Instructions to use CaaretAI/FLUX.1-dev-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CaaretAI/FLUX.1-dev-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CaaretAI/FLUX.1-dev-FP8", 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
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Download CAARET_MINING.md from CaaretAI/FLUX.1-dev-FP8: direct link, hf CLI and curl.
- Browser
- Download file 276 Bytes
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https://huggingface.co/CaaretAI/FLUX.1-dev-FP8/resolve/main/CAARET_MINING.md
- Command line
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hf download hf://CaaretAI/FLUX.1-dev-FP8/CAARET_MINING.md
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curl -L -o CAARET_MINING.md https://huggingface.co/CaaretAI/FLUX.1-dev-FP8/resolve/main/CAARET_MINING.md
276 Bytes