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digital-dream-xl
digital-dream-xl

digital-dream-xl

12 stars
Version: be0407f
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
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Output
https://files.tungsten.run/uploads/7faf411a049a4a39917e3f7bff08ecf1/00000-2490319157.webp
https://files.tungsten.run/uploads/6946974c8cba45608fb2f6e044566639/00001-2490319158.webp
https://files.tungsten.run/uploads/95f1372ef7994376bc9a6f997cee975d/00002-2490319159.webp
This example was created by evevalentine2017
Finished in 125.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: on the bubble, utopian city, avenue, oasis, wetland wildlife Full negative prompt: large breasts, logo, watermark, text, simple background, covered nipples, 0%| | 0/55 [00:00<?, ?it/s] 2%|▏ | 1/55 [00:01<01:22, 1.53s/it] 4%|▎ | 2/55 [00:03<01:37, 1.84s/it] 5%|▌ | 3/55 [00:05<01:40, 1.94s/it] 7%|▋ | 4/55 [00:07<01:39, 1.95s/it] 9%|▉ | 5/55 [00:09<01:40, 2.01s/it] 11%|█ | 6/55 [00:11<01:38, 2.02s/it] 13%|█▎ | 7/55 [00:13<01:38, 2.05s/it] 15%|█▍ | 8/55 [00:16<01:38, 2.10s/it] 16%|█▋ | 9/55 [00:18<01:36, 2.10s/it] 18%|█▊ | 10/55 [00:20<01:32, 2.06s/it] 20%|██ | 11/55 [00:22<01:29, 2.03s/it] 22%|██▏ | 12/55 [00:24<01:26, 2.01s/it] 24%|██▎ | 13/55 [00:26<01:25, 2.04s/it] 25%|██▌ | 14/55 [00:28<01:22, 2.02s/it] 27%|██▋ | 15/55 [00:30<01:18, 1.97s/it] 29%|██▉ | 16/55 [00:31<01:14, 1.90s/it] 31%|███ | 17/55 [00:33<01:12, 1.91s/it] 33%|███▎ | 18/55 [00:35<01:09, 1.88s/it] 35%|███▍ | 19/55 [00:37<01:09, 1.93s/it] 36%|███▋ | 20/55 [00:39<01:06, 1.90s/it] 38%|███▊ | 21/55 [00:41<01:05, 1.94s/it] 40%|████ | 22/55 [00:43<01:03, 1.92s/it] 42%|████▏ | 23/55 [00:45<01:01, 1.91s/it] 44%|████▎ | 24/55 [00:47<00:58, 1.90s/it] 45%|████▌ | 25/55 [00:49<00:57, 1.93s/it] 47%|████▋ | 26/55 [00:50<00:55, 1.92s/it] 49%|████▉ | 27/55 [00:52<00:53, 1.92s/it] 51%|█████ | 28/55 [00:54<00:51, 1.90s/it] 53%|█████▎ | 29/55 [00:56<00:48, 1.88s/it] 55%|█████▍ | 30/55 [00:58<00:46, 1.86s/it] 56%|█████▋ | 31/55 [01:00<00:45, 1.90s/it] 58%|█████▊ | 32/55 [01:02<00:42, 1.86s/it] 60%|██████ | 33/55 [01:03<00:40, 1.85s/it] 62%|██████▏ | 34/55 [01:05<00:37, 1.80s/it] 64%|██████▎ | 35/55 [01:07<00:35, 1.77s/it] 65%|██████▌ | 36/55 [01:09<00:34, 1.80s/it] 67%|██████▋ | 37/55 [01:10<00:32, 1.78s/it] 69%|██████▉ | 38/55 [01:12<00:30, 1.77s/it] 71%|███████ | 39/55 [01:14<00:28, 1.77s/it] 73%|███████▎ | 40/55 [01:15<00:25, 1.70s/it] 75%|███████▍ | 41/55 [01:17<00:24, 1.74s/it] 76%|███████▋ | 42/55 [01:19<00:22, 1.75s/it] 78%|███████▊ | 43/55 [01:21<00:20, 1.67s/it] 80%|████████ | 44/55 [01:22<00:17, 1.61s/it] 82%|████████▏ | 45/55 [01:24<00:16, 1.62s/it] 84%|████████▎ | 46/55 [01:26<00:15, 1.69s/it] 85%|████████▌ | 47/55 [01:27<00:13, 1.70s/it] 87%|████████▋ | 48/55 [01:29<00:11, 1.64s/it] 89%|████████▉ | 49/55 [01:31<00:10, 1.71s/it] 91%|█████████ | 50/55 [01:32<00:08, 1.65s/it] 93%|█████████▎| 51/55 [01:34<00:06, 1.69s/it] 95%|█████████▍| 52/55 [01:35<00:04, 1.64s/it] 96%|█████████▋| 53/55 [01:37<00:03, 1.65s/it] 98%|█████████▊| 54/55 [01:38<00:01, 1.45s/it] 100%|██████████| 55/55 [01:39<00:00, 1.30s/it] 100%|██████████| 55/55 [01:39<00:00, 1.81s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 163.3ms Speed: 2.6ms preprocess, 163.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 1 face, 8.3ms Speed: 2.4ms preprocess, 8.3ms inference, 2.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:19, 1.22it/s] 8%|▊ | 2/25 [00:01<00:16, 1.41it/s] 12%|█▏ | 3/25 [00:02<00:14, 1.48it/s] 16%|█▌ | 4/25 [00:02<00:13, 1.56it/s] 20%|██ | 5/25 [00:03<00:12, 1.60it/s] 24%|██▍ | 6/25 [00:03<00:12, 1.55it/s] 28%|██▊ | 7/25 [00:04<00:11, 1.58it/s] 32%|███▏ | 8/25 [00:05<00:10, 1.60it/s] 36%|███▌ | 9/25 [00:05<00:09, 1.61it/s] 40%|████ | 10/25 [00:06<00:08, 1.68it/s] 44%|████▍ | 11/25 [00:06<00:08, 1.63it/s] 48%|████▊ | 12/25 [00:07<00:07, 1.65it/s] 52%|█████▏ | 13/25 [00:08<00:06, 1.72it/s] 56%|█████▌ | 14/25 [00:08<00:06, 1.78it/s] 60%|██████ | 15/25 [00:09<00:05, 1.77it/s] 64%|██████▍ | 16/25 [00:09<00:05, 1.70it/s] 68%|██████▊ | 17/25 [00:10<00:04, 1.70it/s] 72%|███████▏ | 18/25 [00:10<00:04, 1.75it/s] 76%|███████▌ | 19/25 [00:11<00:03, 1.69it/s] 80%|████████ | 20/25 [00:12<00:02, 1.76it/s] 84%|████████▍ | 21/25 [00:12<00:02, 1.71it/s] 88%|████████▊ | 22/25 [00:13<00:01, 1.76it/s] 92%|█████████▏| 23/25 [00:13<00:01, 1.75it/s] 96%|█████████▌| 24/25 [00:14<00:00, 1.98it/s] 100%|██████████| 25/25 [00:14<00:00, 2.22it/s] 100%|██████████| 25/25 [00:14<00:00, 1.72it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/7faf411a049a4a39917e3f7bff08ecf1/00000-2490319157.webp
https://files.tungsten.run/uploads/6946974c8cba45608fb2f6e044566639/00001-2490319158.webp
https://files.tungsten.run/uploads/95f1372ef7994376bc9a6f997cee975d/00002-2490319159.webp
This example was created by evevalentine2017
Finished in 125.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: on the bubble, utopian city, avenue, oasis, wetland wildlife Full negative prompt: large breasts, logo, watermark, text, simple background, covered nipples, 0%| | 0/55 [00:00<?, ?it/s] 2%|▏ | 1/55 [00:01<01:22, 1.53s/it] 4%|▎ | 2/55 [00:03<01:37, 1.84s/it] 5%|▌ | 3/55 [00:05<01:40, 1.94s/it] 7%|▋ | 4/55 [00:07<01:39, 1.95s/it] 9%|▉ | 5/55 [00:09<01:40, 2.01s/it] 11%|█ | 6/55 [00:11<01:38, 2.02s/it] 13%|█▎ | 7/55 [00:13<01:38, 2.05s/it] 15%|█▍ | 8/55 [00:16<01:38, 2.10s/it] 16%|█▋ | 9/55 [00:18<01:36, 2.10s/it] 18%|█▊ | 10/55 [00:20<01:32, 2.06s/it] 20%|██ | 11/55 [00:22<01:29, 2.03s/it] 22%|██▏ | 12/55 [00:24<01:26, 2.01s/it] 24%|██▎ | 13/55 [00:26<01:25, 2.04s/it] 25%|██▌ | 14/55 [00:28<01:22, 2.02s/it] 27%|██▋ | 15/55 [00:30<01:18, 1.97s/it] 29%|██▉ | 16/55 [00:31<01:14, 1.90s/it] 31%|███ | 17/55 [00:33<01:12, 1.91s/it] 33%|███▎ | 18/55 [00:35<01:09, 1.88s/it] 35%|███▍ | 19/55 [00:37<01:09, 1.93s/it] 36%|███▋ | 20/55 [00:39<01:06, 1.90s/it] 38%|███▊ | 21/55 [00:41<01:05, 1.94s/it] 40%|████ | 22/55 [00:43<01:03, 1.92s/it] 42%|████▏ | 23/55 [00:45<01:01, 1.91s/it] 44%|████▎ | 24/55 [00:47<00:58, 1.90s/it] 45%|████▌ | 25/55 [00:49<00:57, 1.93s/it] 47%|████▋ | 26/55 [00:50<00:55, 1.92s/it] 49%|████▉ | 27/55 [00:52<00:53, 1.92s/it] 51%|█████ | 28/55 [00:54<00:51, 1.90s/it] 53%|█████▎ | 29/55 [00:56<00:48, 1.88s/it] 55%|█████▍ | 30/55 [00:58<00:46, 1.86s/it] 56%|█████▋ | 31/55 [01:00<00:45, 1.90s/it] 58%|█████▊ | 32/55 [01:02<00:42, 1.86s/it] 60%|██████ | 33/55 [01:03<00:40, 1.85s/it] 62%|██████▏ | 34/55 [01:05<00:37, 1.80s/it] 64%|██████▎ | 35/55 [01:07<00:35, 1.77s/it] 65%|██████▌ | 36/55 [01:09<00:34, 1.80s/it] 67%|██████▋ | 37/55 [01:10<00:32, 1.78s/it] 69%|██████▉ | 38/55 [01:12<00:30, 1.77s/it] 71%|███████ | 39/55 [01:14<00:28, 1.77s/it] 73%|███████▎ | 40/55 [01:15<00:25, 1.70s/it] 75%|███████▍ | 41/55 [01:17<00:24, 1.74s/it] 76%|███████▋ | 42/55 [01:19<00:22, 1.75s/it] 78%|███████▊ | 43/55 [01:21<00:20, 1.67s/it] 80%|████████ | 44/55 [01:22<00:17, 1.61s/it] 82%|████████▏ | 45/55 [01:24<00:16, 1.62s/it] 84%|████████▎ | 46/55 [01:26<00:15, 1.69s/it] 85%|████████▌ | 47/55 [01:27<00:13, 1.70s/it] 87%|████████▋ | 48/55 [01:29<00:11, 1.64s/it] 89%|████████▉ | 49/55 [01:31<00:10, 1.71s/it] 91%|█████████ | 50/55 [01:32<00:08, 1.65s/it] 93%|█████████▎| 51/55 [01:34<00:06, 1.69s/it] 95%|█████████▍| 52/55 [01:35<00:04, 1.64s/it] 96%|█████████▋| 53/55 [01:37<00:03, 1.65s/it] 98%|█████████▊| 54/55 [01:38<00:01, 1.45s/it] 100%|██████████| 55/55 [01:39<00:00, 1.30s/it] 100%|██████████| 55/55 [01:39<00:00, 1.81s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 163.3ms Speed: 2.6ms preprocess, 163.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 1 face, 8.3ms Speed: 2.4ms preprocess, 8.3ms inference, 2.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:19, 1.22it/s] 8%|▊ | 2/25 [00:01<00:16, 1.41it/s] 12%|█▏ | 3/25 [00:02<00:14, 1.48it/s] 16%|█▌ | 4/25 [00:02<00:13, 1.56it/s] 20%|██ | 5/25 [00:03<00:12, 1.60it/s] 24%|██▍ | 6/25 [00:03<00:12, 1.55it/s] 28%|██▊ | 7/25 [00:04<00:11, 1.58it/s] 32%|███▏ | 8/25 [00:05<00:10, 1.60it/s] 36%|███▌ | 9/25 [00:05<00:09, 1.61it/s] 40%|████ | 10/25 [00:06<00:08, 1.68it/s] 44%|████▍ | 11/25 [00:06<00:08, 1.63it/s] 48%|████▊ | 12/25 [00:07<00:07, 1.65it/s] 52%|█████▏ | 13/25 [00:08<00:06, 1.72it/s] 56%|█████▌ | 14/25 [00:08<00:06, 1.78it/s] 60%|██████ | 15/25 [00:09<00:05, 1.77it/s] 64%|██████▍ | 16/25 [00:09<00:05, 1.70it/s] 68%|██████▊ | 17/25 [00:10<00:04, 1.70it/s] 72%|███████▏ | 18/25 [00:10<00:04, 1.75it/s] 76%|███████▌ | 19/25 [00:11<00:03, 1.69it/s] 80%|████████ | 20/25 [00:12<00:02, 1.76it/s] 84%|████████▍ | 21/25 [00:12<00:02, 1.71it/s] 88%|████████▊ | 22/25 [00:13<00:01, 1.76it/s] 92%|█████████▏| 23/25 [00:13<00:01, 1.75it/s] 96%|█████████▌| 24/25 [00:14<00:00, 1.98it/s] 100%|██████████| 25/25 [00:14<00:00, 2.22it/s] 100%|██████████| 25/25 [00:14<00:00, 1.72it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.