Young Woman with ColorfulXL v6.0
Input
prompt
Specify things to see in the output
photo of a young woman with long, wavy brown hair tied in a bun and glasses. She has a fair complexion and is wearing subtle makeup, emphasizing her eyes and lips. She is dressed in a black top. The background appears to be an urban setting with a building facade, and the sunlight casts a warm glow on her face.
negative_prompt
Specify things to not see in the output
worst quality
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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.
958885336
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
samping_steps
Number of denoising steps
34
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
1
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/66f0c56d699c484ea8bb1da625197f3f/00000-958885336.webp
https://files.tungsten.run/uploads/50fa0f5d46db4c3b8085421681971c3c/00001-958885337.webp
https://files.tungsten.run/uploads/59341d94b40f4a07a867f9b1ea69f4fd/00002-958885338.webp
Finished in 104.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: photo of a young woman with long, wavy brown hair tied in a bun and glasses. She has a fair complexion and is wearing subtle makeup, emphasizing her eyes and lips. She is dressed in a black top. The background appears to be an urban setting with a building facade, and the sunlight casts a warm glow on her face., <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: worst quality 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:02<01:24, 2.55s/it] 6%|▌ | 2/34 [00:05<01:32, 2.90s/it] 9%|▉ | 3/34 [00:09<01:36, 3.10s/it] 12%|█▏ | 4/34 [00:12<01:32, 3.09s/it] 15%|█▍ | 5/34 [00:15<01:31, 3.16s/it] 18%|█▊ | 6/34 [00:18<01:28, 3.17s/it] 21%|██ | 7/34 [00:21<01:26, 3.20s/it] 24%|██▎ | 8/34 [00:25<01:23, 3.22s/it] 26%|██▋ | 9/34 [00:28<01:18, 3.13s/it] 29%|██▉ | 10/34 [00:30<01:13, 3.06s/it] 32%|███▏ | 11/34 [00:33<01:10, 3.06s/it] 35%|███▌ | 12/34 [00:37<01:10, 3.21s/it] 38%|███▊ | 13/34 [00:40<01:06, 3.18s/it] 41%|████ | 14/34 [00:43<01:02, 3.11s/it] 44%|████▍ | 15/34 [00:46<00:57, 3.04s/it] 47%|████▋ | 16/34 [00:49<00:55, 3.09s/it] 50%|█████ | 17/34 [00:52<00:52, 3.09s/it] 53%|█████▎ | 18/34 [00:55<00:49, 3.09s/it] 56%|█████▌ | 19/34 [00:58<00:46, 3.10s/it] 59%|█████▉ | 20/34 [01:02<00:43, 3.08s/it] 62%|██████▏ | 21/34 [01:04<00:38, 3.00s/it] 65%|██████▍ | 22/34 [01:07<00:36, 3.03s/it] 68%|██████▊ | 23/34 [01:10<00:32, 2.96s/it] 71%|███████ | 24/34 [01:13<00:29, 3.00s/it] 74%|███████▎ | 25/34 [01:16<00:26, 2.94s/it] 76%|███████▋ | 26/34 [01:19<00:23, 2.89s/it] 79%|███████▉ | 27/34 [01:22<00:19, 2.84s/it] 82%|████████▏ | 28/34 [01:24<00:16, 2.83s/it] 85%|████████▌ | 29/34 [01:27<00:14, 2.88s/it] 88%|████████▊ | 30/34 [01:30<00:11, 2.89s/it] 91%|█████████ | 31/34 [01:33<00:08, 2.88s/it] 94%|█████████▍| 32/34 [01:36<00:05, 2.95s/it] 97%|█████████▋| 33/34 [01:38<00:02, 2.70s/it] 100%|██████████| 34/34 [01:40<00:00, 2.33s/it] 100%|██████████| 34/34 [01:40<00:00, 2.95s/it] Decoding latents in cuda:0...
prompt
Specify things to see in the output
photo of a young woman with long, wavy brown hair tied in a bun and glasses. She has a fair complexion and is wearing subtle makeup, emphasizing her eyes and lips. She is dressed in a black top. The background appears to be an urban setting with a building facade, and the sunlight casts a warm glow on her face.
negative_prompt
Specify things to not see in the output
worst quality
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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.
958885336
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
samping_steps
Number of denoising steps
34
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
1
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/66f0c56d699c484ea8bb1da625197f3f/00000-958885336.webp
https://files.tungsten.run/uploads/50fa0f5d46db4c3b8085421681971c3c/00001-958885337.webp
https://files.tungsten.run/uploads/59341d94b40f4a07a867f9b1ea69f4fd/00002-958885338.webp
Finished in 104.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: photo of a young woman with long, wavy brown hair tied in a bun and glasses. She has a fair complexion and is wearing subtle makeup, emphasizing her eyes and lips. She is dressed in a black top. The background appears to be an urban setting with a building facade, and the sunlight casts a warm glow on her face., <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: worst quality 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:02<01:24, 2.55s/it] 6%|▌ | 2/34 [00:05<01:32, 2.90s/it] 9%|▉ | 3/34 [00:09<01:36, 3.10s/it] 12%|█▏ | 4/34 [00:12<01:32, 3.09s/it] 15%|█▍ | 5/34 [00:15<01:31, 3.16s/it] 18%|█▊ | 6/34 [00:18<01:28, 3.17s/it] 21%|██ | 7/34 [00:21<01:26, 3.20s/it] 24%|██▎ | 8/34 [00:25<01:23, 3.22s/it] 26%|██▋ | 9/34 [00:28<01:18, 3.13s/it] 29%|██▉ | 10/34 [00:30<01:13, 3.06s/it] 32%|███▏ | 11/34 [00:33<01:10, 3.06s/it] 35%|███▌ | 12/34 [00:37<01:10, 3.21s/it] 38%|███▊ | 13/34 [00:40<01:06, 3.18s/it] 41%|████ | 14/34 [00:43<01:02, 3.11s/it] 44%|████▍ | 15/34 [00:46<00:57, 3.04s/it] 47%|████▋ | 16/34 [00:49<00:55, 3.09s/it] 50%|█████ | 17/34 [00:52<00:52, 3.09s/it] 53%|█████▎ | 18/34 [00:55<00:49, 3.09s/it] 56%|█████▌ | 19/34 [00:58<00:46, 3.10s/it] 59%|█████▉ | 20/34 [01:02<00:43, 3.08s/it] 62%|██████▏ | 21/34 [01:04<00:38, 3.00s/it] 65%|██████▍ | 22/34 [01:07<00:36, 3.03s/it] 68%|██████▊ | 23/34 [01:10<00:32, 2.96s/it] 71%|███████ | 24/34 [01:13<00:29, 3.00s/it] 74%|███████▎ | 25/34 [01:16<00:26, 2.94s/it] 76%|███████▋ | 26/34 [01:19<00:23, 2.89s/it] 79%|███████▉ | 27/34 [01:22<00:19, 2.84s/it] 82%|████████▏ | 28/34 [01:24<00:16, 2.83s/it] 85%|████████▌ | 29/34 [01:27<00:14, 2.88s/it] 88%|████████▊ | 30/34 [01:30<00:11, 2.89s/it] 91%|█████████ | 31/34 [01:33<00:08, 2.88s/it] 94%|█████████▍| 32/34 [01:36<00:05, 2.95s/it] 97%|█████████▋| 33/34 [01:38<00:02, 2.70s/it] 100%|██████████| 34/34 [01:40<00:00, 2.33s/it] 100%|██████████| 34/34 [01:40<00:00, 2.95s/it] Decoding latents in cuda:0...