Siamese Cat with OpenDalle
·
Feb 17
356
Input
prompt
Specify things to see in the output
Siamese: Create a colorful 4K image of a Siamese kitten posing against a backdrop of bright silk fabric with an Eastern pattern, emphasizing its elegance, shallow depth of field, sharp focus, <lora:EnvyBetterHiresFixXL01:0.4>
negative_prompt
Specify things to not see in the output
blurry, hazy, low resolution, worst quality
num_outputs
Number of output images
3
width
Output image width
1024
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.
516488434
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
DPM2 a
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
5
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/d7d4acbdb2af4c4892b8743e49f37bae/00000-516488434.webp
https://files.tungsten.run/uploads/533f833f163d44cf852cede66335807e/00001-516488435.webp
https://files.tungsten.run/uploads/d3aea762dd634e8c9e64f63da02756da/00002-516488436.webp
Finished in 150.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Siamese: Create a colorful 4K image of a Siamese kitten posing against a backdrop of bright silk fabric with an Eastern pattern, emphasizing its elegance, shallow depth of field, sharp focus, <lora:EnvyBetterHiresFixXL01:0.4>, <lora:add-detail-xl:1.0> Full negative prompt: blurry, hazy, low resolution, worst quality 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:04<03:11, 4.91s/it] 5%|▌ | 2/40 [00:08<02:34, 4.07s/it] 8%|▊ | 3/40 [00:11<02:20, 3.81s/it] 10%|█ | 4/40 [00:15<02:13, 3.70s/it] 12%|█▎ | 5/40 [00:18<02:07, 3.65s/it] 15%|█▌ | 6/40 [00:22<02:03, 3.62s/it] 18%|█▊ | 7/40 [00:26<01:59, 3.61s/it] 20%|██ | 8/40 [00:29<01:55, 3.61s/it] 22%|██▎ | 9/40 [00:33<01:52, 3.61s/it] 25%|██▌ | 10/40 [00:36<01:48, 3.62s/it] 28%|██▊ | 11/40 [00:40<01:44, 3.61s/it] 30%|███ | 12/40 [00:44<01:40, 3.60s/it] 32%|███▎ | 13/40 [00:47<01:37, 3.59s/it] 35%|███▌ | 14/40 [00:51<01:33, 3.59s/it] 38%|███▊ | 15/40 [00:54<01:29, 3.58s/it] 40%|████ | 16/40 [00:58<01:25, 3.57s/it] 42%|████▎ | 17/40 [01:01<01:21, 3.56s/it] 45%|████▌ | 18/40 [01:05<01:18, 3.55s/it] 48%|████▊ | 19/40 [01:09<01:14, 3.55s/it] 50%|█████ | 20/40 [01:12<01:10, 3.54s/it] 52%|█████▎ | 21/40 [01:16<01:07, 3.54s/it] 55%|█████▌ | 22/40 [01:19<01:03, 3.53s/it] 57%|█████▊ | 23/40 [01:23<00:59, 3.52s/it] 60%|██████ | 24/40 [01:26<00:56, 3.52s/it] 62%|██████▎ | 25/40 [01:30<00:52, 3.52s/it] 65%|██████▌ | 26/40 [01:33<00:49, 3.52s/it] 68%|██████▊ | 27/40 [01:37<00:45, 3.52s/it] 70%|███████ | 28/40 [01:40<00:42, 3.52s/it] 72%|███████▎ | 29/40 [01:44<00:38, 3.53s/it] 75%|███████▌ | 30/40 [01:47<00:35, 3.53s/it] 78%|███████▊ | 31/40 [01:51<00:31, 3.54s/it] 80%|████████ | 32/40 [01:54<00:28, 3.54s/it] 82%|████████▎ | 33/40 [01:58<00:24, 3.55s/it] 85%|████████▌ | 34/40 [02:02<00:21, 3.56s/it] 88%|████████▊ | 35/40 [02:05<00:17, 3.56s/it] 90%|█████████ | 36/40 [02:09<00:14, 3.57s/it] 92%|█████████▎| 37/40 [02:12<00:10, 3.57s/it] 95%|█████████▌| 38/40 [02:16<00:07, 3.57s/it] 98%|█████████▊| 39/40 [02:19<00:03, 3.57s/it] 100%|██████████| 40/40 [02:21<00:00, 3.03s/it] 100%|██████████| 40/40 [02:21<00:00, 3.54s/it] Decoding latents in cuda:0... done in 3.13s Move latents to cpu... done in 0.04s Uploading outputs... Finished.
prompt
Specify things to see in the output
Siamese: Create a colorful 4K image of a Siamese kitten posing against a backdrop of bright silk fabric with an Eastern pattern, emphasizing its elegance, shallow depth of field, sharp focus, <lora:EnvyBetterHiresFixXL01:0.4>
negative_prompt
Specify things to not see in the output
blurry, hazy, low resolution, worst quality
num_outputs
Number of output images
3
width
Output image width
1024
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.
516488434
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
DPM2 a
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
5
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/d7d4acbdb2af4c4892b8743e49f37bae/00000-516488434.webp
https://files.tungsten.run/uploads/533f833f163d44cf852cede66335807e/00001-516488435.webp
https://files.tungsten.run/uploads/d3aea762dd634e8c9e64f63da02756da/00002-516488436.webp
Finished in 150.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Siamese: Create a colorful 4K image of a Siamese kitten posing against a backdrop of bright silk fabric with an Eastern pattern, emphasizing its elegance, shallow depth of field, sharp focus, <lora:EnvyBetterHiresFixXL01:0.4>, <lora:add-detail-xl:1.0> Full negative prompt: blurry, hazy, low resolution, worst quality 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:04<03:11, 4.91s/it] 5%|▌ | 2/40 [00:08<02:34, 4.07s/it] 8%|▊ | 3/40 [00:11<02:20, 3.81s/it] 10%|█ | 4/40 [00:15<02:13, 3.70s/it] 12%|█▎ | 5/40 [00:18<02:07, 3.65s/it] 15%|█▌ | 6/40 [00:22<02:03, 3.62s/it] 18%|█▊ | 7/40 [00:26<01:59, 3.61s/it] 20%|██ | 8/40 [00:29<01:55, 3.61s/it] 22%|██▎ | 9/40 [00:33<01:52, 3.61s/it] 25%|██▌ | 10/40 [00:36<01:48, 3.62s/it] 28%|██▊ | 11/40 [00:40<01:44, 3.61s/it] 30%|███ | 12/40 [00:44<01:40, 3.60s/it] 32%|███▎ | 13/40 [00:47<01:37, 3.59s/it] 35%|███▌ | 14/40 [00:51<01:33, 3.59s/it] 38%|███▊ | 15/40 [00:54<01:29, 3.58s/it] 40%|████ | 16/40 [00:58<01:25, 3.57s/it] 42%|████▎ | 17/40 [01:01<01:21, 3.56s/it] 45%|████▌ | 18/40 [01:05<01:18, 3.55s/it] 48%|████▊ | 19/40 [01:09<01:14, 3.55s/it] 50%|█████ | 20/40 [01:12<01:10, 3.54s/it] 52%|█████▎ | 21/40 [01:16<01:07, 3.54s/it] 55%|█████▌ | 22/40 [01:19<01:03, 3.53s/it] 57%|█████▊ | 23/40 [01:23<00:59, 3.52s/it] 60%|██████ | 24/40 [01:26<00:56, 3.52s/it] 62%|██████▎ | 25/40 [01:30<00:52, 3.52s/it] 65%|██████▌ | 26/40 [01:33<00:49, 3.52s/it] 68%|██████▊ | 27/40 [01:37<00:45, 3.52s/it] 70%|███████ | 28/40 [01:40<00:42, 3.52s/it] 72%|███████▎ | 29/40 [01:44<00:38, 3.53s/it] 75%|███████▌ | 30/40 [01:47<00:35, 3.53s/it] 78%|███████▊ | 31/40 [01:51<00:31, 3.54s/it] 80%|████████ | 32/40 [01:54<00:28, 3.54s/it] 82%|████████▎ | 33/40 [01:58<00:24, 3.55s/it] 85%|████████▌ | 34/40 [02:02<00:21, 3.56s/it] 88%|████████▊ | 35/40 [02:05<00:17, 3.56s/it] 90%|█████████ | 36/40 [02:09<00:14, 3.57s/it] 92%|█████████▎| 37/40 [02:12<00:10, 3.57s/it] 95%|█████████▌| 38/40 [02:16<00:07, 3.57s/it] 98%|█████████▊| 39/40 [02:19<00:03, 3.57s/it] 100%|██████████| 40/40 [02:21<00:00, 3.03s/it] 100%|██████████| 40/40 [02:21<00:00, 3.54s/it] Decoding latents in cuda:0... done in 3.13s Move latents to cpu... done in 0.04s Uploading outputs... Finished.