Rose with Dragon with Magical woman XLV4
Input
prompt
Specify things to see in the output
(high budget Hollywood film:1.2),(cinematic film still portrait of ) photograph of a beautiful rose with dragon, adereklandscape
negative_prompt
Specify things to not see in the output
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.
1337
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++ SDE Karras
samping_steps
Number of denoising steps
12
cfg_scale
Scale for classifier-free guidance
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/882cfce76e724de0bdea9c58b5964139/00000-1337.webp
https://files.tungsten.run/uploads/1e0d2c21cc24424c8f6ae65d0499a6c5/00001-1338.webp
https://files.tungsten.run/uploads/de7477feb59849d6b8dd4c39c71341e3/00002-1339.webp
Finished in 67.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (high budget Hollywood film:1.2),(cinematic film still portrait of ) photograph of a beautiful rose with dragon, adereklandscape, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:04<00:52, 4.77s/it] 17%|█▋ | 2/12 [00:10<00:55, 5.58s/it] 25%|██▌ | 3/12 [00:17<00:53, 5.91s/it] 33%|███▎ | 4/12 [00:23<00:48, 6.10s/it] 42%|████▏ | 5/12 [00:29<00:43, 6.20s/it] 50%|█████ | 6/12 [00:35<00:35, 5.86s/it] 58%|█████▊ | 7/12 [00:41<00:29, 5.93s/it] 67%|██████▋ | 8/12 [00:47<00:23, 5.98s/it] 75%|███████▌ | 9/12 [00:53<00:17, 5.96s/it] 83%|████████▎ | 10/12 [00:58<00:11, 5.67s/it] 92%|█████████▏| 11/12 [01:02<00:05, 5.15s/it] 100%|██████████| 12/12 [01:03<00:00, 4.04s/it] 100%|██████████| 12/12 [01:03<00:00, 5.31s/it] Decoding latents in cuda:0... done in 2.75s Move latents to cpu... done in 0.01s
prompt
Specify things to see in the output
(high budget Hollywood film:1.2),(cinematic film still portrait of ) photograph of a beautiful rose with dragon, adereklandscape
negative_prompt
Specify things to not see in the output
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.
1337
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++ SDE Karras
samping_steps
Number of denoising steps
12
cfg_scale
Scale for classifier-free guidance
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/882cfce76e724de0bdea9c58b5964139/00000-1337.webp
https://files.tungsten.run/uploads/1e0d2c21cc24424c8f6ae65d0499a6c5/00001-1338.webp
https://files.tungsten.run/uploads/de7477feb59849d6b8dd4c39c71341e3/00002-1339.webp
Finished in 67.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (high budget Hollywood film:1.2),(cinematic film still portrait of ) photograph of a beautiful rose with dragon, adereklandscape, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:04<00:52, 4.77s/it] 17%|█▋ | 2/12 [00:10<00:55, 5.58s/it] 25%|██▌ | 3/12 [00:17<00:53, 5.91s/it] 33%|███▎ | 4/12 [00:23<00:48, 6.10s/it] 42%|████▏ | 5/12 [00:29<00:43, 6.20s/it] 50%|█████ | 6/12 [00:35<00:35, 5.86s/it] 58%|█████▊ | 7/12 [00:41<00:29, 5.93s/it] 67%|██████▋ | 8/12 [00:47<00:23, 5.98s/it] 75%|███████▌ | 9/12 [00:53<00:17, 5.96s/it] 83%|████████▎ | 10/12 [00:58<00:11, 5.67s/it] 92%|█████████▏| 11/12 [01:02<00:05, 5.15s/it] 100%|██████████| 12/12 [01:03<00:00, 4.04s/it] 100%|██████████| 12/12 [01:03<00:00, 5.31s/it] Decoding latents in cuda:0... done in 2.75s Move latents to cpu... done in 0.01s