Instructions to use Anibaaal/Flux-Fusion-DS-merge-gguf-nf4-fp4-fp8-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Anibaaal/Flux-Fusion-DS-merge-gguf-nf4-fp4-fp8-fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Anibaaal/Flux-Fusion-DS-merge-gguf-nf4-fp4-fp8-fp16", 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
metadata
license: other
language:
- en
pipeline_tag: text-to-image
tags:
- flux
- flux.1
- flux.1-schnell
- flux.1-dev
- flux-merge
- merge
Merge of Schnell and Dev variants of the Flux.1 model, almost all block are set to different ratios so it's not a perfect proportion of each model.
Recommended 8 steps from brief testing, but works from 4+. If textures like skin looks overdone, reduce to 4 steps.
VAE and CLIP included in .safetensors file
Weights version comparison
- "Extreme closeup, frog face, star crystal structure, intricate designs, glowing hues. Extreme depth of field, celestial light, shimmering details, otherworldly charm, majestic elegance."
- Test parameters: 8 Steps, CFG 3.5, 1536x1536, seed 0








