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Female Cheetah with Gleipnir
gleipnir:v2.0
sparks
sparks
·
Feb 6
361
Input
prompt
Specify things to see in the output
Closeup of an anthro furry cheetah female wearing a wool sweater, paws, paw pads towards viewer, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh
negative_prompt
Specify things to not see in the output
anime, 3D render, painting, cartoon, drawing, (makeup),bad anatomy, unrealistic
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1200
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.
412515374
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
80
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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/f91860a88ff74c85a007b15dcad306dd/00000-412515374.webp
https://files.tungsten.run/uploads/4cb5692ce0da4381833070b92ee7571e/00001-412515375.webp
https://files.tungsten.run/uploads/c49422c48b2d4f088688fc44e7c961eb/00002-412515376.webp
Finished in 301.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Closeup of an anthro furry cheetah female wearing a wool sweater, paws, paw pads towards viewer, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh, <lora:add-detail-xl:1.0> Full negative prompt: anime, 3D render, painting, cartoon, drawing, (makeup),bad anatomy, unrealistic 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:04<05:33, 4.22s/it] 2%|▎ | 2/80 [00:08<05:21, 4.12s/it] 4%|▍ | 3/80 [00:12<05:15, 4.10s/it] 5%|▌ | 4/80 [00:16<05:11, 4.10s/it] 6%|▋ | 5/80 [00:20<05:08, 4.11s/it] 8%|▊ | 6/80 [00:24<04:56, 4.01s/it] 9%|▉ | 7/80 [00:28<04:48, 3.95s/it] 10%|█ | 8/80 [00:32<04:45, 3.96s/it] 11%|█▏ | 9/80 [00:36<04:44, 4.01s/it] 12%|█▎ | 10/80 [00:40<04:41, 4.02s/it] 14%|█▍ | 11/80 [00:45<05:10, 4.51s/it] 15%|█▌ | 12/80 [00:49<04:51, 4.29s/it] 16%|█▋ | 13/80 [00:53<04:39, 4.17s/it] 18%|█▊ | 14/80 [00:57<04:30, 4.10s/it] 19%|█▉ | 15/80 [01:01<04:22, 4.03s/it] 20%|██ | 16/80 [01:05<04:16, 4.00s/it] 21%|██▏ | 17/80 [01:09<04:09, 3.97s/it] 22%|██▎ | 18/80 [01:13<04:07, 3.99s/it] 24%|██▍ | 19/80 [01:17<04:01, 3.96s/it] 25%|██▌ | 20/80 [01:21<03:56, 3.95s/it] 26%|██▋ | 21/80 [01:24<03:50, 3.91s/it] 28%|██▊ | 22/80 [01:29<03:48, 3.95s/it] 29%|██▉ | 23/80 [01:33<03:46, 3.98s/it] 30%|███ | 24/80 [01:36<03:41, 3.96s/it] 31%|███▏ | 25/80 [01:40<03:34, 3.90s/it] 32%|███▎ | 26/80 [01:44<03:30, 3.90s/it] 34%|███▍ | 27/80 [01:48<03:26, 3.89s/it] 35%|███▌ | 28/80 [01:52<03:20, 3.85s/it] 36%|███▋ | 29/80 [01:56<03:16, 3.85s/it] 38%|███▊ | 30/80 [01:59<03:05, 3.71s/it] 39%|███▉ | 31/80 [02:03<03:01, 3.71s/it] 40%|████ | 32/80 [02:06<02:55, 3.65s/it] 41%|████▏ | 33/80 [02:10<02:52, 3.67s/it] 42%|████▎ | 34/80 [02:14<02:48, 3.65s/it] 44%|████▍ | 35/80 [02:17<02:45, 3.67s/it] 45%|████▌ | 36/80 [02:21<02:45, 3.76s/it] 46%|████▋ | 37/80 [02:25<02:38, 3.68s/it] 48%|████▊ | 38/80 [02:28<02:33, 3.65s/it] 49%|████▉ | 39/80 [02:32<02:33, 3.74s/it] 50%|█████ | 40/80 [02:36<02:28, 3.71s/it] 51%|█████▏ | 41/80 [02:39<02:22, 3.66s/it] 52%|█████▎ | 42/80 [02:43<02:20, 3.70s/it] 54%|█████▍ | 43/80 [02:47<02:15, 3.65s/it] 55%|█████▌ | 44/80 [02:51<02:14, 3.73s/it] 56%|█████▋ | 45/80 [02:54<02:09, 3.69s/it] 57%|█████▊ | 46/80 [02:58<02:05, 3.68s/it] 59%|█████▉ | 47/80 [03:01<01:58, 3.61s/it] 60%|██████ | 48/80 [03:05<01:58, 3.70s/it] 61%|██████▏ | 49/80 [03:09<01:53, 3.68s/it] 62%|██████▎ | 50/80 [03:13<01:49, 3.67s/it] 64%|██████▍ | 51/80 [03:16<01:46, 3.69s/it] 65%|██████▌ | 52/80 [03:20<01:45, 3.77s/it] 66%|██████▋ | 53/80 [03:24<01:37, 3.60s/it] 68%|██████▊ | 54/80 [03:27<01:30, 3.48s/it] 69%|██████▉ | 55/80 [03:30<01:26, 3.44s/it] 70%|███████ | 56/80 [03:34<01:26, 3.60s/it] 71%|███████▏ | 57/80 [03:37<01:21, 3.56s/it] 72%|███████▎ | 58/80 [03:41<01:17, 3.52s/it] 74%|███████▍ | 59/80 [03:44<01:12, 3.45s/it] 75%|███████▌ | 60/80 [03:48<01:10, 3.50s/it] 76%|███████▋ | 61/80 [03:51<01:06, 3.49s/it] 78%|███████▊ | 62/80 [03:54<01:01, 3.40s/it] 79%|███████▉ | 63/80 [03:58<00:59, 3.47s/it] 80%|████████ | 64/80 [04:01<00:54, 3.42s/it] 81%|████████▏ | 65/80 [04:05<00:50, 3.36s/it] 82%|████████▎ | 66/80 [04:08<00:48, 3.50s/it] 84%|████████▍ | 67/80 [04:12<00:45, 3.47s/it] 85%|████████▌ | 68/80 [04:15<00:42, 3.51s/it] 86%|████████▋ | 69/80 [04:19<00:37, 3.41s/it] 88%|████████▊ | 70/80 [04:22<00:34, 3.47s/it] 89%|████████▉ | 71/80 [04:25<00:30, 3.38s/it] 90%|█████████ | 72/80 [04:28<00:26, 3.28s/it] 91%|█████████▏| 73/80 [04:32<00:23, 3.39s/it] 92%|█████████▎| 74/80 [04:35<00:19, 3.27s/it] 94%|█████████▍| 75/80 [04:39<00:16, 3.31s/it] 95%|█████████▌| 76/80 [04:42<00:13, 3.28s/it] 96%|█████████▋| 77/80 [04:45<00:10, 3.34s/it] 98%|█████████▊| 78/80 [04:49<00:06, 3.46s/it] 99%|█████████▉| 79/80 [04:51<00:03, 3.10s/it] 100%|██████████| 80/80 [04:53<00:00, 2.78s/it] 100%|██████████| 80/80 [04:53<00:00, 3.67s/it] Decoding latents in cuda:0... done in 3.37s Move latents to cpu... done in 0.04s Uploading outputs... Finished.
prompt
Specify things to see in the output
Closeup of an anthro furry cheetah female wearing a wool sweater, paws, paw pads towards viewer, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh
negative_prompt
Specify things to not see in the output
anime, 3D render, painting, cartoon, drawing, (makeup),bad anatomy, unrealistic
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1200
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.
412515374
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
80
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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/f91860a88ff74c85a007b15dcad306dd/00000-412515374.webp
https://files.tungsten.run/uploads/4cb5692ce0da4381833070b92ee7571e/00001-412515375.webp
https://files.tungsten.run/uploads/c49422c48b2d4f088688fc44e7c961eb/00002-412515376.webp
Finished in 301.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Closeup of an anthro furry cheetah female wearing a wool sweater, paws, paw pads towards viewer, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh, <lora:add-detail-xl:1.0> Full negative prompt: anime, 3D render, painting, cartoon, drawing, (makeup),bad anatomy, unrealistic 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:04<05:33, 4.22s/it] 2%|▎ | 2/80 [00:08<05:21, 4.12s/it] 4%|▍ | 3/80 [00:12<05:15, 4.10s/it] 5%|▌ | 4/80 [00:16<05:11, 4.10s/it] 6%|▋ | 5/80 [00:20<05:08, 4.11s/it] 8%|▊ | 6/80 [00:24<04:56, 4.01s/it] 9%|▉ | 7/80 [00:28<04:48, 3.95s/it] 10%|█ | 8/80 [00:32<04:45, 3.96s/it] 11%|█▏ | 9/80 [00:36<04:44, 4.01s/it] 12%|█▎ | 10/80 [00:40<04:41, 4.02s/it] 14%|█▍ | 11/80 [00:45<05:10, 4.51s/it] 15%|█▌ | 12/80 [00:49<04:51, 4.29s/it] 16%|█▋ | 13/80 [00:53<04:39, 4.17s/it] 18%|█▊ | 14/80 [00:57<04:30, 4.10s/it] 19%|█▉ | 15/80 [01:01<04:22, 4.03s/it] 20%|██ | 16/80 [01:05<04:16, 4.00s/it] 21%|██▏ | 17/80 [01:09<04:09, 3.97s/it] 22%|██▎ | 18/80 [01:13<04:07, 3.99s/it] 24%|██▍ | 19/80 [01:17<04:01, 3.96s/it] 25%|██▌ | 20/80 [01:21<03:56, 3.95s/it] 26%|██▋ | 21/80 [01:24<03:50, 3.91s/it] 28%|██▊ | 22/80 [01:29<03:48, 3.95s/it] 29%|██▉ | 23/80 [01:33<03:46, 3.98s/it] 30%|███ | 24/80 [01:36<03:41, 3.96s/it] 31%|███▏ | 25/80 [01:40<03:34, 3.90s/it] 32%|███▎ | 26/80 [01:44<03:30, 3.90s/it] 34%|███▍ | 27/80 [01:48<03:26, 3.89s/it] 35%|███▌ | 28/80 [01:52<03:20, 3.85s/it] 36%|███▋ | 29/80 [01:56<03:16, 3.85s/it] 38%|███▊ | 30/80 [01:59<03:05, 3.71s/it] 39%|███▉ | 31/80 [02:03<03:01, 3.71s/it] 40%|████ | 32/80 [02:06<02:55, 3.65s/it] 41%|████▏ | 33/80 [02:10<02:52, 3.67s/it] 42%|████▎ | 34/80 [02:14<02:48, 3.65s/it] 44%|████▍ | 35/80 [02:17<02:45, 3.67s/it] 45%|████▌ | 36/80 [02:21<02:45, 3.76s/it] 46%|████▋ | 37/80 [02:25<02:38, 3.68s/it] 48%|████▊ | 38/80 [02:28<02:33, 3.65s/it] 49%|████▉ | 39/80 [02:32<02:33, 3.74s/it] 50%|█████ | 40/80 [02:36<02:28, 3.71s/it] 51%|█████▏ | 41/80 [02:39<02:22, 3.66s/it] 52%|█████▎ | 42/80 [02:43<02:20, 3.70s/it] 54%|█████▍ | 43/80 [02:47<02:15, 3.65s/it] 55%|█████▌ | 44/80 [02:51<02:14, 3.73s/it] 56%|█████▋ | 45/80 [02:54<02:09, 3.69s/it] 57%|█████▊ | 46/80 [02:58<02:05, 3.68s/it] 59%|█████▉ | 47/80 [03:01<01:58, 3.61s/it] 60%|██████ | 48/80 [03:05<01:58, 3.70s/it] 61%|██████▏ | 49/80 [03:09<01:53, 3.68s/it] 62%|██████▎ | 50/80 [03:13<01:49, 3.67s/it] 64%|██████▍ | 51/80 [03:16<01:46, 3.69s/it] 65%|██████▌ | 52/80 [03:20<01:45, 3.77s/it] 66%|██████▋ | 53/80 [03:24<01:37, 3.60s/it] 68%|██████▊ | 54/80 [03:27<01:30, 3.48s/it] 69%|██████▉ | 55/80 [03:30<01:26, 3.44s/it] 70%|███████ | 56/80 [03:34<01:26, 3.60s/it] 71%|███████▏ | 57/80 [03:37<01:21, 3.56s/it] 72%|███████▎ | 58/80 [03:41<01:17, 3.52s/it] 74%|███████▍ | 59/80 [03:44<01:12, 3.45s/it] 75%|███████▌ | 60/80 [03:48<01:10, 3.50s/it] 76%|███████▋ | 61/80 [03:51<01:06, 3.49s/it] 78%|███████▊ | 62/80 [03:54<01:01, 3.40s/it] 79%|███████▉ | 63/80 [03:58<00:59, 3.47s/it] 80%|████████ | 64/80 [04:01<00:54, 3.42s/it] 81%|████████▏ | 65/80 [04:05<00:50, 3.36s/it] 82%|████████▎ | 66/80 [04:08<00:48, 3.50s/it] 84%|████████▍ | 67/80 [04:12<00:45, 3.47s/it] 85%|████████▌ | 68/80 [04:15<00:42, 3.51s/it] 86%|████████▋ | 69/80 [04:19<00:37, 3.41s/it] 88%|████████▊ | 70/80 [04:22<00:34, 3.47s/it] 89%|████████▉ | 71/80 [04:25<00:30, 3.38s/it] 90%|█████████ | 72/80 [04:28<00:26, 3.28s/it] 91%|█████████▏| 73/80 [04:32<00:23, 3.39s/it] 92%|█████████▎| 74/80 [04:35<00:19, 3.27s/it] 94%|█████████▍| 75/80 [04:39<00:16, 3.31s/it] 95%|█████████▌| 76/80 [04:42<00:13, 3.28s/it] 96%|█████████▋| 77/80 [04:45<00:10, 3.34s/it] 98%|█████████▊| 78/80 [04:49<00:06, 3.46s/it] 99%|█████████▉| 79/80 [04:51<00:03, 3.10s/it] 100%|██████████| 80/80 [04:53<00:00, 2.78s/it] 100%|██████████| 80/80 [04:53<00:00, 3.67s/it] Decoding latents in cuda:0... done in 3.37s Move latents to cpu... done in 0.04s Uploading outputs... Finished.