Instructions to use jbilcke-hf/flux-dev-panorama-lora-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jbilcke-hf/flux-dev-panorama-lora-2 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("jbilcke-hf/flux-dev-panorama-lora-2") prompt = "HDRI panoramic view of TOK, visiting an amusement park about harry potter." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
optimizer.pt-trigger words
#6 opened over 1 year ago
by
MarioLuna
Dataset
➕ 2
#5 opened over 1 year ago
by
teraktor2003
Can you train it with schnell and make it commercially usable?
#4 opened almost 2 years ago
by
ryg81
Wrong name
5
#3 opened almost 2 years ago
by
roelfrenkema