Info

https://huggingface.co/tencent/HunyuanImage-2.1

https://github.com/Tencent-Hunyuan/HunyuanImage-2.1/tree/main

    # Examples of supported resolutions and aspect ratios for HunyuanImage-2.1:
    # 16:9  -> width=2560, height=1536
    # 4:3   -> width=2304, height=1792
    # 1:1   -> width=2048, height=2048
    # 3:4   -> width=1792, height=2304
    # 9:16  -> width=1536, height=2560
    # Please use one of the above width/height pairs for best results.
    width=2048,
    height=2048,
    use_reprompt=False,  # Enable prompt enhancement (which may result in higher GPU memory usage)
    use_refiner=True,   # Enable refiner model
    # For the distilled model, use 8 steps for faster inference.
    # For the non-distilled model, use 50 steps for better quality.
    num_inference_steps=8 if "distilled" in model_name else 50, 
    guidance_scale=3.25 if "distilled" in model_name else 3.5,
    shift=4 if "distilled" in model_name else 5,
    seed=649151,

1024 vs 2048

1024

2048

Prompt: A cute, cartoon-style anthropomorphic penguin plush toy with fluffy fur, standing in a painting studio, wearing a red knitted scarf and a red beret with the word “Hunyuan Image” on it, holding a paintbrush with a focused expression as it paints an oil painting of the Mona Lisa, rendered in a photorealistic photographic style. Number 17B is handwritten over the image in the top left corner.

Time: 23m 2.80s | total 1507.64 pipeline 1382.77 callback 117.19 te 6.66 vae 0.99 | GPU 52508 MB 41% | RAM 62.13 GB 50%

DevOps > Test 48 - Hunyuan Image 2.1 > 2025-10-26-00001-HunyuanImage-2.1-Diffusers-2048x2048-Seed32-CFG3.5-AG0-STEP50.jpg

Prompt:

A cute, cartoon-style anthropomorphic penguin plush toy with fluffy fur, standing in a painting studio, wearing a red knitted scarf and a red beret with the word “Hunyuan Image” on it, holding a paintbrush with a focused expression as it paints an oil painting of the Mona Lisa, rendered in a photorealistic photographic style. Number 17B is handwritten over the image in the top left corner.

Time: 66m 58.09s | total 4316.31 pipeline 4017.98 callback 285.59 te 9.64 vae 2.63 move 0.37 | GPU 58322 MB 45% | RAM 70.51 GB 56%

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.

1024px

CFG3.5, STEP 50

Seed: 1620085323

Seed:1931701040

Seed:4075624134

Seed:2736029172

bookshop girl

1024px

hand and face

legs and shoes

2048px

CFG3.5, STEP 50

Seed: 1620085323

Seed:1931701040

Seed:4075624134

Seed: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

	4	8	16	32	64
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.

	8	16	20	32
CFG1
CFG2
CFG3
CFG3.5
CFG4
CFG5
CFG8

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.

	8	16	20	32
CFG1
CFG2
CFG3
CFG3.5
CFG4
CFG5
CFG8

Test 4 - Other model Covers

1024px

System info

Sat Oct 25 12:53:29 2025
app: sdnext.git updated: 2025-10-24 hash: 88ac83839 url: https://github.com/liutyi/sdnext.git/tree/pytorch
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-33-generic
python: 3.12.3 python: 3.12.3 Torch: 2.9.0+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:119.7 used:5.63 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: hunyuanvideo-community/HunyuanImage-2.1-Diffusers refiner: none vae: none te: none unet: none
Backend: ipex Pipeline: native Memory optimization: none Cross-attention: Scaled-Dot-Product

Config

  "huggingface_token": "hf_..FraU",
  "diffusers_version": "7536f647e4144c7acaf9e140893ff7edb85bf9a3",
  "sd_model_checkpoint": "hunyuanvideo-community/HunyuanImage-2.1-Diffusers",
  "sd_checkpoint_hash": null,
  "diffusers_to_gpu": true,
  "device_map": "gpu",
  "model_wan_stage": "combined",
  "diffusers_offload_mode": "none",
  "ui_request_timeout": 300000,
  "show_progress_type": "Simple"

Model info

Diffusers/lodestones/Chroma1-HD [ca9e916ceb]

Module	Class	Device	Dtype	Quant	Params	Modules	Config
vae	AutoencoderKLHunyuanImage	cpu	torch.bfloat16	None	405575491	255	FrozenDict({'in_channels': 3, 'out_channels': 3, 'latent_channels': 64, 'block_out_channels': [128, 256, 512, 512, 1024, 1024], 'layers_per_block': 2, 'spatial_compression_ratio': 32, 'sample_size': 384, 'scaling_factor': 0.75289, 'downsample_match_channel': True, 'upsample_match_channel': True, '_class_name': 'AutoencoderKLHunyuanImage', '_diffusers_version': '0.36.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--hunyuanvideo-community--HunyuanImage-2.1-Diffusers/snapshots/7e7b7a177de58591aeaffca0929f4765003d7ced/vae'})
text_encoder	Qwen2_5_VLForConditionalGeneration	xpu:0	torch.bfloat16	None	8292166656	763	Qwen2_5_VLConfig { "architectures": [ "Qwen2_5_VLForConditionalGeneration" ], "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "bfloat16", "eos_token_id": 151645, "hidden_act": "silu", "hidden_size": 3584, "initializer_range": 0.02, "intermediate_size": 18944, "max_position_embeddings": 128000, "max_window_layers": 28, "model_type": "qwen2_5_vl", "num_attention_heads": 28, "num_hidden_layers": 28, "num_key_value_heads": 4, "rms_norm_eps": 1e-06, "rope_scaling": { "mrope_section": [ 16, 24, 24 ], "rope_type": "default", "type": "default" }, "rope_theta": 1000000.0, "sliding_window": 32768, "text_config": { "_name_or_path": "hunyuanvideo-community/HunyuanImage-2.1-Diffusers", "architectures": [ "Qwen2_5_VLForConditionalGeneration" ], "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "bfloat16", "eos_token_id": 151645, "hidden_act": "silu", "hidden_size": 3584, "image_token_id": 151655, "initializer_range": 0.02, "intermediate_size": 18944, "layer_types": [ "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention" ], "max_position_embeddings": 128000, "max_window_layers": 28, "model_type": "qwen2_5_vl_text", "num_attention_heads": 28, "num_hidden_layers": 28, "num_key_value_heads": 4, "rms_norm_eps": 1e-06, "rope_scaling": { "mrope_section": [ 16, 24, 24 ], "rope_type": "default", "type": "default" }, "rope_theta": 1000000.0, "sliding_window": null, "use_cache": true, "use_sliding_window": false, "video_token_id": 151656, "vision_end_token_id": 151653, "vision_start_token_id": 151652, "vision_token_id": 151654, "vocab_size": 152064 }, "tie_word_embeddings": false, "transformers_version": "4.57.1", "use_cache": true, "use_sliding_window": false, "vision_config": { "depth": 32, "dtype": "bfloat16", "fullatt_block_indexes": [ 7, 15, 23, 31 ], "hidden_act": "silu", "hidden_size": 1280, "in_channels": 3, "in_chans": 3, "initializer_range": 0.02, "intermediate_size": 3420, "model_type": "qwen2_5_vl", "num_heads": 16, "out_hidden_size": 3584, "patch_size": 14, "spatial_merge_size": 2, "spatial_patch_size": 14, "temporal_patch_size": 2, "tokens_per_second": 2, "window_size": 112 }, "vision_token_id": 151654, "vocab_size": 152064 }
tokenizer	Qwen2Tokenizer	None	None	None	0	0	None
text_encoder_2	T5EncoderModel	xpu:0	torch.bfloat16	None	219314944	235	T5Config { "architectures": [ "T5EncoderModel" ], "classifier_dropout": 0.0, "d_ff": 3584, "d_kv": 64, "d_model": 1472, "decoder_start_token_id": 0, "dense_act_fn": "gelu_new", "dropout_rate": 0.1, "dtype": "bfloat16", "eos_token_id": 1, "feed_forward_proj": "gated-gelu", "gradient_checkpointing": false, "initializer_factor": 1.0, "is_encoder_decoder": false, "is_gated_act": true, "layer_norm_epsilon": 1e-06, "model_type": "t5", "num_decoder_layers": 4, "num_heads": 6, "num_layers": 12, "pad_token_id": 0, "relative_attention_max_distance": 128, "relative_attention_num_buckets": 32, "tie_word_embeddings": false, "tokenizer_class": "ByT5Tokenizer", "transformers_version": "4.57.1", "use_cache": false, "vocab_size": 1510 }
tokenizer_2	ByT5Tokenizer	None	None	None	0	0	None
transformer	HunyuanImageTransformer2DModel	xpu:0	torch.bfloat16	None	17425795520	1397	FrozenDict({'in_channels': 64, 'out_channels': 64, 'num_attention_heads': 28, 'attention_head_dim': 128, 'num_layers': 20, 'num_single_layers': 40, 'num_refiner_layers': 2, 'mlp_ratio': 4.0, 'patch_size': [1, 1], 'qk_norm': 'rms_norm', 'guidance_embeds': False, 'text_embed_dim': 3584, 'text_embed_2_dim': 1472, 'rope_theta': 256.0, 'rope_axes_dim': [64, 64], 'use_meanflow': False, '_use_default_values': ['use_meanflow'], '_class_name': 'HunyuanImageTransformer2DModel', '_diffusers_version': '0.36.0.dev0', '_name_or_path': 'hunyuanvideo-community/HunyuanImage-2.1-Diffusers'})
scheduler	FlowMatchEulerDiscreteScheduler	None	None	None	0	0	FrozenDict({'num_train_timesteps': 1000, 'shift': 5.0, '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, '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.36.0.dev0'})
guider	AdaptiveProjectedMixGuidance	None	None	None	0	0	FrozenDict({'guidance_scale': 3.5, 'guidance_rescale': 0.0, 'adaptive_projected_guidance_scale': 10.0, 'adaptive_projected_guidance_momentum': -0.5, 'adaptive_projected_guidance_rescale': 10.0, 'eta': 0.0, 'use_original_formulation': False, 'start': 0.0, 'stop': 1.0, 'adaptive_projected_guidance_start_step': 5, 'enabled': True, '_class_name': 'AdaptiveProjectedMixGuidance', '_diffusers_version': '0.36.0.dev0'})
ocr_guider	AdaptiveProjectedMixGuidance	None	None	None	0	0	FrozenDict({'guidance_scale': 3.5, 'guidance_rescale': 0.0, 'adaptive_projected_guidance_scale': 10.0, 'adaptive_projected_guidance_momentum': -0.5, 'adaptive_projected_guidance_rescale': 10.0, 'eta': 0.0, 'use_original_formulation': False, 'start': 0.0, 'stop': 1.0, 'adaptive_projected_guidance_start_step': 38, 'enabled': True, '_class_name': 'AdaptiveProjectedMixGuidance', '_diffusers_version': '0.36.0.dev0'})