jichengdu/flux-pulid 🔢📝❓🖼️ → 🖼️
About
PuLID-FLUX-v0.9.0

Example Output
Prompt:
"portrait, color, cinematic"
Output

Performance Metrics
12.10s
Prediction Time
234.42s
Total Time
All Input Parameters
{ "width": 896, "height": 1152, "prompt": "portrait, color, cinematic", "true_cfg": 1, "id_weight": 1, "num_steps": 20, "start_step": 0, "num_outputs": 1, "output_format": "webp", "guidance_scale": 4, "output_quality": 80, "main_face_image": "https://replicate.delivery/pbxt/Me8PvHwdoSXGlm8jtoxY2yHT254b6dV9EzWMLp29RjlGqT5E/43.jpg", "negative_prompt": "bad quality, worst quality, text, signature, watermark, extra limbs, low resolution, partially rendered objects, deformed or partially rendered eyes, deformed, deformed eyeballs, cross-eyed, blurry", "max_sequence_length": 128 }
Input Parameters
- seed
- Set a random seed for generation (leave blank or -1 for random)
- width
- Set the width of the generated image (256-1536 pixels)
- height
- Set the height of the generated image (256-1536 pixels)
- prompt
- Enter a text prompt to guide image generation
- true_cfg
- Set the Classifier-Free Guidance (CFG) scale. 1.0 uses standard CFG, while values >1.0 enable True CFG for more precise control over generation. Higher values increase adherence to the prompt at the cost of image quality.
- id_weight
- Set the weight of the ID image influence (0.0-3.0)
- num_steps
- Set the number of denoising steps (1-20)
- start_step
- Set the timestep to start inserting ID (0-4 recommended, 0 for highest fidelity, 4 for more editability)
- num_outputs
- Set the number of images to generate (1-4)
- output_format
- Choose the format of the output image
- guidance_scale
- Set the guidance scale for text prompt influence (1.0-10.0)
- output_quality
- Set the quality of the output image for jpg and webp (1-100)
- main_face_image (required)
- Upload an ID image for face generation
- negative_prompt
- Enter a negative prompt to specify what to avoid in the image
- max_sequence_length
- Set the max sequence length for prompt (T5), smaller is faster (128-512)
Output Schema
Output
Example Execution Logs
Using seeds: [2602907503] Generating 'portrait, color, cinematic' with seeds [2602907503] Denoising time: 8.68 seconds Decoding time: 0.37 seconds Total generate_image time: 11.73 seconds Image 1 generated with seed: 2602907503 Total prediction time: 11.89 seconds
Version Details
- Version ID
ca0b96aa9f0d0a0a7962a727377806215df25a517865e5f6949f24a26c24d2a6
- Version Created
- March 12, 2025