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Catgirl with OneForAllPlusUltra v3DPOPony
OneForAllPlusUltra:v3DPOPony
sparks
sparks
·
Apr 25
7
Input
prompt
Specify things to see in the output
(score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_furry, lit, cutesie), cat girl, adult, dark skin, black hair, long hair, red eyes, tail with a hairy tip, held without sleeves, white locks, neon, ((cinematic light, sharp focus))
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1440
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.
0
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
DPM++ 3M SDE Exponential
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
8
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/6af94dd36c9a4882bad7948057860942/00000-0.webp
https://files.tungsten.run/uploads/1c625463e208441c80e31aa7b9e51d20/00001-1.webp
https://files.tungsten.run/uploads/566662f3deba4619a7385070b7faa651/00002-2.webp
Finished in 196.2 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_5_up, score_4_up, source_furry, lit, cutesie), cat girl, adult, dark skin, black hair, long hair, red eyes, tail with a hairy tip, held without sleeves, white locks, neon, ((cinematic light, sharp focus)), <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:04<04:01, 4.93s/it] 4%|▍ | 2/50 [00:09<03:36, 4.50s/it] 6%|▌ | 3/50 [00:13<03:29, 4.46s/it] 8%|▊ | 4/50 [00:17<03:22, 4.41s/it] 10%|█ | 5/50 [00:21<03:10, 4.23s/it] 12%|█▏ | 6/50 [00:26<03:08, 4.28s/it] 14%|█▍ | 7/50 [00:30<03:08, 4.38s/it] 16%|█▌ | 8/50 [00:35<03:06, 4.44s/it] 18%|█▊ | 9/50 [00:39<03:00, 4.40s/it] 20%|██ | 10/50 [00:43<02:55, 4.38s/it] 22%|██▏ | 11/50 [00:48<02:46, 4.27s/it] 24%|██▍ | 12/50 [00:52<02:42, 4.27s/it] 26%|██▌ | 13/50 [00:55<02:31, 4.09s/it] 28%|██▊ | 14/50 [00:59<02:26, 4.08s/it] 30%|███ | 15/50 [01:03<02:20, 4.01s/it] 32%|███▏ | 16/50 [01:07<02:14, 3.96s/it] 34%|███▍ | 17/50 [01:11<02:09, 3.92s/it] 36%|███▌ | 18/50 [01:15<02:05, 3.91s/it] 38%|███▊ | 19/50 [01:19<02:00, 3.87s/it] 40%|████ | 20/50 [01:23<01:57, 3.91s/it] 42%|████▏ | 21/50 [01:27<01:53, 3.92s/it] 44%|████▍ | 22/50 [01:30<01:48, 3.86s/it] 46%|████▌ | 23/50 [01:34<01:44, 3.87s/it] 48%|████▊ | 24/50 [01:38<01:40, 3.85s/it] 50%|█████ | 25/50 [01:42<01:37, 3.89s/it] 52%|█████▏ | 26/50 [01:46<01:32, 3.85s/it] 54%|█████▍ | 27/50 [01:49<01:26, 3.74s/it] 56%|█████▌ | 28/50 [01:53<01:23, 3.81s/it] 58%|█████▊ | 29/50 [01:57<01:19, 3.79s/it] 60%|██████ | 30/50 [02:01<01:15, 3.76s/it] 62%|██████▏ | 31/50 [02:04<01:10, 3.70s/it] 64%|██████▍ | 32/50 [02:08<01:05, 3.63s/it] 66%|██████▌ | 33/50 [02:12<01:03, 3.75s/it] 68%|██████▊ | 34/50 [02:15<00:58, 3.67s/it] 70%|███████ | 35/50 [02:19<00:54, 3.64s/it] 72%|███████▏ | 36/50 [02:22<00:49, 3.52s/it] 74%|███████▍ | 37/50 [02:26<00:46, 3.55s/it] 76%|███████▌ | 38/50 [02:29<00:42, 3.51s/it] 78%|███████▊ | 39/50 [02:33<00:38, 3.54s/it] 80%|████████ | 40/50 [02:36<00:35, 3.52s/it] 82%|████████▏ | 41/50 [02:40<00:32, 3.61s/it] 84%|████████▍ | 42/50 [02:43<00:27, 3.48s/it] 86%|████████▌ | 43/50 [02:47<00:24, 3.51s/it] 88%|████████▊ | 44/50 [02:50<00:20, 3.39s/it] 90%|█████████ | 45/50 [02:53<00:16, 3.37s/it] 92%|█████████▏| 46/50 [02:56<00:13, 3.36s/it] 94%|█████████▍| 47/50 [03:00<00:10, 3.39s/it] 96%|█████████▌| 48/50 [03:03<00:06, 3.25s/it] 98%|█████████▊| 49/50 [03:05<00:02, 2.91s/it] 100%|██████████| 50/50 [03:07<00:00, 2.61s/it] 100%|██████████| 50/50 [03:07<00:00, 3.75s/it] Decoding latents in cuda:0... done in 3.46s Move latents to cpu... done in 0.04s
prompt
Specify things to see in the output
(score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_furry, lit, cutesie), cat girl, adult, dark skin, black hair, long hair, red eyes, tail with a hairy tip, held without sleeves, white locks, neon, ((cinematic light, sharp focus))
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1440
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.
0
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
DPM++ 3M SDE Exponential
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
8
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/6af94dd36c9a4882bad7948057860942/00000-0.webp
https://files.tungsten.run/uploads/1c625463e208441c80e31aa7b9e51d20/00001-1.webp
https://files.tungsten.run/uploads/566662f3deba4619a7385070b7faa651/00002-2.webp
Finished in 196.2 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_5_up, score_4_up, source_furry, lit, cutesie), cat girl, adult, dark skin, black hair, long hair, red eyes, tail with a hairy tip, held without sleeves, white locks, neon, ((cinematic light, sharp focus)), <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:04<04:01, 4.93s/it] 4%|▍ | 2/50 [00:09<03:36, 4.50s/it] 6%|▌ | 3/50 [00:13<03:29, 4.46s/it] 8%|▊ | 4/50 [00:17<03:22, 4.41s/it] 10%|█ | 5/50 [00:21<03:10, 4.23s/it] 12%|█▏ | 6/50 [00:26<03:08, 4.28s/it] 14%|█▍ | 7/50 [00:30<03:08, 4.38s/it] 16%|█▌ | 8/50 [00:35<03:06, 4.44s/it] 18%|█▊ | 9/50 [00:39<03:00, 4.40s/it] 20%|██ | 10/50 [00:43<02:55, 4.38s/it] 22%|██▏ | 11/50 [00:48<02:46, 4.27s/it] 24%|██▍ | 12/50 [00:52<02:42, 4.27s/it] 26%|██▌ | 13/50 [00:55<02:31, 4.09s/it] 28%|██▊ | 14/50 [00:59<02:26, 4.08s/it] 30%|███ | 15/50 [01:03<02:20, 4.01s/it] 32%|███▏ | 16/50 [01:07<02:14, 3.96s/it] 34%|███▍ | 17/50 [01:11<02:09, 3.92s/it] 36%|███▌ | 18/50 [01:15<02:05, 3.91s/it] 38%|███▊ | 19/50 [01:19<02:00, 3.87s/it] 40%|████ | 20/50 [01:23<01:57, 3.91s/it] 42%|████▏ | 21/50 [01:27<01:53, 3.92s/it] 44%|████▍ | 22/50 [01:30<01:48, 3.86s/it] 46%|████▌ | 23/50 [01:34<01:44, 3.87s/it] 48%|████▊ | 24/50 [01:38<01:40, 3.85s/it] 50%|█████ | 25/50 [01:42<01:37, 3.89s/it] 52%|█████▏ | 26/50 [01:46<01:32, 3.85s/it] 54%|█████▍ | 27/50 [01:49<01:26, 3.74s/it] 56%|█████▌ | 28/50 [01:53<01:23, 3.81s/it] 58%|█████▊ | 29/50 [01:57<01:19, 3.79s/it] 60%|██████ | 30/50 [02:01<01:15, 3.76s/it] 62%|██████▏ | 31/50 [02:04<01:10, 3.70s/it] 64%|██████▍ | 32/50 [02:08<01:05, 3.63s/it] 66%|██████▌ | 33/50 [02:12<01:03, 3.75s/it] 68%|██████▊ | 34/50 [02:15<00:58, 3.67s/it] 70%|███████ | 35/50 [02:19<00:54, 3.64s/it] 72%|███████▏ | 36/50 [02:22<00:49, 3.52s/it] 74%|███████▍ | 37/50 [02:26<00:46, 3.55s/it] 76%|███████▌ | 38/50 [02:29<00:42, 3.51s/it] 78%|███████▊ | 39/50 [02:33<00:38, 3.54s/it] 80%|████████ | 40/50 [02:36<00:35, 3.52s/it] 82%|████████▏ | 41/50 [02:40<00:32, 3.61s/it] 84%|████████▍ | 42/50 [02:43<00:27, 3.48s/it] 86%|████████▌ | 43/50 [02:47<00:24, 3.51s/it] 88%|████████▊ | 44/50 [02:50<00:20, 3.39s/it] 90%|█████████ | 45/50 [02:53<00:16, 3.37s/it] 92%|█████████▏| 46/50 [02:56<00:13, 3.36s/it] 94%|█████████▍| 47/50 [03:00<00:10, 3.39s/it] 96%|█████████▌| 48/50 [03:03<00:06, 3.25s/it] 98%|█████████▊| 49/50 [03:05<00:02, 2.91s/it] 100%|██████████| 50/50 [03:07<00:00, 2.61s/it] 100%|██████████| 50/50 [03:07<00:00, 3.75s/it] Decoding latents in cuda:0... done in 3.46s Move latents to cpu... done in 0.04s