Info
https://civitai.com/models/133005/juggernaut-xl
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Res: 832*1216 (For Portrait, but any SDXL Res will work fine) Sampler: DPM++ 2M SDE Steps: 30-40 CFG: 3-6 (less is a bit more realistic) |
Test 0 - Different seed variations
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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| CFG6, STEP20 | 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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Test 0.5 - 832x1216
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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| CFG6, STEP20 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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Test 1 - Bookshop
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
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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: 32| Size: 1024x1024| Seed: 2736029172| CFG scale: 4| App: SD.Next| Version: f71db69| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: juggernautXL_ragnarokBy| Model hash: dd08fa32f9
Time: 2m 53.49s | total 193.31 pipeline 167.19 callback 13.19 decode 6.27 preview 5.31 prompt 1.02 gc 0.29 | GPU 9440 MB 8% | RAM 22.77 GB 18%
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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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Test 5 Different samplers
Prompt: photo of a cute female teal robot, walking on water surface with rocks and mountains visible in background, during sunset, rich details
Parameters: Steps: 20| Size: 1024x1024| Seed: 159345170| CFG scale: 4| App: SD.Next| Version: 57fdc0a| Pipeline: StableDiffusionXLPipeline| Operations: txt2img| Model: tempestByVlad_baseV01| Model hash: 8bfad17222
Time: 1m 52.40s | total 128.89 pipeline 106.15 callback 8.31 preview 7.24 decode 6.20 prompt 0.68 gc 0.26 | GPU 9432 MB 8% | RAM 3.86 GB 3%
Sampler: Default
Sampler: DPM++
Sampler: DPM++ SDE
Sampler: DDPM
Sampler: Euler
Sampler: Euler a
Sampler: UniPC
Sampler: DPM++ 1S
slightly bent at the knee.
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Sampler: DPM SDE
Sampler: DDIM
Sampler: Heun
Sampler: DEIS
Sampler: PNDM
Sampler: DC Solver
Sampler: SA Solver
Sampler: LMSD
Sampler: LCM
Sampler: TCD
Sampler: TDD
Sampler: KDPM2
Sampler: KDPM2 a
Test 5 CFG 6 vs CFG 3.5
System info
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Mon Sep 29 13:03:03 2025 app: sdnext.git updated: 2025-10-03 hash: 48bcf6a76 url: https://github.com/liutyi/sdnext.git/tree/ipex arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-33-generic python: 3.12.3 Torch: 2.7.1+xpu device: Intel(R) Arc(TM) Graphics (1) ipex: 2.7.10+xpu ram: free:116.31 used:9.02 total:125.33 gpu: free:108.15 used:9.22 total:117.37 gpu-active: current:6.64 peak:7.28 gpu-allocated: current:6.64 peak:7.28 gpu-reserved: current:9.22 peak:9.22 gpu-inactive: current:0.26 peak:0.65 events: retries:0 oom:0 utilization: 0 xformers: diffusers: 0.36.0.dev0 transformers: 4.56.2 active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16 base: juggernautXL_ragnarokBy [dd08fa32f9] refiner: none vae: none te: none unet: none Backend: ipex Cross-attention: Scaled-Dot-Product |
Config
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{
"sd_model_checkpoint": "juggernautXL_ragnarokBy [dd08fa32f9]",
"theme_type": "Standard",
"diffusers_version": "b4297967a04cca6ac4493202c02d81c30d0f9ee8",
"sd_checkpoint_hash": "dd08fa32f98d05a2443ca1419e46df1575a0811f6e3b246d9dd47ff20f5eb66a",
"huggingface_token": "hf_xxx",
"samples_filename_pattern": "[date]-[seq]-[model_name]-[width]x[height]-Seed[seed]-CFG[cfg]-AG[pag]-STEP[steps]",
"diffusers_to_gpu": true,
"device_map": "gpu",
"diffusers_offload_mode": "none",
"diffusers_generator_device": "Unset",
"queue_history_retention_days": "3 days",
"model_modular_enable": true
} |
Model info
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| Module | Class | Device | Dtype | Quant | Params | Modules | Config |
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| vae | AutoencoderKL | xpu:0 | torch.bfloat16 | None | 83653863 | 243 | 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': 4, 'norm_num_groups': 32, 'sample_size': 1024, 'scaling_factor': 0.13025, 'shift_factor': None, 'latents_mean': None, 'latents_std': None, 'force_upcast': False, 'use_quant_conv': True, 'use_post_quant_conv': True, 'mid_block_add_attention': True, '_use_default_values': ['use_post_quant_conv', 'latents_std', 'use_quant_conv', 'shift_factor', 'mid_block_add_attention', 'latents_mean'], '_class_name': 'AutoencoderKL', '_diffusers_version': '0.20.0.dev0', '_name_or_path': '../sdxl-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": "float16", "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": "4.56.2", "vocab_size": 49408 } |
| text_encoder_2 | CLIPTextModelWithProjection | xpu:0 | torch.bfloat16 | None | 694659840 | 393 | CLIPTextConfig { "architectures": [ "CLIPTextModelWithProjection" ], "attention_dropout": 0.0, "bos_token_id": 0, "dropout": 0.0, "dtype": "float16", "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, "transformers_version": "4.56.2", "vocab_size": 49408 } |
| tokenizer | CLIPTokenizer | None | None | None | 0 | 0 | None |
| tokenizer_2 | CLIPTokenizer | None | None | None | 0 | 0 | None |
| unet | UNet2DConditionModel | xpu:0 | torch.bfloat16 | None | 2567463684 | 1930 | FrozenDict({'sample_size': 128, 'in_channels': 4, 'out_channels': 4, 'center_input_sample': False, 'flip_sin_to_cos': True, 'freq_shift': 0, 'down_block_types': ['DownBlock2D', 'CrossAttnDownBlock2D', 'CrossAttnDownBlock2D'], 'mid_block_type': 'UNetMidBlock2DCrossAttn', 'up_block_types': ['CrossAttnUpBlock2D', 'CrossAttnUpBlock2D', 'UpBlock2D'], 'only_cross_attention': False, 'block_out_channels': [320, 640, 1280], 'layers_per_block': 2, 'downsample_padding': 1, 'mid_block_scale_factor': 1, 'dropout': 0.0, 'act_fn': 'silu', 'norm_num_groups': 32, 'norm_eps': 1e-05, 'cross_attention_dim': 2048, 'transformer_layers_per_block': [1, 2, 10], 'reverse_transformer_layers_per_block': None, 'encoder_hid_dim': None, 'encoder_hid_dim_type': None, 'attention_head_dim': [5, 10, 20], 'num_attention_heads': None, 'dual_cross_attention': False, 'use_linear_projection': True, 'class_embed_type': None, 'addition_embed_type': 'text_time', 'addition_time_embed_dim': 256, 'num_class_embeds': None, 'upcast_attention': None, 'resnet_time_scale_shift': 'default', 'resnet_skip_time_act': False, 'resnet_out_scale_factor': 1.0, 'time_embedding_type': 'positional', 'time_embedding_dim': None, 'time_embedding_act_fn': None, 'timestep_post_act': None, 'time_cond_proj_dim': None, 'conv_in_kernel': 3, 'conv_out_kernel': 3, 'projection_class_embeddings_input_dim': 2816, 'attention_type': 'default', 'class_embeddings_concat': False, 'mid_block_only_cross_attention': None, 'cross_attention_norm': None, 'addition_embed_type_num_heads': 64, '_use_default_values': ['attention_type', 'dropout', 'reverse_transformer_layers_per_block'], '_class_name': 'UNet2DConditionModel', '_diffusers_version': '0.19.0.dev0'}) |
| scheduler | EulerDiscreteScheduler | None | None | None | 0 | 0 | FrozenDict({'num_train_timesteps': 1000, 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': 'scaled_linear', 'trained_betas': None, 'prediction_type': 'epsilon', 'interpolation_type': 'linear', 'use_karras_sigmas': False, 'use_exponential_sigmas': False, 'use_beta_sigmas': False, 'sigma_min': None, 'sigma_max': None, 'timestep_spacing': 'leading', 'timestep_type': 'discrete', 'steps_offset': 1, 'rescale_betas_zero_snr': False, 'final_sigmas_type': 'zero', '_use_default_values': ['final_sigmas_type', 'use_beta_sigmas', 'use_exponential_sigmas', 'sigma_min', 'rescale_betas_zero_snr', 'timestep_type', 'sigma_max'], '_class_name': 'EulerDiscreteScheduler', '_diffusers_version': '0.19.0.dev0', 'clip_sample': False, 'sample_max_value': 1.0, 'set_alpha_to_one': False, 'skip_prk_steps': True}) |
| image_encoder | NoneType | None | None | None | 0 | 0 | None |
| feature_extractor | NoneType | None | None | None | 0 | 0 | None |
| force_zeros_for_empty_prompt | bool | None | None | None | 0 | 0 | None |
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