Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use JawadC/feta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JawadC/feta 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JawadC/feta") prompt = "A block of Feta cheese on a rustic wooden table." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_1.png from JawadC/feta: direct link, hf CLI and curl.
- Browser
- Download file 1.15 MB
-
https://huggingface.co/JawadC/feta/resolve/main/image_1.png
- Command line
-
hf download hf://JawadC/feta/image_1.png
-
curl -L -o image_1.png https://huggingface.co/JawadC/feta/resolve/main/image_1.png
1.15 MB

- Xet hash:
- 241d7e4cc8b8def2a0c602d8ddc17e8800e4c2e5d305e3079eeae96c44bcfe64
- Size of remote file:
- 1.15 MB
- SHA256:
- 2b190835d5ac0abc1658d5d1bf10e9c4395523dba492bc26e5ef1585b204e863
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