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Iron Man Figurines with Fresh Ideas XL
fresh-ideas-xl:v1.0
evevalentine2017
evevalentine2017
·
May 27
5
Input
prompt
Specify things to see in the output
Design an Iron Man figurine on a stage with a white marble that feels it's by Dior and the splendor of glass, highly detailed, hyper detailed, ultra realistic, soft colors,
negative_prompt
Specify things to not see in the output
Bad quality, (extreme close up), (focus on face), worst quality, normal quality, low-res, sketch, poor design, deformed, disfigured, soft, bad composition, simple design, boring, watermark, error, cropped, blurry, nsfw
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
2813872309
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
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
7
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/23dadf2a5a9347ba9efe806db9049d3c/00000-2813872309.webp
https://files.tungsten.run/uploads/46851020c00a4aa9858667c0a596c460/00001-2813872310.webp
https://files.tungsten.run/uploads/df320f0de7f04984a9b833cffca9f3f3/00002-2813872311.webp
Finished in 67.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Design an Iron Man figurine on a stage with a white marble that feels it's by Dior and the splendor of glass, highly detailed, hyper detailed, ultra realistic, soft colors, Full negative prompt: Bad quality, (extreme close up), (focus on face), worst quality, normal quality, low-res, sketch, poor design, deformed, disfigured, soft, bad composition, simple design, boring, watermark, error, cropped, blurry, nsfw 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:00<00:51, 1.15it/s] 3%|▎ | 2/60 [00:01<00:51, 1.13it/s] 5%|▌ | 3/60 [00:02<00:50, 1.12it/s] 7%|▋ | 4/60 [00:03<00:50, 1.12it/s] 8%|▊ | 5/60 [00:04<00:49, 1.12it/s] 10%|█ | 6/60 [00:05<00:48, 1.11it/s] 12%|█▏ | 7/60 [00:06<00:47, 1.11it/s] 13%|█▎ | 8/60 [00:07<00:46, 1.11it/s] 15%|█▌ | 9/60 [00:08<00:45, 1.11it/s] 17%|█▋ | 10/60 [00:08<00:45, 1.11it/s] 18%|█▊ | 11/60 [00:09<00:44, 1.11it/s] 20%|██ | 12/60 [00:10<00:43, 1.11it/s] 22%|██▏ | 13/60 [00:11<00:42, 1.11it/s] 23%|██▎ | 14/60 [00:12<00:41, 1.11it/s] 25%|██▌ | 15/60 [00:13<00:40, 1.11it/s] 27%|██▋ | 16/60 [00:14<00:39, 1.11it/s] 28%|██▊ | 17/60 [00:15<00:38, 1.11it/s] 30%|███ | 18/60 [00:16<00:38, 1.10it/s] 32%|███▏ | 19/60 [00:17<00:37, 1.10it/s] 33%|███▎ | 20/60 [00:18<00:36, 1.10it/s] 35%|███▌ | 21/60 [00:18<00:35, 1.10it/s] 37%|███▋ | 22/60 [00:19<00:34, 1.10it/s] 38%|███▊ | 23/60 [00:20<00:33, 1.10it/s] 40%|████ | 24/60 [00:21<00:32, 1.10it/s] 42%|████▏ | 25/60 [00:22<00:31, 1.10it/s] 43%|████▎ | 26/60 [00:23<00:30, 1.10it/s] 45%|████▌ | 27/60 [00:24<00:30, 1.10it/s] 47%|████▋ | 28/60 [00:25<00:29, 1.10it/s] 48%|████▊ | 29/60 [00:26<00:28, 1.10it/s] 50%|█████ | 30/60 [00:27<00:27, 1.10it/s] 52%|█████▏ | 31/60 [00:28<00:26, 1.10it/s] 53%|█████▎ | 32/60 [00:28<00:25, 1.09it/s] 55%|█████▌ | 33/60 [00:29<00:24, 1.09it/s] 57%|█████▋ | 34/60 [00:30<00:23, 1.09it/s] 58%|█████▊ | 35/60 [00:31<00:22, 1.09it/s] 60%|██████ | 36/60 [00:32<00:21, 1.09it/s] 62%|██████▏ | 37/60 [00:33<00:21, 1.09it/s] 63%|██████▎ | 38/60 [00:34<00:20, 1.09it/s] 65%|██████▌ | 39/60 [00:35<00:19, 1.09it/s] 67%|██████▋ | 40/60 [00:36<00:18, 1.09it/s] 68%|██████▊ | 41/60 [00:37<00:17, 1.09it/s] 70%|███████ | 42/60 [00:38<00:16, 1.09it/s] 72%|███████▏ | 43/60 [00:39<00:15, 1.09it/s] 73%|███████▎ | 44/60 [00:39<00:14, 1.09it/s] 75%|███████▌ | 45/60 [00:40<00:13, 1.09it/s] 77%|███████▋ | 46/60 [00:41<00:12, 1.09it/s] 78%|███████▊ | 47/60 [00:42<00:11, 1.09it/s] 80%|████████ | 48/60 [00:43<00:11, 1.09it/s] 82%|████████▏ | 49/60 [00:44<00:10, 1.08it/s] 83%|████████▎ | 50/60 [00:45<00:09, 1.08it/s] 85%|████████▌ | 51/60 [00:46<00:08, 1.08it/s] 87%|████████▋ | 52/60 [00:47<00:07, 1.08it/s] 88%|████████▊ | 53/60 [00:48<00:06, 1.08it/s] 90%|█████████ | 54/60 [00:49<00:05, 1.08it/s] 92%|█████████▏| 55/60 [00:50<00:04, 1.08it/s] 93%|█████████▎| 56/60 [00:51<00:03, 1.08it/s] 95%|█████████▌| 57/60 [00:52<00:02, 1.08it/s] 97%|█████████▋| 58/60 [00:52<00:01, 1.08it/s] 98%|█████████▊| 59/60 [00:53<00:00, 1.08it/s] 100%|██████████| 60/60 [00:54<00:00, 1.08it/s] 100%|██████████| 60/60 [00:54<00:00, 1.10it/s] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.0s
prompt
Specify things to see in the output
Design an Iron Man figurine on a stage with a white marble that feels it's by Dior and the splendor of glass, highly detailed, hyper detailed, ultra realistic, soft colors,
negative_prompt
Specify things to not see in the output
Bad quality, (extreme close up), (focus on face), worst quality, normal quality, low-res, sketch, poor design, deformed, disfigured, soft, bad composition, simple design, boring, watermark, error, cropped, blurry, nsfw
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
2813872309
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
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
7
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/23dadf2a5a9347ba9efe806db9049d3c/00000-2813872309.webp
https://files.tungsten.run/uploads/46851020c00a4aa9858667c0a596c460/00001-2813872310.webp
https://files.tungsten.run/uploads/df320f0de7f04984a9b833cffca9f3f3/00002-2813872311.webp
Finished in 67.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Design an Iron Man figurine on a stage with a white marble that feels it's by Dior and the splendor of glass, highly detailed, hyper detailed, ultra realistic, soft colors, Full negative prompt: Bad quality, (extreme close up), (focus on face), worst quality, normal quality, low-res, sketch, poor design, deformed, disfigured, soft, bad composition, simple design, boring, watermark, error, cropped, blurry, nsfw 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:00<00:51, 1.15it/s] 3%|▎ | 2/60 [00:01<00:51, 1.13it/s] 5%|▌ | 3/60 [00:02<00:50, 1.12it/s] 7%|▋ | 4/60 [00:03<00:50, 1.12it/s] 8%|▊ | 5/60 [00:04<00:49, 1.12it/s] 10%|█ | 6/60 [00:05<00:48, 1.11it/s] 12%|█▏ | 7/60 [00:06<00:47, 1.11it/s] 13%|█▎ | 8/60 [00:07<00:46, 1.11it/s] 15%|█▌ | 9/60 [00:08<00:45, 1.11it/s] 17%|█▋ | 10/60 [00:08<00:45, 1.11it/s] 18%|█▊ | 11/60 [00:09<00:44, 1.11it/s] 20%|██ | 12/60 [00:10<00:43, 1.11it/s] 22%|██▏ | 13/60 [00:11<00:42, 1.11it/s] 23%|██▎ | 14/60 [00:12<00:41, 1.11it/s] 25%|██▌ | 15/60 [00:13<00:40, 1.11it/s] 27%|██▋ | 16/60 [00:14<00:39, 1.11it/s] 28%|██▊ | 17/60 [00:15<00:38, 1.11it/s] 30%|███ | 18/60 [00:16<00:38, 1.10it/s] 32%|███▏ | 19/60 [00:17<00:37, 1.10it/s] 33%|███▎ | 20/60 [00:18<00:36, 1.10it/s] 35%|███▌ | 21/60 [00:18<00:35, 1.10it/s] 37%|███▋ | 22/60 [00:19<00:34, 1.10it/s] 38%|███▊ | 23/60 [00:20<00:33, 1.10it/s] 40%|████ | 24/60 [00:21<00:32, 1.10it/s] 42%|████▏ | 25/60 [00:22<00:31, 1.10it/s] 43%|████▎ | 26/60 [00:23<00:30, 1.10it/s] 45%|████▌ | 27/60 [00:24<00:30, 1.10it/s] 47%|████▋ | 28/60 [00:25<00:29, 1.10it/s] 48%|████▊ | 29/60 [00:26<00:28, 1.10it/s] 50%|█████ | 30/60 [00:27<00:27, 1.10it/s] 52%|█████▏ | 31/60 [00:28<00:26, 1.10it/s] 53%|█████▎ | 32/60 [00:28<00:25, 1.09it/s] 55%|█████▌ | 33/60 [00:29<00:24, 1.09it/s] 57%|█████▋ | 34/60 [00:30<00:23, 1.09it/s] 58%|█████▊ | 35/60 [00:31<00:22, 1.09it/s] 60%|██████ | 36/60 [00:32<00:21, 1.09it/s] 62%|██████▏ | 37/60 [00:33<00:21, 1.09it/s] 63%|██████▎ | 38/60 [00:34<00:20, 1.09it/s] 65%|██████▌ | 39/60 [00:35<00:19, 1.09it/s] 67%|██████▋ | 40/60 [00:36<00:18, 1.09it/s] 68%|██████▊ | 41/60 [00:37<00:17, 1.09it/s] 70%|███████ | 42/60 [00:38<00:16, 1.09it/s] 72%|███████▏ | 43/60 [00:39<00:15, 1.09it/s] 73%|███████▎ | 44/60 [00:39<00:14, 1.09it/s] 75%|███████▌ | 45/60 [00:40<00:13, 1.09it/s] 77%|███████▋ | 46/60 [00:41<00:12, 1.09it/s] 78%|███████▊ | 47/60 [00:42<00:11, 1.09it/s] 80%|████████ | 48/60 [00:43<00:11, 1.09it/s] 82%|████████▏ | 49/60 [00:44<00:10, 1.08it/s] 83%|████████▎ | 50/60 [00:45<00:09, 1.08it/s] 85%|████████▌ | 51/60 [00:46<00:08, 1.08it/s] 87%|████████▋ | 52/60 [00:47<00:07, 1.08it/s] 88%|████████▊ | 53/60 [00:48<00:06, 1.08it/s] 90%|█████████ | 54/60 [00:49<00:05, 1.08it/s] 92%|█████████▏| 55/60 [00:50<00:04, 1.08it/s] 93%|█████████▎| 56/60 [00:51<00:03, 1.08it/s] 95%|█████████▌| 57/60 [00:52<00:02, 1.08it/s] 97%|█████████▋| 58/60 [00:52<00:01, 1.08it/s] 98%|█████████▊| 59/60 [00:53<00:00, 1.08it/s] 100%|██████████| 60/60 [00:54<00:00, 1.08it/s] 100%|██████████| 60/60 [00:54<00:00, 1.10it/s] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.0s