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
- Xet hash:
- b09973a555cdfa37e9189c7d70fe2d03fc719c00e3ade5c77ba2bbc8663a9661
- Size of remote file:
- 336 MB
- SHA256:
- e937110263c2b2013d9c94f43caded569f55efa39ed48862c6b9cf120c4e1999
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