Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use TE2G/aran_c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TE2G/aran_c 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TE2G/aran_c") prompt = "aran pullover knit sweater, mannequin, torso" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 943ab679ce38f9c65abfa23ab7c29a8e6698bde741ac94d9c25cf8da953075dd
- Size of remote file:
- 47.4 MB
- SHA256:
- b5a0142ed10528af130687f49a2ceb3fa6148f3ecdbaa6d58322f5907b798828
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