Instructions to use artificialguybr/360Redmond with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/360Redmond 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("artificialguybr/360Redmond") prompt = "360 view" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Question about Lora Parameters and Dataset
#3
by sdeluna - opened
Hey, I love the images your model produced; I had some questions about how it was done and I would love to help improve the model if I could. Could you share more about the parameters you used during Lora Training, did you do any hyper parameter tuning? And is the dataset you used available on huggingface or anywhere else, if not could you share any details about the dataset?