Text-to-Image
Diffusers
Safetensors
English
flux
flux2
vae
hdr
ultrahd
cinematic
high-detail
image-enhancement
texture-recovery
sharpness-enhancement
color-enhancement
microcontrast
raw
generative-ai
stable-diffusion
diffusion
latent-space
photorealistic
neural-compression
reconstruction
fp16
inference
image-generation
visual-quality
machine-learning
ai-art
flux-compatible
Instructions to use Felldude/FLUX.2-HDR-VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Felldude/FLUX.2-HDR-VAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Felldude/FLUX.2-HDR-VAE", 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
|
@@ -1,4 +1,3 @@
|
|
| 1 |
-
```yaml
|
| 2 |
---
|
| 3 |
license: other
|
| 4 |
language:
|
|
@@ -33,10 +32,6 @@ tags:
|
|
| 33 |
- machine-learning
|
| 34 |
- ai-art
|
| 35 |
- flux-compatible
|
| 36 |
-
base_model:
|
| 37 |
-
- FLUX.2
|
| 38 |
-
- FLUX.2 Klein
|
| 39 |
-
- Ernie
|
| 40 |
model_type: Variational Autoencoder (VAE)
|
| 41 |
datasets:
|
| 42 |
- internal-evaluation-suite
|
|
@@ -319,4 +314,4 @@ Precision support:
|
|
| 319 |
# Disclaimer
|
| 320 |
|
| 321 |
This VAE intentionally modifies reconstruction characteristics to improve perceptual aesthetics. Metric increases in LPIPS are expected and are part of the enhancement-oriented design philosophy.
|
| 322 |
-
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: other
|
| 3 |
language:
|
|
|
|
| 32 |
- machine-learning
|
| 33 |
- ai-art
|
| 34 |
- flux-compatible
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
model_type: Variational Autoencoder (VAE)
|
| 36 |
datasets:
|
| 37 |
- internal-evaluation-suite
|
|
|
|
| 314 |
# Disclaimer
|
| 315 |
|
| 316 |
This VAE intentionally modifies reconstruction characteristics to improve perceptual aesthetics. Metric increases in LPIPS are expected and are part of the enhancement-oriented design philosophy.
|
| 317 |
+
--
|