Text-to-Image
Diffusers
Safetensors
GGUF
English
diffusion-distillation
adversarial-distillation
one-step
few-step
z-image-turbo
comfyui
nitrofusion2
Instructions to use ChenDY/NitroFusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChenDY/NitroFusion2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChenDY/NitroFusion2", 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 model card tags
Browse files
README.md
CHANGED
|
@@ -5,6 +5,16 @@ language:
|
|
| 5 |
pipeline_tag: text-to-image
|
| 6 |
library_name: diffusers
|
| 7 |
base_model: Tongyi-MAI/Z-Image-Turbo
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
# NitroFusion2: Bringing Adversarial Loss to the Text Stream of Multimodal Diffusion Transformers
|
|
|
|
| 5 |
pipeline_tag: text-to-image
|
| 6 |
library_name: diffusers
|
| 7 |
base_model: Tongyi-MAI/Z-Image-Turbo
|
| 8 |
+
tags:
|
| 9 |
+
- text-to-image
|
| 10 |
+
- diffusion-distillation
|
| 11 |
+
- adversarial-distillation
|
| 12 |
+
- one-step
|
| 13 |
+
- few-step
|
| 14 |
+
- z-image-turbo
|
| 15 |
+
- gguf
|
| 16 |
+
- comfyui
|
| 17 |
+
- nitrofusion2
|
| 18 |
---
|
| 19 |
|
| 20 |
# NitroFusion2: Bringing Adversarial Loss to the Text Stream of Multimodal Diffusion Transformers
|