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Kitchen with Anime 3D Mix
anime-3d-mix:v1.0
evevalentine2017
evevalentine2017
·
12/17/2023
323
Input
prompt
Specify things to see in the output
masterpiece, best quality, HDR,high-definition, Intricate Details, vray render, octane render, background light minimalist modern kitchen, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, (bad-hands-5), ng_deepnegative_v1_75t
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1812561531
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
22
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/820282fa908a4e7ca9bbe577b69c9b7f/00000-1812561531.webp
https://files.tungsten.run/uploads/6453304b6db34601bb335672f6b75167/00001-1812561532.webp
https://files.tungsten.run/uploads/d72dd60295e74de09f6a210fca8750a7/00002-1812561533.webp
https://files.tungsten.run/uploads/b9c5443473224268bffb640e9f85e6d7/00003-1812561534.webp
Finished in 27.3 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, HDR,high-definition, Intricate Details, vray render, octane render, background light minimalist modern kitchen, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1> Full negative prompt: sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, (bad-hands-5), ng_deepnegative_v1_75t 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:01<00:28, 1.35s/it] 9%|▉ | 2/22 [00:02<00:18, 1.05it/s] 14%|█▎ | 3/22 [00:02<00:15, 1.22it/s] 18%|█▊ | 4/22 [00:03<00:13, 1.31it/s] 23%|██▎ | 5/22 [00:04<00:12, 1.38it/s] 27%|██▋ | 6/22 [00:04<00:11, 1.42it/s] 32%|███▏ | 7/22 [00:05<00:10, 1.44it/s] 36%|███▋ | 8/22 [00:06<00:09, 1.46it/s] 41%|████ | 9/22 [00:06<00:08, 1.47it/s] 45%|████▌ | 10/22 [00:07<00:08, 1.47it/s] 50%|█████ | 11/22 [00:08<00:07, 1.48it/s] 55%|█████▍ | 12/22 [00:08<00:06, 1.48it/s] 59%|█████▉ | 13/22 [00:09<00:06, 1.49it/s] 64%|██████▎ | 14/22 [00:10<00:05, 1.49it/s] 68%|██████▊ | 15/22 [00:10<00:04, 1.48it/s] 73%|███████▎ | 16/22 [00:11<00:04, 1.48it/s] 77%|███████▋ | 17/22 [00:12<00:03, 1.48it/s] 82%|████████▏ | 18/22 [00:12<00:02, 1.48it/s] 86%|████████▋ | 19/22 [00:13<00:02, 1.48it/s] 91%|█████████ | 20/22 [00:14<00:01, 1.48it/s] 95%|█████████▌| 21/22 [00:14<00:00, 1.47it/s] 100%|██████████| 22/22 [00:15<00:00, 1.47it/s] 100%|██████████| 22/22 [00:15<00:00, 1.42it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 7.2ms Speed: 4.4ms preprocess, 7.2ms inference, 10.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 8.5ms Speed: 2.6ms preprocess, 8.5ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Finished.
prompt
Specify things to see in the output
masterpiece, best quality, HDR,high-definition, Intricate Details, vray render, octane render, background light minimalist modern kitchen, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, (bad-hands-5), ng_deepnegative_v1_75t
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1812561531
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
22
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/820282fa908a4e7ca9bbe577b69c9b7f/00000-1812561531.webp
https://files.tungsten.run/uploads/6453304b6db34601bb335672f6b75167/00001-1812561532.webp
https://files.tungsten.run/uploads/d72dd60295e74de09f6a210fca8750a7/00002-1812561533.webp
https://files.tungsten.run/uploads/b9c5443473224268bffb640e9f85e6d7/00003-1812561534.webp
Finished in 27.3 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, HDR,high-definition, Intricate Details, vray render, octane render, background light minimalist modern kitchen, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1>, <lora:epiCRealismHelper:1> Full negative prompt: sketches, (worst quality, low quality:1.3), ((monochrome)), ((grayscale)), plump, old, FastNegativeV2, (bad-hands-5), ng_deepnegative_v1_75t 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:01<00:28, 1.35s/it] 9%|▉ | 2/22 [00:02<00:18, 1.05it/s] 14%|█▎ | 3/22 [00:02<00:15, 1.22it/s] 18%|█▊ | 4/22 [00:03<00:13, 1.31it/s] 23%|██▎ | 5/22 [00:04<00:12, 1.38it/s] 27%|██▋ | 6/22 [00:04<00:11, 1.42it/s] 32%|███▏ | 7/22 [00:05<00:10, 1.44it/s] 36%|███▋ | 8/22 [00:06<00:09, 1.46it/s] 41%|████ | 9/22 [00:06<00:08, 1.47it/s] 45%|████▌ | 10/22 [00:07<00:08, 1.47it/s] 50%|█████ | 11/22 [00:08<00:07, 1.48it/s] 55%|█████▍ | 12/22 [00:08<00:06, 1.48it/s] 59%|█████▉ | 13/22 [00:09<00:06, 1.49it/s] 64%|██████▎ | 14/22 [00:10<00:05, 1.49it/s] 68%|██████▊ | 15/22 [00:10<00:04, 1.48it/s] 73%|███████▎ | 16/22 [00:11<00:04, 1.48it/s] 77%|███████▋ | 17/22 [00:12<00:03, 1.48it/s] 82%|████████▏ | 18/22 [00:12<00:02, 1.48it/s] 86%|████████▋ | 19/22 [00:13<00:02, 1.48it/s] 91%|█████████ | 20/22 [00:14<00:01, 1.48it/s] 95%|█████████▌| 21/22 [00:14<00:00, 1.47it/s] 100%|██████████| 22/22 [00:15<00:00, 1.47it/s] 100%|██████████| 22/22 [00:15<00:00, 1.42it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 7.2ms Speed: 4.4ms preprocess, 7.2ms inference, 10.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 8.5ms Speed: 2.6ms preprocess, 8.5ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Finished.