Instructions to use timduck8/hedy14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timduck8/hedy14 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("timduck8/hedy14") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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CA014.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:14bb004912e836d5bca3a6f67aaec092a60065b8e72de4737e085d30ef1743c2
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size 343806416
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images/1751260672898828907_PgNTXYeu (1).jpg
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Git LFS Details
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images/1751260672898828907_PgNTXYeu.jpg
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Git LFS Details
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