Instructions to use gatilin/nitrofusion2-dit-refiners with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gatilin/nitrofusion2-dit-refiners with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gatilin/nitrofusion2-dit-refiners", 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
Download component_config.json from gatilin/nitrofusion2-dit-refiners: direct link, hf CLI and curl.
- Browser
- Download file 982 Bytes
-
https://huggingface.co/gatilin/nitrofusion2-dit-refiners/resolve/main/component_config.json
- Command line
-
hf download hf://gatilin/nitrofusion2-dit-refiners/component_config.json
-
curl -L -o component_config.json https://huggingface.co/gatilin/nitrofusion2-dit-refiners/resolve/main/component_config.json
982 Bytes
| { | |
| "kind": "dit-refiner", | |
| "source_repo": "ChenDY/NitroFusion2", | |
| "source_revision": "62d1a7000af9c46a0c4348d936bd7670ff33c1b9", | |
| "prefixes": ["noise_refiner.", "context_refiner."], | |
| "block_class": "ZImageTransformerBlock", | |
| "block_module": "diffusers.models.transformers.transformer_z_image", | |
| "source_declared_diffusers_version": "0.36.0.dev0", | |
| "validated_diffusers_version": "0.36.0", | |
| "naming": "original checkpoint tensor names preserved; load_state_dict(strict=True) with no prefix stripping", | |
| "excluded": "layers.* (30-layer MMDiT trunk), all_x_embedder.*, all_final_layer.*, cap_embedder.*, t_embedder.*, x_pad_token, cap_pad_token", | |
| "input_adapters_required": "noise_refiner expects embedded noisy latent patches from all_x_embedder plus adaLN conditioning from t_embedder; context_refiner expects caption features from cap_embedder. Those adapters are not included in this component and must be taken from the source repository.", | |
| "license": "Apache-2.0" | |
| } |