Info

https://huggingface.co/Photoroom/prx-1024-t2i-beta

Prompt: A delicate, golden origami boat rests serenely on the surface of calm, shallow water, its crisp folds catching the warm, golden light of either sunrise or sunset. The paper vessel, crafted with precision, glides effortlessly across the gentle ripples, its reflection mirrored perfectly in the still water below — a symmetrical, shimmering star-like shape that doubles the beauty of the scene. The background dissolves into a soft, dreamy blur of sky and distant greenery, with clouds painted in soft hues of blue and gold, enhancing the tranquil, almost meditative atmosphere. The scene evokes a sense of quiet journey, hope, and the gentle passage of time — a simple paper boat carrying a silent promise across the liquid mirror of the world.

Time: 4m 2.55s | total 247.57 pipeline 236.44 decode 6.09 callback 4.35 te 0.38 gc 0.28 | GPU 10152 MB 8% | RAM 18.47 GB 15%

Resolution: 1024 pixels
Architecture: PRX (MMDiT-like diffusion transformer variant) 
Latent backbone: Flux's VAE
Text encoder: T5-Gemma-2B-2B-UL2
Training stage: Supervised fine-tuning (SFT)

from diffusers.pipelines.prx import PRXPipeline

pipe = PRXPipeline.from_pretrained(
    "Photoroom/prx-1024-t2i-beta",
    torch_dtype=torch.bfloat16
).to("cuda")

prompt = "A front-facing portrait of a lion in the golden savanna at sunset"
image = pipe(prompt, num_inference_steps=28, guidance_scale=5.0).images[0]
image.save("lion.png")

Test 0 - Different seed variations

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.

CFG5, STEP28	Seed: 1620085323	Seed:1931701040	Seed:4075624134	Seed:2736029172
bookshop girl
hand and face
legs and shoes

impact of negative prompt

only positive prompt	+ negative	+ masterpiece + negative
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: 25\| Size: 1024x1024\| Seed: 4075624134\| CFG scale: 5\| App: SD.Next\| Version: c021928\| Pipeline: PRXPipeline\| Operations: txt2img\| Model: prx-1024-t2i-beta	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. Negative: bad quality, worst quality, worst detail, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, ambiguous form, watermark, cartoon, extra limbs Parameters: Steps: 25\| Size: 1024x1024\| Seed: 4075624134\| CFG scale: 5\| App: SD.Next\| Version: c021928\| Pipeline: PRXPipeline\| Operations: txt2img\| Model: prx-1024-t2i-beta	Prompt: masterpiece, best quality, 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. Negative: bad quality, worst quality, worst detail, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, ambiguous form, watermark, cartoon, extra limbs Parameters: Steps: 25\| Size: 1024x1024\| Seed: 4075624134\| CFG scale: 5\| App: SD.Next\| Version: c021928\| Pipeline: PRXPipeline\| Operations: txt2img\| Model: prx-1024-t2i-beta

Test 1 - Bookshop

original test prompt

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

Time: 4m 36.64s | total 282.33 pipeline 270.51 decode 6.11 callback 5.00 te 0.39 gc 0.30 | GPU 10152 MB 8% | RAM 18.46 GB 15%

	4	8	16	32	64
CFG1
CFG2
CFG3
CFG4
CFG5
CFG6
CFG7
CFG8

Test 2 - Face and hand *

*modified prompts

	8	16	25	50
CFG1
CFG2
CFG3
CFG4
CFG5
CFG6
CFG7
CFG8
CFG10

Test 3 - Legs

Prompt: masterpiece, best quality, 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: 2m 21.55s | total 144.65 pipeline 135.43 decode 6.10 callback 2.42 te 0.38 gc 0.29 | GPU 10152 MB 8% | RAM 18.51 GB 15%

	8	16	25	50
CFG1
CFG2
CFG3
CFG4
CFG5
CFG6
CFG8
CFG10

Test 4 - Other model Covers

Test 5 - Art collection

https://civitai.com/collections/10716337

Test 6 - Model own example prompts

System info

Sat Nov 15 10:36:54 2025
app: sdnext.git updated: 2025-11-14 hash: c02192870 url: https://github.com/liutyi/sdnext/tree/pytorch
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-35-generic 
python: 3.12.3 torch 2.9.1+xpu
device: Intel(R) Arc(TM) Graphics (1) ipex: 
ram: free:121.86 used:3.47 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/Photoroom/prx-1024-t2i-beta [318a05beb7] refiner: none vae: none te: none unet: none

Config

{
  "diffusers_version": "cd3bbe2910666880307b84729176203f5785ff7e",
  "diffusers_offload_mode": "none",
  "ui_request_timeout": 300000,
  "huggingface_token": "hf..FraU",
  "samples_filename_pattern": "[date]-[seq]-[model_name]-[width]x[height]-Seed[seed]-CFG[cfg]-AG[pag]-STEP[steps]",
  "diffusers_to_gpu": true,
  "device_map": "gpu",
  "civitai_token": "f1..65"
}

Model info

Photoroom/prx-1024-t2i-beta [318a05beb7]

Module	Class	Device	Dtype	Quant	Params	Modules	Config
transformer	PRXTransformer2DModel	xpu:0	torch.bfloat16	None	1170691648	303	FrozenDict({'in_channels': 16, 'patch_size': 2, 'context_in_dim': 2304, 'hidden_size': 1792, 'mlp_ratio': 3.5, 'num_heads': 28, 'depth': 16, 'axes_dim': [32, 32], 'theta': 10000, 'time_factor': 1000.0, 'time_max_period': 10000, '_name_or_path': 'Photoroom/prx-1024-t2i-beta'})
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': ['use_karras_sigmas', 'use_exponential_sigmas', 'max_image_seq_len', 'use_beta_sigmas', 'time_shift_type', 'shift_terminal', 'use_dynamic_shifting',
text_encoder	T5GemmaEncoder	xpu:0	torch.bfloat16	None	2614341888	448	T5GemmaConfig { "architectures": [ "T5GemmaEncoder" ], "attention_bias": false, "attention_dropout": 0.0, "attn_logit_softcapping": 50.0, "bos_token_id": 2, "classifier_dropout_rate": 0.0, "decoder": { "attention_bias": false, "attention_dropout": 0.0, "attn_logit_softcapping": 50.0, "cross_attention_hidden_size": 2304, "dropout_rate": 0.0, "final_logit_softcapping": 30.0, "head_dim": 256, "hidden_activation": "gelu_pytorch_tanh", "hidden_size": 2304, "initializer_range": 0.02, "intermediate_size": 9216, "is_decoder": true, "layer_types": [ "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention" ], "max_position_embeddings": 8192, "model_type": "t5_gemma_module", "num_attention_heads": 8, "num_hidden_layers": 26, "num_key_value_heads": 4, "query_pre_attn_scalar": 256, "rms_norm_eps": 1e-06, "rope_theta": 10000.0, "sliding_window": 4096, "use_cache": true, "vocab_size": 256000 }, "dropout_rate": 0.0, "dtype": "bfloat16", "encoder": { "attention_bias": false, "attention_dropout": 0.0, "attn_logit_softcapping": 50.0, "dropout_rate": 0.0, "final_logit_softcapping": 30.0, "head_dim": 256, "hidden_activation": "gelu_pytorch_tanh", "hidden_size": 2304, "initializer_range": 0.02, "intermediate_size": 9216, "layer_types": [ "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention" ], "max_position_embeddings": 8192, "model_type": "t5_gemma_module", "num_attention_heads": 8, "num_hidden_layers": 26, "num_key_value_heads": 4, "query_pre_attn_scalar": 256, "rms_norm_eps": 1e-06, "rope_theta": 10000.0, "sliding_window": 4096, "use_cache": true, "vocab_size": 256000 }, "eos_token_id": 1, "final_logit_softcapping": 30.0, "head_dim": 256, "hidden_activation": "gelu_pytorch_tanh", "hidden_size": 2304, "initializer_range": 0.02, "intermediate_size": 9216, "is_encoder_decoder": true, "layer_types": [ "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention" ], "max_position_embeddings": 8192, "model_type": "t5gemma", "num_attention_heads": 8, "num_hidden_layers": 26, "num_key_value_heads": 4, "pad_token_id": 0, "query_pre_attn_scalar": 256, "rms_norm_eps": 1e-06, "rope_theta": 10000.0, "sliding_window": 4096, "transformers_version": "4.57.1", "use_cache": true, "vocab_size": 256000 }
tokenizer	GemmaTokenizerFast	None	None	None	0	0	None
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': '0.36.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--Photoroom--prx-1024-t2i-beta/snapshots/318a05beb7d65d55616e8fc17b325055be0e4756/vae'})
default_sample_size	int	None	None	None	0	0	None

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Test 54 - PRX 1024 t2i beta