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:
- c03d21c91ab46429437943de6cd7e7e3ca9fc35d9b842a8fc1864bfabf69f9ba
- Size of remote file:
- 2.88 GB
- SHA256:
- f83caa71eca903c7b83fb5d3fb41bb32d786f915cb46f67123622a7d332aacfa
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