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Info

https://huggingface.co/AIDC-AI/Ovis-Image-7B

python ovis_image/test.py \
    --model_path AIDC-AI/Ovis-Image-7B/ovis_image.safetensors \
    --vae_path AIDC-AI/Ovis-Image-7B/ae.safetensors \
    --ovis_path AIDC-AI/Ovis-Image-7B/Ovis2.5-2B \
    --image_size 1024 \
    --denoising_steps 50 \
    --cfg_scale 5.0 \
    --prompt "A creative 3D artistic render where the text \"OVIS-IMAGE\" is written in a bold, expressive handwritten brush style using thick, wet oil paint. The paint is a mix of vibrant rainbow colors (red, blue, yellow) swirling together like toothpaste or impasto art. You can see the ridges of the brush bristles and the glossy, wet texture of the paint. The background is a clean artist's canvas. Dynamic lighting creates soft shadows behind the floating paint strokes. Colorful, expressive, tactile texture, 4k detail." \

Test 0 - Different seed variations

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

Parameters: Steps: 50| Size: 1024x1024| Seed: 1620085323| CFG scale: 5| App: SD.Next| Version: d7eb90e| Pipeline: OvisImagePipeline| Operations: txt2img| Model: Ovis-Image-7B

285H Time: 9m 19.20s | total 561.76 pipeline 556.42 decode 2.72 callback 2.18 gc 0.38 | GPU 21078 MB 17% | RAM 30.89 GB 25%

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.


CFG4, STEP50Seed: 1620085323Seed:1931701040Seed:4075624134Seed: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

Parameters: Steps: 50| Size: 1024x1024| Seed: 2736029172| CFG scale: 5| App: SD.Next| Version: d7eb90e| Pipeline: OvisImagePipeline| Operations: txt2img| Model: Ovis-Image-7B

285H Time: 9m 16.08s | total 558.72 pipeline 554.54 callback 2.35 decode 1.52 gc 0.29 | GPU 21078 MB 17% | RAM 31.24 GB 25%



816203250
CFG1

CFG2

CFG3

CFG4

CFG5

CFG6

CFG7

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.

Parameters: Steps: 16| Size: 1024x1024| Seed: 4075624134| CFG scale: 5| App: SD.Next| Version: d7eb90e| Pipeline: OvisImagePipeline| Operations: txt2img| Model: Ovis-Image-7B

285H Time: 2m 58.98s | total 180.04 pipeline 177.45 decode 1.51 callback 0.78 gc 0.28 | GPU 21078 MB 17% | RAM 31.23 GB 25%



8163264
CFG1

CFG3

CFG5

CFG7

CFG9

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.

Parameters: Steps: 32| Size: 1024x1024| Seed: 1931701040| CFG scale: 5| App: SD.Next| Version: d7eb90e| Pipeline: OvisImagePipeline| Operations: txt2img| Model: Ovis-Image-7B

285H Time: 5m 56.50s | total 358.27 pipeline 354.97 decode 1.52 callback 1.48 gc 0.29 | GPU 21078 MB 17% | RAM 31.29 GB 25%



8163264
CFG1

CFG3

CFG5

CFG7

CFG11

Test 4 CivitAi profile cover generation


Prompt: image with 5 canvases and one android robot painting on the 3rd canvas. first two is done with some futuristic images, last two is blank. robot is surprised look back at the camera. paint brush is in the robot hand. Left bottom corner text "Flux.2 dev"

Parameters: Steps: 32| Size: 1600x400| Seed: 4014230639| CFG scale: 8


Prompt: with analog noise and glitches, CivitAi cover image with 5 canvases and one android robot painting on the 3rd canvas. first two is done with some futuristic images, last two is blank. robot is surprised look back at the camera. paint brush is in the robot hand.

Parameters: Steps: 32| Size: 1600x400| Seed: 2404111820| CFG scale: 3.5


Prompt: CivitAi cover image with 5 canvases and one android robot painting on the 3rd canvas. first two is done with some futuristic images, last two is blank. robot is surprised look back at the camera. paint brush is in the robot hand. Left bottom corner text "SD.Next + Flux.2 Dev", upper right corner text "Stable Diffusion at home"

Parameters: Steps: 50| Size: 1600x400| Seed: 978455805| CFG scale: 4


Prompt: LEGO style, CivitAi cover image with 5 canvases and one android robot painting on the 3rd canvas. first two is done with some futuristic images, last two is blank. robot is surprised look back at the camera. paint brush is in the robot hand. Left bottom corner text "SD.Next + Flux.2 Dev", upper right corner text "Stable Diffusion at home"

Parameters: Steps: 50| Size: 1600x400| Seed: 1179249187| CFG scale: 4


Test 5 - Empty prompts


1024x1024, Steps 50

seed 1

seed 2

seed 3

seed 4

seed 5

seed 6

seed 7

seed 8

seed 9

seed 10

seed 21

seed 38

seed 42

 

seed 68

seed 2025

Test 6 - Other Models cover

Test 7 - Art Prompts


System info

Sat Dec 27 16:49:13 2025
app: sdnext.git updated: 2025-12-26 hash: d7eb90eb8 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 Torch: 2.9.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:114.21 used:8.86 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: Diffusers/AIDC-AI/Ovis-Image-7B [ac8fb1056c] refiner: none vae: none te: none unet: none
ipex native none Scaled-Dot-Product


Config

{
  "sd_model_checkpoint": "Diffusers/AIDC-AI/Ovis-Image-7B [ac8fb1056c]",
  "diffusers_offload_mode": "none",
  "huggingface_token": "hf_..FraU",
  "diffusers_version": "f6b6a7181eb44f0120b29cd897c129275f366c2a",
  "sd_checkpoint_hash": null,
  "model_qwen_layers": 6
}


Model info

AIDC-AI/Ovis-Image-7B [ac8fb1056c]
ModuleClassDeviceDtypeQuantParamsModulesConfig
vaeAutoencoderKLxpu:0torch.bfloat16None83819683241

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--AIDC-AI--Ovis-Image-7B/snapshots/ac8fb1056c6df0b22901ddcabc965336eb9bdc41/vae'})

text_encoderQwen3Modelxpu:0torch.bfloat16None1720574976425

Qwen3Config { "_attn_implementation_autoset": true, "architectures": [ "Qwen3Model" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "bfloat16", "eos_token_id": 151645, "head_dim": 128, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 6144, "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": 40960, "max_window_layers": 28, "model_type": "qwen3", "num_attention_heads": 16, "num_hidden_layers": 28, "num_key_value_heads": 8, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 1000000, "sliding_window": null, "tie_word_embeddings": true, "transformers_version": "4.57.3", "use_cache": true, "use_sliding_window": false, "vocab_size": 151936 }

tokenizerQwen2TokenizerFastNoneNoneNone00

None

transformerOvisImageTransformer2DModelxpu:0torch.bfloat16None7370449728635

FrozenDict({'patch_size': 1, 'in_channels': 64, 'out_channels': None, 'num_layers': 6, 'num_single_layers': 27, 'attention_head_dim': 128, 'num_attention_heads': 24, 'joint_attention_dim': 2048, 'axes_dims_rope': [16, 56, 56], '_class_name': 'OvisImageTransformer2DModel', '_diffusers_version': '0.36.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--AIDC-AI--Ovis-Image-7B/snapshots/ac8fb1056c6df0b22901ddcabc965336eb9bdc41/transformer'})

schedulerFlowMatchEulerDiscreteSchedulerNoneNoneNone00

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': ['invert_sigmas', 'use_exponential_sigmas', 'use_karras_sigmas', 'time_shift_type', 'shift_terminal', 'stochastic_sampling', 'use_beta_sigmas'], '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.30.0.dev0'})



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