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 Settings
- Draw Things
- DiffusionBee
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- Xet hash:
- 3c6df50408e8d40b505e615a7de3286ff70ea5c5af715daac8598733747ac86f
- Size of remote file:
- 2.16 MB
- SHA256:
- bc843ede8ac0f43971344db509e285375ca4f85281f7784a66fe3911c2090462
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