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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.
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Output
https://files.tungsten.run/uploads/d6d1133e845041b6afec13a9be168549/00000-721844428.webp
https://files.tungsten.run/uploads/5f58fd2e27c9453892799a83cf5c9365/00001-721844429.webp
https://files.tungsten.run/uploads/6c6fe377b9f84541b5d5cf2e33ce69e3/00002-721844430.webp
This example was created by evevalentine2017
Finished in 31.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: sunset floor long haircolor Rhodamine Red french happiness cinematic roman city (sensual women), <lora:sdxl_offset:0.3> 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<00:12, 4.20s/it] 50%|█████ | 2/4 [00:09<00:09, 4.89s/it] 75%|███████▌ | 3/4 [00:13<00:04, 4.37s/it] 100%|██████████| 4/4 [00:14<00:00, 3.15s/it] 100%|██████████| 4/4 [00:14<00:00, 3.65s/it] Decoding latents in cuda:0... done in 2.32s Move latents to cpu... done in 0.03s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.29s/it] 100%|██████████| 2/2 [00:01<00:00, 1.33it/s] 100%|██████████| 2/2 [00:01<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.26s/it] 100%|██████████| 2/2 [00:01<00:00, 1.35it/s] 100%|██████████| 2/2 [00:01<00:00, 1.22it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.27s/it] 100%|██████████| 2/2 [00:01<00:00, 1.34it/s] 100%|██████████| 2/2 [00:01<00:00, 1.21it/s] Decoding latents in cuda:0... done in 0.77s 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/d6d1133e845041b6afec13a9be168549/00000-721844428.webp
https://files.tungsten.run/uploads/5f58fd2e27c9453892799a83cf5c9365/00001-721844429.webp
https://files.tungsten.run/uploads/6c6fe377b9f84541b5d5cf2e33ce69e3/00002-721844430.webp
This example was created by evevalentine2017
Finished in 31.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: sunset floor long haircolor Rhodamine Red french happiness cinematic roman city (sensual women), <lora:sdxl_offset:0.3> 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<00:12, 4.20s/it] 50%|█████ | 2/4 [00:09<00:09, 4.89s/it] 75%|███████▌ | 3/4 [00:13<00:04, 4.37s/it] 100%|██████████| 4/4 [00:14<00:00, 3.15s/it] 100%|██████████| 4/4 [00:14<00:00, 3.65s/it] Decoding latents in cuda:0... done in 2.32s Move latents to cpu... done in 0.03s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.29s/it] 100%|██████████| 2/2 [00:01<00:00, 1.33it/s] 100%|██████████| 2/2 [00:01<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.26s/it] 100%|██████████| 2/2 [00:01<00:00, 1.35it/s] 100%|██████████| 2/2 [00:01<00:00, 1.22it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.27s/it] 100%|██████████| 2/2 [00:01<00:00, 1.34it/s] 100%|██████████| 2/2 [00:01<00:00, 1.21it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s Uploading outputs... Finished.