chanel-fenn

65

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Keltezaa

Image Model

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New

65 downloads

Early-stage

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Quick Summary

Adult Model Victoria Sokolova aka Chanel Fenn, Victoria Minina, Sandra, Cali.

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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').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/chanel-fenn', weight_name='chanelfenn.safetensors')
image = pipeline('young woman, short wavy blonde hair,  in front of cookie monster from sesamestreet, woman is holding a cookie between her breasts, award winning photo, seductive, pink turtleneck sweater, seductive,').images[0]

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