Instructions to use GenAIJake/d3xt3r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GenAIJake/d3xt3r with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("GenAIJake/d3xt3r") prompt = "d3xt3r dachshund oil painting" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1ff0fe87b133a2d85498262767b2ad24c5bd38431a2d0368e45ce1d33b151ff4
- Size of remote file:
- 39.8 MB
- SHA256:
- dfe641a2ec697510665bbb9efa3d04cf5c83ea0bb530bc8598a6410c419c33da
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