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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/f008e8eef2bf4e97977ffa086f706c29/tmp5d3vm_sz.png
https://files.tungsten.run/uploads/715a04240dd1455884bc009c24a0901f/tmpfo9q72rq.png
https://files.tungsten.run/uploads/4f90f849f08343d89c23bb75b95d1441/tmpl5f9jmi8.png
This example was created by hectorg
Finished in 106.0 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3291964925 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:04<01:21, 4.29s/it] 10%|█ | 2/20 [00:10<01:33, 5.17s/it] 15%|█▌ | 3/20 [00:15<01:33, 5.51s/it] 20%|██ | 4/20 [00:21<01:31, 5.70s/it] 25%|██▌ | 5/20 [00:27<01:26, 5.74s/it] 30%|███ | 6/20 [00:33<01:20, 5.79s/it] 35%|███▌ | 7/20 [00:39<01:14, 5.70s/it] 40%|████ | 8/20 [00:44<01:07, 5.62s/it] 45%|████▌ | 9/20 [00:50<01:02, 5.64s/it] 50%|█████ | 10/20 [00:55<00:55, 5.53s/it] 55%|█████▌ | 11/20 [01:00<00:48, 5.42s/it] 60%|██████ | 12/20 [01:06<00:42, 5.37s/it] 65%|██████▌ | 13/20 [01:11<00:37, 5.36s/it] 70%|███████ | 14/20 [01:16<00:31, 5.20s/it] 75%|███████▌ | 15/20 [01:21<00:26, 5.28s/it] 80%|████████ | 16/20 [01:26<00:21, 5.26s/it] 85%|████████▌ | 17/20 [01:31<00:15, 5.05s/it] 90%|█████████ | 18/20 [01:36<00:10, 5.05s/it] 95%|█████████▌| 19/20 [01:40<00:04, 4.60s/it] 100%|██████████| 20/20 [01:41<00:00, 3.63s/it] 100%|██████████| 20/20 [01:41<00:00, 5.07s/it] Decoding latents in cuda:0... done in 2.37s Move latents to cpu... done in 0.03s Uploading outputs... 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/f008e8eef2bf4e97977ffa086f706c29/tmp5d3vm_sz.png
https://files.tungsten.run/uploads/715a04240dd1455884bc009c24a0901f/tmpfo9q72rq.png
https://files.tungsten.run/uploads/4f90f849f08343d89c23bb75b95d1441/tmpl5f9jmi8.png
This example was created by hectorg
Finished in 106.0 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3291964925 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:04<01:21, 4.29s/it] 10%|█ | 2/20 [00:10<01:33, 5.17s/it] 15%|█▌ | 3/20 [00:15<01:33, 5.51s/it] 20%|██ | 4/20 [00:21<01:31, 5.70s/it] 25%|██▌ | 5/20 [00:27<01:26, 5.74s/it] 30%|███ | 6/20 [00:33<01:20, 5.79s/it] 35%|███▌ | 7/20 [00:39<01:14, 5.70s/it] 40%|████ | 8/20 [00:44<01:07, 5.62s/it] 45%|████▌ | 9/20 [00:50<01:02, 5.64s/it] 50%|█████ | 10/20 [00:55<00:55, 5.53s/it] 55%|█████▌ | 11/20 [01:00<00:48, 5.42s/it] 60%|██████ | 12/20 [01:06<00:42, 5.37s/it] 65%|██████▌ | 13/20 [01:11<00:37, 5.36s/it] 70%|███████ | 14/20 [01:16<00:31, 5.20s/it] 75%|███████▌ | 15/20 [01:21<00:26, 5.28s/it] 80%|████████ | 16/20 [01:26<00:21, 5.26s/it] 85%|████████▌ | 17/20 [01:31<00:15, 5.05s/it] 90%|█████████ | 18/20 [01:36<00:10, 5.05s/it] 95%|█████████▌| 19/20 [01:40<00:04, 4.60s/it] 100%|██████████| 20/20 [01:41<00:00, 3.63s/it] 100%|██████████| 20/20 [01:41<00:00, 5.07s/it] Decoding latents in cuda:0... done in 2.37s Move latents to cpu... done in 0.03s Uploading outputs... Finished.