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Bonsai tree
hello-objects:v1.2c-base-v1.3
momo
momo
·
10/12/2023
330
Input
prompt
Input prompt
A bonsai tree, realistic, photography, photographic studio lighting, photographed by a Phase One camera, details in hdr sharpness, hyperfocus, 8K, ultra realistic, clean background
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)
512x512
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/2cb7841e792c4160ad4c920a6ffd8dbf/tmpe8s_3033.png
Finished in 10.9 seconds
v1.2c-base-v1.3: Pulling from momo/hello-objects 360eba32fa65: Pull complete 673a53d7ddde: Pull complete 921a206300e6: Pull complete 84509522a622: Pull complete b428991aa5f8: Pull complete 63ccbaa9fd78: Pull complete 6c98a790576b: Pull complete f45551226080: Pull complete 8cdd355d1bfd: Pull complete f5276022394f: Pull complete b49d0860e5cd: Pull complete 131ca93a6fbf: Pull complete 8915fc22d7d8: Pull complete d77d2b12dfa0: Pull complete 4f4fb700ef54: Pull complete 9ed9d5c3843f: Pull complete Setting up the model... Processing... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:08, 2.27it/s] 10%|█ | 2/20 [00:01<00:09, 1.89it/s] 15%|█▌ | 3/20 [00:01<00:09, 1.83it/s] 20%|██ | 4/20 [00:02<00:09, 1.76it/s] 25%|██▌ | 5/20 [00:02<00:08, 1.76it/s] 30%|███ | 6/20 [00:03<00:07, 1.76it/s] 35%|███▌ | 7/20 [00:03<00:07, 1.77it/s] 40%|████ | 8/20 [00:04<00:06, 1.79it/s] 45%|████▌ | 9/20 [00:04<00:06, 1.79it/s] 50%|█████ | 10/20 [00:05<00:05, 1.77it/s] 55%|█████▌ | 11/20 [00:06<00:04, 1.81it/s] 60%|██████ | 12/20 [00:06<00:04, 1.82it/s] 65%|██████▌ | 13/20 [00:07<00:03, 1.84it/s] 70%|███████ | 14/20 [00:07<00:03, 1.86it/s] 75%|███████▌ | 15/20 [00:08<00:02, 1.86it/s] 80%|████████ | 16/20 [00:08<00:02, 1.88it/s] 85%|████████▌ | 17/20 [00:09<00:01, 1.90it/s] 90%|█████████ | 18/20 [00:09<00:00, 2.02it/s] 95%|█████████▌| 19/20 [00:10<00:00, 2.16it/s] 100%|██████████| 20/20 [00:10<00:00, 2.68it/s] 100%|██████████| 20/20 [00:10<00:00, 1.95it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s Finished.
prompt
Input prompt
A bonsai tree, realistic, photography, photographic studio lighting, photographed by a Phase One camera, details in hdr sharpness, hyperfocus, 8K, ultra realistic, clean background
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)
512x512
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/2cb7841e792c4160ad4c920a6ffd8dbf/tmpe8s_3033.png
Finished in 10.9 seconds
v1.2c-base-v1.3: Pulling from momo/hello-objects 360eba32fa65: Pull complete 673a53d7ddde: Pull complete 921a206300e6: Pull complete 84509522a622: Pull complete b428991aa5f8: Pull complete 63ccbaa9fd78: Pull complete 6c98a790576b: Pull complete f45551226080: Pull complete 8cdd355d1bfd: Pull complete f5276022394f: Pull complete b49d0860e5cd: Pull complete 131ca93a6fbf: Pull complete 8915fc22d7d8: Pull complete d77d2b12dfa0: Pull complete 4f4fb700ef54: Pull complete 9ed9d5c3843f: Pull complete Setting up the model... Processing... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:08, 2.27it/s] 10%|█ | 2/20 [00:01<00:09, 1.89it/s] 15%|█▌ | 3/20 [00:01<00:09, 1.83it/s] 20%|██ | 4/20 [00:02<00:09, 1.76it/s] 25%|██▌ | 5/20 [00:02<00:08, 1.76it/s] 30%|███ | 6/20 [00:03<00:07, 1.76it/s] 35%|███▌ | 7/20 [00:03<00:07, 1.77it/s] 40%|████ | 8/20 [00:04<00:06, 1.79it/s] 45%|████▌ | 9/20 [00:04<00:06, 1.79it/s] 50%|█████ | 10/20 [00:05<00:05, 1.77it/s] 55%|█████▌ | 11/20 [00:06<00:04, 1.81it/s] 60%|██████ | 12/20 [00:06<00:04, 1.82it/s] 65%|██████▌ | 13/20 [00:07<00:03, 1.84it/s] 70%|███████ | 14/20 [00:07<00:03, 1.86it/s] 75%|███████▌ | 15/20 [00:08<00:02, 1.86it/s] 80%|████████ | 16/20 [00:08<00:02, 1.88it/s] 85%|████████▌ | 17/20 [00:09<00:01, 1.90it/s] 90%|█████████ | 18/20 [00:09<00:00, 2.02it/s] 95%|█████████▌| 19/20 [00:10<00:00, 2.16it/s] 100%|██████████| 20/20 [00:10<00:00, 2.68it/s] 100%|██████████| 20/20 [00:10<00:00, 1.95it/s] Decoding latents in cuda:0... done in 0.16s Move latents to cpu... done in 0.0s Finished.