Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
Flux
FluxPipeline
flux dev
flux de-distilled
image-generation
flux-diffusers
photo
realism
Instructions to use AlekseyCalvin/VerusVision1b_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/VerusVision1b_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/VerusVision1b_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

- Xet hash:
- 32763d3b053c8a17b49eacd5988607147751edb3ecd727e7d3d9a3675e85d2af
- Size of remote file:
- 9.4 MB
- SHA256:
- 47807e5692f6a44de3da3f5619a9fef267881a064f506791908f965896d41f88
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