Instructions to use antikpatel128/OUTPUT_DIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antikpatel128/OUTPUT_DIR 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("antikpatel128/OUTPUT_DIR") 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:
- 18a5f6a95725f3aa7ba994346ea24c0e148ed81f82bf7230374931ec8686980c
- Size of remote file:
- 563 Bytes
- SHA256:
- 73fd5f417d1b160455bac391e57c588efe13ffb8e7c4ae93ce40d27dbbb261b5
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