Instructions to use AnubhutiBhardwaj/stable_diffusion_christmasclamation_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AnubhutiBhardwaj/stable_diffusion_christmasclamation_generation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AnubhutiBhardwaj/stable_diffusion_christmasclamation_generation") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 7366cbf94720674f20a1c2376427e10b454bbac74a2648bca7e738096b998b96
- Size of remote file:
- 1.38 MB
- SHA256:
- 2fc7264b331cf9e42c250e4c6bf5faab93ebdd17ad8fa02f84f75e8705902cef
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