Instructions to use hum-ma/Flex.1-alpha-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hum-ma/Flex.1-alpha-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hum-ma/Flex.1-alpha-GGUF", 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
This is a direct GGUF conversion of flex.1 alpha 8B to be used with ComfyUI-GGUF by city96
Model creator: ostris
Original model: Flex.1-alpha
GGUF quantization: based on llama.cpp b3962 patched with ComfyUI-GGUF/tools/lcpp_sd3.patch
- Downloads last month
- 112
Hardware compatibility
Log In to add your hardware
3-bit
4-bit
5-bit
6-bit
8-bit
Model tree for hum-ma/Flex.1-alpha-GGUF
Base model
ostris/Flex.1-alpha