Model Info and links

https://huggingface.co/circlestone-labs/Anima

DevOps > Test 81 - Anima > 2026-02-03-00029-Anima-sdnext-diffusers-1024x1024-Seed22-CFG4-AG0-STEP35.jpg

Test 0 - Seed and guidance

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.

CFG4.5, STEP50	Seed: 1620085323	Seed:1931701040	Seed:4075624134	Seed:2736029172
Bookshop girl
Face and hand
Legs and shoes

Test 1 - Bookstore

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

285H Time: 2m 26.69s | total 151.26 pipeline 146.65 preview 3.29 callback 0.98 | GPU 10654 MB 8% | RAM 22.38 GB 18%

	5	10	20	30	40	50	100
CFG1
CFG2
CFG3
CFG4
CFG5
CFG6
CFG8

Test 2 - Face and hands

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.

285H Time: 2m 40.12s | total 170.54 pipeline 160.07 preview 9.08 callback 1.06 | GPU 10654 MB 8% | RAM 22.48 GB 18%

	8	16	32	64
CFG4
CFG4.5
CFG4.75
CFG5
CFG6

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	32	64
CFG3
CFG4
CFG4.5
CFG5
CFG5.5
CFG6

Test 4 - Other model covers

Test 5 - Other prompts

Test 6 - Optional find the cover

Test 7 - Empty prompts

seed:1	seed:2	seed:3	seed:4	seed:5

seed:6	seed:7	seed:8	seed:9	seed:10

seed:21	seed:42	seed:68	seed:324	seed:2026

Test 8 - Compare to Cosmos Predict 2B

Cosmos 2B	Anima 2B	WAI Illustrious 1.7B
Prompt: masterpiece, best quality, score_7, safe. An anime girl wearing a black tank-top and denim shorts is standing outdoors. She's holding a rectangular sign out in front of her that reads "ANIMA" in solid white text. She's looking at the viewer with a smile. The background features some trees and blue sky with clouds. In the top left corner there is "2B" written in white drippy text. Negative: out of frame, cropped Parameters: Steps: 30\| Size: 1024x1024\| Seed: 3389420977\| CFG scale: 4\| App: SD.Next\| Version: 5b0f86b\| Pipeline: Cosmos2TextToImagePipeline\| Operations: txt2img\| Model: Cosmos-Predict2-2B-Text2Image Time: 2m 30.45s \| total 405.70 pipeline 150.40 preview 125.88 callback 124.10 vae 3.16 te 2.11 \| GPU 18516 MB 15% \| RAM 26.01 GB 21%
Prompt: mature female, solo, breasts, red hair, long hair, red eyes, large breasts, sunglasses, looking over eyewear, hair over one eye, sweater, looking at viewer, sleeveless, watch, adjusting eyewear, kirijou mitsuru, white sweater, bare shoulders, turtleneck, wristwatch, bangs, smile, tinted eyewear ,abstract background, foreshortening, masterpiece,best quality,amazing quality Negative: bad quality,worst quality,worst detail,sketch,censor Parameters: Steps: 35\| Size: 1024x1024\| Seed: 42\| CFG scale: 4\| App: SD.Next\| Version: 5b0f86b\| Pipeline: Cosmos2TextToImagePipeline\| Operations: txt2img\| Model: Cosmos-Predict2-2B-Text2Image Time: 2m 50.14s \| total 442.44 pipeline 170.10 callback 146.17 preview 123.99 te 2.11 \| GPU 18516 MB 15% \| RAM 25.93 GB 21%
Prompt: 1girl, hatsune miku, dress, long hair, jewelry, white dress, blue eyes, necklace, bubble, solo, underwater, hair between eyes, looking at viewer, bangs, blue hair, bow, reaching towards viewer, blue theme, air bubble, hair bow, collarbone, floating hair, frills, twintails, blurry foreground, frilled dress, off-shoulder dress, bare shoulders, blurry, very long hair ,masterpiece,best quality,amazing quality Negative: bad quality,worst quality,worst detail,sketch,censor Parameters: Steps: 35\| Size: 1024x1024\| Seed: 42\| CFG scale: 4\| App: SD.Next\| Version: 5b0f86b\| Pipeline: Cosmos2TextToImagePipeline\| Operations: txt2img\| Model: Cosmos-Predict2-2B-Text2Image Time: 2m 51.57s \| total 462.25 pipeline 171.52 preview 145.39 callback 143.14 te 2.10 \| GPU 18516 MB 15% \| RAM 25.92 GB 21%

System Info

Tue Feb  3 12:50:13 2026
Backend: ipex Pipeline: native Memory optimization: none Cross-attention: Scaled-Dot-Product
app: sdnext.git updated: 2026-02-02 hash: c7ecba67c tag:  tags:  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: 2.10.0+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:112.69 used:10.38 total:123.07
xformers: diffusers: 0.37.0.dev0 transformers: 4.57.5
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: CalamitousFelicitousness/Anima-sdnext-diffusers refiner: none vae: none te: none unet: none
ipex native none Scaled-Dot-Product

App config

Model metadata

CalamitousFelicitousness/Anima-sdnext-diffusers

Module	Class	Device	Dtype	Quant	Params	Modules	Config
text_encoder	Qwen3Model	xpu:0	torch.bfloat16	None	596049920	425	Qwen3Config { "architectures": [ "Qwen3Model" ], "attention_bias": false, "attention_dropout": 0.0, "dtype": "bfloat16", "head_dim": 128, "hidden_act": "silu", "hidden_size": 1024, "initializer_range": 0.02, "intermediate_size": 3072, "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": 32768, "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": 1000000.0, "sliding_window": null, "tie_word_embeddings": false, "transformers_version": "4.57.5", "use_cache": false, "use_sliding_window": false, "vocab_size": 151936 }
tokenizer	Qwen2TokenizerFast	None	None	None	0	0	None
t5_tokenizer	T5TokenizerFast	None	None	None	0	0	None
llm_adapter	AnimaLLMAdapter	xpu:0	torch.bfloat16	None	134663680	139	FrozenDict({'source_dim': 1024, 'target_dim': 1024, 'model_dim': 1024, 'num_layers': 6, 'num_heads': 16, 'mlp_ratio': 4.0, 'vocab_size': 32128, 'use_self_attn': True, '_class_name': 'AnimaLLMAdapter', '_diffusers_version': '0.37.0', '_name_or_path': 'CalamitousFelicitousness/Anima-sdnext-diffusers'})
transformer	CosmosTransformer3DModel	xpu:0	torch.bfloat16	None	1956405248	1138	FrozenDict({'in_channels': 16, 'out_channels': 16, 'num_attention_heads': 16, 'attention_head_dim': 128, 'num_layers': 28, 'mlp_ratio': 4.0, 'text_embed_dim': 1024, 'adaln_lora_dim': 256, 'max_size': [128, 240, 240], 'patch_size': [1, 2, 2], 'rope_scale': [1.0, 4.0, 4.0], 'concat_padding_mask': True, 'extra_pos_embed_type': None, 'use_crossattn_projection': False, 'crossattn_proj_in_channels': 1024, 'encoder_hidden_states_channels': 1024, '_use_default_values': ['use_crossattn_projection', 'crossattn_proj_in_channels', 'encoder_hidden_states_channels'], '_class_name': 'CosmosTransformer3DModel', '_diffusers_version': '0.37.0', '_name_or_path': 'CalamitousFelicitousness/Anima-sdnext-diffusers'})
vae	AutoencoderKLWan	xpu:0	torch.bfloat16	None	126892531	260	FrozenDict({'base_dim': 96, 'decoder_base_dim': None, 'z_dim': 16, 'dim_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_scales': [], 'temperal_downsample': [False, True, True], 'dropout': 0.0, 'latents_mean': [-0.7571, -0.7089, -0.9113, 0.1075, -0.1745, 0.9653, -0.1517, 1.5508, 0.4134, -0.0715, 0.5517, -0.3632, -0.1922, -0.9497, 0.2503, -0.2921], 'latents_std': [2.8184, 1.4541, 2.3275, 2.6558, 1.2196, 1.7708, 2.6052, 2.0743, 3.2687, 2.1526, 2.8652, 1.5579, 1.6382, 1.1253, 2.8251, 1.916], 'is_residual': False, 'in_channels': 3, 'out_channels': 3, 'patch_size': None, 'scale_factor_temporal': 4, 'scale_factor_spatial': 8, '_use_default_values': ['is_residual', 'decoder_base_dim', 'in_channels', 'patch_size', 'out_channels', 'scale_factor_spatial', 'scale_factor_temporal'], '_class_name': 'AutoencoderKLWan', '_diffusers_version': '0.33.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--CalamitousFelicitousness--Anima-sdnext-diffusers/snapshots/587e3941c37ace6234f9c0daa5c908408652870a/vae'})
scheduler	FlowMatchEulerDiscreteScheduler	None	None	None	0	0	FrozenDict({'num_train_timesteps': 1000, 'shift': 3.0, '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, '_use_default_values': ['time_shift_type', 'max_image_seq_len', 'shift_terminal', 'use_beta_sigmas', 'base_image_seq_len', 'use_exponential_sigmas', 'max_shift', 'use_dynamic_shifting', 'use_karras_sigmas', 'stochastic_sampling', 'base_shift', 'invert_sigmas'], '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.37.0'})