Instructions to use hjh3927/flux-fill-chart1-2-data-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjh3927/flux-fill-chart1-2-data-lora 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-Fill-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hjh3927/flux-fill-chart1-2-data-lora") prompt = "Three-panel image. [Left]: Full infographic with data elements and decorations. [Center]: Only data elements(bars, pie or annular sectors, lines, scatter points). [Right]: Only decorative elements(text labels, titles, icons, pictograms, arrows). Center and Right are complementary, together forming the Left." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 8e209a961fa00fc60652907acdf8047ebbaaa190d5b49a3d6638d1c45664ee83
- Size of remote file:
- 605 kB
- SHA256:
- 2466e5bed0390a2d54ad5d3a8f74c5cb71651789a735d8f840a3d8d72c1fdd74
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