tree/master
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:122.51 used:2.82 total:125.33
xformers: diffusers: 0.35.0.dev0 transformers: 4.54.1
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/stabilityai/stable-diffusion-3.5-large [ceddf0a7fd] refiner: none vae: none te: none unet: none
Backend: ipex Cross-attention: Scaled-Dot-Product |
Test Part 2-3
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Wed Nov 26 09:51:01 2025
app: sdnext.git updated: 2025-11-22 hash: ded5afc5d url: https://github.com/liutyi/sdnext/tree/pytorch
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-36-generic
python: 3.12.3 Torch: 2.9.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex:
ram: free:120.52 used:4.81 total:125.33
xformers: diffusers: 0.36.0.dev0 transformers: 4.57.1
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: stabilityai/stable-diffusion-3.5-large refiner: none vae: none te: none unet: none
Backend: ipex Pipeline: native Cross-attention: Scaled-Dot-Product |
Model
| Code Block |
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Model: Diffusers/stabilityai/stable-diffusion-3.5-large
Type: sd3
Class: StableDiffusion3Pipeline
Size: 0 bytes
Modified: 2025-08-04 11:51:22 |
Model
Module Class Device DType Params Modules Config
vae | AutoencoderKL | cpu | torch.bfloat16 | 8381968383819683 | 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 | CLIPTextModelWithProjectioncpu | xpu:0 | torch.bfloat16 | 123650304123650304 | 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": "4.5354.21", "vocab_size": 49408 } |
text_encoder_2 | CLIPTextModelWithProjectioncpu | xpu:0 | torch.bfloat16 | 694659840694659840 | 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": "4.5354.21", "vocab_size": 49408 } |
text_encoder_3 | T5EncoderModelcpu | xpu:0 | torch.bfloat164762310656 | 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": truefalse, "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": "4.5354.21", "use_cache": truefalse, "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.bfloat168056627520 | 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': ['maxbase_image_seq_len', 'base_image_seq_leninvert_sigmas', 'use_exponential_sigmas', 'maxuse_beta_shiftsigmas', 'shiftstochastic_terminalsampling', 'usemax_image_dynamicseq_shiftinglen', 'usemax_karras_sigmasshift', 'usetime_betashift_sigmastype', 'invertshift_sigmasterminal', 'use_exponentialkarras_sigmas', 'stochasticbase_samplingshift', 'timeuse_shift_type', 'base_shiftdynamic_shifting'], '_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 |
...