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Flower Nymph with BeMyPony v2.5
BeMyPony:v2.5
sparks
sparks
·
Jun 10
8
Input
prompt
Specify things to see in the output
((score_9), score_8_up, score_7_up), score_6_up, score_4_up, score_5_up, 1girl, An anime-style closeup portrait of a flower nymph with vibrant green hair woven with blooming roses and lilies. Her eyes sparkle with the joy of nature, and a mischievous grin plays on her lips. She wears a dress made entirely of vibrant flower petals, each one meticulously detailed. Emphasize the close connection between the heroine and the natural world.
negative_prompt
Specify things to not see in the output
ugly, bad, horror,
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1235058365
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
Restart
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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.
false
Output
https://files.tungsten.run/uploads/dc6c084d34894bd0aeee62668282b0a8/00000-1235058365.webp
https://files.tungsten.run/uploads/22e80f8787d640b9a3d38bcb970b8fd3/00001-1235058366.webp
https://files.tungsten.run/uploads/fa6eabcd972e4e90856d754ccc764747/00002-1235058367.webp
Finished in 188.3 seconds
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, An anime-style closeup portrait of a flower nymph with vibrant green hair woven with blooming roses and lilies. Her eyes sparkle with the joy of nature, and a mischievous grin plays on her lips. She wears a dress made entirely of vibrant flower petals, each one meticulously detailed. Emphasize the close connection between the heroine and the natural world., <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 [00:03<03:03, 3.12s/it] 3%|▎ | 2/60 [00:06<03:01, 3.13s/it] 5%|▌ | 3/60 [00:09<02:58, 3.14s/it] 7%|▋ | 4/60 [00:12<02:56, 3.15s/it] 8%|▊ | 5/60 [00:15<02:53, 3.16s/it] 10%|█ | 6/60 [00:18<02:50, 3.16s/it] 12%|█▏ | 7/60 [00:22<02:47, 3.15s/it] 13%|█▎ | 8/60 [00:25<02:43, 3.14s/it] 15%|█▌ | 9/60 [00:28<02:39, 3.13s/it] 17%|█▋ | 10/60 [00:31<02:35, 3.12s/it] 18%|█▊ | 11/60 [00:34<02:32, 3.10s/it] 20%|██ | 12/60 [00:37<02:28, 3.09s/it] 22%|██▏ | 13/60 [00:40<02:25, 3.09s/it] 23%|██▎ | 14/60 [00:43<02:21, 3.08s/it] 25%|██▌ | 15/60 [00:46<02:18, 3.08s/it] 27%|██▋ | 16/60 [00:49<02:15, 3.08s/it] 28%|██▊ | 17/60 [00:52<02:12, 3.07s/it] 30%|███ | 18/60 [00:55<02:08, 3.07s/it] 32%|███▏ | 19/60 [00:58<02:05, 3.06s/it] 33%|███▎ | 20/60 [01:02<02:02, 3.06s/it] 35%|███▌ | 21/60 [01:05<01:59, 3.06s/it] 37%|███▋ | 22/60 [01:08<01:56, 3.06s/it] 38%|███▊ | 23/60 [01:11<01:53, 3.06s/it] 40%|████ | 24/60 [01:14<01:50, 3.06s/it] 42%|████▏ | 25/60 [01:17<01:47, 3.07s/it] 43%|████▎ | 26/60 [01:20<01:44, 3.07s/it] 45%|████▌ | 27/60 [01:23<01:41, 3.08s/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, 3.09s/it] 52%|█████▏ | 31/60 [01:35<01:29, 3.10s/it] 53%|█████▎ | 32/60 [01:39<01:26, 3.10s/it] 55%|█████▌ | 33/60 [01:42<01:23, 3.11s/it] 57%|█████▋ | 34/60 [01:45<01:20, 3.11s/it] 58%|█████▊ | 35/60 [01:48<01:17, 3.11s/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 [02:03<01:02, 3.12s/it] 68%|██████▊ | 41/60 [02:07<00:59, 3.12s/it] 70%|███████ | 42/60 [02:10<00:56, 3.12s/it] 72%|███████▏ | 43/60 [02:13<00:53, 3.12s/it] 73%|███████▎ | 44/60 [02:16<00:49, 3.12s/it] 75%|███████▌ | 45/60 [02:19<00:46, 3.11s/it] 77%|███████▋ | 46/60 [02:22<00:43, 3.11s/it] 78%|███████▊ | 47/60 [02:25<00:40, 3.11s/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, 3.09s/it] 85%|████████▌ | 51/60 [02:38<00:27, 3.09s/it] 87%|████████▋ | 52/60 [02:41<00:24, 3.09s/it] 88%|████████▊ | 53/60 [02:44<00:21, 3.09s/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
((score_9), score_8_up, score_7_up), score_6_up, score_4_up, score_5_up, 1girl, An anime-style closeup portrait of a flower nymph with vibrant green hair woven with blooming roses and lilies. Her eyes sparkle with the joy of nature, and a mischievous grin plays on her lips. She wears a dress made entirely of vibrant flower petals, each one meticulously detailed. Emphasize the close connection between the heroine and the natural world.
negative_prompt
Specify things to not see in the output
ugly, bad, horror,
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1235058365
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
Restart
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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.
false
https://files.tungsten.run/uploads/dc6c084d34894bd0aeee62668282b0a8/00000-1235058365.webp
https://files.tungsten.run/uploads/22e80f8787d640b9a3d38bcb970b8fd3/00001-1235058366.webp
https://files.tungsten.run/uploads/fa6eabcd972e4e90856d754ccc764747/00002-1235058367.webp
Finished in 188.3 seconds
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, An anime-style closeup portrait of a flower nymph with vibrant green hair woven with blooming roses and lilies. Her eyes sparkle with the joy of nature, and a mischievous grin plays on her lips. She wears a dress made entirely of vibrant flower petals, each one meticulously detailed. Emphasize the close connection between the heroine and the natural world., <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 [00:03<03:03, 3.12s/it] 3%|▎ | 2/60 [00:06<03:01, 3.13s/it] 5%|▌ | 3/60 [00:09<02:58, 3.14s/it] 7%|▋ | 4/60 [00:12<02:56, 3.15s/it] 8%|▊ | 5/60 [00:15<02:53, 3.16s/it] 10%|█ | 6/60 [00:18<02:50, 3.16s/it] 12%|█▏ | 7/60 [00:22<02:47, 3.15s/it] 13%|█▎ | 8/60 [00:25<02:43, 3.14s/it] 15%|█▌ | 9/60 [00:28<02:39, 3.13s/it] 17%|█▋ | 10/60 [00:31<02:35, 3.12s/it] 18%|█▊ | 11/60 [00:34<02:32, 3.10s/it] 20%|██ | 12/60 [00:37<02:28, 3.09s/it] 22%|██▏ | 13/60 [00:40<02:25, 3.09s/it] 23%|██▎ | 14/60 [00:43<02:21, 3.08s/it] 25%|██▌ | 15/60 [00:46<02:18, 3.08s/it] 27%|██▋ | 16/60 [00:49<02:15, 3.08s/it] 28%|██▊ | 17/60 [00:52<02:12, 3.07s/it] 30%|███ | 18/60 [00:55<02:08, 3.07s/it] 32%|███▏ | 19/60 [00:58<02:05, 3.06s/it] 33%|███▎ | 20/60 [01:02<02:02, 3.06s/it] 35%|███▌ | 21/60 [01:05<01:59, 3.06s/it] 37%|███▋ | 22/60 [01:08<01:56, 3.06s/it] 38%|███▊ | 23/60 [01:11<01:53, 3.06s/it] 40%|████ | 24/60 [01:14<01:50, 3.06s/it] 42%|████▏ | 25/60 [01:17<01:47, 3.07s/it] 43%|████▎ | 26/60 [01:20<01:44, 3.07s/it] 45%|████▌ | 27/60 [01:23<01:41, 3.08s/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, 3.09s/it] 52%|█████▏ | 31/60 [01:35<01:29, 3.10s/it] 53%|█████▎ | 32/60 [01:39<01:26, 3.10s/it] 55%|█████▌ | 33/60 [01:42<01:23, 3.11s/it] 57%|█████▋ | 34/60 [01:45<01:20, 3.11s/it] 58%|█████▊ | 35/60 [01:48<01:17, 3.11s/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 [02:03<01:02, 3.12s/it] 68%|██████▊ | 41/60 [02:07<00:59, 3.12s/it] 70%|███████ | 42/60 [02:10<00:56, 3.12s/it] 72%|███████▏ | 43/60 [02:13<00:53, 3.12s/it] 73%|███████▎ | 44/60 [02:16<00:49, 3.12s/it] 75%|███████▌ | 45/60 [02:19<00:46, 3.11s/it] 77%|███████▋ | 46/60 [02:22<00:43, 3.11s/it] 78%|███████▊ | 47/60 [02:25<00:40, 3.11s/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, 3.09s/it] 85%|████████▌ | 51/60 [02:38<00:27, 3.09s/it] 87%|████████▋ | 52/60 [02:41<00:24, 3.09s/it] 88%|████████▊ | 53/60 [02:44<00:21, 3.09s/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