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Enchanting Lily XL
Enchanting Lily XL

Enchanting Lily XL

7 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/cc518d9290f746dbbcb5776dbb89a8bf/00000-2798245345.webp
https://files.tungsten.run/uploads/de7c8d5efa69412f8b729286bfdc3b92/00001-2798245346.webp
https://files.tungsten.run/uploads/bda301009a324b0497984d348dae747e/00002-2798245347.webp
This example was created by sparks
Finished in 191.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: beautiful detailed portrait, strict mature woman, purple suit, black tie, beautiful detailed face, (displeased expression:1.2), holding a file folder, in a neat office, best quality, ultra-detailed, sharp intricate details, elaborate, cinematic, natural lighting, soft shadows, lumen reflections, <lora:add-detail-xl:1.0> Full negative prompt: Bad quality, worst quality, out of frame, cropped, blurry, ugly, deformed, mutated, bad proportions, bad anatomy, extra limbs, missing limbs, extra fingers, missing fingers, 6 fingers, 4 fingers, 3 arms, 4 arms, 3 legs, 4 legs, extra digit, fewer digits, deformed limbs, deformed fingers, mutated limbs, mutated fingers, ugly limbs, ugly fingers, writing, text, watermark, username, signature, comics, speech bubble, several images, collage, monochrome, smudge, artifact 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:03<03:45, 3.83s/it] 3%|▎ | 2/60 [00:07<03:28, 3.59s/it] 5%|▌ | 3/60 [00:10<03:10, 3.33s/it] 7%|▋ | 4/60 [00:13<03:07, 3.35s/it] 8%|▊ | 5/60 [00:16<03:01, 3.30s/it] 10%|█ | 6/60 [00:20<03:00, 3.34s/it] 12%|█▏ | 7/60 [00:23<02:55, 3.31s/it] 13%|█▎ | 8/60 [00:26<02:47, 3.22s/it] 15%|█▌ | 9/60 [00:29<02:41, 3.17s/it] 17%|█▋ | 10/60 [00:32<02:40, 3.21s/it] 18%|█▊ | 11/60 [00:36<02:36, 3.20s/it] 20%|██ | 12/60 [00:39<02:36, 3.25s/it] 22%|██▏ | 13/60 [00:42<02:34, 3.29s/it] 23%|██▎ | 14/60 [00:46<02:30, 3.27s/it] 25%|██▌ | 15/60 [00:49<02:25, 3.24s/it] 27%|██▋ | 16/60 [00:52<02:24, 3.28s/it] 28%|██▊ | 17/60 [00:55<02:21, 3.28s/it] 30%|███ | 18/60 [00:59<02:19, 3.32s/it] 32%|███▏ | 19/60 [01:02<02:15, 3.31s/it] 33%|███▎ | 20/60 [01:05<02:13, 3.33s/it] 35%|███▌ | 21/60 [01:09<02:16, 3.51s/it] 37%|███▋ | 22/60 [01:14<02:28, 3.90s/it] 38%|███▊ | 23/60 [01:18<02:19, 3.78s/it] 40%|████ | 24/60 [01:21<02:11, 3.64s/it] 42%|████▏ | 25/60 [01:24<02:01, 3.48s/it] 43%|████▎ | 26/60 [01:27<01:56, 3.42s/it] 45%|████▌ | 27/60 [01:31<01:50, 3.35s/it] 47%|████▋ | 28/60 [01:33<01:42, 3.20s/it] 48%|████▊ | 29/60 [01:36<01:35, 3.08s/it] 50%|█████ | 30/60 [01:39<01:32, 3.07s/it] 52%|█████▏ | 31/60 [01:43<01:30, 3.11s/it] 53%|█████▎ | 32/60 [01:45<01:24, 3.02s/it] 55%|█████▌ | 33/60 [01:49<01:24, 3.11s/it] 57%|█████▋ | 34/60 [01:52<01:19, 3.06s/it] 58%|█████▊ | 35/60 [01:55<01:16, 3.05s/it] 60%|██████ | 36/60 [01:58<01:15, 3.14s/it] 62%|██████▏ | 37/60 [02:01<01:10, 3.08s/it] 63%|██████▎ | 38/60 [02:04<01:05, 2.99s/it] 65%|██████▌ | 39/60 [02:07<01:05, 3.10s/it] 67%|██████▋ | 40/60 [02:10<01:01, 3.08s/it] 68%|██████▊ | 41/60 [02:13<00:57, 3.05s/it] 70%|███████ | 42/60 [02:16<00:53, 2.98s/it] 72%|███████▏ | 43/60 [02:19<00:50, 2.95s/it] 73%|███████▎ | 44/60 [02:21<00:45, 2.83s/it] 75%|███████▌ | 45/60 [02:24<00:41, 2.74s/it] 77%|███████▋ | 46/60 [02:27<00:39, 2.85s/it] 78%|███████▊ | 47/60 [02:30<00:36, 2.82s/it] 80%|████████ | 48/60 [02:33<00:34, 2.84s/it] 82%|████████▏ | 49/60 [02:35<00:30, 2.80s/it] 83%|████████▎ | 50/60 [02:38<00:27, 2.78s/it] 85%|████████▌ | 51/60 [02:41<00:25, 2.88s/it] 87%|████████▋ | 52/60 [02:44<00:21, 2.74s/it] 88%|████████▊ | 53/60 [02:46<00:19, 2.80s/it] 90%|█████████ | 54/60 [02:49<00:16, 2.72s/it] 92%|█████████▏| 55/60 [02:52<00:13, 2.77s/it] 93%|█████████▎| 56/60 [02:55<00:11, 2.76s/it] 95%|█████████▌| 57/60 [02:58<00:08, 2.86s/it] 97%|█████████▋| 58/60 [03:00<00:05, 2.73s/it] 98%|█████████▊| 59/60 [03:02<00:02, 2.45s/it] 100%|██████████| 60/60 [03:03<00:00, 2.17s/it] 100%|██████████| 60/60 [03:03<00:00, 3.07s/it] Decoding latents in cuda:0... done in 2.89s 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/cc518d9290f746dbbcb5776dbb89a8bf/00000-2798245345.webp
https://files.tungsten.run/uploads/de7c8d5efa69412f8b729286bfdc3b92/00001-2798245346.webp
https://files.tungsten.run/uploads/bda301009a324b0497984d348dae747e/00002-2798245347.webp
This example was created by sparks
Finished in 191.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: beautiful detailed portrait, strict mature woman, purple suit, black tie, beautiful detailed face, (displeased expression:1.2), holding a file folder, in a neat office, best quality, ultra-detailed, sharp intricate details, elaborate, cinematic, natural lighting, soft shadows, lumen reflections, <lora:add-detail-xl:1.0> Full negative prompt: Bad quality, worst quality, out of frame, cropped, blurry, ugly, deformed, mutated, bad proportions, bad anatomy, extra limbs, missing limbs, extra fingers, missing fingers, 6 fingers, 4 fingers, 3 arms, 4 arms, 3 legs, 4 legs, extra digit, fewer digits, deformed limbs, deformed fingers, mutated limbs, mutated fingers, ugly limbs, ugly fingers, writing, text, watermark, username, signature, comics, speech bubble, several images, collage, monochrome, smudge, artifact 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:03<03:45, 3.83s/it] 3%|▎ | 2/60 [00:07<03:28, 3.59s/it] 5%|▌ | 3/60 [00:10<03:10, 3.33s/it] 7%|▋ | 4/60 [00:13<03:07, 3.35s/it] 8%|▊ | 5/60 [00:16<03:01, 3.30s/it] 10%|█ | 6/60 [00:20<03:00, 3.34s/it] 12%|█▏ | 7/60 [00:23<02:55, 3.31s/it] 13%|█▎ | 8/60 [00:26<02:47, 3.22s/it] 15%|█▌ | 9/60 [00:29<02:41, 3.17s/it] 17%|█▋ | 10/60 [00:32<02:40, 3.21s/it] 18%|█▊ | 11/60 [00:36<02:36, 3.20s/it] 20%|██ | 12/60 [00:39<02:36, 3.25s/it] 22%|██▏ | 13/60 [00:42<02:34, 3.29s/it] 23%|██▎ | 14/60 [00:46<02:30, 3.27s/it] 25%|██▌ | 15/60 [00:49<02:25, 3.24s/it] 27%|██▋ | 16/60 [00:52<02:24, 3.28s/it] 28%|██▊ | 17/60 [00:55<02:21, 3.28s/it] 30%|███ | 18/60 [00:59<02:19, 3.32s/it] 32%|███▏ | 19/60 [01:02<02:15, 3.31s/it] 33%|███▎ | 20/60 [01:05<02:13, 3.33s/it] 35%|███▌ | 21/60 [01:09<02:16, 3.51s/it] 37%|███▋ | 22/60 [01:14<02:28, 3.90s/it] 38%|███▊ | 23/60 [01:18<02:19, 3.78s/it] 40%|████ | 24/60 [01:21<02:11, 3.64s/it] 42%|████▏ | 25/60 [01:24<02:01, 3.48s/it] 43%|████▎ | 26/60 [01:27<01:56, 3.42s/it] 45%|████▌ | 27/60 [01:31<01:50, 3.35s/it] 47%|████▋ | 28/60 [01:33<01:42, 3.20s/it] 48%|████▊ | 29/60 [01:36<01:35, 3.08s/it] 50%|█████ | 30/60 [01:39<01:32, 3.07s/it] 52%|█████▏ | 31/60 [01:43<01:30, 3.11s/it] 53%|█████▎ | 32/60 [01:45<01:24, 3.02s/it] 55%|█████▌ | 33/60 [01:49<01:24, 3.11s/it] 57%|█████▋ | 34/60 [01:52<01:19, 3.06s/it] 58%|█████▊ | 35/60 [01:55<01:16, 3.05s/it] 60%|██████ | 36/60 [01:58<01:15, 3.14s/it] 62%|██████▏ | 37/60 [02:01<01:10, 3.08s/it] 63%|██████▎ | 38/60 [02:04<01:05, 2.99s/it] 65%|██████▌ | 39/60 [02:07<01:05, 3.10s/it] 67%|██████▋ | 40/60 [02:10<01:01, 3.08s/it] 68%|██████▊ | 41/60 [02:13<00:57, 3.05s/it] 70%|███████ | 42/60 [02:16<00:53, 2.98s/it] 72%|███████▏ | 43/60 [02:19<00:50, 2.95s/it] 73%|███████▎ | 44/60 [02:21<00:45, 2.83s/it] 75%|███████▌ | 45/60 [02:24<00:41, 2.74s/it] 77%|███████▋ | 46/60 [02:27<00:39, 2.85s/it] 78%|███████▊ | 47/60 [02:30<00:36, 2.82s/it] 80%|████████ | 48/60 [02:33<00:34, 2.84s/it] 82%|████████▏ | 49/60 [02:35<00:30, 2.80s/it] 83%|████████▎ | 50/60 [02:38<00:27, 2.78s/it] 85%|████████▌ | 51/60 [02:41<00:25, 2.88s/it] 87%|████████▋ | 52/60 [02:44<00:21, 2.74s/it] 88%|████████▊ | 53/60 [02:46<00:19, 2.80s/it] 90%|█████████ | 54/60 [02:49<00:16, 2.72s/it] 92%|█████████▏| 55/60 [02:52<00:13, 2.77s/it] 93%|█████████▎| 56/60 [02:55<00:11, 2.76s/it] 95%|█████████▌| 57/60 [02:58<00:08, 2.86s/it] 97%|█████████▋| 58/60 [03:00<00:05, 2.73s/it] 98%|█████████▊| 59/60 [03:02<00:02, 2.45s/it] 100%|██████████| 60/60 [03:03<00:00, 2.17s/it] 100%|██████████| 60/60 [03:03<00:00, 3.07s/it] Decoding latents in cuda:0... done in 2.89s Move latents to cpu... done in 0.04s