Instructions to use sujithrex/bishop_robert_caldwell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sujithrex/bishop_robert_caldwell 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("sujithrex/bishop_robert_caldwell") prompt = "robertcaldwell" 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("sujithrex/bishop_robert_caldwell")
prompt = "robertcaldwell"
image = pipe(prompt).images[0]- Downloads last month
- 9
Model tree for sujithrex/bishop_robert_caldwell
Base model
black-forest-labs/FLUX.1-dev