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1960's with Doll-E XL v2.0
Doll-E XL:v2.0
sparks
sparks
·
May 20
4
Input
prompt
Specify things to see in the output
1girl, Epically Gorgeous, 1960's Attire, at the Drive-In, night time, Ambient Neon Light, Medium Breasts, Text Logo "Doll-E", 2.5D Render, Unreal Engine 5 Render, 8k, Highly-detailed,
negative_prompt
Specify things to not see in the output
(Watermark:1.8), Bad Quality, Worst Quality, Black and White, B&W, (bad anatomy:1.5), (bad hands:1.5), 2-in-1, ugly, fusion, (nude:1.8)
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
896
height
Output image height
1152
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
1259924695
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++ 3M SDE
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
5.4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/3e375640b27840b1a907c76f822776eb/00000-1259924695.webp
https://files.tungsten.run/uploads/dddee3c0bb7b431d8d939b7d9d1f5dd7/00001-1259924696.webp
https://files.tungsten.run/uploads/7f2410b90ebd46e9981438d81661fd20/00002-1259924697.webp
Finished in 145.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1girl, Epically Gorgeous, 1960's Attire, at the Drive-In, night time, Ambient Neon Light, Medium Breasts, Text Logo "Doll-E", 2.5D Render, Unreal Engine 5 Render, 8k, Highly-detailed,, <lora:add-detail-xl:1.0> Full negative prompt: (Watermark:1.8), Bad Quality, Worst Quality, Black and White, B&W, (bad anatomy:1.5), (bad hands:1.5), 2-in-1, ugly, fusion, (nude:1.8) 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:01<01:53, 1.93s/it] 3%|▎ | 2/60 [00:04<02:11, 2.26s/it] 5%|▌ | 3/60 [00:06<02:16, 2.39s/it] 7%|▋ | 4/60 [00:09<02:19, 2.49s/it] 8%|▊ | 5/60 [00:12<02:21, 2.57s/it] 10%|█ | 6/60 [00:14<02:13, 2.47s/it] 12%|█▏ | 7/60 [00:16<02:07, 2.41s/it] 13%|█▎ | 8/60 [00:19<02:05, 2.41s/it] 15%|█▌ | 9/60 [00:21<02:03, 2.43s/it] 17%|█▋ | 10/60 [00:24<02:01, 2.43s/it] 18%|█▊ | 11/60 [00:26<02:00, 2.45s/it] 20%|██ | 12/60 [00:29<01:57, 2.46s/it] 22%|██▏ | 13/60 [00:31<01:55, 2.45s/it] 23%|██▎ | 14/60 [00:34<01:53, 2.47s/it] 25%|██▌ | 15/60 [00:36<01:49, 2.44s/it] 27%|██▋ | 16/60 [00:39<01:49, 2.49s/it] 28%|██▊ | 17/60 [00:41<01:49, 2.55s/it] 30%|███ | 18/60 [00:44<01:46, 2.53s/it] 32%|███▏ | 19/60 [00:46<01:43, 2.53s/it] 33%|███▎ | 20/60 [00:49<01:41, 2.54s/it] 35%|███▌ | 21/60 [00:51<01:39, 2.55s/it] 37%|███▋ | 22/60 [00:54<01:36, 2.53s/it] 38%|███▊ | 23/60 [00:56<01:32, 2.49s/it] 40%|████ | 24/60 [00:59<01:28, 2.46s/it] 42%|████▏ | 25/60 [01:01<01:23, 2.38s/it] 43%|████▎ | 26/60 [01:03<01:22, 2.41s/it] 45%|████▌ | 27/60 [01:06<01:21, 2.47s/it] 47%|████▋ | 28/60 [01:08<01:18, 2.46s/it] 48%|████▊ | 29/60 [01:11<01:16, 2.45s/it] 50%|█████ | 30/60 [01:13<01:14, 2.47s/it] 52%|█████▏ | 31/60 [01:16<01:11, 2.47s/it] 53%|█████▎ | 32/60 [01:18<01:09, 2.48s/it] 55%|█████▌ | 33/60 [01:21<01:05, 2.43s/it] 57%|█████▋ | 34/60 [01:23<01:00, 2.33s/it] 58%|█████▊ | 35/60 [01:25<00:56, 2.28s/it] 60%|██████ | 36/60 [01:27<00:55, 2.30s/it] 62%|██████▏ | 37/60 [01:30<00:53, 2.32s/it] 63%|██████▎ | 38/60 [01:32<00:49, 2.27s/it] 65%|██████▌ | 39/60 [01:34<00:48, 2.32s/it] 67%|██████▋ | 40/60 [01:37<00:46, 2.32s/it] 68%|██████▊ | 41/60 [01:39<00:44, 2.33s/it] 70%|███████ | 42/60 [01:41<00:41, 2.29s/it] 72%|███████▏ | 43/60 [01:44<00:39, 2.35s/it] 73%|███████▎ | 44/60 [01:46<00:38, 2.38s/it] 75%|███████▌ | 45/60 [01:48<00:34, 2.31s/it] 77%|███████▋ | 46/60 [01:51<00:32, 2.35s/it] 78%|███████▊ | 47/60 [01:53<00:30, 2.37s/it] 80%|████████ | 48/60 [01:55<00:28, 2.38s/it] 82%|████████▏ | 49/60 [01:58<00:25, 2.34s/it] 83%|████████▎ | 50/60 [02:00<00:22, 2.26s/it] 85%|████████▌ | 51/60 [02:02<00:21, 2.37s/it] 87%|████████▋ | 52/60 [02:05<00:18, 2.31s/it] 88%|████████▊ | 53/60 [02:07<00:16, 2.30s/it] 90%|█████████ | 54/60 [02:09<00:14, 2.35s/it] 92%|█████████▏| 55/60 [02:12<00:11, 2.36s/it] 93%|█████████▎| 56/60 [02:14<00:09, 2.36s/it] 95%|█████████▌| 57/60 [02:16<00:07, 2.36s/it] 97%|█████████▋| 58/60 [02:19<00:04, 2.33s/it] 98%|█████████▊| 59/60 [02:21<00:02, 2.17s/it] 100%|██████████| 60/60 [02:22<00:00, 1.89s/it] 100%|██████████| 60/60 [02:22<00:00, 2.37s/it] Decoding latents in cuda:0... done in 2.28s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
1girl, Epically Gorgeous, 1960's Attire, at the Drive-In, night time, Ambient Neon Light, Medium Breasts, Text Logo "Doll-E", 2.5D Render, Unreal Engine 5 Render, 8k, Highly-detailed,
negative_prompt
Specify things to not see in the output
(Watermark:1.8), Bad Quality, Worst Quality, Black and White, B&W, (bad anatomy:1.5), (bad hands:1.5), 2-in-1, ugly, fusion, (nude:1.8)
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
896
height
Output image height
1152
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
1259924695
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++ 3M SDE
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
5.4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/3e375640b27840b1a907c76f822776eb/00000-1259924695.webp
https://files.tungsten.run/uploads/dddee3c0bb7b431d8d939b7d9d1f5dd7/00001-1259924696.webp
https://files.tungsten.run/uploads/7f2410b90ebd46e9981438d81661fd20/00002-1259924697.webp
Finished in 145.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1girl, Epically Gorgeous, 1960's Attire, at the Drive-In, night time, Ambient Neon Light, Medium Breasts, Text Logo "Doll-E", 2.5D Render, Unreal Engine 5 Render, 8k, Highly-detailed,, <lora:add-detail-xl:1.0> Full negative prompt: (Watermark:1.8), Bad Quality, Worst Quality, Black and White, B&W, (bad anatomy:1.5), (bad hands:1.5), 2-in-1, ugly, fusion, (nude:1.8) 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:01<01:53, 1.93s/it] 3%|▎ | 2/60 [00:04<02:11, 2.26s/it] 5%|▌ | 3/60 [00:06<02:16, 2.39s/it] 7%|▋ | 4/60 [00:09<02:19, 2.49s/it] 8%|▊ | 5/60 [00:12<02:21, 2.57s/it] 10%|█ | 6/60 [00:14<02:13, 2.47s/it] 12%|█▏ | 7/60 [00:16<02:07, 2.41s/it] 13%|█▎ | 8/60 [00:19<02:05, 2.41s/it] 15%|█▌ | 9/60 [00:21<02:03, 2.43s/it] 17%|█▋ | 10/60 [00:24<02:01, 2.43s/it] 18%|█▊ | 11/60 [00:26<02:00, 2.45s/it] 20%|██ | 12/60 [00:29<01:57, 2.46s/it] 22%|██▏ | 13/60 [00:31<01:55, 2.45s/it] 23%|██▎ | 14/60 [00:34<01:53, 2.47s/it] 25%|██▌ | 15/60 [00:36<01:49, 2.44s/it] 27%|██▋ | 16/60 [00:39<01:49, 2.49s/it] 28%|██▊ | 17/60 [00:41<01:49, 2.55s/it] 30%|███ | 18/60 [00:44<01:46, 2.53s/it] 32%|███▏ | 19/60 [00:46<01:43, 2.53s/it] 33%|███▎ | 20/60 [00:49<01:41, 2.54s/it] 35%|███▌ | 21/60 [00:51<01:39, 2.55s/it] 37%|███▋ | 22/60 [00:54<01:36, 2.53s/it] 38%|███▊ | 23/60 [00:56<01:32, 2.49s/it] 40%|████ | 24/60 [00:59<01:28, 2.46s/it] 42%|████▏ | 25/60 [01:01<01:23, 2.38s/it] 43%|████▎ | 26/60 [01:03<01:22, 2.41s/it] 45%|████▌ | 27/60 [01:06<01:21, 2.47s/it] 47%|████▋ | 28/60 [01:08<01:18, 2.46s/it] 48%|████▊ | 29/60 [01:11<01:16, 2.45s/it] 50%|█████ | 30/60 [01:13<01:14, 2.47s/it] 52%|█████▏ | 31/60 [01:16<01:11, 2.47s/it] 53%|█████▎ | 32/60 [01:18<01:09, 2.48s/it] 55%|█████▌ | 33/60 [01:21<01:05, 2.43s/it] 57%|█████▋ | 34/60 [01:23<01:00, 2.33s/it] 58%|█████▊ | 35/60 [01:25<00:56, 2.28s/it] 60%|██████ | 36/60 [01:27<00:55, 2.30s/it] 62%|██████▏ | 37/60 [01:30<00:53, 2.32s/it] 63%|██████▎ | 38/60 [01:32<00:49, 2.27s/it] 65%|██████▌ | 39/60 [01:34<00:48, 2.32s/it] 67%|██████▋ | 40/60 [01:37<00:46, 2.32s/it] 68%|██████▊ | 41/60 [01:39<00:44, 2.33s/it] 70%|███████ | 42/60 [01:41<00:41, 2.29s/it] 72%|███████▏ | 43/60 [01:44<00:39, 2.35s/it] 73%|███████▎ | 44/60 [01:46<00:38, 2.38s/it] 75%|███████▌ | 45/60 [01:48<00:34, 2.31s/it] 77%|███████▋ | 46/60 [01:51<00:32, 2.35s/it] 78%|███████▊ | 47/60 [01:53<00:30, 2.37s/it] 80%|████████ | 48/60 [01:55<00:28, 2.38s/it] 82%|████████▏ | 49/60 [01:58<00:25, 2.34s/it] 83%|████████▎ | 50/60 [02:00<00:22, 2.26s/it] 85%|████████▌ | 51/60 [02:02<00:21, 2.37s/it] 87%|████████▋ | 52/60 [02:05<00:18, 2.31s/it] 88%|████████▊ | 53/60 [02:07<00:16, 2.30s/it] 90%|█████████ | 54/60 [02:09<00:14, 2.35s/it] 92%|█████████▏| 55/60 [02:12<00:11, 2.36s/it] 93%|█████████▎| 56/60 [02:14<00:09, 2.36s/it] 95%|█████████▌| 57/60 [02:16<00:07, 2.36s/it] 97%|█████████▋| 58/60 [02:19<00:04, 2.33s/it] 98%|█████████▊| 59/60 [02:21<00:02, 2.17s/it] 100%|██████████| 60/60 [02:22<00:00, 1.89s/it] 100%|██████████| 60/60 [02:22<00:00, 2.37s/it] Decoding latents in cuda:0... done in 2.28s Move latents to cpu... done in 0.02s