Instructions to use Rofla/LDA_Train_Rofla_DataSet_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rofla/LDA_Train_Rofla_DataSet_Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rofla/LDA_Train_Rofla_DataSet_Model", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
model_index.json
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unet/diffusion_pytorch_model.safetensors
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vqvae/diffusion_pytorch_model.safetensors
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