Instructions to use obvious-research/FLUX.1-dev-ControlNet-Perspective with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obvious-research/FLUX.1-dev-ControlNet-Perspective with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("obvious-research/FLUX.1-dev-ControlNet-Perspective", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 993f7f335b7a655382ba8159731b27e5890f50d60df1ec70df31c5d1d19bb3b5
- Size of remote file:
- 5.77 GB
- SHA256:
- ac71afc888d91df31ce7db221469eee402a4989d78a7b2203e6405222a923632
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