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A beautiful ring
hello-objects:v1.2c-base-v1.3
wetdreams
wetdreams
·
10/13/2023
371
Input
prompt
Input prompt
object, (Intricate magic ringmade of diamond) , flower, (masterpiece),realistic colorful photography,solo focus,professional photograph
negative_prompt
Specify things to not see in the output
FastNegativeV2,(bad-artist:1),(worst quality, low quality:1.4),(bad_prompt_version2:0.8),bad-hands-5,lowres,bad anatomy,bad hands,((text)),(watermark),error,missing fingers,extra digit,fewer digits,cropped,worst quality,low quality,normal quality,((username)),blurry,(extra limbs),bad-artist-anime,badhandv4,EasyNegative,ng_deepnegative_v1_75t,verybadimagenegative_v1.3,BadDream,(three hands:1.6),(three legs:1.2),(more than two hands:1.4),(more than two legs,:1.2),
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
1548326319
sampler
Sampler type
DPM++ SDE Karras
samping_steps
Number of denoising steps
20
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/b5573851dca149dfb852fa7462503891/tmpjtc6hgoo.png
Finished in 18.8 seconds
Setting up the model... Processing... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:25, 1.34s/it] 10%|█ | 2/20 [00:02<00:19, 1.06s/it] 15%|█▌ | 3/20 [00:03<00:16, 1.04it/s] 20%|██ | 4/20 [00:03<00:14, 1.07it/s] 25%|██▌ | 5/20 [00:04<00:13, 1.11it/s] 30%|███ | 6/20 [00:05<00:12, 1.14it/s] 35%|███▌ | 7/20 [00:06<00:11, 1.16it/s] 40%|████ | 8/20 [00:07<00:10, 1.18it/s] 45%|████▌ | 9/20 [00:08<00:09, 1.20it/s] 50%|█████ | 10/20 [00:08<00:08, 1.19it/s] 55%|█████▌ | 11/20 [00:09<00:07, 1.22it/s] 60%|██████ | 12/20 [00:10<00:06, 1.22it/s] 65%|██████▌ | 13/20 [00:11<00:05, 1.23it/s] 70%|███████ | 14/20 [00:12<00:04, 1.25it/s] 75%|███████▌ | 15/20 [00:12<00:04, 1.25it/s] 80%|████████ | 16/20 [00:13<00:03, 1.27it/s] 85%|████████▌ | 17/20 [00:14<00:02, 1.27it/s] 90%|█████████ | 18/20 [00:15<00:01, 1.36it/s] 95%|█████████▌| 19/20 [00:15<00:00, 1.45it/s] 100%|██████████| 20/20 [00:15<00:00, 1.80it/s] 100%|██████████| 20/20 [00:15<00:00, 1.26it/s] Decoding latents in cuda:0... done in 2.43s Move latents to cpu... done in 0.0s Finished.
prompt
Input prompt
object, (Intricate magic ringmade of diamond) , flower, (masterpiece),realistic colorful photography,solo focus,professional photograph
negative_prompt
Specify things to not see in the output
FastNegativeV2,(bad-artist:1),(worst quality, low quality:1.4),(bad_prompt_version2:0.8),bad-hands-5,lowres,bad anatomy,bad hands,((text)),(watermark),error,missing fingers,extra digit,fewer digits,cropped,worst quality,low quality,normal quality,((username)),blurry,(extra limbs),bad-artist-anime,badhandv4,EasyNegative,ng_deepnegative_v1_75t,verybadimagenegative_v1.3,BadDream,(three hands:1.6),(three legs:1.2),(more than two hands:1.4),(more than two legs,:1.2),
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
1548326319
sampler
Sampler type
DPM++ SDE Karras
samping_steps
Number of denoising steps
20
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/b5573851dca149dfb852fa7462503891/tmpjtc6hgoo.png
Finished in 18.8 seconds
Setting up the model... Processing... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:25, 1.34s/it] 10%|█ | 2/20 [00:02<00:19, 1.06s/it] 15%|█▌ | 3/20 [00:03<00:16, 1.04it/s] 20%|██ | 4/20 [00:03<00:14, 1.07it/s] 25%|██▌ | 5/20 [00:04<00:13, 1.11it/s] 30%|███ | 6/20 [00:05<00:12, 1.14it/s] 35%|███▌ | 7/20 [00:06<00:11, 1.16it/s] 40%|████ | 8/20 [00:07<00:10, 1.18it/s] 45%|████▌ | 9/20 [00:08<00:09, 1.20it/s] 50%|█████ | 10/20 [00:08<00:08, 1.19it/s] 55%|█████▌ | 11/20 [00:09<00:07, 1.22it/s] 60%|██████ | 12/20 [00:10<00:06, 1.22it/s] 65%|██████▌ | 13/20 [00:11<00:05, 1.23it/s] 70%|███████ | 14/20 [00:12<00:04, 1.25it/s] 75%|███████▌ | 15/20 [00:12<00:04, 1.25it/s] 80%|████████ | 16/20 [00:13<00:03, 1.27it/s] 85%|████████▌ | 17/20 [00:14<00:02, 1.27it/s] 90%|█████████ | 18/20 [00:15<00:01, 1.36it/s] 95%|█████████▌| 19/20 [00:15<00:00, 1.45it/s] 100%|██████████| 20/20 [00:15<00:00, 1.80it/s] 100%|██████████| 20/20 [00:15<00:00, 1.26it/s] Decoding latents in cuda:0... done in 2.43s Move latents to cpu... done in 0.0s Finished.