coffee in wooden mug cup
Input
prompt
Input prompt
wooden mug
negative_prompt
Specify things to not see in the output
reference_image
Image that the output should be similar to
reference_pose_image
Image with a reference pose
reference_depth_image
Image with a reference depth
image_dimensions
Pixel dimensions of output image (width x height)
512x768
num_outputs
Number of output images
1
seed
Random seed. Set as -1 to randomize the seed
-1
sampler
Sampler type
DPM++ SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
Whether to ignore the last layer of CLIP network or not
true
lora
LoRA file. You can apply and adjust the magnitude by putting the following to the prompt: <lora:[FILE_NAME]:[MAGNITUDE]>
Output
![https://files.tungsten.run/uploads/c93eeb197fa44d84a299cff8cd66ab92/tmph95lx3ag.png](https://files.tungsten.run/uploads/c93eeb197fa44d84a299cff8cd66ab92/tmph95lx3ag.png)
Finished in 26.5 seconds
prompt
Input prompt
wooden mug
negative_prompt
Specify things to not see in the output
reference_image
Image that the output should be similar to
reference_pose_image
Image with a reference pose
reference_depth_image
Image with a reference depth
image_dimensions
Pixel dimensions of output image (width x height)
512x768
num_outputs
Number of output images
1
seed
Random seed. Set as -1 to randomize the seed
-1
sampler
Sampler type
DPM++ SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
Whether to ignore the last layer of CLIP network or not
true
lora
LoRA file. You can apply and adjust the magnitude by putting the following to the prompt: <lora:[FILE_NAME]:[MAGNITUDE]>
![https://files.tungsten.run/uploads/c93eeb197fa44d84a299cff8cd66ab92/tmph95lx3ag.png](https://files.tungsten.run/uploads/c93eeb197fa44d84a299cff8cd66ab92/tmph95lx3ag.png)
Finished in 26.5 seconds