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:
- e042fcd9b7b61b6d5c49174b95cfc6f19937eb9a3445579145a8010b8d6ea54f
- Size of remote file:
- 3.36 MB
- SHA256:
- b4e2e754ec147920758a7f1f9ff8d148a19a725e2a883140060323a5086bbad5
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