Instructions to use J-Douglas/pixel-character-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use J-Douglas/pixel-character-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("J-Douglas/pixel-character-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 879949a64715d6df6298b5ee3da9c46a0a93572edd8ed5f16762b4cedbc78257
- Size of remote file:
- 6.59 MB
- SHA256:
- 4bb2759671d33f0c39242fe824f190871af2e8c6587f81cca8663f034018bb3e
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