Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use codeiceman/noodle-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeiceman/noodle-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/noodle-model2") prompt = "I want to eat noodle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 887691332f4621ef9edf1d7ff3495a64c6fd92a6d3fcc5b8cb7d2b37baa7624a
- Size of remote file:
- 922 kB
- SHA256:
- fa03d1473dd608a74c88931afd35327c81227b81b782bd1f52e17e65f2006b78
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