Instructions to use divagara/dpka1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use divagara/dpka1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("divagara/dpka1") prompt = "generate image of dpka" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add dpka1.safetensors
Browse files- dpka1.safetensors +3 -0
dpka1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:73d18aecd28370bae5ef7e456597c558669dce493569ca40ab907280b9c98026
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size 85092496
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