Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use codeiceman/rice-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeiceman/rice-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/rice-model2") prompt = "I want to eat delicious rice or fried rice" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3361e68c24fc79492ac34fd667ac76899b86eeb1f5d0b9eadf9162c7590a3af7
- Size of remote file:
- 3.36 MB
- SHA256:
- 814025f8fcb544e2e0a925659178199a36cf13169383b0c219fde7ae65bd82d8
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