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
- Draw Things
- DiffusionBee
- Xet hash:
- d7854101091c73d9fae04857209d51207b2f04a45d52089f756419b284120594
- Size of remote file:
- 1 kB
- SHA256:
- 8d4419738fc98908271b8063c0181b5f72caa6d44724b04a37d7044a136078d5
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