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:
- 359d10592c137a0bbcb620fdc295a08c7fcb91f39c3433b8087727da1a970308
- Size of remote file:
- 3.29 MB
- SHA256:
- 8903d7ef8138b21d6a1eedb432e446b57a18fdb37e59f122ccc6eb4d131f07e7
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