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Arctic Photography with Dream Diffusion XL
dream-diffusion-xl:lightning
evevalentine2017
evevalentine2017
·
Apr 14
121
Input
prompt
Specify things to see in the output
greg rutkowski cinematic photography of a full color fantasy Dungeons and Dragons masterpiece, an icy tundra with a bleak stormy blizzard hits a settlement and ocean. ((A medieval barricade-walled, squalid coastal town made of several closely-huddled roundhouses (inspired by Viking architecture) are surrounded by a wooden barricade)) beds down in the sub-zero cold and lit by vague torchlight. The windows and shuttered and the town looks like a cold, miserable place to be. ((A frozen ocean shoreline is inundated with icebergs in the foreground, with a few piers into it)), Flying seagulls, intricately detailed, sharp details, Ultra-HD-details, true to life, HDR image, High detail resolution, high detailed cloth, cinematic lighting, realistic, sharp focus, (very detailed), ((4K HQ)), depth of field, f/1.2, Leica, 8K HDR, High contrast, bokeh, realistic shadows, vignette, epic, . Eerie, unsettling, dark, spooky, suspenseful, grim, highly detailed
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
3
width
Output image width
1024
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
0.45
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.
3589280806
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
6
cfg_scale
Scale for classifier-free guidance
1
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/b8ecdc2442824c3f82bdf70b5ad81057/00000-3589280806.webp
https://files.tungsten.run/uploads/9874f456e0f24bf3a426ed57d609ab1a/00001-3589280807.webp
https://files.tungsten.run/uploads/2901c6b54d6446d99bc456b4d605ddd4/00002-3589280808.webp
Finished in 15.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: greg rutkowski cinematic photography of a full color fantasy Dungeons and Dragons masterpiece, an icy tundra with a bleak stormy blizzard hits a settlement and ocean. ((A medieval barricade-walled, squalid coastal town made of several closely-huddled roundhouses (inspired by Viking architecture) are surrounded by a wooden barricade)) beds down in the sub-zero cold and lit by vague torchlight. The windows and shuttered and the town looks like a cold, miserable place to be. ((A frozen ocean shoreline is inundated with icebergs in the foreground, with a few piers into it)), Flying seagulls, intricately detailed, sharp details, Ultra-HD-details, true to life, HDR image, High detail resolution, high detailed cloth, cinematic lighting, realistic, sharp focus, (very detailed), ((4K HQ)), depth of field, f/1.2, Leica, 8K HDR, High contrast, bokeh, realistic shadows, vignette, epic, . Eerie, unsettling, dark, spooky, suspenseful, grim, highly detailed Full negative prompt: 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:00<00:04, 1.14it/s] 33%|███▎ | 2/6 [00:01<00:03, 1.15it/s] 50%|█████ | 3/6 [00:02<00:02, 1.15it/s] 67%|██████▋ | 4/6 [00:03<00:01, 1.15it/s] 83%|████████▎ | 5/6 [00:04<00:00, 1.15it/s] 100%|██████████| 6/6 [00:05<00:00, 1.15it/s] 100%|██████████| 6/6 [00:05<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.01s 0: 480x640 (no detections), 175.4ms Speed: 3.3ms preprocess, 175.4ms inference, 10.5ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings.
prompt
Specify things to see in the output
greg rutkowski cinematic photography of a full color fantasy Dungeons and Dragons masterpiece, an icy tundra with a bleak stormy blizzard hits a settlement and ocean. ((A medieval barricade-walled, squalid coastal town made of several closely-huddled roundhouses (inspired by Viking architecture) are surrounded by a wooden barricade)) beds down in the sub-zero cold and lit by vague torchlight. The windows and shuttered and the town looks like a cold, miserable place to be. ((A frozen ocean shoreline is inundated with icebergs in the foreground, with a few piers into it)), Flying seagulls, intricately detailed, sharp details, Ultra-HD-details, true to life, HDR image, High detail resolution, high detailed cloth, cinematic lighting, realistic, sharp focus, (very detailed), ((4K HQ)), depth of field, f/1.2, Leica, 8K HDR, High contrast, bokeh, realistic shadows, vignette, epic, . Eerie, unsettling, dark, spooky, suspenseful, grim, highly detailed
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
3
width
Output image width
1024
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
0.45
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.
3589280806
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
6
cfg_scale
Scale for classifier-free guidance
1
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/b8ecdc2442824c3f82bdf70b5ad81057/00000-3589280806.webp
https://files.tungsten.run/uploads/9874f456e0f24bf3a426ed57d609ab1a/00001-3589280807.webp
https://files.tungsten.run/uploads/2901c6b54d6446d99bc456b4d605ddd4/00002-3589280808.webp
Finished in 15.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: greg rutkowski cinematic photography of a full color fantasy Dungeons and Dragons masterpiece, an icy tundra with a bleak stormy blizzard hits a settlement and ocean. ((A medieval barricade-walled, squalid coastal town made of several closely-huddled roundhouses (inspired by Viking architecture) are surrounded by a wooden barricade)) beds down in the sub-zero cold and lit by vague torchlight. The windows and shuttered and the town looks like a cold, miserable place to be. ((A frozen ocean shoreline is inundated with icebergs in the foreground, with a few piers into it)), Flying seagulls, intricately detailed, sharp details, Ultra-HD-details, true to life, HDR image, High detail resolution, high detailed cloth, cinematic lighting, realistic, sharp focus, (very detailed), ((4K HQ)), depth of field, f/1.2, Leica, 8K HDR, High contrast, bokeh, realistic shadows, vignette, epic, . Eerie, unsettling, dark, spooky, suspenseful, grim, highly detailed Full negative prompt: 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:00<00:04, 1.14it/s] 33%|███▎ | 2/6 [00:01<00:03, 1.15it/s] 50%|█████ | 3/6 [00:02<00:02, 1.15it/s] 67%|██████▋ | 4/6 [00:03<00:01, 1.15it/s] 83%|████████▎ | 5/6 [00:04<00:00, 1.15it/s] 100%|██████████| 6/6 [00:05<00:00, 1.15it/s] 100%|██████████| 6/6 [00:05<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.01s 0: 480x640 (no detections), 175.4ms Speed: 3.3ms preprocess, 175.4ms inference, 10.5ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings.