once-upon-a-time-cartoon-style-flux-v3

14

1

—

by

Norod78

Image Model

OTHER

New

14 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

Unknown

Mobile

Laptop

Server

Quick Summary

Once Upon a Time... ("Il était une fois...") is a French educational animation franchise. Use ouat cartoon in your prompts Fine tuned with Astria AI A LoRA scal...

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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').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('Norod78/once-upon-a-time-cartoon-style-flux-v3', weight_name='ouat_cartoon-OnceUponATimeV3-Flux-2142990.safetensors')
image = pipeline('A socially awkward potato ouat cartoon ').images[0]

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.