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Hello Jugger
Hello Jugger

Hello Jugger

5 stars
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/d992b22c892f4c209790dda913d962e0/00000-3735580415.webp
https://files.tungsten.run/uploads/11c3e2e7909242f3bd0bf9b7692dd24c/00001-3735580416.webp
https://files.tungsten.run/uploads/1277bf97ad9c4ef88b01d5ac670e6d73/00002-3735580417.webp
This example was created by sparks
Finished in 180.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic film still old man laughing at a goose, . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: BeyondBetaSDXLv4, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:03<03:06, 3.16s/it] 3%|▎ | 2/60 [00:06<03:05, 3.19s/it] 5%|▌ | 3/60 [00:09<02:54, 3.06s/it] 7%|▋ | 4/60 [00:12<02:53, 3.11s/it] 8%|▊ | 5/60 [00:15<02:50, 3.09s/it] 10%|█ | 6/60 [00:18<02:49, 3.14s/it] 12%|█▏ | 7/60 [00:21<02:46, 3.13s/it] 13%|█▎ | 8/60 [00:24<02:37, 3.02s/it] 15%|█▌ | 9/60 [00:27<02:32, 2.99s/it] 17%|█▋ | 10/60 [00:30<02:31, 3.04s/it] 18%|█▊ | 11/60 [00:33<02:28, 3.04s/it] 20%|██ | 12/60 [00:36<02:27, 3.07s/it] 22%|██▏ | 13/60 [00:40<02:26, 3.11s/it] 23%|██▎ | 14/60 [00:43<02:22, 3.10s/it] 25%|██▌ | 15/60 [00:46<02:18, 3.07s/it] 27%|██▋ | 16/60 [00:49<02:16, 3.10s/it] 28%|██▊ | 17/60 [00:52<02:13, 3.10s/it] 30%|███ | 18/60 [00:55<02:11, 3.14s/it] 32%|███▏ | 19/60 [00:58<02:07, 3.11s/it] 33%|███▎ | 20/60 [01:01<02:05, 3.14s/it] 35%|███▌ | 21/60 [01:04<02:00, 3.08s/it] 37%|███▋ | 22/60 [01:08<01:58, 3.11s/it] 38%|███▊ | 23/60 [01:11<01:53, 3.08s/it] 40%|████ | 24/60 [01:14<01:51, 3.09s/it] 42%|████▏ | 25/60 [01:17<01:46, 3.06s/it] 43%|████▎ | 26/60 [01:20<01:45, 3.10s/it] 45%|████▌ | 27/60 [01:23<01:41, 3.08s/it] 47%|████▋ | 28/60 [01:26<01:34, 2.95s/it] 48%|████▊ | 29/60 [01:28<01:29, 2.88s/it] 50%|█████ | 30/60 [01:31<01:27, 2.91s/it] 52%|█████▏ | 31/60 [01:34<01:25, 2.94s/it] 53%|█████▎ | 32/60 [01:37<01:20, 2.87s/it] 55%|█████▌ | 33/60 [01:40<01:19, 2.96s/it] 57%|█████▋ | 34/60 [01:43<01:15, 2.92s/it] 58%|█████▊ | 35/60 [01:46<01:12, 2.89s/it] 60%|██████ | 36/60 [01:49<01:11, 2.97s/it] 62%|██████▏ | 37/60 [01:52<01:07, 2.93s/it] 63%|██████▎ | 38/60 [01:54<01:03, 2.86s/it] 65%|██████▌ | 39/60 [01:58<01:02, 2.97s/it] 67%|██████▋ | 40/60 [02:01<00:59, 2.97s/it] 68%|██████▊ | 41/60 [02:04<00:56, 2.95s/it] 70%|███████ | 42/60 [02:06<00:51, 2.88s/it] 72%|███████▏ | 43/60 [02:09<00:48, 2.86s/it] 73%|███████▎ | 44/60 [02:12<00:43, 2.74s/it] 75%|███████▌ | 45/60 [02:14<00:39, 2.65s/it] 77%|███████▋ | 46/60 [02:17<00:38, 2.72s/it] 78%|███████▊ | 47/60 [02:20<00:35, 2.70s/it] 80%|████████ | 48/60 [02:22<00:32, 2.70s/it] 82%|████████▏ | 49/60 [02:25<00:29, 2.69s/it] 83%|████████▎ | 50/60 [02:28<00:26, 2.68s/it] 85%|████████▌ | 51/60 [02:31<00:24, 2.76s/it] 87%|████████▋ | 52/60 [02:33<00:21, 2.63s/it] 88%|████████▊ | 53/60 [02:36<00:18, 2.68s/it] 90%|█████████ | 54/60 [02:38<00:15, 2.61s/it] 92%|█████████▏| 55/60 [02:41<00:13, 2.66s/it] 93%|█████████▎| 56/60 [02:43<00:10, 2.65s/it] 95%|█████████▌| 57/60 [02:46<00:08, 2.73s/it] 97%|█████████▋| 58/60 [02:49<00:05, 2.62s/it] 98%|█████████▊| 59/60 [02:51<00:02, 2.37s/it] 100%|██████████| 60/60 [02:52<00:00, 2.11s/it] 100%|██████████| 60/60 [02:52<00:00, 2.88s/it] Decoding latents in cuda:0... done in 2.79s Move latents to cpu... done in 0.02s
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/d992b22c892f4c209790dda913d962e0/00000-3735580415.webp
https://files.tungsten.run/uploads/11c3e2e7909242f3bd0bf9b7692dd24c/00001-3735580416.webp
https://files.tungsten.run/uploads/1277bf97ad9c4ef88b01d5ac670e6d73/00002-3735580417.webp
This example was created by sparks
Finished in 180.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic film still old man laughing at a goose, . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: BeyondBetaSDXLv4, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:03<03:06, 3.16s/it] 3%|▎ | 2/60 [00:06<03:05, 3.19s/it] 5%|▌ | 3/60 [00:09<02:54, 3.06s/it] 7%|▋ | 4/60 [00:12<02:53, 3.11s/it] 8%|▊ | 5/60 [00:15<02:50, 3.09s/it] 10%|█ | 6/60 [00:18<02:49, 3.14s/it] 12%|█▏ | 7/60 [00:21<02:46, 3.13s/it] 13%|█▎ | 8/60 [00:24<02:37, 3.02s/it] 15%|█▌ | 9/60 [00:27<02:32, 2.99s/it] 17%|█▋ | 10/60 [00:30<02:31, 3.04s/it] 18%|█▊ | 11/60 [00:33<02:28, 3.04s/it] 20%|██ | 12/60 [00:36<02:27, 3.07s/it] 22%|██▏ | 13/60 [00:40<02:26, 3.11s/it] 23%|██▎ | 14/60 [00:43<02:22, 3.10s/it] 25%|██▌ | 15/60 [00:46<02:18, 3.07s/it] 27%|██▋ | 16/60 [00:49<02:16, 3.10s/it] 28%|██▊ | 17/60 [00:52<02:13, 3.10s/it] 30%|███ | 18/60 [00:55<02:11, 3.14s/it] 32%|███▏ | 19/60 [00:58<02:07, 3.11s/it] 33%|███▎ | 20/60 [01:01<02:05, 3.14s/it] 35%|███▌ | 21/60 [01:04<02:00, 3.08s/it] 37%|███▋ | 22/60 [01:08<01:58, 3.11s/it] 38%|███▊ | 23/60 [01:11<01:53, 3.08s/it] 40%|████ | 24/60 [01:14<01:51, 3.09s/it] 42%|████▏ | 25/60 [01:17<01:46, 3.06s/it] 43%|████▎ | 26/60 [01:20<01:45, 3.10s/it] 45%|████▌ | 27/60 [01:23<01:41, 3.08s/it] 47%|████▋ | 28/60 [01:26<01:34, 2.95s/it] 48%|████▊ | 29/60 [01:28<01:29, 2.88s/it] 50%|█████ | 30/60 [01:31<01:27, 2.91s/it] 52%|█████▏ | 31/60 [01:34<01:25, 2.94s/it] 53%|█████▎ | 32/60 [01:37<01:20, 2.87s/it] 55%|█████▌ | 33/60 [01:40<01:19, 2.96s/it] 57%|█████▋ | 34/60 [01:43<01:15, 2.92s/it] 58%|█████▊ | 35/60 [01:46<01:12, 2.89s/it] 60%|██████ | 36/60 [01:49<01:11, 2.97s/it] 62%|██████▏ | 37/60 [01:52<01:07, 2.93s/it] 63%|██████▎ | 38/60 [01:54<01:03, 2.86s/it] 65%|██████▌ | 39/60 [01:58<01:02, 2.97s/it] 67%|██████▋ | 40/60 [02:01<00:59, 2.97s/it] 68%|██████▊ | 41/60 [02:04<00:56, 2.95s/it] 70%|███████ | 42/60 [02:06<00:51, 2.88s/it] 72%|███████▏ | 43/60 [02:09<00:48, 2.86s/it] 73%|███████▎ | 44/60 [02:12<00:43, 2.74s/it] 75%|███████▌ | 45/60 [02:14<00:39, 2.65s/it] 77%|███████▋ | 46/60 [02:17<00:38, 2.72s/it] 78%|███████▊ | 47/60 [02:20<00:35, 2.70s/it] 80%|████████ | 48/60 [02:22<00:32, 2.70s/it] 82%|████████▏ | 49/60 [02:25<00:29, 2.69s/it] 83%|████████▎ | 50/60 [02:28<00:26, 2.68s/it] 85%|████████▌ | 51/60 [02:31<00:24, 2.76s/it] 87%|████████▋ | 52/60 [02:33<00:21, 2.63s/it] 88%|████████▊ | 53/60 [02:36<00:18, 2.68s/it] 90%|█████████ | 54/60 [02:38<00:15, 2.61s/it] 92%|█████████▏| 55/60 [02:41<00:13, 2.66s/it] 93%|█████████▎| 56/60 [02:43<00:10, 2.65s/it] 95%|█████████▌| 57/60 [02:46<00:08, 2.73s/it] 97%|█████████▋| 58/60 [02:49<00:05, 2.62s/it] 98%|█████████▊| 59/60 [02:51<00:02, 2.37s/it] 100%|██████████| 60/60 [02:52<00:00, 2.11s/it] 100%|██████████| 60/60 [02:52<00:00, 2.88s/it] Decoding latents in cuda:0... done in 2.79s Move latents to cpu... done in 0.02s