Text-to-Image
Diffusers
flux
flux-diffusers
image-to-image
simpletuner
Not-For-All-Audiences
lora
template:sd-lora
standard
Instructions to use codingrobot/simpletuner-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codingrobot/simpletuner-lora 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("codingrobot/simpletuner-lora") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1fd9705af0f02935afda8b9b24085cff2c1aa99709272d83ace6f8e203451bc7
- Size of remote file:
- 37.4 MB
- SHA256:
- a3307885e59403510b0d70426bfb719c5cf1a2c970a1ef4db426fcc914801269
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