
https://huggingface.co/CalamitousFelicitousness/hyphoria_qwen_v1.0-BF16-Diffusers
https://civitai.com/models/2120166/hyphoria-qwen
Base Generation Sampler: res_3s Scheduler: bong_tangent Steps: varies (8-12) CFG: always 1 Lightning 8-step strength: 0.5-0.55 Hires (Latent Upscale) Sampler: res_2s Scheduler: bong_tangent Steps: varies (6-12) CFG: always 1 Lightning 8-step strength: 0.4-0.5 |
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Reference image is https://civitai.com/images/114935442 by ecaj
Prompt: A photorealistic, high-key macro close-up captures a scene of elegant leisure, focusing sharply on a woman's right hand delicately resting against the side of a fine porcelain teacup. The skin is rendered with soft, lifelike texture and subtle subsurface scattering, illuminated by warm, dappled sunlight from the upper left that creates a glowing rim light along the fingers and highlights the natural curves of the hand. The nails are manicured in a glossy, pale pastel pink oval shape. On the ring finger, a gold ring with an intricate openwork filigree band and a central brilliant-cut diamond catches the light. The hand emerges from a delicate, sheer white lace sleeve cuff visible at the far right edge. The teacup, adorned with a subtle vintage floral pattern in soft pinks and greens with a gold rim, sits on a matching saucer alongside two French macarons—one soft strawberry pink, the other a creamy beige. The table is draped in a textured white lace cloth, where shadows and sunlight interplay to reveal the intricate weave. The background melts into a dreamy, creamy bokeh, hinting at a luxurious afternoon tea setting with a blurred gold tiered stand laden with more pastries and a soft arrangement of pink and white roses, all bathed in a golden, ethereal haze consistent with high-end lifestyle photography with a shallow depth of field.
Parameters: Steps: 10| Size: 512x512| Sampler: DPM2++ 2S FlowMatch| Seed: 790287152772005| CFG scale: 1.0| CFG true: 4| App: SD.Next| Version: a84ddc3| Pipeline: QwenImagePipeline| Operations: txt2img| Model: hyphoria_qwen_v1.0-BF16-Diffusers
285H Time: 54.54s | total 59.57 pipeline 54.52 preview 3.08 te 1.49 vae 0.44 | GPU 60894 MB 48% | RAM 61.98 GB 50%
| Steps | Euler FlowMatch (Time: 59.78s) | DPM2++ 2S FlowMatch (Time: 54.54s) | DPM2 FlowMatch (Time: 1m 0.88s) | DPM2++ 2M SDE FlowMatch (Time: 1m 12.42s ) |
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| 512x512 | 768x768 | 1024x1024 | 1328x1328 | 1536x1536 | 2048x2048 |
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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.
| AG4, STEP50 | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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| legs and shoes |
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
| 8 | 16 | 20 | 32 | 50 | |
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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.
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%
| 8 | 16 | 32 | 64 | |
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| CFG9 |
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%
| 8 | 16 | 32 | 64 | |
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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
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 |
Compare Art to Z Image turbo
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| Module | Class | Device | Dtype | Quant | Params | Modules | Config |
|---|---|---|---|---|---|---|---|
| vae | AutoencoderKLQwenImage | xpu:0 | torch.bfloat16 | None | 126892531 | 260 | FrozenDict({'base_dim': 96, 'z_dim': 16, 'dim_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_scales': [], 'temperal_downsample': [False, True, True], 'dropout': 0.0, 'input_channels': 3, '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], '_use_default_values': ['input_channels'], '_class_name': 'AutoencoderKLQwenImage', '_diffusers_version': '0.34.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--CalamitousFelicitousness--hyphoria_qwen_v1.0-BF16-Diffusers/snapshots/bc0f90041c79c3cbd1936143e574035335e0207b/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 | QwenImageTransformer2DModel | xpu:0 | torch.bfloat16 | None | 20430401088 | 2297 | FrozenDict({'patch_size': 2, 'in_channels': 64, 'out_channels': 16, 'num_layers': 60, 'attention_head_dim': 128, 'num_attention_heads': 24, 'joint_attention_dim': 3584, 'guidance_embeds': False, 'axes_dims_rope': [16, 56, 56], 'zero_cond_t': False, 'use_additional_t_cond': False, 'use_layer3d_rope': False, '_use_default_values': ['zero_cond_t', 'use_layer3d_rope', 'use_additional_t_cond'], '_class_name': 'QwenImageTransformer2DModel', '_diffusers_version': '0.35.2', 'pooled_projection_dim': 768, '_name_or_path': 'CalamitousFelicitousness/hyphoria_qwen_v1.0-BF16-Diffusers'}) |
| scheduler | FlowMatchDPMSolverMultistepScheduler | None | None | None | 0 | 0 | FrozenDict({'num_train_timesteps': 1000, 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': 'linear', 'trained_betas': None, 'solver_order': 2, 'algorithm_type': 'dpmsolver2', 'solver_type': 'midpoint', 'sigma_schedule': None, 'shift': 3, 'midpoint_ratio': 0.5, 's_noise': 1.0, 'use_noise_sampler': True, 'use_beta_sigmas': False, 'use_dynamic_shifting': False, 'base_shift': 0.5, 'max_shift': 1.15, 'base_image_seq_len': 256, 'max_image_seq_len': 4096, '_use_default_values': ['solver_type', 's_noise', 'midpoint_ratio', 'trained_betas', 'max_image_seq_len', 'base_image_seq_len']}) |