Info

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

...

Code Block

    # 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: 2m 0.26s | total 148.30 pipeline 120.19 callback 18.66 te 7.46 vae 1.55 move 0.36 | GPU 52678 MB 41% | RAM 84.28 GB 67%

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: 5m 52.39s | total 359.75 pipeline 352.28 te 4.51 vae 1.45 callback 1.38 | GPU 59348 MB 46% | RAM 90.14 GB 72%

Test 0 - Different seed variations

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

...

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

...

2048px

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

Parameters: Steps: 8| Size: 2048x2048| Seed: 1620085323| CFG scale: 3.25|

...

bookshop girl

...

2048px

...

bookshop girl

...

Test 1 - Bookshop

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

Time: 54m 245m 52.69s 54s | total 3325355.52 98 pipeline 3264.59 vae 17.23 offload 15.34 onload 14.21 te 8.61 callback 5.39 | GPU 52616 MB 41% | RAM 98.26 GB 78%

...

CFG1

CFG2

CFG3

CFG4

CFG5

CFG6

CFG8

352.46 te 2.00 callback 1.37 | GPU 59348 MB 46% | RAM 90.19 GB 72%

Prompt: Create a close-up photograph of a woman'

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.

...

Time: 5m 52.51s | total 358.48 pipeline 352.44 te 4.53 callback 1.37 | GPU 59348 MB 46% | RAM 90.46 GB 72%

Prompt:

...

CFG3

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.

...

Time: 6m 5.18s | total 371.20 pipeline 365.10 te 4.52 callback 1.44 | GPU 59348 MB 46% | RAM 110.0 GB 88%

CFG3.25, STEP 8	Seed: 1620085323	Seed:1931701040	Seed:4075624134	Seed:2736029172
bookshop girl	Image Added	Image Added	Image Added	Image Added
hand and face	Image Added	Image Added	Image Added	Image Added
legs and shoes	Image Added	Image Added	Image Added	Image Added

Test 1 - Bookshop

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

	2	4	6	8	10
CFG3.25	Image Added	Image Added	Image Added	Image Added	Image Added
	12	14	16	18	32
	Image Added		Image Added	Image Added	Image Added

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.

Time: 4m 44.70s | total 378.10 pipeline 284.60 onload 41.82 te 21.00 vae 16.45 offload 13.42 callback 0.69 | GPU 51856 MB 40% | RAM 93.26 GB 74%

	2	4	8	12	16	32
CFG3.25	Image Added	Image Added	Image Added	Image Added	Image Added	Image Added

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.

	4	6	8	10	14	16	32
CFG3.25	Image Added	Image Added	Image Added	Image Added	Image Added	Image Added	Image Added

Test 4 - Other model Covers

512px

1024px

2048px

Image AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage Added

Test 5 - Art Prompts

Image AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage Added

System info

Code Block

Sat Oct 25 12:53:29 2025
app: sdnext.git updated: 2025-11-20 hash: 187943c3e 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:119.21 used:6.12 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-Distilled-Diffusers refiner: none vae: none te: none unet: none
Backend: ipex Pipeline: native Memory optimization: none Cross-attention: Scaled-Dot-Product

Config

Code Block

  "huggingface_token": "hf_..FraU",
  "diffusers_version": "cd3bbe2910666880307b84729176203f5785ff7e",
  "sd_model_checkpoint": "hunyuanvideo-community/HunyuanImage-2.1-Distilled-Diffusers",
  "sd_checkpoint_hash": null,
  "schedulers_shift": 4,
  "diffusers_offload_mode": "none",
  "diffusers_to_gpu": true,
  "device_map": "gpu",
  "show_progress_type": "Approximate",
  "ui_request_timeout": 300000

Model info

hunyuanvideo-community/HunyuanImage-2.1-Distilled-Diffusers [2effeb8511]

Module	Class	Device	Dtype	Quant	Params	Modules	Config
vae	AutoencoderKLHunyuanImage	xpu:0	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-Distilled-Diffusers/snapshots/2effeb8511aee5b2ed94984d30c630203404173b/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	17453334976	1406	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': True, 'text_embed_dim': 3584, 'text_embed_2_dim': 1472, 'rope_theta': 256.0, 'rope_axes_dim': [64, 64], 'use_meanflow

...

CFG3

Test 4 - Other model Covers

512px

1024px

2048px

System info

Code Block

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: Diffusers/hunyuanvideo-community/HunyuanImage-2.1-Diffusers [7e7b7a177d] refiner: none vae: none te: none unet: none
Backend: ipex Pipeline: native Memory optimization: none Cross-attention: Scaled-Dot-Product

Config

Code Block

  "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

hunyuanvideo-community/HunyuanImage-2.1-Diffusers [7e7b7a177d]

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': 'AdaptiveProjectedMixGuidanceHunyuanImageTransformer2DModel', '_diffusers_version': '0.36.0.dev0', '_name_or_path': 'hunyuanvideo-community/HunyuanImage-2.1-Distilled-Diffusers'})
ocr_guiderscheduler	AdaptiveProjectedMixGuidanceFlowMatchEulerDiscreteScheduler	None	None	None	0	0	FrozenDict({'guidance_scale': 3num_train_timesteps': 1000, 'shift': 4.0, 'use_dynamic_shifting': False, 'base_shift': 0.5, 'guidancemax_rescaleshift': 01.015, 'adaptivebase_projectedimage_guidanceseq_scalelen': 10.0256, 'adaptivemax_projectedimage_guidanceseq_momentumlen': -0.54096, 'adaptive_projected_guidance_rescaleinvert_sigmas': 10.0False, 'etashift_terminal': 0.0None, 'use_originalkarras_formulationsigmas': False, 'startuse_exponential_sigmas': 0.0False, 'stopuse_beta_sigmas': 1.0False, 'adaptivetime_projected_guidance_start_stepshift_type': 38'exponential', 'enabledstochastic_sampling': TrueFalse, '_class_name': 'AdaptiveProjectedMixGuidanceFlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.36.0.dev0'})
guider	NoneType	None	None	None	0	0	None
ocr_guider	NoneType	None	None	None	0	0	None

Page tree

Versions Compared

Old Version 2

New Version Current

Key

Info

1024 vs 2048

Test 0 - Different seed variations

1024px

2048px

2048px

Test 1 - Bookshop

Test 2 - Face and hand

Test 3 - Legs

Test 1 - Bookshop

Test 2 - Face and hand

Test 3 - Legs

Test 4 - Other model Covers

512px

1024px

2048px

Test 5 - Art Prompts

System info

Config

Model info

Test 4 - Other model Covers

512px

1024px

2048px

System info

Config

Model info

Page tree

Page History

Versions Compared

Old Version 2

New Version Current

Key

Info

1024 vs 2048

Test 0 - Different seed variations

1024px

2048px

2048px

Test 1 - Bookshop

Test 2 - Face and hand

Test 3 - Legs

Test 1 - Bookshop

Test 2 - Face and hand

Test 3 - Legs

Test 4 - Other model Covers

512px

1024px

2048px

Test 5 - Art Prompts

System info

Config

Model info

Test 4 - Other model Covers

512px

1024px

2048px

System info

Config

Model info