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Cute Hamsters with Digital Dream XL
digital-dream-xl:be0407f
evevalentine2017
evevalentine2017
·
Feb 5
370
Input
prompt
Specify things to see in the output
tilt-shift photo of, selective focus, miniature effect, blurred background, highly detailed, vibrant, perspective control, natural Tilt Shot (Whimsically artistic), adorable extra (fluffy: 1.3) chubby miniature pika wearing an ral-highvis construction hat and jacket, dry grassland, tiny rocks, magical, macro photography, (enchanting:1.3), (luminous:1.2), (oversized flora:1.1), mystical, vibrant photography, shimmering light, dreamy, whimsical, serene, soft-focus, hyper-detailed digital art,
negative_prompt
Specify things to not see in the output
old, tired, baggy eyes, simple background, boring,large breasts, watermark, text,
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.
1030295084
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
69
cfg_scale
Scale for classifier-free guidance
7
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/a03ad1f629da464bbc15371a8656dd7a/00000-1030295084.webp
https://files.tungsten.run/uploads/7cb5fdacd50c43079d05c25cbd196bfb/00001-1030295085.webp
https://files.tungsten.run/uploads/de78cf3d044a45daa610ee9b60b2238c/00002-1030295086.webp
Finished in 192.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: tilt-shift photo of, selective focus, miniature effect, blurred background, highly detailed, vibrant, perspective control, natural Tilt Shot (Whimsically artistic), adorable extra (fluffy: 1.3) chubby miniature pika wearing an ral-highvis construction hat and jacket, dry grassland, tiny rocks, magical, macro photography, (enchanting:1.3), (luminous:1.2), (oversized flora:1.1), mystical, vibrant photography, shimmering light, dreamy, whimsical, serene, soft-focus, hyper-detailed digital art, Full negative prompt: old, tired, baggy eyes, simple background, boring,large breasts, watermark, text, 0%| | 0/69 [00:00<?, ?it/s] 1%|▏ | 1/69 [00:01<01:36, 1.42s/it] 3%|▎ | 2/69 [00:03<01:51, 1.66s/it] 4%|▍ | 3/69 [00:05<02:01, 1.83s/it] 6%|▌ | 4/69 [00:07<02:04, 1.92s/it] 7%|▋ | 5/69 [00:09<02:04, 1.94s/it] 9%|▊ | 6/69 [00:11<02:04, 1.97s/it] 10%|█ | 7/69 [00:13<02:02, 1.97s/it] 12%|█▏ | 8/69 [00:15<02:03, 2.02s/it] 13%|█▎ | 9/69 [00:17<01:57, 1.96s/it] 14%|█▍ | 10/69 [00:19<01:56, 1.97s/it] 16%|█▌ | 11/69 [00:21<01:55, 1.99s/it] 17%|█▋ | 12/69 [00:23<01:50, 1.95s/it] 19%|█▉ | 13/69 [00:25<01:47, 1.93s/it] 20%|██ | 14/69 [00:27<01:47, 1.95s/it] 22%|██▏ | 15/69 [00:28<01:44, 1.94s/it] 23%|██▎ | 16/69 [00:31<01:44, 1.98s/it] 25%|██▍ | 17/69 [00:32<01:41, 1.95s/it] 26%|██▌ | 18/69 [00:34<01:39, 1.94s/it] 28%|██▊ | 19/69 [00:36<01:37, 1.95s/it] 29%|██▉ | 20/69 [00:38<01:35, 1.94s/it] 30%|███ | 21/69 [00:40<01:30, 1.89s/it] 32%|███▏ | 22/69 [00:42<01:28, 1.87s/it] 33%|███▎ | 23/69 [00:44<01:28, 1.92s/it] 35%|███▍ | 24/69 [00:46<01:25, 1.90s/it] 36%|███▌ | 25/69 [00:48<01:24, 1.93s/it] 38%|███▊ | 26/69 [00:49<01:20, 1.88s/it] 39%|███▉ | 27/69 [00:51<01:19, 1.89s/it] 41%|████ | 28/69 [00:53<01:16, 1.87s/it] 42%|████▏ | 29/69 [00:55<01:15, 1.89s/it] 43%|████▎ | 30/69 [00:57<01:12, 1.85s/it] 45%|████▍ | 31/69 [00:59<01:10, 1.86s/it] 46%|████▋ | 32/69 [01:00<01:06, 1.80s/it] 48%|████▊ | 33/69 [01:02<01:05, 1.81s/it] 49%|████▉ | 34/69 [01:04<01:04, 1.85s/it] 51%|█████ | 35/69 [01:06<01:02, 1.83s/it] 52%|█████▏ | 36/69 [01:08<01:01, 1.87s/it] 54%|█████▎ | 37/69 [01:10<00:58, 1.83s/it] 55%|█████▌ | 38/69 [01:12<00:58, 1.88s/it] 57%|█████▋ | 39/69 [01:13<00:55, 1.86s/it] 58%|█████▊ | 40/69 [01:15<00:54, 1.89s/it] 59%|█████▉ | 41/69 [01:17<00:52, 1.88s/it] 61%|██████ | 42/69 [01:19<00:49, 1.82s/it] 62%|██████▏ | 43/69 [01:21<00:46, 1.79s/it] 64%|██████▍ | 44/69 [01:22<00:44, 1.79s/it] 65%|██████▌ | 45/69 [01:24<00:42, 1.78s/it] 67%|██████▋ | 46/69 [01:26<00:40, 1.77s/it] 68%|██████▊ | 47/69 [01:28<00:38, 1.76s/it] 70%|██████▉ | 48/69 [01:29<00:36, 1.76s/it] 71%|███████ | 49/69 [01:31<00:34, 1.75s/it] 72%|███████▏ | 50/69 [01:33<00:32, 1.70s/it] 74%|███████▍ | 51/69 [01:34<00:29, 1.66s/it] 75%|███████▌ | 52/69 [01:36<00:28, 1.65s/it] 77%|███████▋ | 53/69 [01:38<00:25, 1.62s/it] 78%|███████▊ | 54/69 [01:39<00:25, 1.68s/it] 80%|███████▉ | 55/69 [01:41<00:23, 1.67s/it] 81%|████████ | 56/69 [01:43<00:21, 1.65s/it] 83%|████████▎ | 57/69 [01:44<00:20, 1.70s/it] 84%|████████▍ | 58/69 [01:46<00:17, 1.63s/it] 86%|████████▌ | 59/69 [01:48<00:16, 1.65s/it] 87%|████████▋ | 60/69 [01:49<00:14, 1.58s/it] 88%|████████▊ | 61/69 [01:51<00:13, 1.65s/it] 90%|████████▉ | 62/69 [01:52<00:11, 1.59s/it] 91%|█████████▏| 63/69 [01:54<00:09, 1.65s/it] 93%|█████████▎| 64/69 [01:56<00:07, 1.60s/it] 94%|█████████▍| 65/69 [01:57<00:06, 1.57s/it] 96%|█████████▌| 66/69 [01:59<00:04, 1.61s/it] 97%|█████████▋| 67/69 [02:00<00:03, 1.55s/it] 99%|█████████▊| 68/69 [02:01<00:01, 1.38s/it] 100%|██████████| 69/69 [02:02<00:00, 1.22s/it] 100%|██████████| 69/69 [02:02<00:00, 1.78s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 162.9ms Speed: 2.6ms preprocess, 162.9ms inference, 22.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:34, 1.12s/it] 6%|▋ | 2/32 [00:02<00:29, 1.01it/s] 9%|▉ | 3/32 [00:02<00:28, 1.03it/s] 12%|█▎ | 4/32 [00:03<00:26, 1.05it/s] 16%|█▌ | 5/32 [00:04<00:24, 1.08it/s] 19%|█▉ | 6/32 [00:05<00:23, 1.09it/s] 22%|██▏ | 7/32 [00:06<00:23, 1.08it/s] 25%|██▌ | 8/32 [00:07<00:21, 1.09it/s] 28%|██▊ | 9/32 [00:08<00:20, 1.10it/s] 31%|███▏ | 10/32 [00:09<00:20, 1.09it/s] 34%|███▍ | 11/32 [00:10<00:19, 1.09it/s] 38%|███▊ | 12/32 [00:11<00:18, 1.11it/s] 41%|████ | 13/32 [00:11<00:16, 1.12it/s] 44%|████▍ | 14/32 [00:12<00:15, 1.14it/s] 47%|████▋ | 15/32 [00:13<00:14, 1.14it/s] 50%|█████ | 16/32 [00:14<00:13, 1.16it/s] 53%|█████▎ | 17/32 [00:15<00:13, 1.12it/s] 56%|█████▋ | 18/32 [00:16<00:12, 1.13it/s] 59%|█████▉ | 19/32 [00:17<00:11, 1.14it/s] 62%|██████▎ | 20/32 [00:18<00:10, 1.10it/s] 66%|██████▌ | 21/32 [00:19<00:09, 1.12it/s] 69%|██████▉ | 22/32 [00:19<00:08, 1.11it/s] 72%|███████▏ | 23/32 [00:20<00:08, 1.11it/s] 75%|███████▌ | 24/32 [00:21<00:07, 1.11it/s] 78%|███████▊ | 25/32 [00:22<00:06, 1.14it/s] 81%|████████▏ | 26/32 [00:23<00:05, 1.12it/s] 84%|████████▍ | 27/32 [00:24<00:04, 1.16it/s] 88%|████████▊ | 28/32 [00:25<00:03, 1.17it/s] 91%|█████████ | 29/32 [00:26<00:02, 1.14it/s] 94%|█████████▍| 30/32 [00:26<00:01, 1.17it/s] 97%|█████████▋| 31/32 [00:27<00:00, 1.26it/s] 100%|██████████| 32/32 [00:28<00:00, 1.35it/s] 100%|██████████| 32/32 [00:28<00:00, 1.14it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:31, 1.00s/it] 6%|▋ | 2/32 [00:01<00:28, 1.05it/s] 9%|▉ | 3/32 [00:02<00:27, 1.05it/s] 12%|█▎ | 4/32 [00:03<00:26, 1.05it/s] 16%|█▌ | 5/32 [00:04<00:25, 1.07it/s] 19%|█▉ | 6/32 [00:05<00:23, 1.09it/s] 22%|██▏ | 7/32 [00:06<00:23, 1.09it/s] 25%|██▌ | 8/32 [00:07<00:22, 1.08it/s] 28%|██▊ | 9/32 [00:08<00:21, 1.08it/s] 31%|███▏ | 10/32 [00:09<00:20, 1.09it/s] 34%|███▍ | 11/32 [00:10<00:19, 1.09it/s] 38%|███▊ | 12/32 [00:11<00:18, 1.09it/s] 41%|████ | 13/32 [00:12<00:17, 1.10it/s] 44%|████▍ | 14/32 [00:12<00:16, 1.12it/s] 47%|████▋ | 15/32 [00:13<00:15, 1.11it/s] 50%|█████ | 16/32 [00:14<00:14, 1.12it/s] 53%|█████▎ | 17/32 [00:15<00:13, 1.10it/s] 56%|█████▋ | 18/32 [00:16<00:12, 1.11it/s] 59%|█████▉ | 19/32 [00:17<00:11, 1.12it/s] 62%|██████▎ | 20/32 [00:18<00:10, 1.10it/s] 66%|██████▌ | 21/32 [00:19<00:09, 1.13it/s] 69%|██████▉ | 22/32 [00:20<00:08, 1.12it/s] 72%|███████▏ | 23/32 [00:20<00:07, 1.16it/s] 75%|███████▌ | 24/32 [00:21<00:07, 1.13it/s] 78%|███████▊ | 25/32 [00:22<00:06, 1.16it/s] 81%|████████▏ | 26/32 [00:23<00:05, 1.13it/s] 84%|████████▍ | 27/32 [00:24<00:04, 1.15it/s] 88%|████████▊ | 28/32 [00:25<00:03, 1.18it/s] 91%|█████████ | 29/32 [00:26<00:02, 1.17it/s] 94%|█████████▍| 30/32 [00:26<00:01, 1.17it/s] 97%|█████████▋| 31/32 [00:27<00:00, 1.24it/s] 100%|██████████| 32/32 [00:28<00:00, 1.34it/s] 100%|██████████| 32/32 [00:28<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 9.4ms Speed: 2.5ms preprocess, 9.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
tilt-shift photo of, selective focus, miniature effect, blurred background, highly detailed, vibrant, perspective control, natural Tilt Shot (Whimsically artistic), adorable extra (fluffy: 1.3) chubby miniature pika wearing an ral-highvis construction hat and jacket, dry grassland, tiny rocks, magical, macro photography, (enchanting:1.3), (luminous:1.2), (oversized flora:1.1), mystical, vibrant photography, shimmering light, dreamy, whimsical, serene, soft-focus, hyper-detailed digital art,
negative_prompt
Specify things to not see in the output
old, tired, baggy eyes, simple background, boring,large breasts, watermark, text,
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.
1030295084
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
69
cfg_scale
Scale for classifier-free guidance
7
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/a03ad1f629da464bbc15371a8656dd7a/00000-1030295084.webp
https://files.tungsten.run/uploads/7cb5fdacd50c43079d05c25cbd196bfb/00001-1030295085.webp
https://files.tungsten.run/uploads/de78cf3d044a45daa610ee9b60b2238c/00002-1030295086.webp
Finished in 192.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: tilt-shift photo of, selective focus, miniature effect, blurred background, highly detailed, vibrant, perspective control, natural Tilt Shot (Whimsically artistic), adorable extra (fluffy: 1.3) chubby miniature pika wearing an ral-highvis construction hat and jacket, dry grassland, tiny rocks, magical, macro photography, (enchanting:1.3), (luminous:1.2), (oversized flora:1.1), mystical, vibrant photography, shimmering light, dreamy, whimsical, serene, soft-focus, hyper-detailed digital art, Full negative prompt: old, tired, baggy eyes, simple background, boring,large breasts, watermark, text, 0%| | 0/69 [00:00<?, ?it/s] 1%|▏ | 1/69 [00:01<01:36, 1.42s/it] 3%|▎ | 2/69 [00:03<01:51, 1.66s/it] 4%|▍ | 3/69 [00:05<02:01, 1.83s/it] 6%|▌ | 4/69 [00:07<02:04, 1.92s/it] 7%|▋ | 5/69 [00:09<02:04, 1.94s/it] 9%|▊ | 6/69 [00:11<02:04, 1.97s/it] 10%|█ | 7/69 [00:13<02:02, 1.97s/it] 12%|█▏ | 8/69 [00:15<02:03, 2.02s/it] 13%|█▎ | 9/69 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1.65s/it] 83%|████████▎ | 57/69 [01:44<00:20, 1.70s/it] 84%|████████▍ | 58/69 [01:46<00:17, 1.63s/it] 86%|████████▌ | 59/69 [01:48<00:16, 1.65s/it] 87%|████████▋ | 60/69 [01:49<00:14, 1.58s/it] 88%|████████▊ | 61/69 [01:51<00:13, 1.65s/it] 90%|████████▉ | 62/69 [01:52<00:11, 1.59s/it] 91%|█████████▏| 63/69 [01:54<00:09, 1.65s/it] 93%|█████████▎| 64/69 [01:56<00:07, 1.60s/it] 94%|█████████▍| 65/69 [01:57<00:06, 1.57s/it] 96%|█████████▌| 66/69 [01:59<00:04, 1.61s/it] 97%|█████████▋| 67/69 [02:00<00:03, 1.55s/it] 99%|█████████▊| 68/69 [02:01<00:01, 1.38s/it] 100%|██████████| 69/69 [02:02<00:00, 1.22s/it] 100%|██████████| 69/69 [02:02<00:00, 1.78s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 162.9ms Speed: 2.6ms preprocess, 162.9ms inference, 22.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:34, 1.12s/it] 6%|▋ | 2/32 [00:02<00:29, 1.01it/s] 9%|▉ | 3/32 [00:02<00:28, 1.03it/s] 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1.16it/s] 88%|████████▊ | 28/32 [00:25<00:03, 1.17it/s] 91%|█████████ | 29/32 [00:26<00:02, 1.14it/s] 94%|█████████▍| 30/32 [00:26<00:01, 1.17it/s] 97%|█████████▋| 31/32 [00:27<00:00, 1.26it/s] 100%|██████████| 32/32 [00:28<00:00, 1.35it/s] 100%|██████████| 32/32 [00:28<00:00, 1.14it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:01<00:31, 1.00s/it] 6%|▋ | 2/32 [00:01<00:28, 1.05it/s] 9%|▉ | 3/32 [00:02<00:27, 1.05it/s] 12%|█▎ | 4/32 [00:03<00:26, 1.05it/s] 16%|█▌ | 5/32 [00:04<00:25, 1.07it/s] 19%|█▉ | 6/32 [00:05<00:23, 1.09it/s] 22%|██▏ | 7/32 [00:06<00:23, 1.09it/s] 25%|██▌ | 8/32 [00:07<00:22, 1.08it/s] 28%|██▊ | 9/32 [00:08<00:21, 1.08it/s] 31%|███▏ | 10/32 [00:09<00:20, 1.09it/s] 34%|███▍ | 11/32 [00:10<00:19, 1.09it/s] 38%|███▊ | 12/32 [00:11<00:18, 1.09it/s] 41%|████ | 13/32 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640x480 (no detections), 9.4ms Speed: 2.5ms preprocess, 9.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.