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
- Xet hash:
- be1b0e354321cd4ffeed81f916d93229abd4fc800ee09449427deec7e3c74307
- Size of remote file:
- 173 MB
- SHA256:
- 09c98bb0b2280145810efaf224f4cce47d55b5fcfae123ebeac4276b0498c9d3
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