Instructions to use VHKE/astranaut-flake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/astranaut-flake with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("VHKE/astranaut-flake") prompt = "astranaut flake" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
astranaut flake
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- astranaut flake
Trigger words
You should use astranaut flake to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
- Downloads last month
- 11
Model tree for VHKE/astranaut-flake
Base model
black-forest-labs/FLUX.1-dev