Instructions to use TencentARC/ColorFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/ColorFlow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/ColorFlow", torch_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: 572 Bytes
0f80f02 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"num_attention_heads": 16,
"attention_head_dim": 72,
"in_channels": 4,
"cond_channels": 9,
"out_channels": 8,
"num_layers": 28,
"dropout": 0.0,
"norm_num_groups": 32,
"cross_attention_dim": 1152,
"attention_bias": true,
"sample_size": 128,
"patch_size": 2,
"activation_fn": "gelu-approximate",
"num_embeds_ada_norm": 1000,
"upcast_attention": false,
"norm_type": "ada_norm_single",
"norm_elementwise_affine": false,
"norm_eps": 1e-06,
"caption_channels": 4096,
"attention_type": "default"
} |