Text-to-Image
Diffusers
Safetensors
English
Flux2KleinPipeline
flux2_klein
image-editing
diffusion
quantized
quantfunc
flux
Instructions to use QuantFunc/Klein-9B-Series with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QuantFunc/Klein-9B-Series with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("QuantFunc/Klein-9B-Series", 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
sync model_index.json from ModelScope
Browse files- model_index.json +5 -0
model_index.json
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{
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"_class_name": "Flux2KleinPipeline",
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"_diffusers_version": "0.37.0",
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"_comment": "Minimal index enabling HF Hub download statistics. Loading uses the QuantFunc toolkit; see README."
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}
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