Version: v3.0
Input
Output
This example was created by evevalentine2017
Finished in 209.1 seconds
v3.0: Pulling from evevalentine2017/mixtape-funk
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
235071021718: Already exists
71f4e8df44e2: Pull complete
658b0d190226: Pull complete
c3d7d4868573: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.4), (beautiful, aesthetic, perfect, delicate, intricate:1.2), (cute, adorable), (depth of field:1.2), cinematic shot, natural lighting, teasing nudity, (1girl, solo), perfect female form, (perfect face, detailed face, full lips, glossy lips, blush, eyeliner, expressive eyes), (two tone hair, multicolored hair, hair intakes), (large natural breasts, narrow waists), smile, a maid dirty with food, (pink apron, frills, no panties, naked under the apron), bangle, bracelet, breasts, collar, chocker, earrings, jewelry, nail polish, cake, pie, jelly, jello, gelatin, flan, (at kitchen), (cowboy shot), <lora:FaceBeauty_qinglong_V3:0.9>, (masterpiece:1.5), (best quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5)
Full negative prompt: EasyNegative, BadHands, BadArtist, BadArtistAnime, BadPrompt, BadImages, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned), ng_deepnegative_v1_75t, (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, easynegative, paintings, sketches, lowres, normal quality, bad_prompt_version2, ugly, bored, bad eyes, age spot, old, crop, out of frame, sickly, mutilated, extra fingers, mutated hands, badly drawn hands, badly drawn face, mutated, deformed. blurred, dehydrated, bad proportions, ugly face, bad mouth, poorly drawn, blurry, bad eyes, deformed face, disgusting, mutated ugly, poorly drawn face, deformed hands, deformed fingers, mutated fingers, 3d, cartoon, anime, sketches, (worst quality, bad quality, child, cropped:1.4), (bad-hands-5:1.0), (badhandv4:1.0), (easynegative:0.8), (bad-artist-anime:0.8), (bad-artist:0.8), (bad_prompt:0.8), (bad-picture-chill-75v:0.8), (bad_prompt_version2-neg:0.8), (bad_quality:0.8), ugly face, bad drawn picture, ugly eyes, blurry eyes, (motocycle, moto), (handbag, purse, bag),
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Decoding latents in cuda:0...
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0: 640x640 1 face, 7.6ms
Speed: 3.7ms preprocess, 7.6ms inference, 23.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.0ms
Speed: 3.2ms preprocess, 7.0ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 face, 9.1ms
Speed: 2.9ms preprocess, 9.1ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.0ms
Speed: 3.3ms preprocess, 7.0ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.44s
Move latents to cpu...
done in 0.22s
0: 640x640 2 hands, 7.0ms
Speed: 3.2ms preprocess, 7.0ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 3.0ms preprocess, 6.9ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Finished.
This example was created by evevalentine2017
Finished in 209.1 seconds
v3.0: Pulling from evevalentine2017/mixtape-funk
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
235071021718: Already exists
71f4e8df44e2: Pull complete
658b0d190226: Pull complete
c3d7d4868573: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.4), (beautiful, aesthetic, perfect, delicate, intricate:1.2), (cute, adorable), (depth of field:1.2), cinematic shot, natural lighting, teasing nudity, (1girl, solo), perfect female form, (perfect face, detailed face, full lips, glossy lips, blush, eyeliner, expressive eyes), (two tone hair, multicolored hair, hair intakes), (large natural breasts, narrow waists), smile, a maid dirty with food, (pink apron, frills, no panties, naked under the apron), bangle, bracelet, breasts, collar, chocker, earrings, jewelry, nail polish, cake, pie, jelly, jello, gelatin, flan, (at kitchen), (cowboy shot), <lora:FaceBeauty_qinglong_V3:0.9>, (masterpiece:1.5), (best quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5)
Full negative prompt: EasyNegative, BadHands, BadArtist, BadArtistAnime, BadPrompt, BadImages, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask, (muscles, muscular, toned), ng_deepnegative_v1_75t, (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, easynegative, paintings, sketches, lowres, normal quality, bad_prompt_version2, ugly, bored, bad eyes, age spot, old, crop, out of frame, sickly, mutilated, extra fingers, mutated hands, badly drawn hands, badly drawn face, mutated, deformed. blurred, dehydrated, bad proportions, ugly face, bad mouth, poorly drawn, blurry, bad eyes, deformed face, disgusting, mutated ugly, poorly drawn face, deformed hands, deformed fingers, mutated fingers, 3d, cartoon, anime, sketches, (worst quality, bad quality, child, cropped:1.4), (bad-hands-5:1.0), (badhandv4:1.0), (easynegative:0.8), (bad-artist-anime:0.8), (bad-artist:0.8), (bad_prompt:0.8), (bad-picture-chill-75v:0.8), (bad_prompt_version2-neg:0.8), (bad_quality:0.8), ugly face, bad drawn picture, ugly eyes, blurry eyes, (motocycle, moto), (handbag, purse, bag),
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 3.7ms preprocess, 7.6ms inference, 23.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.01s
0: 640x640 3 hands, 7.0ms
Speed: 3.2ms preprocess, 7.0ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 23/23 [00:09<00:00, 3.29it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
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30%|███ | 7/23 [00:03<00:07, 2.19it/s]
35%|███▍ | 8/23 [00:03<00:06, 2.22it/s]
39%|███▉ | 9/23 [00:04<00:06, 2.16it/s]
43%|████▎ | 10/23 [00:04<00:05, 2.19it/s]
48%|████▊ | 11/23 [00:05<00:05, 2.19it/s]
52%|█████▏ | 12/23 [00:05<00:04, 2.28it/s]
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61%|██████ | 14/23 [00:06<00:03, 2.27it/s]
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83%|████████▎ | 19/23 [00:08<00:01, 2.39it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.29it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 9.1ms
Speed: 2.9ms preprocess, 9.1ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 9/23 [00:04<00:06, 2.15it/s]
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48%|████▊ | 11/23 [00:05<00:05, 2.15it/s]
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65%|██████▌ | 15/23 [00:06<00:03, 2.29it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.27it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 3.3ms preprocess, 7.0ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 14/23 [00:06<00:04, 2.21it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.28it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
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39%|███▉ | 9/23 [00:04<00:06, 2.16it/s]
43%|████▎ | 10/23 [00:04<00:05, 2.19it/s]
48%|████▊ | 11/23 [00:05<00:05, 2.15it/s]
52%|█████▏ | 12/23 [00:05<00:04, 2.26it/s]
57%|█████▋ | 13/23 [00:05<00:04, 2.26it/s]
61%|██████ | 14/23 [00:06<00:04, 2.23it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.31it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.24it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.3ms
Speed: 3.0ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 9/23 [00:04<00:06, 2.15it/s]
43%|████▎ | 10/23 [00:04<00:06, 2.14it/s]
48%|████▊ | 11/23 [00:05<00:05, 2.14it/s]
52%|█████▏ | 12/23 [00:05<00:04, 2.23it/s]
57%|█████▋ | 13/23 [00:05<00:04, 2.24it/s]
61%|██████ | 14/23 [00:06<00:04, 2.24it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.32it/s]
70%|██████▉ | 16/23 [00:07<00:03, 2.31it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.23it/s]
100%|██████████| 23/23 [00:09<00:00, 2.37it/s]
Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.44s
Move latents to cpu...
done in 0.22s
0: 640x640 2 hands, 7.0ms
Speed: 3.2ms preprocess, 7.0ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 9/23 [00:04<00:06, 2.19it/s]
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48%|████▊ | 11/23 [00:05<00:05, 2.20it/s]
52%|█████▏ | 12/23 [00:05<00:04, 2.28it/s]
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61%|██████ | 14/23 [00:06<00:03, 2.26it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.24it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
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30%|███ | 7/23 [00:03<00:07, 2.20it/s]
35%|███▍ | 8/23 [00:03<00:06, 2.25it/s]
39%|███▉ | 9/23 [00:04<00:06, 2.16it/s]
43%|████▎ | 10/23 [00:04<00:05, 2.18it/s]
48%|████▊ | 11/23 [00:05<00:05, 2.14it/s]
52%|█████▏ | 12/23 [00:05<00:04, 2.24it/s]
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61%|██████ | 14/23 [00:06<00:04, 2.24it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s]
70%|██████▉ | 16/23 [00:07<00:03, 2.28it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.27it/s]
100%|██████████| 23/23 [00:09<00:00, 2.39it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.5ms
Speed: 3.2ms preprocess, 7.5ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
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39%|███▉ | 9/23 [00:04<00:06, 2.14it/s]
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48%|████▊ | 11/23 [00:05<00:05, 2.13it/s]
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61%|██████ | 14/23 [00:06<00:04, 2.22it/s]
65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.12it/s]
100%|██████████| 23/23 [00:09<00:00, 2.35it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 3.0ms preprocess, 6.9ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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48%|████▊ | 11/23 [00:05<00:05, 2.16it/s]
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100%|██████████| 23/23 [00:09<00:00, 3.20it/s]
100%|██████████| 23/23 [00:09<00:00, 2.37it/s]
Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Finished.