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Post-Apocalyptic City with Socapunk - Tech
socapunk-tech:v1.0
sparks
sparks
·
Feb 19
339
Input
prompt
Specify things to see in the output
landscape scene of a (Post-Apocalyptic:1.3) city. evening, bright. (intricate sharp details:1.5), ultra high res, <lora:EnvyBetterHiresFixXL01:1>
negative_prompt
Specify things to not see in the output
(watermark:1.5), deviantart, ugly, tiling, glossy, blurry, blurred, grainy, signature, draft, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch
num_outputs
Number of output images
3
width
Output image width
1280
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
3351454680
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
50
cfg_scale
Scale for classifier-free guidance
3
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>
EnvyBetterHiresFixXL01.safetensors
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/0e7f466b847b4109899028752fcd85b5/00000-3351454680.webp
https://files.tungsten.run/uploads/27b28840f9a741ec98ab17fe33f11093/00001-3351454681.webp
https://files.tungsten.run/uploads/459ae05fe57a4eaf94b3c869c559ed8b/00002-3351454682.webp
Finished in 168.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: landscape scene of a (Post-Apocalyptic:1.3) city. evening, bright. (intricate sharp details:1.5), ultra high res, <lora:EnvyBetterHiresFixXL01:1>, <lora:add-detail-xl:1.0> Full negative prompt: (watermark:1.5), deviantart, ugly, tiling, glossy, blurry, blurred, grainy, signature, draft, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:04<03:22, 4.13s/it] 4%|▍ | 2/50 [00:07<02:55, 3.65s/it] 6%|▌ | 3/50 [00:11<02:49, 3.61s/it] 8%|▊ | 4/50 [00:14<02:41, 3.51s/it] 10%|█ | 5/50 [00:17<02:36, 3.47s/it] 12%|█▏ | 6/50 [00:21<02:35, 3.54s/it] 14%|█▍ | 7/50 [00:25<02:33, 3.57s/it] 16%|█▌ | 8/50 [00:28<02:31, 3.61s/it] 18%|█▊ | 9/50 [00:32<02:25, 3.55s/it] 20%|██ | 10/50 [00:35<02:19, 3.49s/it] 22%|██▏ | 11/50 [00:38<02:13, 3.42s/it] 24%|██▍ | 12/50 [00:42<02:14, 3.54s/it] 26%|██▌ | 13/50 [00:45<02:07, 3.44s/it] 28%|██▊ | 14/50 [00:49<02:04, 3.45s/it] 30%|███ | 15/50 [00:52<01:59, 3.40s/it] 32%|███▏ | 16/50 [00:55<01:55, 3.40s/it] 34%|███▍ | 17/50 [00:59<01:50, 3.36s/it] 36%|███▌ | 18/50 [01:02<01:47, 3.35s/it] 38%|███▊ | 19/50 [01:05<01:43, 3.34s/it] 40%|████ | 20/50 [01:09<01:40, 3.35s/it] 42%|████▏ | 21/50 [01:12<01:37, 3.36s/it] 44%|████▍ | 22/50 [01:15<01:32, 3.31s/it] 46%|████▌ | 23/50 [01:19<01:29, 3.33s/it] 48%|████▊ | 24/50 [01:22<01:26, 3.33s/it] 50%|█████ | 25/50 [01:25<01:23, 3.34s/it] 52%|█████▏ | 26/50 [01:29<01:19, 3.32s/it] 54%|█████▍ | 27/50 [01:32<01:14, 3.23s/it] 56%|█████▌ | 28/50 [01:35<01:12, 3.29s/it] 58%|█████▊ | 29/50 [01:38<01:08, 3.28s/it] 60%|██████ | 30/50 [01:42<01:05, 3.28s/it] 62%|██████▏ | 31/50 [01:45<01:01, 3.22s/it] 64%|██████▍ | 32/50 [01:48<00:57, 3.17s/it] 66%|██████▌ | 33/50 [01:51<00:55, 3.29s/it] 68%|██████▊ | 34/50 [01:54<00:51, 3.21s/it] 70%|███████ | 35/50 [01:57<00:47, 3.16s/it] 72%|███████▏ | 36/50 [02:00<00:43, 3.08s/it] 74%|███████▍ | 37/50 [02:04<00:40, 3.12s/it] 76%|███████▌ | 38/50 [02:07<00:36, 3.08s/it] 78%|███████▊ | 39/50 [02:09<00:33, 3.02s/it] 80%|████████ | 40/50 [02:12<00:29, 2.94s/it] 82%|████████▏ | 41/50 [02:15<00:26, 2.91s/it] 84%|████████▍ | 42/50 [02:18<00:23, 2.91s/it] 86%|████████▌ | 43/50 [02:21<00:20, 2.99s/it] 88%|████████▊ | 44/50 [02:24<00:17, 2.91s/it] 90%|█████████ | 45/50 [02:27<00:14, 2.91s/it] 92%|█████████▏| 46/50 [02:30<00:11, 2.90s/it] 94%|█████████▍| 47/50 [02:33<00:08, 2.94s/it] 96%|█████████▌| 48/50 [02:35<00:05, 2.80s/it] 98%|█████████▊| 49/50 [02:37<00:02, 2.51s/it] 100%|██████████| 50/50 [02:39<00:00, 2.25s/it] 100%|██████████| 50/50 [02:39<00:00, 3.18s/it] Decoding latents in cuda:0... done in 3.0s Move latents to cpu... done in 0.04s Uploading outputs... Finished.
prompt
Specify things to see in the output
landscape scene of a (Post-Apocalyptic:1.3) city. evening, bright. (intricate sharp details:1.5), ultra high res, <lora:EnvyBetterHiresFixXL01:1>
negative_prompt
Specify things to not see in the output
(watermark:1.5), deviantart, ugly, tiling, glossy, blurry, blurred, grainy, signature, draft, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch
num_outputs
Number of output images
3
width
Output image width
1280
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
3351454680
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
50
cfg_scale
Scale for classifier-free guidance
3
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>
EnvyBetterHiresFixXL01.safetensors
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/0e7f466b847b4109899028752fcd85b5/00000-3351454680.webp
https://files.tungsten.run/uploads/27b28840f9a741ec98ab17fe33f11093/00001-3351454681.webp
https://files.tungsten.run/uploads/459ae05fe57a4eaf94b3c869c559ed8b/00002-3351454682.webp
Finished in 168.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: landscape scene of a (Post-Apocalyptic:1.3) city. evening, bright. (intricate sharp details:1.5), ultra high res, <lora:EnvyBetterHiresFixXL01:1>, <lora:add-detail-xl:1.0> Full negative prompt: (watermark:1.5), deviantart, ugly, tiling, glossy, blurry, blurred, grainy, signature, draft, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:04<03:22, 4.13s/it] 4%|▍ | 2/50 [00:07<02:55, 3.65s/it] 6%|▌ | 3/50 [00:11<02:49, 3.61s/it] 8%|▊ | 4/50 [00:14<02:41, 3.51s/it] 10%|█ | 5/50 [00:17<02:36, 3.47s/it] 12%|█▏ | 6/50 [00:21<02:35, 3.54s/it] 14%|█▍ | 7/50 [00:25<02:33, 3.57s/it] 16%|█▌ | 8/50 [00:28<02:31, 3.61s/it] 18%|█▊ | 9/50 [00:32<02:25, 3.55s/it] 20%|██ | 10/50 [00:35<02:19, 3.49s/it] 22%|██▏ | 11/50 [00:38<02:13, 3.42s/it] 24%|██▍ | 12/50 [00:42<02:14, 3.54s/it] 26%|██▌ | 13/50 [00:45<02:07, 3.44s/it] 28%|██▊ | 14/50 [00:49<02:04, 3.45s/it] 30%|███ | 15/50 [00:52<01:59, 3.40s/it] 32%|███▏ | 16/50 [00:55<01:55, 3.40s/it] 34%|███▍ | 17/50 [00:59<01:50, 3.36s/it] 36%|███▌ | 18/50 [01:02<01:47, 3.35s/it] 38%|███▊ | 19/50 [01:05<01:43, 3.34s/it] 40%|████ | 20/50 [01:09<01:40, 3.35s/it] 42%|████▏ | 21/50 [01:12<01:37, 3.36s/it] 44%|████▍ | 22/50 [01:15<01:32, 3.31s/it] 46%|████▌ | 23/50 [01:19<01:29, 3.33s/it] 48%|████▊ | 24/50 [01:22<01:26, 3.33s/it] 50%|█████ | 25/50 [01:25<01:23, 3.34s/it] 52%|█████▏ | 26/50 [01:29<01:19, 3.32s/it] 54%|█████▍ | 27/50 [01:32<01:14, 3.23s/it] 56%|█████▌ | 28/50 [01:35<01:12, 3.29s/it] 58%|█████▊ | 29/50 [01:38<01:08, 3.28s/it] 60%|██████ | 30/50 [01:42<01:05, 3.28s/it] 62%|██████▏ | 31/50 [01:45<01:01, 3.22s/it] 64%|██████▍ | 32/50 [01:48<00:57, 3.17s/it] 66%|██████▌ | 33/50 [01:51<00:55, 3.29s/it] 68%|██████▊ | 34/50 [01:54<00:51, 3.21s/it] 70%|███████ | 35/50 [01:57<00:47, 3.16s/it] 72%|███████▏ | 36/50 [02:00<00:43, 3.08s/it] 74%|███████▍ | 37/50 [02:04<00:40, 3.12s/it] 76%|███████▌ | 38/50 [02:07<00:36, 3.08s/it] 78%|███████▊ | 39/50 [02:09<00:33, 3.02s/it] 80%|████████ | 40/50 [02:12<00:29, 2.94s/it] 82%|████████▏ | 41/50 [02:15<00:26, 2.91s/it] 84%|████████▍ | 42/50 [02:18<00:23, 2.91s/it] 86%|████████▌ | 43/50 [02:21<00:20, 2.99s/it] 88%|████████▊ | 44/50 [02:24<00:17, 2.91s/it] 90%|█████████ | 45/50 [02:27<00:14, 2.91s/it] 92%|█████████▏| 46/50 [02:30<00:11, 2.90s/it] 94%|█████████▍| 47/50 [02:33<00:08, 2.94s/it] 96%|█████████▌| 48/50 [02:35<00:05, 2.80s/it] 98%|█████████▊| 49/50 [02:37<00:02, 2.51s/it] 100%|██████████| 50/50 [02:39<00:00, 2.25s/it] 100%|██████████| 50/50 [02:39<00:00, 3.18s/it] Decoding latents in cuda:0... done in 3.0s Move latents to cpu... done in 0.04s Uploading outputs... Finished.