Instructions to use personal1802/38 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/38 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("latent-consistency/lcm-lora-sdv1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/38") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files- images/WHITE.png +3 -0
- yabalMixAnirealistic_v4.safetensors +3 -0
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