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BeMyPony
BeMyPony

BeMyPony

68 stars
Version: v2.5
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/29b1dac6318744c8afdd676cc5bb28a8/00000-1235058356.webp
https://files.tungsten.run/uploads/9e46e49875f64f86af6e88ea558f1547/00001-1235058357.webp
https://files.tungsten.run/uploads/a7dfcea618624f82a4d5348da3578a25/00002-1235058358.webp
This example was created by sparks
Finished in 193.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: ((score_9), score_8_up, score_7_up), score_6_up, score_4_up, score_5_up, 1girl, A woman with emerald green hair woven with wildflowers and vines. Her eyes are the color of moss, flecked with flecks of sunlight filtering through leaves. She wears a gown of woven leaves and vines, adorned with dewdrops that sparkle like diamonds. Emphasize the delicate details of the leaves and vines, and the way they intertwine with her hair., <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: ugly, bad, horror, 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:04<04:23, 4.47s/it] 3%|▎ | 2/60 [00:07<03:30, 3.63s/it] 5%|▌ | 3/60 [00:10<03:11, 3.37s/it] 7%|▋ | 4/60 [00:13<03:01, 3.24s/it] 8%|▊ | 5/60 [00:16<02:54, 3.17s/it] 10%|█ | 6/60 [00:19<02:49, 3.13s/it] 12%|█▏ | 7/60 [00:22<02:44, 3.10s/it] 13%|█▎ | 8/60 [00:25<02:40, 3.08s/it] 15%|█▌ | 9/60 [00:28<02:36, 3.07s/it] 17%|█▋ | 10/60 [00:31<02:32, 3.06s/it] 18%|█▊ | 11/60 [00:34<02:29, 3.05s/it] 20%|██ | 12/60 [00:37<02:25, 3.04s/it] 22%|██▏ | 13/60 [00:40<02:22, 3.04s/it] 23%|██▎ | 14/60 [00:43<02:19, 3.03s/it] 25%|██▌ | 15/60 [00:46<02:16, 3.03s/it] 27%|██▋ | 16/60 [00:50<02:13, 3.03s/it] 28%|██▊ | 17/60 [00:53<02:10, 3.03s/it] 30%|███ | 18/60 [00:56<02:07, 3.03s/it] 32%|███▏ | 19/60 [00:59<02:04, 3.03s/it] 33%|███▎ | 20/60 [01:02<02:01, 3.03s/it] 35%|███▌ | 21/60 [01:05<01:58, 3.03s/it] 37%|███▋ | 22/60 [01:08<01:55, 3.03s/it] 38%|███▊ | 23/60 [01:11<01:52, 3.04s/it] 40%|████ | 24/60 [01:14<01:49, 3.04s/it] 42%|████▏ | 25/60 [01:17<01:46, 3.05s/it] 43%|████▎ | 26/60 [01:20<01:44, 3.07s/it] 45%|████▌ | 27/60 [01:23<01:41, 3.07s/it] 47%|████▋ | 28/60 [01:26<01:38, 3.08s/it] 48%|████▊ | 29/60 [01:29<01:35, 3.09s/it] 50%|█████ | 30/60 [01:32<01:32, 3.10s/it] 52%|█████▏ | 31/60 [01:35<01:29, 3.10s/it] 53%|█████▎ | 32/60 [01:39<01:27, 3.11s/it] 55%|█████▌ | 33/60 [01:42<01:24, 3.11s/it] 57%|█████▋ | 34/60 [01:45<01:20, 3.11s/it] 58%|█████▊ | 35/60 [01:48<01:17, 3.12s/it] 60%|██████ | 36/60 [01:51<01:14, 3.12s/it] 62%|██████▏ | 37/60 [01:54<01:11, 3.12s/it] 63%|██████▎ | 38/60 [01:57<01:08, 3.12s/it] 65%|██████▌ | 39/60 [02:00<01:05, 3.12s/it] 67%|██████▋ | 40/60 [02:04<01:02, 3.12s/it] 68%|██████▊ | 41/60 [02:07<00:59, 3.12s/it] 70%|███████ | 42/60 [02:10<00:56, 3.11s/it] 72%|███████▏ | 43/60 [02:13<00:52, 3.11s/it] 73%|███████▎ | 44/60 [02:16<00:49, 3.10s/it] 75%|███████▌ | 45/60 [02:19<00:46, 3.10s/it] 77%|███████▋ | 46/60 [02:22<00:43, 3.10s/it] 78%|███████▊ | 47/60 [02:25<00:40, 3.10s/it] 80%|████████ | 48/60 [02:28<00:37, 3.10s/it] 82%|████████▏ | 49/60 [02:31<00:34, 3.10s/it] 83%|████████▎ | 50/60 [02:35<00:30, 3.10s/it] 85%|████████▌ | 51/60 [02:38<00:27, 3.10s/it] 87%|████████▋ | 52/60 [02:41<00:24, 3.09s/it] 88%|████████▊ | 53/60 [02:44<00:21, 3.10s/it] 90%|█████████ | 54/60 [02:47<00:18, 3.09s/it] 92%|█████████▏| 55/60 [02:50<00:15, 3.09s/it] 93%|█████████▎| 56/60 [02:53<00:12, 3.09s/it] 95%|█████████▌| 57/60 [02:56<00:09, 3.09s/it] 97%|█████████▋| 58/60 [02:59<00:06, 3.09s/it] 98%|█████████▊| 59/60 [03:02<00:03, 3.09s/it] 100%|██████████| 60/60 [03:04<00:00, 2.63s/it] 100%|██████████| 60/60 [03:04<00:00, 3.07s/it] Decoding latents in cuda:0... done in 2.86s 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/29b1dac6318744c8afdd676cc5bb28a8/00000-1235058356.webp
https://files.tungsten.run/uploads/9e46e49875f64f86af6e88ea558f1547/00001-1235058357.webp
https://files.tungsten.run/uploads/a7dfcea618624f82a4d5348da3578a25/00002-1235058358.webp
This example was created by sparks
Finished in 193.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: ((score_9), score_8_up, score_7_up), score_6_up, score_4_up, score_5_up, 1girl, A woman with emerald green hair woven with wildflowers and vines. Her eyes are the color of moss, flecked with flecks of sunlight filtering through leaves. She wears a gown of woven leaves and vines, adorned with dewdrops that sparkle like diamonds. Emphasize the delicate details of the leaves and vines, and the way they intertwine with her hair., <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: ugly, bad, horror, 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:04<04:23, 4.47s/it] 3%|▎ | 2/60 [00:07<03:30, 3.63s/it] 5%|▌ | 3/60 [00:10<03:11, 3.37s/it] 7%|▋ | 4/60 [00:13<03:01, 3.24s/it] 8%|▊ | 5/60 [00:16<02:54, 3.17s/it] 10%|█ | 6/60 [00:19<02:49, 3.13s/it] 12%|█▏ | 7/60 [00:22<02:44, 3.10s/it] 13%|█▎ | 8/60 [00:25<02:40, 3.08s/it] 15%|█▌ | 9/60 [00:28<02:36, 3.07s/it] 17%|█▋ | 10/60 [00:31<02:32, 3.06s/it] 18%|█▊ | 11/60 [00:34<02:29, 3.05s/it] 20%|██ | 12/60 [00:37<02:25, 3.04s/it] 22%|██▏ | 13/60 [00:40<02:22, 3.04s/it] 23%|██▎ | 14/60 [00:43<02:19, 3.03s/it] 25%|██▌ | 15/60 [00:46<02:16, 3.03s/it] 27%|██▋ | 16/60 [00:50<02:13, 3.03s/it] 28%|██▊ | 17/60 [00:53<02:10, 3.03s/it] 30%|███ | 18/60 [00:56<02:07, 3.03s/it] 32%|███▏ | 19/60 [00:59<02:04, 3.03s/it] 33%|███▎ | 20/60 [01:02<02:01, 3.03s/it] 35%|███▌ | 21/60 [01:05<01:58, 3.03s/it] 37%|███▋ | 22/60 [01:08<01:55, 3.03s/it] 38%|███▊ | 23/60 [01:11<01:52, 3.04s/it] 40%|████ | 24/60 [01:14<01:49, 3.04s/it] 42%|████▏ | 25/60 [01:17<01:46, 3.05s/it] 43%|████▎ | 26/60 [01:20<01:44, 3.07s/it] 45%|████▌ | 27/60 [01:23<01:41, 3.07s/it] 47%|████▋ | 28/60 [01:26<01:38, 3.08s/it] 48%|████▊ | 29/60 [01:29<01:35, 3.09s/it] 50%|█████ | 30/60 [01:32<01:32, 3.10s/it] 52%|█████▏ | 31/60 [01:35<01:29, 3.10s/it] 53%|█████▎ | 32/60 [01:39<01:27, 3.11s/it] 55%|█████▌ | 33/60 [01:42<01:24, 3.11s/it] 57%|█████▋ | 34/60 [01:45<01:20, 3.11s/it] 58%|█████▊ | 35/60 [01:48<01:17, 3.12s/it] 60%|██████ | 36/60 [01:51<01:14, 3.12s/it] 62%|██████▏ | 37/60 [01:54<01:11, 3.12s/it] 63%|██████▎ | 38/60 [01:57<01:08, 3.12s/it] 65%|██████▌ | 39/60 [02:00<01:05, 3.12s/it] 67%|██████▋ | 40/60 [02:04<01:02, 3.12s/it] 68%|██████▊ | 41/60 [02:07<00:59, 3.12s/it] 70%|███████ | 42/60 [02:10<00:56, 3.11s/it] 72%|███████▏ | 43/60 [02:13<00:52, 3.11s/it] 73%|███████▎ | 44/60 [02:16<00:49, 3.10s/it] 75%|███████▌ | 45/60 [02:19<00:46, 3.10s/it] 77%|███████▋ | 46/60 [02:22<00:43, 3.10s/it] 78%|███████▊ | 47/60 [02:25<00:40, 3.10s/it] 80%|████████ | 48/60 [02:28<00:37, 3.10s/it] 82%|████████▏ | 49/60 [02:31<00:34, 3.10s/it] 83%|████████▎ | 50/60 [02:35<00:30, 3.10s/it] 85%|████████▌ | 51/60 [02:38<00:27, 3.10s/it] 87%|████████▋ | 52/60 [02:41<00:24, 3.09s/it] 88%|████████▊ | 53/60 [02:44<00:21, 3.10s/it] 90%|█████████ | 54/60 [02:47<00:18, 3.09s/it] 92%|█████████▏| 55/60 [02:50<00:15, 3.09s/it] 93%|█████████▎| 56/60 [02:53<00:12, 3.09s/it] 95%|█████████▌| 57/60 [02:56<00:09, 3.09s/it] 97%|█████████▋| 58/60 [02:59<00:06, 3.09s/it] 98%|█████████▊| 59/60 [03:02<00:03, 3.09s/it] 100%|██████████| 60/60 [03:04<00:00, 2.63s/it] 100%|██████████| 60/60 [03:04<00:00, 3.07s/it] Decoding latents in cuda:0... done in 2.86s Move latents to cpu... done in 0.03s