Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use JawadC/chevre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JawadC/chevre with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JawadC/chevre") prompt = "A close-up shot of chèvre cheese on a rustic wooden board, with warm natural light." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b5d8c3da53adaeec895a0b3725fb3f2b9a8df1ea221639235fee6e0d06ff5aee
- Size of remote file:
- 47.4 MB
- SHA256:
- 99eb3b277cf5906077bb8b8e67dd9f133206dfe72e0168ab745059cc5ece1820
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