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Futuristic Kitchen with DigitalAF-XLP v1.0
DigitalAF-XLP:v1.0
sparks
sparks
·
Jun 29
6
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, a sleek, futuristic kitchen with stainless steel countertops, glossy white cabinets, under-cabinet LED lighting, and a large, central island with a black marble top and high-tech appliances
negative_prompt
Specify things to not see in the output
text, watermark, cgi, 3d, render, painting, blurry, pixelated, low quality, deformed, bad anatomy, muscular female,
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
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
0.4
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.
1794310401
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
25
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/27217e39aac14e8f888f973e98adc31a/00000-1794310401.webp
https://files.tungsten.run/uploads/9df770756c8f4e8ca43a45ce7a58d67b/00001-1794310402.webp
https://files.tungsten.run/uploads/e0a4c0f756cb455cb2a0d5d31c1b81b9/00002-1794310403.webp
Finished in 39.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, a sleek, futuristic kitchen with stainless steel countertops, glossy white cabinets, under-cabinet LED lighting, and a large, central island with a black marble top and high-tech appliances, <lora:add-detail-xl:1.0> Full negative prompt: text, watermark, cgi, 3d, render, painting, blurry, pixelated, low quality, deformed, bad anatomy, muscular female, 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:02<00:53, 2.23s/it] 8%|▊ | 2/25 [00:03<00:34, 1.50s/it] 12%|█▏ | 3/25 [00:04<00:27, 1.26s/it] 16%|█▌ | 4/25 [00:05<00:24, 1.15s/it] 20%|██ | 5/25 [00:06<00:21, 1.09s/it] 24%|██▍ | 6/25 [00:07<00:19, 1.05s/it] 28%|██▊ | 7/25 [00:08<00:18, 1.03s/it] 32%|███▏ | 8/25 [00:09<00:17, 1.01s/it] 36%|███▌ | 9/25 [00:10<00:16, 1.00s/it] 40%|████ | 10/25 [00:11<00:14, 1.00it/s] 44%|████▍ | 11/25 [00:12<00:13, 1.01it/s] 48%|████▊ | 12/25 [00:13<00:12, 1.01it/s] 52%|█████▏ | 13/25 [00:14<00:11, 1.01it/s] 56%|█████▌ | 14/25 [00:14<00:10, 1.02it/s] 60%|██████ | 15/25 [00:15<00:09, 1.02it/s] 64%|██████▍ | 16/25 [00:16<00:08, 1.02it/s] 68%|██████▊ | 17/25 [00:17<00:07, 1.02it/s] 72%|███████▏ | 18/25 [00:18<00:06, 1.01it/s] 76%|███████▌ | 19/25 [00:19<00:05, 1.02it/s] 80%|████████ | 20/25 [00:20<00:04, 1.02it/s] 84%|████████▍ | 21/25 [00:21<00:03, 1.02it/s] 88%|████████▊ | 22/25 [00:22<00:02, 1.02it/s] 92%|█████████▏| 23/25 [00:23<00:01, 1.02it/s] 96%|█████████▌| 24/25 [00:24<00:00, 1.02it/s] 100%|██████████| 25/25 [00:25<00:00, 1.02it/s] 100%|██████████| 25/25 [00:25<00:00, 1.03s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, a sleek, futuristic kitchen with stainless steel countertops, glossy white cabinets, under-cabinet LED lighting, and a large, central island with a black marble top and high-tech appliances
negative_prompt
Specify things to not see in the output
text, watermark, cgi, 3d, render, painting, blurry, pixelated, low quality, deformed, bad anatomy, muscular female,
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
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
0.4
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.
1794310401
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
25
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/27217e39aac14e8f888f973e98adc31a/00000-1794310401.webp
https://files.tungsten.run/uploads/9df770756c8f4e8ca43a45ce7a58d67b/00001-1794310402.webp
https://files.tungsten.run/uploads/e0a4c0f756cb455cb2a0d5d31c1b81b9/00002-1794310403.webp
Finished in 39.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, a sleek, futuristic kitchen with stainless steel countertops, glossy white cabinets, under-cabinet LED lighting, and a large, central island with a black marble top and high-tech appliances, <lora:add-detail-xl:1.0> Full negative prompt: text, watermark, cgi, 3d, render, painting, blurry, pixelated, low quality, deformed, bad anatomy, muscular female, 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:02<00:53, 2.23s/it] 8%|▊ | 2/25 [00:03<00:34, 1.50s/it] 12%|█▏ | 3/25 [00:04<00:27, 1.26s/it] 16%|█▌ | 4/25 [00:05<00:24, 1.15s/it] 20%|██ | 5/25 [00:06<00:21, 1.09s/it] 24%|██▍ | 6/25 [00:07<00:19, 1.05s/it] 28%|██▊ | 7/25 [00:08<00:18, 1.03s/it] 32%|███▏ | 8/25 [00:09<00:17, 1.01s/it] 36%|███▌ | 9/25 [00:10<00:16, 1.00s/it] 40%|████ | 10/25 [00:11<00:14, 1.00it/s] 44%|████▍ | 11/25 [00:12<00:13, 1.01it/s] 48%|████▊ | 12/25 [00:13<00:12, 1.01it/s] 52%|█████▏ | 13/25 [00:14<00:11, 1.01it/s] 56%|█████▌ | 14/25 [00:14<00:10, 1.02it/s] 60%|██████ | 15/25 [00:15<00:09, 1.02it/s] 64%|██████▍ | 16/25 [00:16<00:08, 1.02it/s] 68%|██████▊ | 17/25 [00:17<00:07, 1.02it/s] 72%|███████▏ | 18/25 [00:18<00:06, 1.01it/s] 76%|███████▌ | 19/25 [00:19<00:05, 1.02it/s] 80%|████████ | 20/25 [00:20<00:04, 1.02it/s] 84%|████████▍ | 21/25 [00:21<00:03, 1.02it/s] 88%|████████▊ | 22/25 [00:22<00:02, 1.02it/s] 92%|█████████▏| 23/25 [00:23<00:01, 1.02it/s] 96%|█████████▌| 24/25 [00:24<00:00, 1.02it/s] 100%|██████████| 25/25 [00:25<00:00, 1.02it/s] 100%|██████████| 25/25 [00:25<00:00, 1.03s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s