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bloom-turbo-xl
bloom-turbo-xl

bloom-turbo-xl

4 stars
Version: lightning
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/e687711f99594eb4b8fc1870024cc854/00000-721844428.webp
https://files.tungsten.run/uploads/6f8e5c82c22d4c7d9eb27dc1bc8998af/00001-721844429.webp
https://files.tungsten.run/uploads/014122a47c14442ab791c58837e09427/00002-721844430.webp
This example was created by evevalentine2017
Finished in 35.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, best quality, extremely detailed, photorealistic, on pale black paper, Ikebana, bust of a Rickety (Iron:1.2), detailed with Neoprene details, intricate details, 800mm lens, Unsplash, surrealism art stylized by Unica Zürn, moody, <lora:sdxl_offset:1> Full negative prompt: nude, nudity, nipples, nsfw, topless, bottomless, (low quality, worst quality:1.2), lowres, multiple views, border, (grayscale, grainy), (watermark, signature, text:1.1), underexposed, overexposed, oversaturated, low saturation, epiCNegative 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:04<00:13, 4.59s/it] 50%|█████ | 2/4 [00:08<00:08, 4.24s/it] 75%|███████▌ | 3/4 [00:11<00:03, 3.60s/it] 100%|██████████| 4/4 [00:12<00:00, 2.56s/it] 100%|██████████| 4/4 [00:12<00:00, 3.09s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 189.0ms Speed: 3.3ms preprocess, 189.0ms inference, 18.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.17s/it] 100%|██████████| 2/2 [00:01<00:00, 1.44it/s] 100%|██████████| 2/2 [00:01<00:00, 1.29it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.8ms Speed: 2.5ms preprocess, 8.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.10s/it] 100%|██████████| 2/2 [00:01<00:00, 1.48it/s] 100%|██████████| 2/2 [00:01<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.4ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.11s/it] 100%|██████████| 2/2 [00:01<00:00, 1.50it/s] 100%|██████████| 2/2 [00:01<00:00, 1.37it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/e687711f99594eb4b8fc1870024cc854/00000-721844428.webp
https://files.tungsten.run/uploads/6f8e5c82c22d4c7d9eb27dc1bc8998af/00001-721844429.webp
https://files.tungsten.run/uploads/014122a47c14442ab791c58837e09427/00002-721844430.webp
This example was created by evevalentine2017
Finished in 35.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, best quality, extremely detailed, photorealistic, on pale black paper, Ikebana, bust of a Rickety (Iron:1.2), detailed with Neoprene details, intricate details, 800mm lens, Unsplash, surrealism art stylized by Unica Zürn, moody, <lora:sdxl_offset:1> Full negative prompt: nude, nudity, nipples, nsfw, topless, bottomless, (low quality, worst quality:1.2), lowres, multiple views, border, (grayscale, grainy), (watermark, signature, text:1.1), underexposed, overexposed, oversaturated, low saturation, epiCNegative 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:04<00:13, 4.59s/it] 50%|█████ | 2/4 [00:08<00:08, 4.24s/it] 75%|███████▌ | 3/4 [00:11<00:03, 3.60s/it] 100%|██████████| 4/4 [00:12<00:00, 2.56s/it] 100%|██████████| 4/4 [00:12<00:00, 3.09s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 189.0ms Speed: 3.3ms preprocess, 189.0ms inference, 18.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.17s/it] 100%|██████████| 2/2 [00:01<00:00, 1.44it/s] 100%|██████████| 2/2 [00:01<00:00, 1.29it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.8ms Speed: 2.5ms preprocess, 8.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.10s/it] 100%|██████████| 2/2 [00:01<00:00, 1.48it/s] 100%|██████████| 2/2 [00:01<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.4ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.11s/it] 100%|██████████| 2/2 [00:01<00:00, 1.50it/s] 100%|██████████| 2/2 [00:01<00:00, 1.37it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.