Image AddedImage Added

Info

https://github.com/meituan-longcat/LongCat-Image

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

Parameters: Steps: 32| Size: 1024x1024| Seed:1931701040| CFG scale: 4| App: SD.Next| Version: e7bd067| Pipeline: LongCatImagePipeline| Operations: txt2img| Model: LongCat-Image

285H Time: 16m 59.25s | total 1019.55 pipeline 1017.69 decode 1.53 gc 0.29 | GPU 31792 MB 25% | RAM 49.0 GB 40%

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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.

Test 3 - Legs

Prompt: 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.

Test Test 4 - Empty prompts

1024x1024, Steps 50

Test 5 - Other Models cover

Prompts are in Test 42 - All models cover image

Image AddedImage AddedImage AddedImage Added

Test 6 - 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 Added

Test 7 - Finding the Cover 

small mirror

Image Removed

System info

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Image AddedImage AddedImage Added

mirror wall graffity

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

neon sign

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

System info

Fri Dec 19 06:59:12 2025
app: sdnext.git updated: 2025-12-16 hash: c53ebcac5 url: https://github.com/liutyi/sdnext/tree/pytorch
arch: x86_64 cpu: x86_64 system: Linux release: 6.17.0-8-generic
python: 3.12.3 PyTorch 2.9.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:118.03 used:5.05 total:123.07
xformers: diffusers: 0.36.0.dev0 transformers: 4.57.3
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: meituan-longcat/LongCat-Image refiner: none vae: none te: none unet: none
ipex native none Scaled-Dot-Product

Config

{
  "sd_model_checkpoint": "meituan-longcat/LongCat-Image",
  "diffusers_offload_mode": "none",
  "huggingface_token": "hf_..FraU",
  "diffusers_version": "a748a839add5fe9f45a66e45dd93d8db0b45ce0f",
  "sd_checkpoint_hash": null,
  "queue_paused": true
}

Model info

meituan-longcat/LongCat-Image

Config

{

}

...

Module
Class
Device
Dtype
Quant
Params
Modules
Config
vae
AutoencoderKL
xpu:0
torch.bfloat16
None
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': 0.3611, 'shift_factor': 0.1159, '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': '0.30.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--meituan-longcat--LongCat-Image/snapshots/d2ea50b79a930074c37b9b97ce45e3b2ea8cf4d8/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": "4.57.3", "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
transformer
LongCatImageTransformer2DModel
xpu:0
torch.bfloat16
None
6270668864
677
FrozenDict({'patch_size': 1, 'in_channels': 64, 'num_layers': 10, 'num_single_layers': 20, 'attention_head_dim': 128, 'num_attention_heads': 24, 'joint_attention_dim': 3584, 'pooled_projection_dim': 3584, 'axes_dims_rope': [16, 56, 56], '_use_default_values': ['axes_dims_rope'], '_class_name': 'LongCatImageTransformer2DModel', '_diffusers_version': '0.30.0.dev0', 'guidance_embeds': False, '_name_or_path': 'meituan-longcat/LongCat-Image'})
scheduler
FlowMatchEulerDiscreteScheduler
None
None
None
0
0
FrozenDict({'num_train_timesteps': 1000, 'shift': 3.0, 'use_dynamic_shifting': True, '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': ['shift_terminal', 'stochastic_sampling', 'time_shift_type', 'use_exponential_sigmas', 'use_karras_sigmas', 'use_beta_sigmas', 'invert_sigmas'], '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.30.0.dev0'})
text_processor
Qwen2VLProcessor
None
None
None
0
0
None