Instructions to use mratanusarkar/lora-trained-xl-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mratanusarkar/lora-trained-xl-colab 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("mratanusarkar/lora-trained-xl-colab") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e3cff0257bee4894c5607333548e5c4af5e86b6ab69d7ac94b38a065b26042bd
- Size of remote file:
- 23.7 MB
- SHA256:
- 45792e47728a5f16ef3ac7325d7d15d273c0cba51c7acb4dcfe0443686e74b60
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