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protovision-xl
protovision-xl

protovision-xl

44 stars
Version: r0.6.2.0
Input
prompt *
Input prompt
negative_prompt
Specify things to not see in the output
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!
Output
https://files.tungsten.run/uploads/fd4270e9c74041eaa83a5a959105ce4d/tmpytym9em8.png
This example was created by jacksonmann
Finished in 35.7 seconds
Setting up the model... Processing... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:53, 2.79s/it] 10%|█ | 2/20 [00:04<00:37, 2.09s/it] 15%|█▌ | 3/20 [00:05<00:31, 1.87s/it] 20%|██ | 4/20 [00:07<00:28, 1.76s/it] 25%|██▌ | 5/20 [00:09<00:25, 1.70s/it] 30%|███ | 6/20 [00:10<00:23, 1.67s/it] 35%|███▌ | 7/20 [00:12<00:21, 1.65s/it] 40%|████ | 8/20 [00:14<00:19, 1.64s/it] 45%|████▌ | 9/20 [00:15<00:17, 1.64s/it] 50%|█████ | 10/20 [00:17<00:16, 1.63s/it] 55%|█████▌ | 11/20 [00:18<00:14, 1.63s/it] 60%|██████ | 12/20 [00:20<00:13, 1.63s/it] 65%|██████▌ | 13/20 [00:22<00:11, 1.63s/it] 70%|███████ | 14/20 [00:23<00:09, 1.63s/it] 75%|███████▌ | 15/20 [00:25<00:08, 1.63s/it] 80%|████████ | 16/20 [00:27<00:06, 1.63s/it] 85%|████████▌ | 17/20 [00:28<00:04, 1.63s/it] 90%|█████████ | 18/20 [00:30<00:03, 1.63s/it] 95%|█████████▌| 19/20 [00:31<00:01, 1.63s/it] 100%|██████████| 20/20 [00:32<00:00, 1.39s/it] 100%|██████████| 20/20 [00:32<00:00, 1.64s/it] Decoding latents in cuda:0... done in 1.85s Move latents to cpu... done in 0.0s Finished.
prompt *
Input prompt
negative_prompt
Specify things to not see in the output
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/fd4270e9c74041eaa83a5a959105ce4d/tmpytym9em8.png
This example was created by jacksonmann
Finished in 35.7 seconds
Setting up the model... Processing... 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:53, 2.79s/it] 10%|█ | 2/20 [00:04<00:37, 2.09s/it] 15%|█▌ | 3/20 [00:05<00:31, 1.87s/it] 20%|██ | 4/20 [00:07<00:28, 1.76s/it] 25%|██▌ | 5/20 [00:09<00:25, 1.70s/it] 30%|███ | 6/20 [00:10<00:23, 1.67s/it] 35%|███▌ | 7/20 [00:12<00:21, 1.65s/it] 40%|████ | 8/20 [00:14<00:19, 1.64s/it] 45%|████▌ | 9/20 [00:15<00:17, 1.64s/it] 50%|█████ | 10/20 [00:17<00:16, 1.63s/it] 55%|█████▌ | 11/20 [00:18<00:14, 1.63s/it] 60%|██████ | 12/20 [00:20<00:13, 1.63s/it] 65%|██████▌ | 13/20 [00:22<00:11, 1.63s/it] 70%|███████ | 14/20 [00:23<00:09, 1.63s/it] 75%|███████▌ | 15/20 [00:25<00:08, 1.63s/it] 80%|████████ | 16/20 [00:27<00:06, 1.63s/it] 85%|████████▌ | 17/20 [00:28<00:04, 1.63s/it] 90%|█████████ | 18/20 [00:30<00:03, 1.63s/it] 95%|█████████▌| 19/20 [00:31<00:01, 1.63s/it] 100%|██████████| 20/20 [00:32<00:00, 1.39s/it] 100%|██████████| 20/20 [00:32<00:00, 1.64s/it] Decoding latents in cuda:0... done in 1.85s Move latents to cpu... done in 0.0s Finished.