Instructions to use CodeGoat24/FLUX.1-dev-UnifiedReward-Flex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CodeGoat24/FLUX.1-dev-UnifiedReward-Flex with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CodeGoat24/FLUX.1-dev-UnifiedReward-Flex", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 6db3c2a0a9e0802dae361e504eba7d50235f5df2ec44fa190dfd96221fd7be3a
- Size of remote file:
- 47.6 GB
- SHA256:
- 7a8337607b437ee704af6b996a271a59043e7298f7fb6d9b0cb275f692b8f087
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