krunalmangroliya/uno-1 ❓🔢📝🖼️ → 🖼️
About
A Universal Customization Method for Both Single and Multi-Subject Conditioning

Example Output
Prompt:
"A clock on the beach is under a red sun umbrella"
Output

Performance Metrics
9.13s
Prediction Time
95.16s
Total Time
All Input Parameters
{ "pe": "d", "seed": -1, "width": 1024, "height": 1024, "prompt": "A clock on the beach is under a red sun umbrella", "guidance": 4, "ref_size": -1, "num_steps": 25, "image_ref1": "https://replicate.delivery/pbxt/NCb15nyRqfCimVEH73VrewPTL1Ia5WyALer4neVhRANKxu7r/AT3A2359_36200f09-6b21-4f08-b2aa-607348ffbefb.webp" }
Input Parameters
- pe
- Positional encoding type.
- seed
- Seed for random number generation. Use -1 for a random seed.
- width
- Width of the generated image.
- height
- Height of the generated image.
- prompt (required)
- Text prompt for image generation.
- guidance
- Guidance scale. Higher values adhere more closely to the prompt.
- ref_size
- Reference image size for preprocessing. Use -1 for default (512 for 1 ref, 320 for multiple).
- num_steps
- Number of diffusion steps.
- image_ref1
- Reference image 1 (optional).
- image_ref2
- Reference image 2 (optional).
- image_ref3
- Reference image 3 (optional).
- image_ref4
- Reference image 4 (optional).
Output Schema
Output
Example Execution Logs
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Version Details
- Version ID
0f94dddce7963de83aea4c589ce10f052d9eba42b85aaea937d5cd1e35c52171
- Version Created
- June 17, 2025