Instructions to use charchits7/tiny-chroma-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use charchits7/tiny-chroma-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("charchits7/tiny-chroma-pipe", 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
File size: 423 Bytes
67782e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"_class_name": "ChromaTransformer2DModel",
"_diffusers_version": "0.40.0.dev0",
"approximator_hidden_dim": 32,
"approximator_layers": 1,
"approximator_num_channels": 16,
"attention_head_dim": 16,
"axes_dims_rope": [
4,
4,
8
],
"in_channels": 4,
"joint_attention_dim": 32,
"num_attention_heads": 2,
"num_layers": 1,
"num_single_layers": 1,
"out_channels": null,
"patch_size": 1
}
|