Instructions to use StableDiffusionVN/SDVN_Flux_2k_Realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StableDiffusionVN/SDVN_Flux_2k_Realistic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("StableDiffusionVN/SDVN_Flux_2k_Realistic", 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
Info Train
- Steps: 167.850
- Epochs: 150
- Size train: 2048
- Image train: 1119
Train by
Colab:
Colab Training Lora:
Comfy Workflow:
Comfy Node:
- SDVN Comfy Node: https://github.com/StableDiffusionVN/SDVN_Comfy_node
- Downloads last month
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Model tree for StableDiffusionVN/SDVN_Flux_2k_Realistic
Base model
black-forest-labs/FLUX.1-dev.png)


