Instructions to use XLabs-AI/flux-controlnet-collections with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-controlnet-collections with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-controlnet-collections", 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 README.md
#12
by Skyneta - opened
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license_name: flux-1-dev-non-commercial-license
|
|
| 4 |
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.
|
| 5 |
language:
|
| 6 |
- en
|
|
|
|
| 7 |
pipeline_tag: text-to-image
|
| 8 |
tags:
|
| 9 |
- Stable Diffusion
|
|
|
|
| 4 |
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.
|
| 5 |
language:
|
| 6 |
- en
|
| 7 |
+
- ka
|
| 8 |
pipeline_tag: text-to-image
|
| 9 |
tags:
|
| 10 |
- Stable Diffusion
|