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Polar Bear Playing Cards with PhotoPedia XL
photopedia-xl:v4.5
evevalentine2017
evevalentine2017
·
Feb 7
336
Input
prompt
Specify things to see in the output
The (white polar bear:1.5) is playing cards, on an iceberg with pinguins and wondering, multi-color woodblock print, japanese moku hanga style. Ukiyo-e. Exceptionally detailed unusual realistic, style of Andy Farkas, Mio Asahi, Koji Ikuta, Oleg Denisenko. very attractive. high definition, very beautiful color, clay, puppet
negative_prompt
Specify things to not see in the output
desaturated, (worst quality, low quality:1.4), illustration, 3d, 2d, painting, cartoons, sketch, blur, blurry, blurred, bokeh, unclear, grainy, low resolution, downsampling, aliasing, dithering, distorted, jpeg artifacts, compression artifacts, overexposed, high-contrast, bad-contrast, poorly drawn, cropped, out of frame, [deformed, disfigured, suspenders], ((deformed iris, deformed pupils:1.4)), (physically-abnormal:2), (joint-inequalities:2), (limbs-inequalities:2), deformed, disfigured, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, dull eyes, mismatched eyes, bad anatomy, signature, watermark, artist name, text, error
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
316134716
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++ 2S a Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/1352bc69d96140d1ab92aa608460720f/00000-316134716.webp
https://files.tungsten.run/uploads/4a5351a4d9a84c7396b375bd6ac1dc33/00001-316134717.webp
https://files.tungsten.run/uploads/e2789bf080ae4e60909a8b0282c65f4e/00002-316134718.webp
Finished in 133.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: The (white polar bear:1.5) is playing cards, on an iceberg with pinguins and wondering, multi-color woodblock print, japanese moku hanga style. Ukiyo-e. Exceptionally detailed unusual realistic, style of Andy Farkas, Mio Asahi, Koji Ikuta, Oleg Denisenko. very attractive. high definition, very beautiful color, clay, puppet Full negative prompt: desaturated, (worst quality, low quality:1.4), illustration, 3d, 2d, painting, cartoons, sketch, blur, blurry, blurred, bokeh, unclear, grainy, low resolution, downsampling, aliasing, dithering, distorted, jpeg artifacts, compression artifacts, overexposed, high-contrast, bad-contrast, poorly drawn, cropped, out of frame, [deformed, disfigured, suspenders], ((deformed iris, deformed pupils:1.4)), (physically-abnormal:2), (joint-inequalities:2), (limbs-inequalities:2), deformed, disfigured, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, dull eyes, mismatched eyes, bad anatomy, signature, watermark, artist name, text, error 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:09, 1.79s/it] 5%|▌ | 2/40 [00:03<01:07, 1.78s/it] 8%|▊ | 3/40 [00:05<01:05, 1.78s/it] 10%|█ | 4/40 [00:07<01:04, 1.78s/it] 12%|█▎ | 5/40 [00:08<01:02, 1.78s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.78s/it] 18%|█▊ | 7/40 [00:12<01:00, 1.83s/it] 20%|██ | 8/40 [00:14<01:02, 1.95s/it] 22%|██▎ | 9/40 [00:16<00:59, 1.93s/it] 25%|██▌ | 10/40 [00:18<00:56, 1.89s/it] 28%|██▊ | 11/40 [00:20<00:54, 1.86s/it] 30%|███ | 12/40 [00:22<00:51, 1.84s/it] 32%|███▎ | 13/40 [00:23<00:49, 1.83s/it] 35%|███▌ | 14/40 [00:25<00:47, 1.82s/it] 38%|███▊ | 15/40 [00:27<00:45, 1.82s/it] 40%|████ | 16/40 [00:29<00:43, 1.82s/it] 42%|████▎ | 17/40 [00:31<00:41, 1.81s/it] 45%|████▌ | 18/40 [00:32<00:39, 1.81s/it] 48%|████▊ | 19/40 [00:34<00:37, 1.81s/it] 50%|█████ | 20/40 [00:36<00:36, 1.81s/it] 52%|█████▎ | 21/40 [00:38<00:34, 1.81s/it] 55%|█████▌ | 22/40 [00:40<00:32, 1.81s/it] 57%|█████▊ | 23/40 [00:41<00:30, 1.81s/it] 60%|██████ | 24/40 [00:43<00:28, 1.81s/it] 62%|██████▎ | 25/40 [00:45<00:27, 1.81s/it] 65%|██████▌ | 26/40 [00:47<00:25, 1.80s/it] 68%|██████▊ | 27/40 [00:49<00:23, 1.80s/it] 70%|███████ | 28/40 [00:51<00:21, 1.81s/it] 72%|███████▎ | 29/40 [00:52<00:19, 1.81s/it] 75%|███████▌ | 30/40 [00:54<00:18, 1.81s/it] 78%|███████▊ | 31/40 [00:56<00:16, 1.81s/it] 80%|████████ | 32/40 [00:58<00:14, 1.81s/it] 82%|████████▎ | 33/40 [01:00<00:12, 1.81s/it] 85%|████████▌ | 34/40 [01:01<00:10, 1.81s/it] 88%|████████▊ | 35/40 [01:03<00:09, 1.81s/it] 90%|█████████ | 36/40 [01:05<00:07, 1.82s/it] 92%|█████████▎| 37/40 [01:07<00:05, 1.82s/it] 95%|█████████▌| 38/40 [01:09<00:03, 1.82s/it] 98%|█████████▊| 39/40 [01:10<00:01, 1.82s/it] 100%|██████████| 40/40 [01:11<00:00, 1.54s/it] 100%|██████████| 40/40 [01:11<00:00, 1.80s/it] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.9ms Speed: 2.9ms preprocess, 160.9ms inference, 29.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:25, 1.40s/it] 11%|█ | 2/19 [00:02<00:22, 1.30s/it] 16%|█▌ | 3/19 [00:03<00:20, 1.30s/it] 21%|██ | 4/19 [00:05<00:19, 1.27s/it] 26%|██▋ | 5/19 [00:06<00:17, 1.28s/it] 32%|███▏ | 6/19 [00:07<00:16, 1.27s/it] 37%|███▋ | 7/19 [00:08<00:15, 1.25s/it] 42%|████▏ | 8/19 [00:10<00:13, 1.25s/it] 47%|████▋ | 9/19 [00:11<00:12, 1.25s/it] 53%|█████▎ | 10/19 [00:12<00:11, 1.24s/it] 58%|█████▊ | 11/19 [00:13<00:10, 1.26s/it] 63%|██████▎ | 12/19 [00:15<00:08, 1.25s/it] 68%|██████▊ | 13/19 [00:16<00:07, 1.25s/it] 74%|███████▎ | 14/19 [00:17<00:06, 1.25s/it] 79%|███████▉ | 15/19 [00:18<00:05, 1.27s/it] 84%|████████▍ | 16/19 [00:20<00:03, 1.26s/it] 89%|████████▉ | 17/19 [00:21<00:02, 1.27s/it] 95%|█████████▍| 18/19 [00:22<00:01, 1.27s/it] 100%|██████████| 19/19 [00:23<00:00, 1.08s/it] 100%|██████████| 19/19 [00:23<00:00, 1.23s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 9.4ms Speed: 3.0ms preprocess, 9.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:22, 1.24s/it] 11%|█ | 2/19 [00:02<00:21, 1.24s/it] 16%|█▌ | 3/19 [00:03<00:20, 1.25s/it] 21%|██ | 4/19 [00:04<00:18, 1.25s/it] 26%|██▋ | 5/19 [00:06<00:18, 1.33s/it] 32%|███▏ | 6/19 [00:08<00:20, 1.55s/it] 37%|███▋ | 7/19 [00:09<00:17, 1.47s/it] 42%|████▏ | 8/19 [00:11<00:15, 1.40s/it] 47%|████▋ | 9/19 [00:12<00:13, 1.34s/it] 53%|█████▎ | 10/19 [00:13<00:11, 1.31s/it] 58%|█████▊ | 11/19 [00:14<00:10, 1.29s/it] 63%|██████▎ | 12/19 [00:15<00:08, 1.27s/it] 68%|██████▊ | 13/19 [00:17<00:07, 1.26s/it] 74%|███████▎ | 14/19 [00:18<00:06, 1.25s/it] 79%|███████▉ | 15/19 [00:19<00:05, 1.26s/it] 84%|████████▍ | 16/19 [00:20<00:03, 1.25s/it] 89%|████████▉ | 17/19 [00:22<00:02, 1.25s/it] 95%|█████████▍| 18/19 [00:23<00:01, 1.24s/it]
prompt
Specify things to see in the output
The (white polar bear:1.5) is playing cards, on an iceberg with pinguins and wondering, multi-color woodblock print, japanese moku hanga style. Ukiyo-e. Exceptionally detailed unusual realistic, style of Andy Farkas, Mio Asahi, Koji Ikuta, Oleg Denisenko. very attractive. high definition, very beautiful color, clay, puppet
negative_prompt
Specify things to not see in the output
desaturated, (worst quality, low quality:1.4), illustration, 3d, 2d, painting, cartoons, sketch, blur, blurry, blurred, bokeh, unclear, grainy, low resolution, downsampling, aliasing, dithering, distorted, jpeg artifacts, compression artifacts, overexposed, high-contrast, bad-contrast, poorly drawn, cropped, out of frame, [deformed, disfigured, suspenders], ((deformed iris, deformed pupils:1.4)), (physically-abnormal:2), (joint-inequalities:2), (limbs-inequalities:2), deformed, disfigured, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, dull eyes, mismatched eyes, bad anatomy, signature, watermark, artist name, text, error
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
316134716
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++ 2S a Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/1352bc69d96140d1ab92aa608460720f/00000-316134716.webp
https://files.tungsten.run/uploads/4a5351a4d9a84c7396b375bd6ac1dc33/00001-316134717.webp
https://files.tungsten.run/uploads/e2789bf080ae4e60909a8b0282c65f4e/00002-316134718.webp
Finished in 133.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: The (white polar bear:1.5) is playing cards, on an iceberg with pinguins and wondering, multi-color woodblock print, japanese moku hanga style. Ukiyo-e. Exceptionally detailed unusual realistic, style of Andy Farkas, Mio Asahi, Koji Ikuta, Oleg Denisenko. very attractive. high definition, very beautiful color, clay, puppet Full negative prompt: desaturated, (worst quality, low quality:1.4), illustration, 3d, 2d, painting, cartoons, sketch, blur, blurry, blurred, bokeh, unclear, grainy, low resolution, downsampling, aliasing, dithering, distorted, jpeg artifacts, compression artifacts, overexposed, high-contrast, bad-contrast, poorly drawn, cropped, out of frame, [deformed, disfigured, suspenders], ((deformed iris, deformed pupils:1.4)), (physically-abnormal:2), (joint-inequalities:2), (limbs-inequalities:2), deformed, disfigured, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, dull eyes, mismatched eyes, bad anatomy, signature, watermark, artist name, text, error 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<01:09, 1.79s/it] 5%|▌ | 2/40 [00:03<01:07, 1.78s/it] 8%|▊ | 3/40 [00:05<01:05, 1.78s/it] 10%|█ | 4/40 [00:07<01:04, 1.78s/it] 12%|█▎ | 5/40 [00:08<01:02, 1.78s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.78s/it] 18%|█▊ | 7/40 [00:12<01:00, 1.83s/it] 20%|██ | 8/40 [00:14<01:02, 1.95s/it] 22%|██▎ | 9/40 [00:16<00:59, 1.93s/it] 25%|██▌ | 10/40 [00:18<00:56, 1.89s/it] 28%|██▊ | 11/40 [00:20<00:54, 1.86s/it] 30%|███ | 12/40 [00:22<00:51, 1.84s/it] 32%|███▎ | 13/40 [00:23<00:49, 1.83s/it] 35%|███▌ | 14/40 [00:25<00:47, 1.82s/it] 38%|███▊ | 15/40 [00:27<00:45, 1.82s/it] 40%|████ | 16/40 [00:29<00:43, 1.82s/it] 42%|████▎ | 17/40 [00:31<00:41, 1.81s/it] 45%|████▌ | 18/40 [00:32<00:39, 1.81s/it] 48%|████▊ | 19/40 [00:34<00:37, 1.81s/it] 50%|█████ | 20/40 [00:36<00:36, 1.81s/it] 52%|█████▎ | 21/40 [00:38<00:34, 1.81s/it] 55%|█████▌ | 22/40 [00:40<00:32, 1.81s/it] 57%|█████▊ | 23/40 [00:41<00:30, 1.81s/it] 60%|██████ | 24/40 [00:43<00:28, 1.81s/it] 62%|██████▎ | 25/40 [00:45<00:27, 1.81s/it] 65%|██████▌ | 26/40 [00:47<00:25, 1.80s/it] 68%|██████▊ | 27/40 [00:49<00:23, 1.80s/it] 70%|███████ | 28/40 [00:51<00:21, 1.81s/it] 72%|███████▎ | 29/40 [00:52<00:19, 1.81s/it] 75%|███████▌ | 30/40 [00:54<00:18, 1.81s/it] 78%|███████▊ | 31/40 [00:56<00:16, 1.81s/it] 80%|████████ | 32/40 [00:58<00:14, 1.81s/it] 82%|████████▎ | 33/40 [01:00<00:12, 1.81s/it] 85%|████████▌ | 34/40 [01:01<00:10, 1.81s/it] 88%|████████▊ | 35/40 [01:03<00:09, 1.81s/it] 90%|█████████ | 36/40 [01:05<00:07, 1.82s/it] 92%|█████████▎| 37/40 [01:07<00:05, 1.82s/it] 95%|█████████▌| 38/40 [01:09<00:03, 1.82s/it] 98%|█████████▊| 39/40 [01:10<00:01, 1.82s/it] 100%|██████████| 40/40 [01:11<00:00, 1.54s/it] 100%|██████████| 40/40 [01:11<00:00, 1.80s/it] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.9ms Speed: 2.9ms preprocess, 160.9ms inference, 29.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:25, 1.40s/it] 11%|█ | 2/19 [00:02<00:22, 1.30s/it] 16%|█▌ | 3/19 [00:03<00:20, 1.30s/it] 21%|██ | 4/19 [00:05<00:19, 1.27s/it] 26%|██▋ | 5/19 [00:06<00:17, 1.28s/it] 32%|███▏ | 6/19 [00:07<00:16, 1.27s/it] 37%|███▋ | 7/19 [00:08<00:15, 1.25s/it] 42%|████▏ | 8/19 [00:10<00:13, 1.25s/it] 47%|████▋ | 9/19 [00:11<00:12, 1.25s/it] 53%|█████▎ | 10/19 [00:12<00:11, 1.24s/it] 58%|█████▊ | 11/19 [00:13<00:10, 1.26s/it] 63%|██████▎ | 12/19 [00:15<00:08, 1.25s/it] 68%|██████▊ | 13/19 [00:16<00:07, 1.25s/it] 74%|███████▎ | 14/19 [00:17<00:06, 1.25s/it] 79%|███████▉ | 15/19 [00:18<00:05, 1.27s/it] 84%|████████▍ | 16/19 [00:20<00:03, 1.26s/it] 89%|████████▉ | 17/19 [00:21<00:02, 1.27s/it] 95%|█████████▍| 18/19 [00:22<00:01, 1.27s/it] 100%|██████████| 19/19 [00:23<00:00, 1.08s/it] 100%|██████████| 19/19 [00:23<00:00, 1.23s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 9.4ms Speed: 3.0ms preprocess, 9.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:01<00:22, 1.24s/it] 11%|█ | 2/19 [00:02<00:21, 1.24s/it] 16%|█▌ | 3/19 [00:03<00:20, 1.25s/it] 21%|██ | 4/19 [00:04<00:18, 1.25s/it] 26%|██▋ | 5/19 [00:06<00:18, 1.33s/it] 32%|███▏ | 6/19 [00:08<00:20, 1.55s/it] 37%|███▋ | 7/19 [00:09<00:17, 1.47s/it] 42%|████▏ | 8/19 [00:11<00:15, 1.40s/it] 47%|████▋ | 9/19 [00:12<00:13, 1.34s/it] 53%|█████▎ | 10/19 [00:13<00:11, 1.31s/it] 58%|█████▊ | 11/19 [00:14<00:10, 1.29s/it] 63%|██████▎ | 12/19 [00:15<00:08, 1.27s/it] 68%|██████▊ | 13/19 [00:17<00:07, 1.26s/it] 74%|███████▎ | 14/19 [00:18<00:06, 1.25s/it] 79%|███████▉ | 15/19 [00:19<00:05, 1.26s/it] 84%|████████▍ | 16/19 [00:20<00:03, 1.25s/it] 89%|████████▉ | 17/19 [00:22<00:02, 1.25s/it] 95%|█████████▍| 18/19 [00:23<00:01, 1.24s/it]