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realcartoon-pixar
realcartoon-pixar

realcartoon-pixar

26 stars
Version: v3-base-v1.3
Input
prompt *
Input prompt
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)
num_outputs
Number of output images
seed
Random seed. Set as -1 to randomize the seed
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
Whether to ignore the last layer of CLIP network or not
lora
LoRA file. You can apply and adjust the magnitude by putting the following to the prompt: <lora:[FILE_NAME]:[MAGNITUDE]>
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Output
https://files.tungsten.run/uploads/8f99e3fd23c04564b7f2930a0459187e/tmpczyfntxp.png
This example was created by momo
Finished in 13.5 seconds
v3-base-v1.3: Pulling from momo/realcartoon-pixar 360eba32fa65: Already exists 673a53d7ddde: Already exists 921a206300e6: Already exists 84509522a622: Already exists b428991aa5f8: Already exists 63ccbaa9fd78: Already exists 6c98a790576b: Already exists f45551226080: Already exists 8cdd355d1bfd: Already exists f5276022394f: Already exists b49d0860e5cd: Already exists 131ca93a6fbf: Already exists 8915fc22d7d8: Already exists d77d2b12dfa0: Already exists 4f4fb700ef54: Already exists 5090d6b46a8e: Pull complete Setting up the model... Processing... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:22, 1.19s/it] 10%|█ | 2/20 [00:01<00:14, 1.28it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.53it/s] 20%|██ | 4/20 [00:02<00:09, 1.68it/s] 25%|██▌ | 5/20 [00:03<00:08, 1.79it/s] 30%|███ | 6/20 [00:03<00:07, 1.85it/s] 35%|███▌ | 7/20 [00:04<00:06, 1.90it/s] 40%|████ | 8/20 [00:04<00:06, 1.93it/s] 45%|████▌ | 9/20 [00:05<00:05, 1.95it/s] 50%|█████ | 10/20 [00:05<00:05, 1.95it/s] 55%|█████▌ | 11/20 [00:06<00:04, 1.97it/s] 60%|██████ | 12/20 [00:06<00:04, 1.98it/s] 65%|██████▌ | 13/20 [00:07<00:03, 1.98it/s] 70%|███████ | 14/20 [00:07<00:03, 1.98it/s] 75%|███████▌ | 15/20 [00:08<00:02, 1.98it/s] 80%|████████ | 16/20 [00:08<00:02, 1.99it/s] 85%|████████▌ | 17/20 [00:09<00:01, 1.99it/s] 90%|█████████ | 18/20 [00:09<00:01, 1.99it/s] 95%|█████████▌| 19/20 [00:10<00:00, 1.99it/s] 100%|██████████| 20/20 [00:10<00:00, 2.33it/s] 100%|██████████| 20/20 [00:10<00:00, 1.91it/s] Decoding latents in cuda:0... done in 2.32s Move latents to cpu... done in 0.0s Finished.
prompt *
Input prompt
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)
num_outputs
Number of output images
seed
Random seed. Set as -1 to randomize the seed
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
Whether to ignore the last layer of CLIP network or not
lora
LoRA file. You can apply and adjust the magnitude by putting the following to the prompt: <lora:[FILE_NAME]:[MAGNITUDE]>
Sign in to run this model for free!
https://files.tungsten.run/uploads/8f99e3fd23c04564b7f2930a0459187e/tmpczyfntxp.png
This example was created by momo
Finished in 13.5 seconds
v3-base-v1.3: Pulling from momo/realcartoon-pixar 360eba32fa65: Already exists 673a53d7ddde: Already exists 921a206300e6: Already exists 84509522a622: Already exists b428991aa5f8: Already exists 63ccbaa9fd78: Already exists 6c98a790576b: Already exists f45551226080: Already exists 8cdd355d1bfd: Already exists f5276022394f: Already exists b49d0860e5cd: Already exists 131ca93a6fbf: Already exists 8915fc22d7d8: Already exists d77d2b12dfa0: Already exists 4f4fb700ef54: Already exists 5090d6b46a8e: Pull complete Setting up the model... Processing... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:22, 1.19s/it] 10%|█ | 2/20 [00:01<00:14, 1.28it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.53it/s] 20%|██ | 4/20 [00:02<00:09, 1.68it/s] 25%|██▌ | 5/20 [00:03<00:08, 1.79it/s] 30%|███ | 6/20 [00:03<00:07, 1.85it/s] 35%|███▌ | 7/20 [00:04<00:06, 1.90it/s] 40%|████ | 8/20 [00:04<00:06, 1.93it/s] 45%|████▌ | 9/20 [00:05<00:05, 1.95it/s] 50%|█████ | 10/20 [00:05<00:05, 1.95it/s] 55%|█████▌ | 11/20 [00:06<00:04, 1.97it/s] 60%|██████ | 12/20 [00:06<00:04, 1.98it/s] 65%|██████▌ | 13/20 [00:07<00:03, 1.98it/s] 70%|███████ | 14/20 [00:07<00:03, 1.98it/s] 75%|███████▌ | 15/20 [00:08<00:02, 1.98it/s] 80%|████████ | 16/20 [00:08<00:02, 1.99it/s] 85%|████████▌ | 17/20 [00:09<00:01, 1.99it/s] 90%|█████████ | 18/20 [00:09<00:01, 1.99it/s] 95%|█████████▌| 19/20 [00:10<00:00, 1.99it/s] 100%|██████████| 20/20 [00:10<00:00, 2.33it/s] 100%|██████████| 20/20 [00:10<00:00, 1.91it/s] Decoding latents in cuda:0... done in 2.32s Move latents to cpu... done in 0.0s Finished.