Instructions to use DavyMorgan/tiny-controlnet-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DavyMorgan/tiny-controlnet-sd3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DavyMorgan/tiny-controlnet-sd3", 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
File size: 392 Bytes
0cc0be0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"_class_name": "SD3ControlNetModel",
"_diffusers_version": "0.31.0.dev0",
"attention_head_dim": 8,
"caption_projection_dim": 32,
"extra_conditioning_channels": 0,
"in_channels": 8,
"joint_attention_dim": 32,
"num_attention_heads": 4,
"num_layers": 1,
"out_channels": 8,
"patch_size": 1,
"pooled_projection_dim": 64,
"pos_embed_max_size": 96,
"sample_size": 32
}
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