Model Info and links
Gated model: https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B (require login and API key)
import torch
from diffusers import Flux2KleinPipeline
device = "cuda"
dtype = torch.bfloat16
pipe = Flux2KleinPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-base-9B", torch_dtype=dtype)
pipe.enable_model_cpu_offload() # save some VRAM by offloading the model to CPU
prompt = "A cat holding a sign that says hello world"
image = pipe(
prompt,
height=1024,
width=1024,
guidance_scale=4.0,
num_inference_steps=50,
generator=torch.Generator(device=device).manual_seed(0)
).images[0]
image.save("flux-klein.png")
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.
| CFGx, STEPxx | Seed: 1620085323 | Seed:1931701040 | Seed:4075624134 | Seed:2736029172 |
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Test 1 - Bookstore
Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling
| 8 | 16 | 32 | 64 | |
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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.
| 8 | 16 | 32 | 64 | |
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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.
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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 |
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| seed:6 | seed:7 | seed:8 | seed:9 | seed:10 |
| seed:21 | seed:42 | seed:68 | seed:324 | seed:2026 |
System Info
App config
.
Model metadata
| Module | Class | Device | Dtype | Quant | Params | Modules | Config |
|---|---|---|---|---|---|---|---|
| vae | AutoencoderKLFlux2 | xpu:0 | torch.bfloat16 | None | 84046115 | 244 | 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': 32, 'norm_num_groups': 32, 'sample_size': 1024, 'force_upcast': True, 'use_quant_conv': True, 'use_post_quant_conv': True, 'mid_block_add_attention': True, 'batch_norm_eps': 0.0001, 'batch_norm_momentum': 0.1, 'patch_size': [2, 2], '_class_name': 'AutoencoderKLFlux2', '_diffusers_version': '0.37.0.dev0', '_name_or_path': 'models/Diffusers/models--black-forest-labs--FLUX.2-klein-base-9B/snapshots/17c3b160520b7dd44665dbf0b9ed9dd30c15cd06/vae'}) |
| text_encoder | Qwen3ForCausalLM | xpu:0 | torch.bfloat16 | None | 8190735360 | 547 | Qwen3Config { "architectures": [ "Qwen3ForCausalLM" ], "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": 4096, "initializer_range": 0.02, "intermediate_size": 12288, "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", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention" ], "max_position_embeddings": 40960, "max_window_layers": 36, "model_type": "qwen3", "num_attention_heads": 32, "num_hidden_layers": 36, "num_key_value_heads": 8, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 1000000, "sliding_window": null, "tie_word_embeddings": false, "transformers_version": "4.57.5", "use_cache": true, "use_sliding_window": false, "vocab_size": 151936 } |
| tokenizer | Qwen2TokenizerFast | None | None | None | 0 | 0 | None |
| 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, '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.37.0.dev0'}) |
| transformer | Flux2Transformer2DModel | xpu:0 | torch.bfloat16 | None | 9078581248 | 482 | FrozenDict({'patch_size': 1, 'in_channels': 128, 'out_channels': None, 'num_layers': 8, 'num_single_layers': 24, 'attention_head_dim': 128, 'num_attention_heads': 32, 'joint_attention_dim': 12288, 'timestep_guidance_channels': 256, 'mlp_ratio': 3.0, 'axes_dims_rope': [32, 32, 32, 32], 'rope_theta': 2000, 'eps': 1e-06, 'guidance_embeds': False, '_class_name': 'Flux2Transformer2DModel', '_diffusers_version': '0.37.0.dev0', '_name_or_path': 'black-forest-labs/FLUX.2-klein-base-9B'}) |
| is_distilled | bool | None | None | None | 0 | 0 | None |
