Version: v1.0
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/4db5eef506984416a71a0a2b01a7f686/00000-1131530577.webp
https://files.tungsten.run/uploads/1431824b29664fd1bcf2783196218b82/00001-1131530578.webp
https://files.tungsten.run/uploads/06450e9ca9ca4198ba2b579c39b7cac2/00002-1131530579.webp
This example was created by sparks
Finished in 223.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Mona Lisa intricate details, futuristic outfit, gorgeous, weird, serious with VR Glasses which is a plan for the design of a computer in the style of Leonardo Da Vinci, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: BeyondSDXLv3, ac_neg1, ac_neg2, (long neck:1.5) 0%| | 0/27 [00:00<?, ?it/s] 4%|▎ | 1/27 [00:07<03:22, 7.80s/it] 7%|▋ | 2/27 [00:17<03:35, 8.63s/it] 11%|█ | 3/27 [00:26<03:32, 8.84s/it] 15%|█▍ | 4/27 [00:35<03:25, 8.94s/it] 19%|█▊ | 5/27 [00:44<03:17, 8.99s/it] 22%|██▏ | 6/27 [00:52<03:05, 8.84s/it] 26%|██▌ | 7/27 [01:01<02:57, 8.88s/it] 30%|██▉ | 8/27 [01:10<02:50, 8.96s/it] 33%|███▎ | 9/27 [01:20<02:42, 9.00s/it] 37%|███▋ | 10/27 [01:28<02:29, 8.79s/it] 41%|████ | 11/27 [01:36<02:18, 8.68s/it] 44%|████▍ | 12/27 [01:45<02:10, 8.72s/it] 48%|████▊ | 13/27 [01:53<02:00, 8.58s/it] 52%|█████▏ | 14/27 [02:00<01:44, 8.07s/it] 56%|█████▌ | 15/27 [02:09<01:38, 8.17s/it] 59%|█████▉ | 16/27 [02:18<01:32, 8.42s/it] 63%|██████▎ | 17/27 [02:26<01:23, 8.33s/it] 67%|██████▋ | 18/27 [02:33<01:11, 7.98s/it] 70%|███████ | 19/27 [02:41<01:04, 8.08s/it] 74%|███████▍ | 20/27 [02:48<00:54, 7.79s/it] 78%|███████▊ | 21/27 [02:55<00:44, 7.44s/it] 81%|████████▏ | 22/27 [03:03<00:38, 7.66s/it] 85%|████████▌ | 23/27 [03:11<00:30, 7.59s/it] 89%|████████▉ | 24/27 [03:17<00:22, 7.34s/it] 93%|█████████▎| 25/27 [03:24<00:14, 7.23s/it] 96%|█████████▋| 26/27 [03:30<00:06, 6.85s/it] 100%|██████████| 27/27 [03:32<00:00, 5.43s/it] 100%|██████████| 27/27 [03:32<00:00, 7.88s/it] Decoding latents in cuda:0... done in 3.8s Move latents to cpu... done in 0.04s
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/4db5eef506984416a71a0a2b01a7f686/00000-1131530577.webp
https://files.tungsten.run/uploads/1431824b29664fd1bcf2783196218b82/00001-1131530578.webp
https://files.tungsten.run/uploads/06450e9ca9ca4198ba2b579c39b7cac2/00002-1131530579.webp
This example was created by sparks
Finished in 223.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Mona Lisa intricate details, futuristic outfit, gorgeous, weird, serious with VR Glasses which is a plan for the design of a computer in the style of Leonardo Da Vinci, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: BeyondSDXLv3, ac_neg1, ac_neg2, (long neck:1.5) 0%| | 0/27 [00:00<?, ?it/s] 4%|▎ | 1/27 [00:07<03:22, 7.80s/it] 7%|▋ | 2/27 [00:17<03:35, 8.63s/it] 11%|█ | 3/27 [00:26<03:32, 8.84s/it] 15%|█▍ | 4/27 [00:35<03:25, 8.94s/it] 19%|█▊ | 5/27 [00:44<03:17, 8.99s/it] 22%|██▏ | 6/27 [00:52<03:05, 8.84s/it] 26%|██▌ | 7/27 [01:01<02:57, 8.88s/it] 30%|██▉ | 8/27 [01:10<02:50, 8.96s/it] 33%|███▎ | 9/27 [01:20<02:42, 9.00s/it] 37%|███▋ | 10/27 [01:28<02:29, 8.79s/it] 41%|████ | 11/27 [01:36<02:18, 8.68s/it] 44%|████▍ | 12/27 [01:45<02:10, 8.72s/it] 48%|████▊ | 13/27 [01:53<02:00, 8.58s/it] 52%|█████▏ | 14/27 [02:00<01:44, 8.07s/it] 56%|█████▌ | 15/27 [02:09<01:38, 8.17s/it] 59%|█████▉ | 16/27 [02:18<01:32, 8.42s/it] 63%|██████▎ | 17/27 [02:26<01:23, 8.33s/it] 67%|██████▋ | 18/27 [02:33<01:11, 7.98s/it] 70%|███████ | 19/27 [02:41<01:04, 8.08s/it] 74%|███████▍ | 20/27 [02:48<00:54, 7.79s/it] 78%|███████▊ | 21/27 [02:55<00:44, 7.44s/it] 81%|████████▏ | 22/27 [03:03<00:38, 7.66s/it] 85%|████████▌ | 23/27 [03:11<00:30, 7.59s/it] 89%|████████▉ | 24/27 [03:17<00:22, 7.34s/it] 93%|█████████▎| 25/27 [03:24<00:14, 7.23s/it] 96%|█████████▋| 26/27 [03:30<00:06, 6.85s/it] 100%|██████████| 27/27 [03:32<00:00, 5.43s/it] 100%|██████████| 27/27 [03:32<00:00, 7.88s/it] Decoding latents in cuda:0... done in 3.8s Move latents to cpu... done in 0.04s