ddvinh1/image-editor-model 🔢🖼️📝 → 🖼️

▶️ 39 runs 📅 Sep 2025 ⚙️ Cog 0.16.3
image-editing image-to-image

About

Example Output

Output

Example output

Performance Metrics

43.80s Prediction Time
244.98s Total Time
All Input Parameters
{
  "seed": 3,
  "image": "https://replicate.delivery/pbxt/NghtYPUAcWrnShqLZTMbuwX6d9WQklR1kE0o2qoer7faFtne/test_1.jpg",
  "instruction": "replace all the bullets with shimmering, multi-colored butterflies.",
  "guidance_scale": 3,
  "negative_prompt": "low resolution, blur",
  "num_inference_steps": 28,
  "image_guidance_scale": 1.5
}
Input Parameters
seed Type: integerDefault: 3
Random seed
image (required) Type: string
Input image to edit
instruction (required) Type: string
Editing instruction
guidance_scale Type: numberDefault: 3Range: 1 - 10
Text guidance strength (1-10)
negative_prompt Type: stringDefault: low resolution, blur
Negative prompt
num_inference_steps Type: integerDefault: 28Range: 10 - 50
Denoising steps (10-50)
image_guidance_scale Type: numberDefault: 1.5Range: 1 - 10
Image preservation strength (1-10)
Output Schema

Output

Type: stringFormat: uri

Example Execution Logs
LlamaModel is using LlamaSdpaAttention, but `torch.nn.functional.scaled_dot_product_attention` does not support `output_attentions=True`. Falling back to the manual attention implementation, but specifying the manual implementation will be required from Transformers version v5.0.0 onwards. This warning can be removed using the argument `attn_implementation="eager"` when loading the model.
2025-09-10 10:05:56,399 - pipeline_hidream_image_editing - INFO - loading editing keys
2025-09-10 10:06:00,404 - pipeline_hidream_image_editing - INFO - finished loading editing keys
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2025-09-10 10:06:31,167 - pipeline_hidream_image_editing - INFO - finished loading refine keys
2025-09-10 10:06:31,168 - pipeline_hidream_image_editing - INFO - Refining start at step 19
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Version Details
Version ID
001795b186ac034be3b22363c23d96c3005009b5d055cb3f49e342827b4c72a5
Version Created
September 11, 2025
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