Closed squadjot closed 11 months ago
Low denoising strength just made image blurry in 1,7, it was working as expected in 1.6
Make prompt of something, use hiresfix and chose a low "denoising strength"
The hires fix should have upscaled to a crips image, (with little differnce to the unscaled (due to low denoise strength))
Microsoft Edge
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Specify the reduction dim with the 'dim' argument.", "traceback": [ [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\call_queue.py, line 57, f", "res = list(func(*args, *kwargs))" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\call_queue.py, line 36, f", "res = func(args, **kwargs)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\txt2img.py, line 55, txt2img", "processed = processing.process_images(p)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py, line 734, process_images", "res = process_images_inner(p)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion 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:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py, line 1157, sample", "return self.sample_hr_pass(samples, decoded_samples, seeds, subseeds, subseed_strength, prompts)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py, line 1242, sample_hr_pass", "samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\sd_samplers_kdiffusion.py, line 172, sample_img2img", "noise_sampler = self.create_noise_sampler(x, sigmas, p)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\sd_samplers_common.py, line 329, create_noise_sampler", "sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()" ] ] } ], "CPU": { "model": "Intel64 Family 6 Model 183 Stepping 1, GenuineIntel", "count logical": 24, "count physical": 16 }, "RAM": { "total": "96GB", "used": "15GB", "free": "81GB" }, 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Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)] Version: v1.7.0 Commit hash: cf2772fab0af5573da775e7437e6acdca424f26e Installing clip Cloning Stable Diffusion into C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\stable-diffusion-stability-ai... Cloning into 'C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\stable-diffusion-stability-ai'... Cloning Stable Diffusion XL into C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\generative-models... Cloning into 'C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\generative-models'... Cloning K-diffusion into C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\k-diffusion... Cloning into 'C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\k-diffusion'... Cloning CodeFormer into C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\CodeFormer... Cloning into 'C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\CodeFormer'... Cloning BLIP into C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\BLIP... Cloning into 'C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\repositories\BLIP'... Installing requirements for CodeFormer Launching Web UI with arguments: --xformers --api --skip-python-version-check Style database not found: C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\styles.csv Calculating sha256 for C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\models\Stable-diffusion\beautyfoolReality_v30.safetensors: Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. Startup time: 121.2s (prepare environment: 46.5s, import torch: 4.0s, import gradio: 21.5s, setup paths: 24.0s, initialize shared: 0.4s, other imports: 22.3s, setup codeformer: 0.1s, list SD models: 0.4s, load scripts: 1.4s, create ui: 0.3s, gradio launch: 0.1s). 48256bfbbc54f5484b8249f4ac3b3c4aec6deea0558325a148a94e641d457194 Loading weights [48256bfbbc] from C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\models\Stable-diffusion\beautyfoolReality_v30.safetensors Creating model from config: C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\models\Stable-diffusion\beautyfoolReality_v30.yaml Applying attention optimization: xformers... done. Model loaded in 3.6s (calculate hash: 2.0s, load weights from disk: 0.3s, create model: 0.2s, apply weights to model: 0.8s, calculate empty prompt: 0.1s). Reusing loaded model beautyfoolReality_v30.safetensors [48256bfbbc] to load epicphotogasm_lastUnicorn.safetensors Calculating sha256 for C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\models\Stable-diffusion\epicphotogasm_lastUnicorn.safetensors: 62bb78983aaa61426b1eb79060bca5c663b94ea02657c43c21f32d58df396692 Loading weights [62bb78983a] from C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\models\Stable-diffusion\epicphotogasm_lastUnicorn.safetensors Creating model from config: C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\configs\v1-inference.yaml Applying attention optimization: xformers... done. .-.-.-. Traceback (most recent call last): File "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\call_queue.py", line 57, in f res = list(func(*args, **kwargs)) File "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\call_queue.py", line 36, in f res = func(*args, **kwargs) File "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\txt2img.py", line 55, in txt2img processed = processing.process_images(p) File "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py", line 734, in process_images res = process_images_inner(p) File "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py", line 868, in 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) File "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py", line 1157, in sample return self.sample_hr_pass(samples, decoded_samples, seeds, subseeds, subseed_strength, prompts) File "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py", line 1242, in sample_hr_pass samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning) File "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\sd_samplers_kdiffusion.py", line 172, in sample_img2img noise_sampler = self.create_noise_sampler(x, sigmas, p) File "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\sd_samplers_common.py", line 329, in create_noise_sampler sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max() RuntimeError: min(): Expected reduction dim to be specified for input.numel() == 0. Specify the reduction dim with the 'dim' argument.
No response
nevermind.. my bad
squadjot
commented
11 months ago squadjot
commented
11 months ago
Checklist
What happened?
Low denoising strength just made image blurry in 1,7, it was working as expected in 1.6
Steps to reproduce the problem
Make prompt of something, use hiresfix and chose a low "denoising strength"
What should have happened?
The hires fix should have upscaled to a crips image, (with little differnce to the unscaled (due to low denoise strength))
What browsers do you use to access the UI ?
Microsoft Edge
Sysinfo
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Specify the reduction dim with the 'dim' argument.", "traceback": [ [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\call_queue.py, line 57, f", "res = list(func(*args, *kwargs))" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\call_queue.py, line 36, f", "res = func(args, **kwargs)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\txt2img.py, line 55, txt2img", "processed = processing.process_images(p)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py, line 734, process_images", "res = process_images_inner(p)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion 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:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py, line 1157, sample", "return self.sample_hr_pass(samples, decoded_samples, seeds, subseeds, subseed_strength, prompts)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\processing.py, line 1242, sample_hr_pass", "samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\sd_samplers_kdiffusion.py, line 172, sample_img2img", "noise_sampler = self.create_noise_sampler(x, sigmas, p)" ], [ "C:\AI\StabilityMatrix\Data\Packages\Stable Diffusion WebUI\modules\sd_samplers_common.py, line 329, create_noise_sampler", "sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()" ] ] } ], "CPU": { "model": "Intel64 Family 6 Model 183 Stepping 1, GenuineIntel", "count logical": 24, "count physical": 16 }, "RAM": { "total": "96GB", "used": "15GB", "free": "81GB" }, 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