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:
- 2b21efd5e6f877b0ab7ed73096d8d6fdabe5193d0e35439455497311b3266cde
- Size of remote file:
- 3.42 MB
- SHA256:
- 615e5688e29602be4ee730a15f18da14c460060a8baa5e7efb63bba85cf13927
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