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:
- 45f98d689d5e285e1db6e9e48375e1c86066a7a88392d7a5bb673da5eb403549
- Size of remote file:
- 14.7 kB
- SHA256:
- 53bf39aea58d48451b9fa31478d24fe6912a5ccfa1859b93118b6e9d1e5f6f68
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