Instructions to use codeShare/unstableRevolution_SDNQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeShare/unstableRevolution_SDNQ with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codeShare/unstableRevolution_SDNQ", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update transformer/config.json
Browse files- transformer/config.json +0 -3
transformer/config.json
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"_diffusers_version": "0.38.0.dev0",
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"_name_or_path": "codeShare/FLUX.2-klein-AIO-SDNQ-4bit-dynamic",
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"attention_head_dim": 128,
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"auto_map": {
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"AutoModel": "modeling_flux2.Flux2Transformer2DModel"
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},
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"axes_dims_rope": [
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32,
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32,
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"_diffusers_version": "0.38.0.dev0",
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"_name_or_path": "codeShare/FLUX.2-klein-AIO-SDNQ-4bit-dynamic",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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32,
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32,
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