Instructions to use future-technologies/Floral-High-Dynamic-Range with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use future-technologies/Floral-High-Dynamic-Range with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("future-technologies/Floral-High-Dynamic-Range", 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
- Draw Things
- DiffusionBee
Upload 2 files
Browse files
.gitattributes
CHANGED
|
@@ -36,3 +36,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 36 |
*.sft filter=lfs diff=lfs merge=lfs -text
|
| 37 |
schnell_grid.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
schnell_grid.jpeg filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
| 36 |
*.sft filter=lfs diff=lfs merge=lfs -text
|
| 37 |
schnell_grid.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
schnell_grid.jpeg filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
floral-hdr-generation-output-example2.png filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
floral-hdr-generation-output-example3.png filter=lfs diff=lfs merge=lfs -text
|
floral-hdr-generation-output-example2.png
ADDED
|
Git LFS Details
|
floral-hdr-generation-output-example3.png
ADDED
|
Git LFS Details
|