Instructions to use CutePickle/FLUX.1-Fill-dev-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CutePickle/FLUX.1-Fill-dev-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CutePickle/FLUX.1-Fill-dev-nf4", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# Flux.1Fill-dev-nf4
|
| 2 |
|
| 3 |
This is a custom **Flux.1 Fill pipeline** that combines:
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
base_model:
|
| 5 |
+
- black-forest-labs/FLUX.1-dev
|
| 6 |
+
tags:
|
| 7 |
+
- art
|
| 8 |
+
---
|
| 9 |
# Flux.1Fill-dev-nf4
|
| 10 |
|
| 11 |
This is a custom **Flux.1 Fill pipeline** that combines:
|