Instructions to use TRPJ/flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TRPJ/flux1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TRPJ/flux1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload 4xNomosUniDAT2_box.pth
Browse files- 4xNomosUniDAT2_box.pth +3 -0
4xNomosUniDAT2_box.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b37cf49eb189dc4f2d847fe6e7f06229b13218e2a1138e88b47527692098fb5
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size 140340951
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