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
Update README.md
Browse files
README.md
CHANGED
|
@@ -22,6 +22,11 @@ datasets:
|
|
| 22 |
- k-mktr/improved-flux-prompts-photoreal-portrait
|
| 23 |
- Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3
|
| 24 |
- Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
---
|
| 26 |
# Floral High Dynamic Range | Large Image Generation Model
|
| 27 |
<div style="display: flex; justify-content: center;">
|
|
|
|
| 22 |
- k-mktr/improved-flux-prompts-photoreal-portrait
|
| 23 |
- Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3
|
| 24 |
- Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
|
| 25 |
+
- meta-math/MetaMathQA
|
| 26 |
+
- HuggingFaceTB/finemath
|
| 27 |
+
- HuggingFaceFW/fineweb
|
| 28 |
+
- Rapidata/human-style-preferences-images
|
| 29 |
+
- Rapidata/text-2-image-Rich-Human-Feedback
|
| 30 |
---
|
| 31 |
# Floral High Dynamic Range | Large Image Generation Model
|
| 32 |
<div style="display: flex; justify-content: center;">
|