Instructions to use jpawan33/kag-sd-100-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jpawan33/kag-sd-100-model 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-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jpawan33/kag-sd-100-model") 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:
- 6d3fb9473f7d067944f2a43fbd3848fcfbd17bc4fbd804500244fddeb478a550
- Size of remote file:
- 3.29 MB
- SHA256:
- 0288ff6aeb0d08cfb7874194ca5bbf8ac16dba911e04fc76fe39a83b12f2b3e6
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