Huge Arachnid with Halcyon-SDXL v1.4
·
Mar 31
158
Input
prompt
Specify things to see in the output
(enormous:1.4) Starship Troopers huge big (colossal:1.2) (behemoth:1.3) (kaiju:1.2) arachnid, highly detailed, global illumination, HDR, 8K, high resolution, cinematic color grading, fuji cinestill, photograph of enormous (eldritch:1.2) intricate horror enormous giant insect creature, glossy and wet, tyranid, multiple rows of sharp teeth, armed soldiers trying to fight it
negative_prompt
Specify things to not see in the output
drawing, cartoon
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
1280
height
Output image height
960
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.
55889585
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 Karras
samping_steps
Number of denoising steps
35
cfg_scale
Scale for classifier-free guidance
7.5
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/173d72adf3d248b9b558cbb54b02a7d8/00000-55889585.webp
https://files.tungsten.run/uploads/89fcbebd1a534070a70f7a7b2c97b30b/00001-55889586.webp
https://files.tungsten.run/uploads/3c03b4e46ccf4ed3850f0848f3b047e1/00002-55889587.webp
Finished in 109.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (enormous:1.4) Starship Troopers huge big (colossal:1.2) (behemoth:1.3) (kaiju:1.2) arachnid, highly detailed, global illumination, HDR, 8K, high resolution, cinematic color grading, fuji cinestill, photograph of enormous (eldritch:1.2) intricate horror enormous giant insect creature, glossy and wet, tyranid, multiple rows of sharp teeth, armed soldiers trying to fight it, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: drawing, cartoon 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:28, 2.59s/it] 6%|▌ | 2/35 [00:05<01:37, 2.95s/it] 9%|▊ | 3/35 [00:08<01:36, 3.02s/it] 11%|█▏ | 4/35 [00:12<01:36, 3.13s/it] 14%|█▍ | 5/35 [00:15<01:35, 3.19s/it] 17%|█▋ | 6/35 [00:19<01:36, 3.31s/it] 20%|██ | 7/35 [00:22<01:32, 3.32s/it] 23%|██▎ | 8/35 [00:25<01:29, 3.30s/it] 26%|██▌ | 9/35 [00:28<01:25, 3.31s/it] 29%|██▊ | 10/35 [00:31<01:20, 3.21s/it] 31%|███▏ | 11/35 [00:35<01:16, 3.20s/it] 34%|███▍ | 12/35 [00:38<01:13, 3.22s/it] 37%|███▋ | 13/35 [00:41<01:11, 3.23s/it] 40%|████ | 14/35 [00:44<01:08, 3.26s/it] 43%|████▎ | 15/35 [00:47<01:03, 3.17s/it] 46%|████▌ | 16/35 [00:51<01:00, 3.21s/it] 49%|████▊ | 17/35 [00:54<00:58, 3.23s/it] 51%|█████▏ | 18/35 [00:57<00:53, 3.13s/it] 54%|█████▍ | 19/35 [01:00<00:50, 3.16s/it] 57%|█████▋ | 20/35 [01:04<00:48, 3.22s/it] 60%|██████ | 21/35 [01:07<00:44, 3.18s/it] 63%|██████▎ | 22/35 [01:09<00:38, 2.98s/it] 66%|██████▌ | 23/35 [01:12<00:34, 2.90s/it] 69%|██████▊ | 24/35 [01:15<00:31, 2.88s/it] 71%|███████▏ | 25/35 [01:18<00:29, 3.00s/it] 74%|███████▍ | 26/35 [01:21<00:27, 3.10s/it] 77%|███████▋ | 27/35 [01:24<00:24, 3.08s/it] 80%|████████ | 28/35 [01:27<00:21, 3.04s/it] 83%|████████▎ | 29/35 [01:30<00:17, 2.95s/it] 86%|████████▌ | 30/35 [01:33<00:14, 2.92s/it] 89%|████████▊ | 31/35 [01:36<00:11, 2.96s/it] 91%|█████████▏| 32/35 [01:39<00:08, 2.91s/it] 94%|█████████▍| 33/35 [01:41<00:05, 2.81s/it] 97%|█████████▋| 34/35 [01:43<00:02, 2.50s/it] 100%|██████████| 35/35 [01:45<00:00, 2.20s/it] 100%|██████████| 35/35 [01:45<00:00, 3.00s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.04s
prompt
Specify things to see in the output
(enormous:1.4) Starship Troopers huge big (colossal:1.2) (behemoth:1.3) (kaiju:1.2) arachnid, highly detailed, global illumination, HDR, 8K, high resolution, cinematic color grading, fuji cinestill, photograph of enormous (eldritch:1.2) intricate horror enormous giant insect creature, glossy and wet, tyranid, multiple rows of sharp teeth, armed soldiers trying to fight it
negative_prompt
Specify things to not see in the output
drawing, cartoon
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
1280
height
Output image height
960
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.
55889585
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 Karras
samping_steps
Number of denoising steps
35
cfg_scale
Scale for classifier-free guidance
7.5
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/173d72adf3d248b9b558cbb54b02a7d8/00000-55889585.webp
https://files.tungsten.run/uploads/89fcbebd1a534070a70f7a7b2c97b30b/00001-55889586.webp
https://files.tungsten.run/uploads/3c03b4e46ccf4ed3850f0848f3b047e1/00002-55889587.webp
Finished in 109.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (enormous:1.4) Starship Troopers huge big (colossal:1.2) (behemoth:1.3) (kaiju:1.2) arachnid, highly detailed, global illumination, HDR, 8K, high resolution, cinematic color grading, fuji cinestill, photograph of enormous (eldritch:1.2) intricate horror enormous giant insect creature, glossy and wet, tyranid, multiple rows of sharp teeth, armed soldiers trying to fight it, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: drawing, cartoon 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:28, 2.59s/it] 6%|▌ | 2/35 [00:05<01:37, 2.95s/it] 9%|▊ | 3/35 [00:08<01:36, 3.02s/it] 11%|█▏ | 4/35 [00:12<01:36, 3.13s/it] 14%|█▍ | 5/35 [00:15<01:35, 3.19s/it] 17%|█▋ | 6/35 [00:19<01:36, 3.31s/it] 20%|██ | 7/35 [00:22<01:32, 3.32s/it] 23%|██▎ | 8/35 [00:25<01:29, 3.30s/it] 26%|██▌ | 9/35 [00:28<01:25, 3.31s/it] 29%|██▊ | 10/35 [00:31<01:20, 3.21s/it] 31%|███▏ | 11/35 [00:35<01:16, 3.20s/it] 34%|███▍ | 12/35 [00:38<01:13, 3.22s/it] 37%|███▋ | 13/35 [00:41<01:11, 3.23s/it] 40%|████ | 14/35 [00:44<01:08, 3.26s/it] 43%|████▎ | 15/35 [00:47<01:03, 3.17s/it] 46%|████▌ | 16/35 [00:51<01:00, 3.21s/it] 49%|████▊ | 17/35 [00:54<00:58, 3.23s/it] 51%|█████▏ | 18/35 [00:57<00:53, 3.13s/it] 54%|█████▍ | 19/35 [01:00<00:50, 3.16s/it] 57%|█████▋ | 20/35 [01:04<00:48, 3.22s/it] 60%|██████ | 21/35 [01:07<00:44, 3.18s/it] 63%|██████▎ | 22/35 [01:09<00:38, 2.98s/it] 66%|██████▌ | 23/35 [01:12<00:34, 2.90s/it] 69%|██████▊ | 24/35 [01:15<00:31, 2.88s/it] 71%|███████▏ | 25/35 [01:18<00:29, 3.00s/it] 74%|███████▍ | 26/35 [01:21<00:27, 3.10s/it] 77%|███████▋ | 27/35 [01:24<00:24, 3.08s/it] 80%|████████ | 28/35 [01:27<00:21, 3.04s/it] 83%|████████▎ | 29/35 [01:30<00:17, 2.95s/it] 86%|████████▌ | 30/35 [01:33<00:14, 2.92s/it] 89%|████████▊ | 31/35 [01:36<00:11, 2.96s/it] 91%|█████████▏| 32/35 [01:39<00:08, 2.91s/it] 94%|█████████▍| 33/35 [01:41<00:05, 2.81s/it] 97%|█████████▋| 34/35 [01:43<00:02, 2.50s/it] 100%|██████████| 35/35 [01:45<00:00, 2.20s/it] 100%|██████████| 35/35 [01:45<00:00, 3.00s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.04s