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:
- 705019f11f4981e4b72fa0866fc920a475e5abf7d5d191d7907c88778f4d91a3
- Size of remote file:
- 1.68 MB
- SHA256:
- cbe426ce1974b6495a5de5b190ed20df81259cf18deca43b7b5f412304a8b174
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