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:
- 492811892725ecb738553032aae671330ac8094cf1f9cfa8e42806fa6db6d52a
- Size of remote file:
- 3.36 MB
- SHA256:
- f9d092fe892d090eb3271e435d3f57bd15937408388e456599bf2eff9c573e9f
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