Instructions to use emte/flux1-dev-copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use emte/flux1-dev-copy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("emte/flux1-dev-copy", 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
- Xet hash:
- 2527287e760aae1884aa96a21287bda9fc6afa25322e9d3e9633d062748f7c36
- Size of remote file:
- 23.8 GB
- SHA256:
- 4610115bb0c89560703c892c59ac2742fa821e60ef5871b33493ba544683abd7
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