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Goldfishes with Enjoy Pandora XL
enjoy-pandora-xl:v1.0
evevalentine2017
evevalentine2017
·
Jan 23
375
Input
prompt
Specify things to see in the output
nordic stuffed goldfish, analog photo, 1960s pulp science fiction film still, animatronics, cheesy, bokeh, trashy
negative_prompt
Specify things to not see in the output
(more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1452464869
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/e1122dea4ffc4c70b5d02a4eba940652/00000-1452464869.webp
https://files.tungsten.run/uploads/09d996221e794f4f93cedc050a5d9ed2/00001-1452464870.webp
https://files.tungsten.run/uploads/47abce28c06d464180fb388f272d38b4/00002-1452464871.webp
Finished in 118.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: nordic stuffed goldfish, analog photo, 1960s pulp science fiction film still, animatronics, cheesy, bokeh, trashy Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:25, 2.20s/it] 5%|▌ | 2/40 [00:04<01:35, 2.52s/it] 8%|▊ | 3/40 [00:07<01:40, 2.71s/it] 10%|█ | 4/40 [00:10<01:39, 2.75s/it] 12%|█▎ | 5/40 [00:13<01:37, 2.78s/it] 15%|█▌ | 6/40 [00:16<01:35, 2.80s/it] 18%|█▊ | 7/40 [00:19<01:34, 2.86s/it] 20%|██ | 8/40 [00:23<01:40, 3.15s/it] 22%|██▎ | 9/40 [00:26<01:36, 3.11s/it] 25%|██▌ | 10/40 [00:29<01:31, 3.04s/it] 28%|██▊ | 11/40 [00:31<01:26, 2.97s/it] 30%|███ | 12/40 [00:34<01:23, 3.00s/it] 32%|███▎ | 13/40 [00:37<01:20, 2.97s/it] 35%|███▌ | 14/40 [00:40<01:15, 2.92s/it] 38%|███▊ | 15/40 [00:43<01:13, 2.93s/it] 40%|████ | 16/40 [00:46<01:08, 2.86s/it] 42%|████▎ | 17/40 [00:49<01:06, 2.87s/it] 45%|████▌ | 18/40 [00:51<01:02, 2.85s/it] 48%|████▊ | 19/40 [00:54<01:00, 2.87s/it] 50%|█████ | 20/40 [00:57<00:56, 2.81s/it] 52%|█████▎ | 21/40 [01:00<00:52, 2.78s/it] 55%|█████▌ | 22/40 [01:02<00:49, 2.73s/it] 57%|█████▊ | 23/40 [01:05<00:45, 2.68s/it] 60%|██████ | 24/40 [01:08<00:43, 2.74s/it] 62%|██████▎ | 25/40 [01:10<00:39, 2.65s/it] 65%|██████▌ | 26/40 [01:13<00:37, 2.68s/it] 68%|██████▊ | 27/40 [01:16<00:35, 2.69s/it] 70%|███████ | 28/40 [01:18<00:32, 2.69s/it] 72%|███████▎ | 29/40 [01:21<00:29, 2.65s/it] 75%|███████▌ | 30/40 [01:24<00:27, 2.71s/it] 78%|███████▊ | 31/40 [01:26<00:23, 2.64s/it] 80%|████████ | 32/40 [01:29<00:20, 2.54s/it] 82%|████████▎ | 33/40 [01:31<00:18, 2.58s/it] 85%|████████▌ | 34/40 [01:34<00:14, 2.50s/it] 88%|████████▊ | 35/40 [01:36<00:12, 2.48s/it] 90%|█████████ | 36/40 [01:38<00:09, 2.42s/it] 92%|█████████▎| 37/40 [01:41<00:07, 2.49s/it] 95%|█████████▌| 38/40 [01:43<00:04, 2.47s/it] 98%|█████████▊| 39/40 [01:45<00:02, 2.23s/it] 100%|██████████| 40/40 [01:46<00:00, 1.99s/it] 100%|██████████| 40/40 [01:46<00:00, 2.67s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
nordic stuffed goldfish, analog photo, 1960s pulp science fiction film still, animatronics, cheesy, bokeh, trashy
negative_prompt
Specify things to not see in the output
(more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1452464869
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/e1122dea4ffc4c70b5d02a4eba940652/00000-1452464869.webp
https://files.tungsten.run/uploads/09d996221e794f4f93cedc050a5d9ed2/00001-1452464870.webp
https://files.tungsten.run/uploads/47abce28c06d464180fb388f272d38b4/00002-1452464871.webp
Finished in 118.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: nordic stuffed goldfish, analog photo, 1960s pulp science fiction film still, animatronics, cheesy, bokeh, trashy Full negative prompt: (more than 2 arms), ng_deepnegative_v1_75t, (worst quality), (low quality), (normal quality), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), watermark, (negative_hand-neg:0.6), (EasyNegativeV2:0.6), extra fingers, deformed hands, polydactyl:1.3 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:25, 2.20s/it] 5%|▌ | 2/40 [00:04<01:35, 2.52s/it] 8%|▊ | 3/40 [00:07<01:40, 2.71s/it] 10%|█ | 4/40 [00:10<01:39, 2.75s/it] 12%|█▎ | 5/40 [00:13<01:37, 2.78s/it] 15%|█▌ | 6/40 [00:16<01:35, 2.80s/it] 18%|█▊ | 7/40 [00:19<01:34, 2.86s/it] 20%|██ | 8/40 [00:23<01:40, 3.15s/it] 22%|██▎ | 9/40 [00:26<01:36, 3.11s/it] 25%|██▌ | 10/40 [00:29<01:31, 3.04s/it] 28%|██▊ | 11/40 [00:31<01:26, 2.97s/it] 30%|███ | 12/40 [00:34<01:23, 3.00s/it] 32%|███▎ | 13/40 [00:37<01:20, 2.97s/it] 35%|███▌ | 14/40 [00:40<01:15, 2.92s/it] 38%|███▊ | 15/40 [00:43<01:13, 2.93s/it] 40%|████ | 16/40 [00:46<01:08, 2.86s/it] 42%|████▎ | 17/40 [00:49<01:06, 2.87s/it] 45%|████▌ | 18/40 [00:51<01:02, 2.85s/it] 48%|████▊ | 19/40 [00:54<01:00, 2.87s/it] 50%|█████ | 20/40 [00:57<00:56, 2.81s/it] 52%|█████▎ | 21/40 [01:00<00:52, 2.78s/it] 55%|█████▌ | 22/40 [01:02<00:49, 2.73s/it] 57%|█████▊ | 23/40 [01:05<00:45, 2.68s/it] 60%|██████ | 24/40 [01:08<00:43, 2.74s/it] 62%|██████▎ | 25/40 [01:10<00:39, 2.65s/it] 65%|██████▌ | 26/40 [01:13<00:37, 2.68s/it] 68%|██████▊ | 27/40 [01:16<00:35, 2.69s/it] 70%|███████ | 28/40 [01:18<00:32, 2.69s/it] 72%|███████▎ | 29/40 [01:21<00:29, 2.65s/it] 75%|███████▌ | 30/40 [01:24<00:27, 2.71s/it] 78%|███████▊ | 31/40 [01:26<00:23, 2.64s/it] 80%|████████ | 32/40 [01:29<00:20, 2.54s/it] 82%|████████▎ | 33/40 [01:31<00:18, 2.58s/it] 85%|████████▌ | 34/40 [01:34<00:14, 2.50s/it] 88%|████████▊ | 35/40 [01:36<00:12, 2.48s/it] 90%|█████████ | 36/40 [01:38<00:09, 2.42s/it] 92%|█████████▎| 37/40 [01:41<00:07, 2.49s/it] 95%|█████████▌| 38/40 [01:43<00:04, 2.47s/it] 98%|█████████▊| 39/40 [01:45<00:02, 2.23s/it] 100%|██████████| 40/40 [01:46<00:00, 1.99s/it] 100%|██████████| 40/40 [01:46<00:00, 2.67s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.