Instructions to use vhanla/testkn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vhanla/testkn 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("vhanla/testkn") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from vhanla/testkn: direct link, hf CLI and curl.
- Browser
- Download file 219 Bytes
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https://huggingface.co/vhanla/testkn/resolve/main/README.md
- Command line
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hf download hf://vhanla/testkn/README.md
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curl -L -o README.md https://huggingface.co/vhanla/testkn/resolve/main/README.md
219 Bytes
metadata
base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora