Instructions to use linoyts/flux2-klein-lora-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use linoyts/flux2-klein-lora-v5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-base-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("linoyts/flux2-klein-lora-v5") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from linoyts/flux2-klein-lora-v5: direct link, hf CLI and curl.
- Browser
- Download file 68.9 MB
-
https://huggingface.co/linoyts/flux2-klein-lora-v5/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://linoyts/flux2-klein-lora-v5/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/linoyts/flux2-klein-lora-v5/resolve/main/checkpoint-2000/optimizer.bin
68.9 MB
- Xet hash:
- 487bb36a2e4daccd50744b4ca317dad93e216a042ef0ecf6cdedd8ce9b6ae841
- Size of remote file:
- 68.9 MB
- SHA256:
- d20b58e6bcfb1c7314a683bcdddf4720f8d0bd5da6fad0ff6c90d643a6fe5642
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