Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use codeiceman/beaf-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeiceman/beaf-model2 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-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codeiceman/beaf-model2") prompt = "I want to eat delicious meal made of beef or steak" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f47c91d757d171f45ea708829ee2b0022de6b609a6b97f54681c9f78db82dd12
- Size of remote file:
- 1.12 MB
- SHA256:
- 15bfec764950629ea4bf552ef871de56a72b8b16b86de3ee6b1da88f05146d86
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