Instructions to use tensor-diffusion/EveryLoRA_v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensor-diffusion/EveryLoRA_v1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tensor-diffusion/EveryLoRA_v1.0", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a1191e611f7d76c57a874698db47798cc6ca27277de104ec135cf81ba95853e3
- Size of remote file:
- 1.39 GB
- SHA256:
- ef5a4aee39cc1244f3a710afa632d84085a03032ecd342323e027295620bf2d0
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