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Living Room with Socapunk - Tech
socapunk-tech:v1.0
sparks
sparks
·
Feb 19
344
Input
prompt
Specify things to see in the output
street scene of a (Post-Apocalyptic:1.3) living room. noon, raining. (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.
1174376053
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
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>
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/f70768d2d132452d82367a6102d035ac/00000-1174376053.webp
https://files.tungsten.run/uploads/cba56df68041477b928f77a155036e43/00001-1174376054.webp
https://files.tungsten.run/uploads/6413d603238844ad827661c2a5623182/00002-1174376055.webp
Finished in 169.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: street scene of a (Post-Apocalyptic:1.3) living room. noon, raining. (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<03:20, 4.08s/it] 4%|▍ | 2/50 [00:07<02:53, 3.61s/it] 6%|▌ | 3/50 [00:10<02:47, 3.55s/it] 8%|▊ | 4/50 [00:14<02:39, 3.48s/it] 10%|█ | 5/50 [00:17<02:34, 3.44s/it] 12%|█▏ | 6/50 [00:21<02:33, 3.50s/it] 14%|█▍ | 7/50 [00:24<02:31, 3.52s/it] 16%|█▌ | 8/50 [00:28<02:29, 3.55s/it] 18%|█▊ | 9/50 [00:31<02:22, 3.49s/it] 20%|██ | 10/50 [00:34<02:16, 3.42s/it] 22%|██▏ | 11/50 [00:38<02:11, 3.36s/it] 24%|██▍ | 12/50 [00:42<02:13, 3.53s/it] 26%|██▌ | 13/50 [00:45<02:06, 3.42s/it] 28%|██▊ | 14/50 [00:48<02:03, 3.43s/it] 30%|███ | 15/50 [00:52<01:58, 3.39s/it] 32%|███▏ | 16/50 [00:55<01:54, 3.36s/it] 34%|███▍ | 17/50 [00:58<01:49, 3.33s/it] 36%|███▌ | 18/50 [01:01<01:46, 3.33s/it] 38%|███▊ | 19/50 [01:05<01:42, 3.31s/it] 40%|████ | 20/50 [01:08<01:40, 3.34s/it] 42%|████▏ | 21/50 [01:11<01:37, 3.35s/it] 44%|████▍ | 22/50 [01:15<01:33, 3.33s/it] 46%|████▌ | 23/50 [01:18<01:29, 3.33s/it] 48%|████▊ | 24/50 [01:21<01:25, 3.30s/it] 50%|█████ | 25/50 [01:25<01:22, 3.31s/it] 52%|█████▏ | 26/50 [01:28<01:19, 3.31s/it] 54%|█████▍ | 27/50 [01:31<01:14, 3.23s/it] 56%|█████▌ | 28/50 [01:35<01:12, 3.31s/it] 58%|█████▊ | 29/50 [01:38<01:09, 3.29s/it] 60%|██████ | 30/50 [01:41<01:05, 3.27s/it] 62%|██████▏ | 31/50 [01:44<01:00, 3.21s/it] 64%|██████▍ | 32/50 [01:47<00:58, 3.24s/it] 66%|██████▌ | 33/50 [01:51<00:59, 3.50s/it] 68%|██████▊ | 34/50 [01:54<00:53, 3.35s/it] 70%|███████ | 35/50 [01:58<00:48, 3.26s/it] 72%|███████▏ | 36/50 [02:00<00:43, 3.13s/it] 74%|███████▍ | 37/50 [02:03<00:40, 3.12s/it] 76%|███████▌ | 38/50 [02:06<00:36, 3.06s/it] 78%|███████▊ | 39/50 [02:09<00:33, 3.01s/it] 80%|████████ | 40/50 [02:12<00:28, 2.90s/it] 82%|████████▏ | 41/50 [02:15<00:25, 2.85s/it] 84%|████████▍ | 42/50 [02:17<00:22, 2.82s/it] 86%|████████▌ | 43/50 [02:21<00:20, 2.92s/it] 88%|████████▊ | 44/50 [02:23<00:17, 2.85s/it] 90%|█████████ | 45/50 [02:26<00:14, 2.87s/it] 92%|█████████▏| 46/50 [02:30<00:12, 3.21s/it] 94%|█████████▍| 47/50 [02:33<00:09, 3.19s/it] 96%|█████████▌| 48/50 [02:36<00:05, 2.98s/it] 98%|█████████▊| 49/50 [02:38<00:02, 2.63s/it] 100%|██████████| 50/50 [02:39<00:00, 2.33s/it] 100%|██████████| 50/50 [02:39<00:00, 3.19s/it] Decoding latents in cuda:0... done in 2.96s Move latents to cpu... done in 0.04s Uploading outputs... Finished.
prompt
Specify things to see in the output
street scene of a (Post-Apocalyptic:1.3) living room. noon, raining. (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.
1174376053
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
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>
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/f70768d2d132452d82367a6102d035ac/00000-1174376053.webp
https://files.tungsten.run/uploads/cba56df68041477b928f77a155036e43/00001-1174376054.webp
https://files.tungsten.run/uploads/6413d603238844ad827661c2a5623182/00002-1174376055.webp
Finished in 169.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: street scene of a (Post-Apocalyptic:1.3) living room. noon, raining. (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<03:20, 4.08s/it] 4%|▍ | 2/50 [00:07<02:53, 3.61s/it] 6%|▌ | 3/50 [00:10<02:47, 3.55s/it] 8%|▊ | 4/50 [00:14<02:39, 3.48s/it] 10%|█ | 5/50 [00:17<02:34, 3.44s/it] 12%|█▏ | 6/50 [00:21<02:33, 3.50s/it] 14%|█▍ | 7/50 [00:24<02:31, 3.52s/it] 16%|█▌ | 8/50 [00:28<02:29, 3.55s/it] 18%|█▊ | 9/50 [00:31<02:22, 3.49s/it] 20%|██ | 10/50 [00:34<02:16, 3.42s/it] 22%|██▏ | 11/50 [00:38<02:11, 3.36s/it] 24%|██▍ | 12/50 [00:42<02:13, 3.53s/it] 26%|██▌ | 13/50 [00:45<02:06, 3.42s/it] 28%|██▊ | 14/50 [00:48<02:03, 3.43s/it] 30%|███ | 15/50 [00:52<01:58, 3.39s/it] 32%|███▏ | 16/50 [00:55<01:54, 3.36s/it] 34%|███▍ | 17/50 [00:58<01:49, 3.33s/it] 36%|███▌ | 18/50 [01:01<01:46, 3.33s/it] 38%|███▊ | 19/50 [01:05<01:42, 3.31s/it] 40%|████ | 20/50 [01:08<01:40, 3.34s/it] 42%|████▏ | 21/50 [01:11<01:37, 3.35s/it] 44%|████▍ | 22/50 [01:15<01:33, 3.33s/it] 46%|████▌ | 23/50 [01:18<01:29, 3.33s/it] 48%|████▊ | 24/50 [01:21<01:25, 3.30s/it] 50%|█████ | 25/50 [01:25<01:22, 3.31s/it] 52%|█████▏ | 26/50 [01:28<01:19, 3.31s/it] 54%|█████▍ | 27/50 [01:31<01:14, 3.23s/it] 56%|█████▌ | 28/50 [01:35<01:12, 3.31s/it] 58%|█████▊ | 29/50 [01:38<01:09, 3.29s/it] 60%|██████ | 30/50 [01:41<01:05, 3.27s/it] 62%|██████▏ | 31/50 [01:44<01:00, 3.21s/it] 64%|██████▍ | 32/50 [01:47<00:58, 3.24s/it] 66%|██████▌ | 33/50 [01:51<00:59, 3.50s/it] 68%|██████▊ | 34/50 [01:54<00:53, 3.35s/it] 70%|███████ | 35/50 [01:58<00:48, 3.26s/it] 72%|███████▏ | 36/50 [02:00<00:43, 3.13s/it] 74%|███████▍ | 37/50 [02:03<00:40, 3.12s/it] 76%|███████▌ | 38/50 [02:06<00:36, 3.06s/it] 78%|███████▊ | 39/50 [02:09<00:33, 3.01s/it] 80%|████████ | 40/50 [02:12<00:28, 2.90s/it] 82%|████████▏ | 41/50 [02:15<00:25, 2.85s/it] 84%|████████▍ | 42/50 [02:17<00:22, 2.82s/it] 86%|████████▌ | 43/50 [02:21<00:20, 2.92s/it] 88%|████████▊ | 44/50 [02:23<00:17, 2.85s/it] 90%|█████████ | 45/50 [02:26<00:14, 2.87s/it] 92%|█████████▏| 46/50 [02:30<00:12, 3.21s/it] 94%|█████████▍| 47/50 [02:33<00:09, 3.19s/it] 96%|█████████▌| 48/50 [02:36<00:05, 2.98s/it] 98%|█████████▊| 49/50 [02:38<00:02, 2.63s/it] 100%|██████████| 50/50 [02:39<00:00, 2.33s/it] 100%|██████████| 50/50 [02:39<00:00, 3.19s/it] Decoding latents in cuda:0... done in 2.96s Move latents to cpu... done in 0.04s Uploading outputs... Finished.