Instructions to use tiny-random/flux-3-image-klein-comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tiny-random/flux-3-image-klein-comfy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tiny-random/flux-3-image-klein-comfy", 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
File size: 439 Bytes
a1d8638 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | [build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"
[project]
name = "sglang-flux3-config"
version = "0.1.0"
description = "Configuration-driven native FLUX 3 loading for SGLang"
requires-python = ">=3.10"
dependencies = ["sglang>=0.5.23.dev384"]
[project.entry-points."sglang.multimodal_gen.plugins"]
flux3_config = "sglang_flux3_config:register"
[tool.setuptools]
py-modules = ["sglang_flux3_config"]
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