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", torch_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:
- 4b0c5f993f16cfef16951e9339481c12d67a1453639f170437f05e358f3c3164
- Size of remote file:
- 14.6 kB
- SHA256:
- e6e1e4b0d065a3b1784cd7d4f85e10d3b016955d534cce9fb5cbf399ae384a19
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