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Hornet with Hillside v1.0
Hillside:v1.0
sparks
sparks
·
May 18
3
Input
prompt
Specify things to see in the output
cinematic photo inspired Foundry Hornet , Floating screen . 35mm photograph, film, bokeh, professional, 4k, highly detailed
negative_prompt
Specify things to not see in the output
drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, 3D
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
874
height
Output image height
1277
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.
935959604
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
Euler a
samping_steps
Number of denoising steps
72
cfg_scale
Scale for classifier-free guidance
3
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/c0a921f15f7c47439c7caca0c8696730/00000-935959604.webp
https://files.tungsten.run/uploads/6b6e3e5d0ee1426c8c2fad99b1822e23/00001-935959605.webp
https://files.tungsten.run/uploads/89f7ecf4e47e48989cf7380c6fc52a82/00002-935959606.webp
Finished in 110.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic photo inspired Foundry Hornet , Floating screen . 35mm photograph, film, bokeh, professional, 4k, highly detailed, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, 3D 0%| | 0/72 [00:00<?, ?it/s] 1%|▏ | 1/72 [00:02<02:26, 2.06s/it] 3%|▎ | 2/72 [00:03<01:56, 1.66s/it] 4%|▍ | 3/72 [00:04<01:45, 1.53s/it] 6%|▌ | 4/72 [00:06<01:40, 1.48s/it] 7%|▋ | 5/72 [00:07<01:36, 1.44s/it] 8%|▊ | 6/72 [00:08<01:33, 1.42s/it] 10%|▉ | 7/72 [00:10<01:31, 1.42s/it] 11%|█ | 8/72 [00:11<01:30, 1.41s/it] 12%|█▎ | 9/72 [00:13<01:28, 1.40s/it] 14%|█▍ | 10/72 [00:14<01:26, 1.40s/it] 15%|█▌ | 11/72 [00:15<01:25, 1.40s/it] 17%|█▋ | 12/72 [00:17<01:24, 1.40s/it] 18%|█▊ | 13/72 [00:18<01:22, 1.40s/it] 19%|█▉ | 14/72 [00:20<01:21, 1.40s/it] 21%|██ | 15/72 [00:21<01:19, 1.40s/it] 22%|██▏ | 16/72 [00:22<01:18, 1.40s/it] 24%|██▎ | 17/72 [00:24<01:17, 1.40s/it] 25%|██▌ | 18/72 [00:25<01:15, 1.40s/it] 26%|██▋ | 19/72 [00:27<01:14, 1.41s/it] 28%|██▊ | 20/72 [00:28<01:13, 1.41s/it] 29%|██▉ | 21/72 [00:30<01:11, 1.41s/it] 31%|███ | 22/72 [00:31<01:10, 1.41s/it] 32%|███▏ | 23/72 [00:32<01:09, 1.41s/it] 33%|███▎ | 24/72 [00:34<01:07, 1.41s/it] 35%|███▍ | 25/72 [00:35<01:06, 1.41s/it] 36%|███▌ | 26/72 [00:37<01:05, 1.41s/it] 38%|███▊ | 27/72 [00:38<01:03, 1.41s/it] 39%|███▉ | 28/72 [00:39<01:02, 1.42s/it] 40%|████ | 29/72 [00:41<01:00, 1.42s/it] 42%|████▏ | 30/72 [00:42<00:59, 1.42s/it] 43%|████▎ | 31/72 [00:44<00:58, 1.42s/it] 44%|████▍ | 32/72 [00:45<00:56, 1.42s/it] 46%|████▌ | 33/72 [00:47<00:55, 1.42s/it] 47%|████▋ | 34/72 [00:48<00:53, 1.42s/it] 49%|████▊ | 35/72 [00:49<00:52, 1.42s/it] 50%|█████ | 36/72 [00:51<00:51, 1.42s/it] 51%|█████▏ | 37/72 [00:52<00:49, 1.42s/it] 53%|█████▎ | 38/72 [00:54<00:48, 1.42s/it] 54%|█████▍ | 39/72 [00:55<00:47, 1.43s/it] 56%|█████▌ | 40/72 [00:56<00:45, 1.42s/it] 57%|█████▋ | 41/72 [00:58<00:44, 1.43s/it] 58%|█████▊ | 42/72 [00:59<00:42, 1.43s/it] 60%|█████▉ | 43/72 [01:01<00:41, 1.43s/it] 61%|██████ | 44/72 [01:02<00:40, 1.43s/it] 62%|██████▎ | 45/72 [01:04<00:38, 1.43s/it] 64%|██████▍ | 46/72 [01:05<00:37, 1.44s/it] 65%|██████▌ | 47/72 [01:07<00:35, 1.44s/it] 67%|██████▋ | 48/72 [01:08<00:34, 1.44s/it] 68%|██████▊ | 49/72 [01:09<00:33, 1.44s/it] 69%|██████▉ | 50/72 [01:11<00:31, 1.44s/it] 71%|███████ | 51/72 [01:12<00:30, 1.44s/it] 72%|███████▏ | 52/72 [01:14<00:28, 1.44s/it] 74%|███████▎ | 53/72 [01:15<00:27, 1.44s/it] 75%|███████▌ | 54/72 [01:17<00:26, 1.45s/it] 76%|███████▋ | 55/72 [01:18<00:24, 1.45s/it] 78%|███████▊ | 56/72 [01:20<00:23, 1.45s/it] 79%|███████▉ | 57/72 [01:21<00:21, 1.45s/it] 81%|████████ | 58/72 [01:22<00:20, 1.45s/it] 82%|████████▏ | 59/72 [01:24<00:18, 1.45s/it] 83%|████████▎ | 60/72 [01:25<00:17, 1.45s/it] 85%|████████▍ | 61/72 [01:27<00:15, 1.45s/it] 86%|████████▌ | 62/72 [01:28<00:14, 1.45s/it] 88%|████████▊ | 63/72 [01:30<00:13, 1.45s/it] 89%|████████▉ | 64/72 [01:31<00:11, 1.45s/it] 90%|█████████ | 65/72 [01:33<00:10, 1.45s/it] 92%|█████████▏| 66/72 [01:34<00:08, 1.45s/it] 93%|█████████▎| 67/72 [01:36<00:07, 1.45s/it] 94%|█████████▍| 68/72 [01:37<00:05, 1.45s/it] 96%|█████████▌| 69/72 [01:38<00:04, 1.46s/it] 97%|█████████▋| 70/72 [01:40<00:02, 1.46s/it] 99%|█████████▊| 71/72 [01:41<00:01, 1.46s/it] 100%|██████████| 72/72 [01:43<00:00, 1.45s/it] 100%|██████████| 72/72 [01:43<00:00, 1.43s/it] Decoding latents in cuda:0... done in 2.52s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
cinematic photo inspired Foundry Hornet , Floating screen . 35mm photograph, film, bokeh, professional, 4k, highly detailed
negative_prompt
Specify things to not see in the output
drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, 3D
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
874
height
Output image height
1277
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.
935959604
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
Euler a
samping_steps
Number of denoising steps
72
cfg_scale
Scale for classifier-free guidance
3
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/c0a921f15f7c47439c7caca0c8696730/00000-935959604.webp
https://files.tungsten.run/uploads/6b6e3e5d0ee1426c8c2fad99b1822e23/00001-935959605.webp
https://files.tungsten.run/uploads/89f7ecf4e47e48989cf7380c6fc52a82/00002-935959606.webp
Finished in 110.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic photo inspired Foundry Hornet , Floating screen . 35mm photograph, film, bokeh, professional, 4k, highly detailed, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, 3D 0%| | 0/72 [00:00<?, ?it/s] 1%|▏ | 1/72 [00:02<02:26, 2.06s/it] 3%|▎ | 2/72 [00:03<01:56, 1.66s/it] 4%|▍ | 3/72 [00:04<01:45, 1.53s/it] 6%|▌ | 4/72 [00:06<01:40, 1.48s/it] 7%|▋ | 5/72 [00:07<01:36, 1.44s/it] 8%|▊ | 6/72 [00:08<01:33, 1.42s/it] 10%|▉ | 7/72 [00:10<01:31, 1.42s/it] 11%|█ | 8/72 [00:11<01:30, 1.41s/it] 12%|█▎ | 9/72 [00:13<01:28, 1.40s/it] 14%|█▍ | 10/72 [00:14<01:26, 1.40s/it] 15%|█▌ | 11/72 [00:15<01:25, 1.40s/it] 17%|█▋ | 12/72 [00:17<01:24, 1.40s/it] 18%|█▊ | 13/72 [00:18<01:22, 1.40s/it] 19%|█▉ | 14/72 [00:20<01:21, 1.40s/it] 21%|██ | 15/72 [00:21<01:19, 1.40s/it] 22%|██▏ | 16/72 [00:22<01:18, 1.40s/it] 24%|██▎ | 17/72 [00:24<01:17, 1.40s/it] 25%|██▌ | 18/72 [00:25<01:15, 1.40s/it] 26%|██▋ | 19/72 [00:27<01:14, 1.41s/it] 28%|██▊ | 20/72 [00:28<01:13, 1.41s/it] 29%|██▉ | 21/72 [00:30<01:11, 1.41s/it] 31%|███ | 22/72 [00:31<01:10, 1.41s/it] 32%|███▏ | 23/72 [00:32<01:09, 1.41s/it] 33%|███▎ | 24/72 [00:34<01:07, 1.41s/it] 35%|███▍ | 25/72 [00:35<01:06, 1.41s/it] 36%|███▌ | 26/72 [00:37<01:05, 1.41s/it] 38%|███▊ | 27/72 [00:38<01:03, 1.41s/it] 39%|███▉ | 28/72 [00:39<01:02, 1.42s/it] 40%|████ | 29/72 [00:41<01:00, 1.42s/it] 42%|████▏ | 30/72 [00:42<00:59, 1.42s/it] 43%|████▎ | 31/72 [00:44<00:58, 1.42s/it] 44%|████▍ | 32/72 [00:45<00:56, 1.42s/it] 46%|████▌ | 33/72 [00:47<00:55, 1.42s/it] 47%|████▋ | 34/72 [00:48<00:53, 1.42s/it] 49%|████▊ | 35/72 [00:49<00:52, 1.42s/it] 50%|█████ | 36/72 [00:51<00:51, 1.42s/it] 51%|█████▏ | 37/72 [00:52<00:49, 1.42s/it] 53%|█████▎ | 38/72 [00:54<00:48, 1.42s/it] 54%|█████▍ | 39/72 [00:55<00:47, 1.43s/it] 56%|█████▌ | 40/72 [00:56<00:45, 1.42s/it] 57%|█████▋ | 41/72 [00:58<00:44, 1.43s/it] 58%|█████▊ | 42/72 [00:59<00:42, 1.43s/it] 60%|█████▉ | 43/72 [01:01<00:41, 1.43s/it] 61%|██████ | 44/72 [01:02<00:40, 1.43s/it] 62%|██████▎ | 45/72 [01:04<00:38, 1.43s/it] 64%|██████▍ | 46/72 [01:05<00:37, 1.44s/it] 65%|██████▌ | 47/72 [01:07<00:35, 1.44s/it] 67%|██████▋ | 48/72 [01:08<00:34, 1.44s/it] 68%|██████▊ | 49/72 [01:09<00:33, 1.44s/it] 69%|██████▉ | 50/72 [01:11<00:31, 1.44s/it] 71%|███████ | 51/72 [01:12<00:30, 1.44s/it] 72%|███████▏ | 52/72 [01:14<00:28, 1.44s/it] 74%|███████▎ | 53/72 [01:15<00:27, 1.44s/it] 75%|███████▌ | 54/72 [01:17<00:26, 1.45s/it] 76%|███████▋ | 55/72 [01:18<00:24, 1.45s/it] 78%|███████▊ | 56/72 [01:20<00:23, 1.45s/it] 79%|███████▉ | 57/72 [01:21<00:21, 1.45s/it] 81%|████████ | 58/72 [01:22<00:20, 1.45s/it] 82%|████████▏ | 59/72 [01:24<00:18, 1.45s/it] 83%|████████▎ | 60/72 [01:25<00:17, 1.45s/it] 85%|████████▍ | 61/72 [01:27<00:15, 1.45s/it] 86%|████████▌ | 62/72 [01:28<00:14, 1.45s/it] 88%|████████▊ | 63/72 [01:30<00:13, 1.45s/it] 89%|████████▉ | 64/72 [01:31<00:11, 1.45s/it] 90%|█████████ | 65/72 [01:33<00:10, 1.45s/it] 92%|█████████▏| 66/72 [01:34<00:08, 1.45s/it] 93%|█████████▎| 67/72 [01:36<00:07, 1.45s/it] 94%|█████████▍| 68/72 [01:37<00:05, 1.45s/it] 96%|█████████▌| 69/72 [01:38<00:04, 1.46s/it] 97%|█████████▋| 70/72 [01:40<00:02, 1.46s/it] 99%|█████████▊| 71/72 [01:41<00:01, 1.46s/it] 100%|██████████| 72/72 [01:43<00:00, 1.45s/it] 100%|██████████| 72/72 [01:43<00:00, 1.43s/it] Decoding latents in cuda:0... done in 2.52s Move latents to cpu... done in 0.02s