Instructions to use alimama-creative/SD3-Controlnet-Inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alimama-creative/SD3-Controlnet-Inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alimama-creative/SD3-Controlnet-Inpainting", 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 config.json
Browse files- config.json +2 -1
config.json
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"patch_size": 2,
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"pooled_projection_dim": 2048,
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"pos_embed_max_size": 192,
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"sample_size": 128
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}
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"patch_size": 2,
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"pooled_projection_dim": 2048,
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"pos_embed_max_size": 192,
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"sample_size": 128,
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"extra_conditioning_channels": 1
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}
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