Instructions to use AlekseyCalvin/FluxKrea_HSTurbo_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/FluxKrea_HSTurbo_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/FluxKrea_HSTurbo_Diffusers", 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
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/FluxKrea_HSTurbo_Diffusers", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Flux Krea + Turbo (8-steps) + HSTcolor-Krea LoRA Experimental Merge
Converted to Diffusers format.
HSTcolor LoRA is HERE.
Single Safetensors fp8_e4m3fn checkpoint HERE.
license: other license_name: flux.1.dev-non-commercial-license license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
- Downloads last month
- -
Model tree for AlekseyCalvin/FluxKrea_HSTurbo_Diffusers
Base model
black-forest-labs/FLUX.1-dev Finetuned
black-forest-labs/FLUX.1-Krea-dev