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 Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -24,9 +24,6 @@ tags:
|
|
| 24 |
|
| 25 |
<img src="./floral-hdr-generation-output-example.png" alt="Floral HDR Grid" width="300" height="300">
|
| 26 |
|
| 27 |
-
|
| 28 |
-
## Model Details
|
| 29 |
-
|
| 30 |
**Floral High Dynamic Range (LIGM):**
|
| 31 |
*A Large Image Generation Model (LIGM) celebrated for its exceptional accuracy in generating high-quality, highly detailed scenes like never seen before! Derived from the groundbreaking Floral AI Model—renowned for its use in film generation—this model marks a milestone in image synthesis technology.*
|
| 32 |
|
|
|
|
| 24 |
|
| 25 |
<img src="./floral-hdr-generation-output-example.png" alt="Floral HDR Grid" width="300" height="300">
|
| 26 |
|
|
|
|
|
|
|
|
|
|
| 27 |
**Floral High Dynamic Range (LIGM):**
|
| 28 |
*A Large Image Generation Model (LIGM) celebrated for its exceptional accuracy in generating high-quality, highly detailed scenes like never seen before! Derived from the groundbreaking Floral AI Model—renowned for its use in film generation—this model marks a milestone in image synthesis technology.*
|
| 29 |
|