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:
- 37984b49289327f29f15b6c2f6babb2740a726d0267623f21e76d837722de163
- Size of remote file:
- 1.03 MB
- SHA256:
- ec3dd6aff9f194a17496e5a30617dfaf1cfe6fbf0feafa7894c2cc7be1330446
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