Instructions to use GuangyuanSD/FLUX.2-klein-9B-Blitz-ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GuangyuanSD/FLUX.2-klein-9B-Blitz-ComfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GuangyuanSD/FLUX.2-klein-9B-Blitz-ComfyUI", 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
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README.md
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@@ -22,6 +22,9 @@ It also fully fixes the portrait reference issue from the previous **DB BlitZ**
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Special thanks to the scheme provider: [https://github.com/alisson-anjos](https://github.com/alisson-anjos) for the powerful BFS foundation that powers this breakthrough.🟦
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**Important notes**:
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Alternatively, it can be directly applied to the entire Klein 9b/Qwen Edit base and Fine-tune models, through **LoRA Adapter** parameter injection.
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Special thanks to the scheme provider: [https://github.com/alisson-anjos](https://github.com/alisson-anjos) for the powerful BFS foundation that powers this breakthrough.🟦
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**Important notes**:
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Alternatively, it can be directly applied to the entire Klein 9b/Qwen Edit base and Fine-tune models, through **LoRA Adapter** parameter injection.
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