casey

7

3

—

by

openfree

Image Model

OTHER

New

7 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

Unknown

Mobile

Laptop

Server

Quick Summary

You should use `casey` to trigger the image generation.

Code Examples

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

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

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/casey', weight_name='casey.safetensors')
image = pipeline('A person in a bustling cafe casey').images[0]
image.save("my_image.png")

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.