Instructions to use Squiddy3/JenniferCarrollMacNeill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/JenniferCarrollMacNeill with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Squiddy3/JenniferCarrollMacNeill") prompt = "Jennifer Carroll MacNeill" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Squiddy3/JenniferCarrollMacNeill")
prompt = "Jennifer Carroll MacNeill"
image = pipe(prompt).images[0]Flux

- Prompt
- Jennifer Carroll MacNeill
Model description
Jennifer Carroll MacNeill
Trigger words
You should use Jennifer Carroll MacNeill to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Squiddy3/JenniferCarrollMacNeill
Base model
black-forest-labs/FLUX.1-dev