missing-teeth

11

BF16

—

by

Keltezaa

Image Model

OTHER

New

11 downloads

Early-stage

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Quick Summary

This LoRA is made for those who love beautiful smiles!

Code Examples

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/missing-teeth', weight_name='teethv1_rank16_bf16-step04000.safetensors')
image = pipeline('`d4nt4 a mouth with missing teeth`, `d4nt4 smiling widely to reveal several missing yellow teeth, with visible decay and discoloration, his teeth are in bad condition`').images[0]

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