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Lake with CreaPrompt Hyper-SDXL Ultimate3
CreaPrompt Hyper-SDXL:Ultimate3
sparks
sparks
·
Jun 26
3
Input
prompt
Specify things to see in the output
a fisherman, lake, cristal clear water, beautiful trees, beautiful flowers, blue light, romanticism art, (landscape art stylized by Karol Bak:1.3), Paul Gauguin, Cyberpop, short lighting, F/1.8, extremely beautiful, oil painting of
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
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.4
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.
1784836563
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
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2
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/4cc5f2cf3aea47d09fe3882181357756/00000-1784836563.webp
https://files.tungsten.run/uploads/62301792130e46da8425f7a74efc108c/00001-1784836564.webp
https://files.tungsten.run/uploads/f128405e923c410782757886f3938f48/00002-1784836565.webp
Finished in 37.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a fisherman, lake, cristal clear water, beautiful trees, beautiful flowers, blue light, romanticism art, (landscape art stylized by Karol Bak:1.3), Paul Gauguin, Cyberpop, short lighting, F/1.8, extremely beautiful, oil painting of, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:25, 2.84s/it] 20%|██ | 2/10 [00:04<00:16, 2.07s/it] 30%|███ | 3/10 [00:05<00:12, 1.83s/it] 40%|████ | 4/10 [00:07<00:10, 1.72s/it] 50%|█████ | 5/10 [00:09<00:08, 1.65s/it] 60%|██████ | 6/10 [00:10<00:06, 1.62s/it] 70%|███████ | 7/10 [00:12<00:04, 1.60s/it] 80%|████████ | 8/10 [00:13<00:03, 1.59s/it] 90%|█████████ | 9/10 [00:15<00:01, 1.59s/it] 100%|██████████| 10/10 [00:16<00:00, 1.58s/it] 100%|██████████| 10/10 [00:16<00:00, 1.68s/it] Decoding latents in cuda:0... done in 2.83s Move latents to cpu... done in 0.03s
prompt
Specify things to see in the output
a fisherman, lake, cristal clear water, beautiful trees, beautiful flowers, blue light, romanticism art, (landscape art stylized by Karol Bak:1.3), Paul Gauguin, Cyberpop, short lighting, F/1.8, extremely beautiful, oil painting of
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
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.4
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.
1784836563
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
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2
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/4cc5f2cf3aea47d09fe3882181357756/00000-1784836563.webp
https://files.tungsten.run/uploads/62301792130e46da8425f7a74efc108c/00001-1784836564.webp
https://files.tungsten.run/uploads/f128405e923c410782757886f3938f48/00002-1784836565.webp
Finished in 37.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a fisherman, lake, cristal clear water, beautiful trees, beautiful flowers, blue light, romanticism art, (landscape art stylized by Karol Bak:1.3), Paul Gauguin, Cyberpop, short lighting, F/1.8, extremely beautiful, oil painting of, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:25, 2.84s/it] 20%|██ | 2/10 [00:04<00:16, 2.07s/it] 30%|███ | 3/10 [00:05<00:12, 1.83s/it] 40%|████ | 4/10 [00:07<00:10, 1.72s/it] 50%|█████ | 5/10 [00:09<00:08, 1.65s/it] 60%|██████ | 6/10 [00:10<00:06, 1.62s/it] 70%|███████ | 7/10 [00:12<00:04, 1.60s/it] 80%|████████ | 8/10 [00:13<00:03, 1.59s/it] 90%|█████████ | 9/10 [00:15<00:01, 1.59s/it] 100%|██████████| 10/10 [00:16<00:00, 1.58s/it] 100%|██████████| 10/10 [00:16<00:00, 1.68s/it] Decoding latents in cuda:0... done in 2.83s Move latents to cpu... done in 0.03s