HiDream E1 image editor

Generate an edited image from an uploaded source and a written instruction using HiDream E1. The source supplies visual conditioning, and the instruction describes the requested transformation. The generated image is returned as a Pipe preview using the fixed HiDream E1 model, associated text encoders and VAE. For a first run, upload your image, replace the example instruction with the change you want, and keep 768 × 768 pixels, 28 steps, text guidance 5, image guidance 2 and regular guidance combination. Use positive width and height values divisible by 8. Center fitting crops the source to the chosen aspect ratio before resizing; disabled fitting retains the full image but can stretch it when aspect ratios differ. Resize method selects the interpolation used for this preprocessing. Text guidance and image guidance control separate conditioning contributions. In regular mode, text guidance scales the difference between instruction-conditioned and image-conditioned predictions, while image guidance scales the difference between image-conditioned and negative predictions. Nested mode changes how the two guidance values combine. The negative prompt describes unwanted content or qualities and supplies text to both the image-conditioned branch and the separate negative branch. Advanced controls include seed, steps, sampler, scheduler and denoise. Seed -1 selects a new random seed each run; use a fixed seed to compare settings with consistent initial sampling noise. Steps sets sampling iterations, sampler selects the algorithm, and scheduler sets the distribution of noise levels. Denoise selects the fraction of the noise schedule used. Sampling starts from an empty latent rather than the encoded source, so reducing denoise is not a conventional source-preservation strength control. This is a whole-image generative edit with no supplied editing mask and no guarantee that untouched details remain identical. Uploaded transparency is not preserved through the connected RGB image path.

Generate an edited image from an uploaded source and a written instruction using HiDream E1. The source supplies visual conditioning, and the instruction describes the requested transformation. The generated image is returned as a Pipe preview using the fixed HiDream E1 model, associated text encoders and VAE. For a first run, upload your image, replace the example instruction with the change you want, and keep 768 × 768 pixels, 28 steps, text guidance 5, image guidance 2 and regular guidance combination. Use positive width and height values divisible by 8. Center fitting crops the source to the chosen aspect ratio before resizing; disabled fitting retains the full image but can stretch it when aspect ratios differ. Resize method selects the interpolation used for this preprocessing. Text guidance and image guidance control separate conditioning contributions. In regular mode, text guidance scales the difference between instruction-conditioned and image-conditioned predictions, while image guidance scales the difference between image-conditioned and negative predictions. Nested mode changes how the two guidance values combine. The negative prompt describes unwanted content or qualities and supplies text to both the image-conditioned branch and the separate negative branch. Advanced controls include seed, steps, sampler, scheduler and denoise. Seed -1 selects a new random seed each run; use a fixed seed to compare settings with consistent initial sampling noise. Steps sets sampling iterations, sampler selects the algorithm, and scheduler sets the distribution of noise levels. Denoise selects the fraction of the noise schedule used. Sampling starts from an empty latent rather than the encoded source, so reducing denoise is not a conventional source-preservation strength control. This is a whole-image generative edit with no supplied editing mask and no guarantee that untouched details remain identical. Uploaded transparency is not preserved through the connected RGB image path.