acherry
commented
8 months ago Are you using img2img at the default 75% denoising strength? If so, setting it somewhere around 0.25 may replace less of your input image.
Open bgrmwbys opened 8 months ago
acherry
commented
8 months ago Are you using img2img at the default 75% denoising strength? If so, setting it somewhere around 0.25 may replace less of your input image.
Checklist
What happened?
Seems like img2img does not take the image I uploaded and just generates whet I prompted. For example a picture of an astronaut on a Llama is the picture while the prompt is add flowers.
Steps to reproduce the problem
What should have happened?
It should have added flowers in the background of the exisiting photo
What browsers do you use to access the UI ?
Google Chrome
Sysinfo
{ "Platform": "Windows-10-10.0.22621-SP0", "Python": "3.10.6", "Version": "v1.7.0", "Commit": "cf2772fab0af5573da775e7437e6acdca424f26e", "Script path": "C:\Users\user\Downloads\sd.webui\webui", "Data path": "C:\Users\user\Downloads\sd.webui\webui", "Extensions dir": "C:\Users\user\Downloads\sd.webui\webui\extensions", "Checksum": "5eaba2e0599f50d2be4671f4db2849df158c7d761168d3e01afe49c35d0897d8", "Commandline": [ "launch.py" ], "Torch env info": { "torch_version": "2.0.1+cu118", "is_debug_build": "False", "cuda_compiled_version": "11.8", "gcc_version": null, "clang_version": null, "cmake_version": null, "os": "Microsoft Windows 11 Pro", "libc_version": "N/A", "python_version": "3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] (64-bit runtime)", "python_platform": "Windows-10-10.0.22621-SP0", "is_cuda_available": "True", "cuda_runtime_version": null, "cuda_module_loading": "LAZY", "nvidia_driver_version": "537.42", "nvidia_gpu_models": "GPU 0: NVIDIA GeForce RTX 3080", "cudnn_version": null, "pip_version": "pip3", "pip_packages": [ "numpy==1.23.5", "open-clip-torch==2.20.0", "pytorch-lightning==1.9.4", "torch==2.0.1+cu118", "torchdiffeq==0.2.3", "torchmetrics==1.2.1", "torchsde==0.2.6", "torchvision==0.15.2+cu118" ], "conda_packages": null, "hip_compiled_version": "N/A", "hip_runtime_version": "N/A", "miopen_runtime_version": "N/A", "caching_allocator_config": "", "is_xnnpack_available": "True", "cpu_info": [ "Architecture=9", "CurrentClockSpeed=3801", "DeviceID=CPU0", "Family=198", "L2CacheSize=2048", "L2CacheSpeed=", "Manufacturer=GenuineIntel", "MaxClockSpeed=3801", "Name=Intel(R) Core(TM) i7-10700K CPU @ 3.80GHz", "ProcessorType=3", "Revision=" ] }, "Exceptions": [ { "exception": "A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.", "traceback": [ [ "C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 57, f", "res = list(func(*args, kwargs))" ], [ "C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 36, f", "res = func(*args, kwargs)" ], [ "C:\Users\user\Downloads\sd.webui\webui\modules\txt2img.py, line 55, txt2img", "processed = processing.process_images(p)" ], [ "C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 734, process_images", "res = process_images_inner(p)" ], [ "C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 868, process_images_inner", "samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)" ], [ "C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 1142, sample", "samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))" ], [ "C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235, sample", "samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))" ], [ "C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_common.py, line 261, launch_sampling", "return func()" ], [ "C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235,",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, *extra_params_kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(args, kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\repositories\k-diffusion\k_diffusion\sampling.py, line 594, sample_dpmpp_2m",
"denoised = model(x, sigmas[i] * s_in, extra_args)"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(*args, *kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_cfg_denoiser.py, line 201, forward",
"devices.test_for_nans(x_out, \"unet\")"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\devices.py, line 150, test_for_nans",
"raise NansException(message)"
]
]
},
{
"exception": "A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.",
"traceback": [
[
"C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 57, f",
"res = list(func(args, kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 36, f",
"res = func(*args, kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\txt2img.py, line 55, txt2img",
"processed = processing.process_images(p)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 734, process_images",
"res = process_images_inner(p)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 868, process_images_inner",
"samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 1142, sample",
"samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235, sample",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_common.py, line 261, launch_sampling",
"return func()"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235, ",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(*args, *kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\repositories\k-diffusion\k_diffusion\sampling.py, line 594, sample_dpmpp_2m",
"denoised = model(x, sigmas[i] s_in, extra_args)"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(*args, kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_cfg_denoiser.py, line 201, forward",
"devices.test_for_nans(x_out, \"unet\")"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\devices.py, line 150, test_for_nans",
"raise NansException(message)"
]
]
},
{
"exception": "A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.",
"traceback": [
[
"C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 57, f",
"res = list(func(*args, *kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 36, f",
"res = func(args, kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\txt2img.py, line 55, txt2img",
"processed = processing.process_images(p)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 734, process_images",
"res = process_images_inner(p)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 868, process_images_inner",
"samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 1142, sample",
"samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235, sample",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_common.py, line 261, launch_sampling",
"return func()"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235, ",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(*args, kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\repositories\k-diffusion\k_diffusion\sampling.py, line 594, sample_dpmpp_2m",
"denoised = model(x, sigmas[i] * s_in, *extra_args)"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(args, kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_cfg_denoiser.py, line 201, forward",
"devices.test_for_nans(x_out, \"unet\")"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\devices.py, line 150, test_for_nans",
"raise NansException(message)"
]
]
},
{
"exception": "A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.",
"traceback": [
[
"C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 57, f",
"res = list(func(*args, kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 36, f",
"res = func(*args, kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\txt2img.py, line 55, txt2img",
"processed = processing.process_images(p)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 734, process_images",
"res = process_images_inner(p)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 868, process_images_inner",
"samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 1142, sample",
"samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235, sample",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_common.py, line 261, launch_sampling",
"return func()"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235, ",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, *extra_params_kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(args, kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\repositories\k-diffusion\k_diffusion\sampling.py, line 594, sample_dpmpp_2m",
"denoised = model(x, sigmas[i] * s_in, extra_args)"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(*args, *kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_cfg_denoiser.py, line 201, forward",
"devices.test_for_nans(x_out, \"unet\")"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\devices.py, line 150, test_for_nans",
"raise NansException(message)"
]
]
},
{
"exception": "A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.",
"traceback": [
[
"C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 57, f",
"res = list(func(args, kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\call_queue.py, line 36, f",
"res = func(*args, kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\txt2img.py, line 55, txt2img",
"processed = processing.process_images(p)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 734, process_images",
"res = process_images_inner(p)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 868, process_images_inner",
"samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\processing.py, line 1142, sample",
"samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235, sample",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_common.py, line 261, launch_sampling",
"return func()"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_kdiffusion.py, line 235, ",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(*args, *kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\repositories\k-diffusion\k_diffusion\sampling.py, line 594, sample_dpmpp_2m",
"denoised = model(x, sigmas[i] s_in, extra_args)"
],
[
"C:\Users\user\Downloads\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(*args, *kwargs)"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\sd_samplers_cfg_denoiser.py, line 201, forward",
"devices.test_for_nans(x_out, \"unet\")"
],
[
"C:\Users\user\Downloads\sd.webui\webui\modules\devices.py, line 150, test_for_nans",
"raise NansException(message)"
]
]
}
],
"CPU": {
"model": "Intel64 Family 6 Model 165 Stepping 5, GenuineIntel",
"count logical": 16,
"count physical": 8
},
"RAM": {
"total": "32GB",
"used": "18GB",
"free": "14GB"
},
"Extensions": [],
"Inactive extensions": [],
"Environment": {
"GRADIO_ANALYTICS_ENABLED": "False"
},
"Config": {
"samples_save": true,
"samples_format": "png",
"samples_filename_pattern": "",
"save_images_add_number": true,
"save_images_replace_action": "Replace",
"grid_save": true,
"grid_format": "png",
"grid_extended_filename": false,
"grid_only_if_multiple": true,
"grid_prevent_empty_spots": false,
"grid_zip_filename_pattern": "",
"n_rows": -1,
"font": "",
"grid_text_active_color": "#000000",
"grid_text_inactive_color": "#999999",
"grid_background_color": "#ffffff",
"save_images_before_face_restoration": false,
"save_images_before_highres_fix": false,
"save_images_before_color_correction": false,
"save_mask": false,
"save_mask_composite": false,
"jpeg_quality": 80,
"webp_lossless": false,
"export_for_4chan": true,
"img_downscale_threshold": 4.0,
"target_side_length": 4000,
"img_max_size_mp": 200,
"use_original_name_batch": true,
"use_upscaler_name_as_suffix": false,
"save_selected_only": true,
"save_init_img": false,
"temp_dir": "",
"clean_temp_dir_at_start": false,
"save_incomplete_images": false,
"notification_audio": true,
"notification_volume": 100,
"outdir_samples": "",
"outdir_txt2img_samples": "outputs/txt2img-images",
"outdir_img2img_samples": "outputs/img2img-images",
"outdir_extras_samples": "outputs/extras-images",
"outdir_grids": "",
"outdir_txt2img_grids": "outputs/txt2img-grids",
"outdir_img2img_grids": "outputs/img2img-grids",
"outdir_save": "log/images",
"outdir_init_images": "outputs/init-images",
"save_to_dirs": true,
"grid_save_to_dirs": true,
"use_save_to_dirs_for_ui": false,
"directories_filename_pattern": "[date]",
"directories_max_prompt_words": 8,
"ESRGAN_tile": 192,
"ESRGAN_tile_overlap": 8,
"realesrgan_enabled_models": [
"R-ESRGAN 4x+",
"R-ESRGAN 4x+ Anime6B"
],
"upscaler_for_img2img": null,
"face_restoration": false,
"face_restoration_model": "CodeFormer",
"code_former_weight": 0.5,
"face_restoration_unload": false,
"auto_launch_browser": "Local",
"enable_console_prompts": false,
"show_warnings": false,
"show_gradio_deprecation_warnings": true,
"memmon_poll_rate": 8,
"samples_log_stdout": false,
"multiple_tqdm": true,
"print_hypernet_extra": false,
"list_hidden_files": true,
"disable_mmap_load_safetensors": false,
"hide_ldm_prints": true,
"dump_stacks_on_signal": false,
"api_enable_requests": true,
"api_forbid_local_requests": true,
"api_useragent": "",
"unload_models_when_training": false,
"pin_memory": false,
"save_optimizer_state": false,
"save_training_settings_to_txt": true,
"dataset_filename_word_regex": "",
"dataset_filename_join_string": " ",
"training_image_repeats_per_epoch": 1,
"training_write_csv_every": 500,
"training_xattention_optimizations": false,
"training_enable_tensorboard": false,
"training_tensorboard_save_images": false,
"training_tensorboard_flush_every": 120,
"sd_model_checkpoint": "cyberrealistic_v41BackToBasics.safetensors [41b6846108]",
"sd_checkpoints_limit": 1,
"sd_checkpoints_keep_in_cpu": true,
"sd_checkpoint_cache": 0,
"sd_unet": "Automatic",
"enable_quantization": false,
"enable_emphasis": true,
"enable_batch_seeds": true,
"comma_padding_backtrack": 20,
"CLIP_stop_at_last_layers": 1,
"upcast_attn": true,
"randn_source": "GPU",
"tiling": false,
"hires_fix_refiner_pass": "first pass",
"sdxl_crop_top": 0,
"sdxl_crop_left": 0,
"sdxl_refiner_low_aesthetic_score": 2.5,
"sdxl_refiner_high_aesthetic_score": 6.0,
"sd_vae_checkpoint_cache": 0,
"sd_vae": "Automatic",
"sd_vae_overrides_per_model_preferences": true,
"auto_vae_precision": true,
"sd_vae_encode_method": "Full",
"sd_vae_decode_method": "Full",
"inpainting_mask_weight": 1.0,
"initial_noise_multiplier": 1.0,
"img2img_extra_noise": 0.0,
"img2img_color_correction": false,
"img2img_fix_steps": false,
"img2img_background_color": "#ffffff",
"img2img_editor_height": 720,
"img2img_sketch_default_brush_color": "#ffffff",
"img2img_inpaint_mask_brush_color": "#ffffff",
"img2img_inpaint_sketch_default_brush_color": "#ffffff",
"return_mask": false,
"return_mask_composite": false,
"img2img_batch_show_results_limit": 32,
"cross_attention_optimization": "Automatic",
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}
Console logs
Additional information
No response