Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
simpletuner
lora
template:sd-lora
Instructions to use jsterlingvids/SmashBurgerTest02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jsterlingvids/SmashBurgerTest02 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("jsterlingvids/SmashBurgerTest02") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 08fc74353f09efa0d40848d91722b8d159ff7ee744178d4bb357b4a2e580a035
- Size of remote file:
- 583 MB
- SHA256:
- d747b2f8d93d65cae24e5f6dc124f2f3acfc090e4da2a27589884b00283487d9
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