Version: v1.0W
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/75a886624f9a42199a6b38279d730f03/00000-3614399676.webp
https://files.tungsten.run/uploads/49fcedda919f4e1f8ff17b307a8c8229/00001-3614399677.webp
https://files.tungsten.run/uploads/b0b7d736406748c4b0295f39414b45bb/00002-3614399678.webp
This example was created by sparks
Finished in 68.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Urban skyline, bustling streets, neon lights, midnight energy, cosmopolitan allure, cityscape, sunrise glow, urban awakening, iconic landmarks, bustling traffic, dynamic detail, lifelike portrayal, towering skyscrapers, bustling clouds, vibrant atmosphere., <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: no reflection, dull water, bad water description, weird, distorted, bad location, sketch, bad resolution, blurry, deformed, tilted, bad trees, deformed trees, deformed land, deformed water, too much trees, floating trees, weird trees 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<01:10, 3.73s/it] 10%|█ | 2/20 [00:06<00:57, 3.20s/it] 15%|█▌ | 3/20 [00:09<00:51, 3.03s/it] 20%|██ | 4/20 [00:12<00:47, 2.95s/it] 25%|██▌ | 5/20 [00:15<00:43, 2.91s/it] 30%|███ | 6/20 [00:17<00:40, 2.88s/it] 35%|███▌ | 7/20 [00:20<00:37, 2.87s/it] 40%|████ | 8/20 [00:23<00:34, 2.86s/it] 45%|████▌ | 9/20 [00:26<00:31, 2.85s/it] 50%|█████ | 10/20 [00:29<00:28, 2.85s/it] 55%|█████▌ | 11/20 [00:32<00:25, 2.85s/it] 60%|██████ | 12/20 [00:34<00:22, 2.85s/it] 65%|██████▌ | 13/20 [00:37<00:19, 2.85s/it] 70%|███████ | 14/20 [00:40<00:17, 2.85s/it] 75%|███████▌ | 15/20 [00:43<00:14, 2.85s/it] 80%|████████ | 16/20 [00:46<00:11, 2.85s/it] 85%|████████▌ | 17/20 [00:49<00:08, 2.86s/it] 90%|█████████ | 18/20 [00:52<00:05, 2.86s/it] 95%|█████████▌| 19/20 [00:54<00:02, 2.86s/it] 100%|██████████| 20/20 [00:57<00:00, 2.86s/it] 100%|██████████| 20/20 [00:57<00:00, 2.89s/it] Decoding latents in cuda:0... done in 5.17s Move latents to cpu... done in 0.03s
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/75a886624f9a42199a6b38279d730f03/00000-3614399676.webp
https://files.tungsten.run/uploads/49fcedda919f4e1f8ff17b307a8c8229/00001-3614399677.webp
https://files.tungsten.run/uploads/b0b7d736406748c4b0295f39414b45bb/00002-3614399678.webp
This example was created by sparks
Finished in 68.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Urban skyline, bustling streets, neon lights, midnight energy, cosmopolitan allure, cityscape, sunrise glow, urban awakening, iconic landmarks, bustling traffic, dynamic detail, lifelike portrayal, towering skyscrapers, bustling clouds, vibrant atmosphere., <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: no reflection, dull water, bad water description, weird, distorted, bad location, sketch, bad resolution, blurry, deformed, tilted, bad trees, deformed trees, deformed land, deformed water, too much trees, floating trees, weird trees 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<01:10, 3.73s/it] 10%|█ | 2/20 [00:06<00:57, 3.20s/it] 15%|█▌ | 3/20 [00:09<00:51, 3.03s/it] 20%|██ | 4/20 [00:12<00:47, 2.95s/it] 25%|██▌ | 5/20 [00:15<00:43, 2.91s/it] 30%|███ | 6/20 [00:17<00:40, 2.88s/it] 35%|███▌ | 7/20 [00:20<00:37, 2.87s/it] 40%|████ | 8/20 [00:23<00:34, 2.86s/it] 45%|████▌ | 9/20 [00:26<00:31, 2.85s/it] 50%|█████ | 10/20 [00:29<00:28, 2.85s/it] 55%|█████▌ | 11/20 [00:32<00:25, 2.85s/it] 60%|██████ | 12/20 [00:34<00:22, 2.85s/it] 65%|██████▌ | 13/20 [00:37<00:19, 2.85s/it] 70%|███████ | 14/20 [00:40<00:17, 2.85s/it] 75%|███████▌ | 15/20 [00:43<00:14, 2.85s/it] 80%|████████ | 16/20 [00:46<00:11, 2.85s/it] 85%|████████▌ | 17/20 [00:49<00:08, 2.86s/it] 90%|█████████ | 18/20 [00:52<00:05, 2.86s/it] 95%|█████████▌| 19/20 [00:54<00:02, 2.86s/it] 100%|██████████| 20/20 [00:57<00:00, 2.86s/it] 100%|██████████| 20/20 [00:57<00:00, 2.89s/it] Decoding latents in cuda:0... done in 5.17s Move latents to cpu... done in 0.03s