Instructions to use 24aittl/control06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 24aittl/control06 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("24aittl/control06", 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
Upload FLUX.1 ControlNet model
Browse files
multi3_512/5000/config.json
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{
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"_class_name": "FluxControlNetModel",
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"_diffusers_version": "0.32.0",
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"_name_or_path": "./checkpoints/checkpoint-
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"attention_head_dim": 128,
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"axes_dims_rope": [
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16,
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{
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"_class_name": "FluxControlNetModel",
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"_diffusers_version": "0.32.0",
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"_name_or_path": "./checkpoints/checkpoint-4000",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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16,
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multi3_512/5000/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 6373482560
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version https://git-lfs.github.com/spec/v1
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oid sha256:727050cff991e8f530a654e30ddcd9d1dada2470588d9628f69e6b8fd87a2400
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size 6373482560
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