Instructions to use codeShare/Klein9B-DarkBeast-SDNQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeShare/Klein9B-DarkBeast-SDNQ-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codeShare/Klein9B-DarkBeast-SDNQ-4bit", 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
Update unquant_transformer/model_index.json
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unquant_transformer/model_index.json
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"_class_name": "Flux2Transformer2DModel",
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"_diffusers_version": "0.37.0.dev0"
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}
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"_class_name": "Flux2Transformer2DModel",
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"_diffusers_version": "0.37.0.dev0",
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"transformer": {
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"_class_name": "Flux2Transformer2DModel",
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"_diffusers_version": "0.37.0.dev0"
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}
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}
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