Open spreck opened 1 year ago
Have the same problem in Vladmandic. Can someone help?
solved temporarily adding 3x # in app.py :
#"", # img2img_batch_output_dir (unsupported)
#"", # img2img_batch_inpaint_mask_dir (unsupported):
if req.is_inpaint else 0, # mode (we use 0 (img2img with init_img) & 4 (inpaint uploaded mask)) parse_prompt(req.prompt), # prompt parse_prompt(req.negative_prompt), # negative_prompt "None", # prompt_styles: saved prompt styles (unsupported) image, # init_img None, # sketch (unused by us) None, # init_img_with_mask (unused by us) None, # inpaint_color_sketch (unused by us) None, # inpaint_color_sketch_orig (unused by us) image, # init_img_inpaint mask, # init_mask_inpaint req.steps, # steps get_sampler_index(req.sampler_name), # sampler_index 0, # req.mask_blur, # mask_blur None, # mask_alpha (unused by us) # only used by webUI color sketch if init_img_with_mask isn't dict req.inpainting_fill, # inpainting_fill req.restore_faces, # restore_faces req.tiling, # tiling req.batch_count, # n_iter req.batch_size, # batch_size req.cfg_scale, # cfg_scale 0, # img_cfg_scale (unsupported) req.clip_skip, # clip_skip <<<<< here req.denoising_strength, # denoising_strength req.seed, # seed req.subseed, # subseed req.subseed_strength, # subseed_strength req.seed_resize_from_h, # seed_resize_from_h req.seed_resize_from_w, # seed_resize_from_w req.seed_enable_extras, # seed_enable_extras 0, # selected_scale_tab height, # height width, # width 1.0, # scale_by req.resize_mode, # resize_mode False, # req.inpaint_full_res, # inpaint_full_res 0, # req.inpaint_full_res_padding, # inpaint_full_res_padding req.invert_mask, # inpainting_mask_invert
#"", # img2img_batch_output_dir (unsupported) ------------------------------- here
#"", # img2img_batch_inpaint_mask_dir (unsupported) ------------------------------- here
get_sampler_index(req.sampler_name), # hr_sampler_index
"", # hr_prompt
"", # hr_negative_prompt
[], # override_settings_texts (unsupported)
*args,
@Rogal80,
Your code was added to the img2img section, which does indeed fix img2img. What about txt2img?
Describe the bug Error when trying to run txt2img in Krita
To Reproduce Steps to reproduce the behavior:
Screenshots 12:27:12-499195 INFO Loading VAE weights: specified in settings: cached vae-ft-mse-840000-ema-pruned.safetensors 12:27:12-673194 INFO Applying scaled dot product cross attention optimization 12:27:13-143195 INFO Weights loaded in 1.2s (load=0.1s vae=0.7s device=0.4s) 12:27:13-758194 INFO Restoring base VAE 12:27:13-867196 INFO Applying scaled dot product cross attention optimization 12:27:14-596195 INFO VAE weights loaded: None auto-sd-paint-ext:INFO: img size: 512x512 -> 512x512, aspect ratio: 1.00 -> 1.00, 0.00% change 12:27:15-258195 ERROR Exception: 'int' object is not iterable 12:27:15-277193 ERROR Arguments: args=('', 'tensor field', '', 'None', 20, 2, False, False, 1, 1, 7.0, -1, -1, 0.0, 0, 0, False, 512, 512, False, 0.7, 0, 'None', 0, 512, 512, [], 0) kwargs={} 12:27:15-329195 ERROR gradio call: TypeError ┌────────────────────────────────────────────────── Traceback (most recent call last) ───────────────────────────────────────────────────┐ │ C:\Users\wrg\github\automatic\modules\call_queue.py:33 in f │ │ │ │ 32 │ │ │ try: │ │ > 33 │ │ │ │ res = func(*args, **kwargs) │ │ 34 │ │ │ │ progress.record_results(id_task, res) │ │ │ │ C:\Users\wrg\github\automatic\modules\txt2img.py:19 in txt2img │ │ │ │ 18 │ │ sampler_index = 0 │ │ > 19 │ override_settings = create_override_settings_dict(override_settings_texts) │ │ 20 │ │ │ │ C:\Users\wrg\github\automatic\modules\generation_parameters_copypaste.py:341 in create_override_settings_dict │ │ │ │ 340 │ params = {} │ │ > 341 │ for pair in text_pairs: │ │ 342 │ │ k, v = pair.split(":", maxsplit=1) │ └────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘ TypeError: 'int' object is not iterable auto-sd-paint-ext:WARNING: Interrupted!
Desktop (please complete the following information):
Using VENV: C:\Users\wrg\github\automatic\venv 12:14:04-003342 INFO Running extension preloading 12:14:04-139962 INFO Starting SD.Next 12:14:04-142944 INFO Python 3.10.6 on Windows 12:14:04-293926 INFO Version: 684851ae Wed May 24 13:50:01 2023 -0400 12:14:04-841279 INFO Setting environment tuning 12:14:04-853294 INFO nVidia CUDA toolkit detected 12:14:08-286273 INFO Torch 2.0.1+cu118 12:14:08-309266 INFO Torch backend: nVidia CUDA 11.8 cuDNN 8700 12:14:08-313243 INFO Torch detected GPU: NVIDIA GeForce RTX 3060 VRAM 12287 Arch (8, 6) Cores 28 12:14:08-318249 INFO Verifying requirements 12:14:08-353267 WARNING Package wrong version: numpy 1.24.3 required 1.23.5 12:14:08-356271 INFO Installing package: numpy==1.23.5 12:14:26-350593 ERROR Error running pip: install --upgrade numpy==1.23.5 12:14:26-358590 INFO Installing packages 12:14:26-470883 INFO Running setup 12:14:26-473857 INFO Installing repositories 12:14:27-471670 INFO Installing submodules 12:14:30-870097 INFO Updating submodules 12:15:36-499374 INFO Extensions enabled: ['a1111-sd-webui-lycoris', 'clip-interrogator-ext', 'LDSR', 'Lora', 'multidiffusion-upscaler-for-automatic1111', 'prompt-bracket-checker', 'ScuNET', 'sd-dynamic-thresholding', 'sd-extension-system-info', 'sd-webui-controlnet', 'sd-webui-model-converter', 'stable-diffusion-webui-images-browser', 'stable-diffusion-webui-rembg', 'SwinIR', 'a1111-sd-webui-tagcomplete', 'auto-sd-paint-ext', 'model-keyword', 'openOutpaint', 'sd-canvas-editor', 'sd-dynamic-prompts', 'sd-webui-segment-anything', 'stable-diffusion-webui-depthmap-script', 'stable-diffusion-webui-state', 'ultimate-upscale-for-automatic1111'] 12:15:36-521394 INFO Updating Wiki 12:15:37-443349 WARNING Setup complete with errors: 1 12:15:37-446393 WARNING See log file for more details: setup.log 12:15:37-449383 INFO Running extension preloading 12:15:37-453347 INFO Server arguments: ['--models-dir', 'C:\Users\wrg\github\stable-diffusion-webui1\models', '--listen'] No module 'xformers'. Proceeding without it. 12:15:53-207450 INFO Libraries loaded 12:15:53-214443 INFO Using data path: C:\Users\wrg\github\automatic 12:15:53-227440 INFO Available VAEs: C:\Users\wrg\github\stable-diffusion-webui1\models\VAE 3 12:15:53-374424 INFO Available models: C:\Users\wrg\github\stable-diffusion-webui1\models\Stable-diffusion 48 12:16:00-148392 INFO Setting Torch parameters: dtype=torch.float16 vae=torch.float16 unet=torch.float16