Open yadreny opened 1 year ago
You need to specify false for inpaint_full_res, which corresponds to "Whole picture" for "Inpaint area" in web ui.
You need to specify false for inpaint_full_res, which corresponds to "Whole picture" for "Inpaint area" in web ui.
Hello, where did you find the corresponding webui function for this parameter? Can you provide me with a document link? Thank you.
I have encountered the same issue as you. When using the img2img API without the mask parameter, the result is resized. However, when using the mask parameter, the result does not resize. Here are my request and response.
Request
{
"prompt": "string",
"negative_prompt": "EasyNegative",
"width": 512,
"height": 512,
"sampler_name": "DPM++ SDE Karras",
"denoising_strength": 0.75,
"resize_mode": 0,
"mask_blur": 0,
"inpainting_fill": 0,
"inpaint_full_res": true,
"inpainting_mask_invert": 0,
"inpaint_full_res_padding": 0,
"batch_size": 1,
"steps": 20,
"seed": -1,
"cfg_scale": 7,
"init_images": ["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"],
"mask": "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"
}
Response: The decoded base64 image resolution is 32 * 32, not 512 * 512.
{
"images": [
"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"
],
"parameters": {
"init_images": null,
"resize_mode": 0,
"denoising_strength": 0.75,
"image_cfg_scale": null,
"mask": null,
"mask_blur": 0,
"inpainting_fill": 0,
"inpaint_full_res": true,
"inpaint_full_res_padding": 0,
"inpainting_mask_invert": 0,
"initial_noise_multiplier": null,
"prompt": "string",
"styles": null,
"seed": -1,
"subseed": -1,
"subseed_strength": 0,
"seed_resize_from_h": -1,
"seed_resize_from_w": -1,
"sampler_name": "DPM++ SDE Karras",
"batch_size": 1,
"n_iter": 1,
"steps": 20,
"cfg_scale": 7,
"width": 512,
"height": 512,
"restore_faces": false,
"tiling": false,
"do_not_save_samples": false,
"do_not_save_grid": false,
"negative_prompt": "EasyNegative",
"eta": null,
"s_min_uncond": 0,
"s_churn": 0,
"s_tmax": null,
"s_tmin": 0,
"s_noise": 1,
"override_settings": null,
"override_settings_restore_afterwards": true,
"script_args": [],
"sampler_index": "Euler",
"include_init_images": false,
"script_name": null,
"send_images": true,
"save_images": false,
"alwayson_scripts": {}
},
"info": "{\"prompt\": \"string\", \"all_prompts\": [\"string\"], \"negative_prompt\": \"EasyNegative\", \"all_negative_prompts\": [\"EasyNegative\"], \"seed\": 4183637642, \"all_seeds\": [4183637642], \"subseed\": 1513884820, \"all_subseeds\": [1513884820], \"subseed_strength\": 0, \"width\": 512, \"height\": 512, \"sampler_name\": \"DPM++ SDE Karras\", \"cfg_scale\": 7.0, \"steps\": 20, \"batch_size\": 1, \"restore_faces\": false, \"face_restoration_model\": null, \"sd_model_hash\": \"59ffe2243a\", \"seed_resize_from_w\": -1, \"seed_resize_from_h\": -1, \"denoising_strength\": 0.75, \"extra_generation_params\": {\"Noise multiplier\": 0.5}, \"index_of_first_image\": 0, \"infotexts\": [\"string\\nNegative prompt: EasyNegative\\nSteps: 20, Sampler: DPM++ SDE Karras, CFG scale: 7.0, Seed: 4183637642, Size: 512x512, Model hash: 59ffe2243a, Model: ChilloutMix-ni-fp16, Seed resize from: -1x-1, Denoising strength: 0.75, Clip skip: 2, Noise multiplier: 0.5\"], \"styles\": [], \"job_timestamp\": \"20230626141615\", \"clip_skip\": 2, \"is_using_inpainting_conditioning\": false}"
}
You need to specify false for inpaint_full_res, which corresponds to "Whole picture" for "Inpaint area" in web ui.
Thanks. You've helped me a lot.
Is there an existing issue for this?
What happened?
When using a mask in a request, the resulting image has size different from the specified. In detail, the image with size 1280x760 has been downscaled to 1024x512. This problem occurs when using the API, everything works correctly through the form.
Steps to reproduce the problem
Just add a mask to request.
What should have happened?
It would be nice if the API will return image with specified size, like WebUI form do.
Commit where the problem happens
0cc0ee1bcb4c24a8c9715f66cede06601bfc00c8
What platforms do you use to access the UI ?
Windows
What browsers do you use to access the UI ?
Google Chrome
Command Line Arguments
List of extensions
sd-webui-controlnet
Console logs
Additional information
Here is ths request
{ "init_images":["img"], "mask":"img", "width":1280, "height":760, "denoising_strength":0,75, "resize_mode":1, "mask_blur":1, "inpainting_mask_invert":0, "inpainting_fill":0, "inpaint_full_res":true, "inpaint_full_res_padding":0, "batch_size":1, "n_iter":1, "steps":60, "cfg_scale":10, "prompt":"text", "negative_prompt":"text", "style":[], "seed":7777, "subseed":-1, "subseed_strength":0, "seed_resize_from_h":-1, "seed_resize_from_w":-1, "restore_faces":false, "sampler_index":"Euler a", "batch_count":1 }