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:
- af36514c1a26e4790de1e2fda873f45bcded56dd1d1802f34264995b1e0365e9
- Size of remote file:
- 6.59 MB
- SHA256:
- 151a26d967215c04df1152e700d717c15d920e87d8edd01f6803c233efb41ecb
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