This is a simplified guide to an AI model called Hidream-E1.1 maintained by Prunaai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The hidream-e1.1 model represents an advanced image editing solution that builds upon the HiDream-I1 foundation. This implementation has been enhanced through prunaai's optimization engine, delivering improved performance while maintaining the core editing capabilities. The model supports dynamic resolution processing up to 1 million pixels and offers significant improvements in image quality and editing accuracy compared to its predecessor. Unlike the earlier hidream-e1 version, this iteration accepts direct natural language instructions without requiring complex prompt formatting, making it more accessible for practical applications.
Model inputs and outputs
The model processes natural language editing instructions alongside input images to produce modified versions that follow the specified changes. Users can control various aspects of the generation process including guidance scales, inference steps, and refinement strength to balance between editing precision and output quality.
Inputs
- image: Input image in URI format to be edited
- prompt: Natural language instruction describing the desired edit
- guidance_scale: Controls adherence to text instructions (0-10, default 2.5)
- image_guidance_scale: Controls influence of input image (0-10, default 1)
- num_inference_steps: Number of denoising steps (1-1000, default 28)
- refine_strength: Balance between editing and refinement stages (0-1, default 0.3)
- seed: Random seed for reproducible results (-1 for random)
- output_format: Image format (png, jpg, webp)
- speed_mode: Optimization level with three tiers available
Outputs
- Edited image: URI pointing to the processed image with applied modifications
Capabilities
This model excels at instruction-based...
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