Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
sdxl
visionix
visionix-alpha
realism
hyperrealism
photorealism
photo
cinematic
nature
human
lighting
trained
Instructions to use ehristoforu/Visionix-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ehristoforu/Visionix-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ehristoforu/Visionix-alpha", 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
Download text_encoder_2/model.safetensors from ehristoforu/Visionix-alpha: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/ehristoforu/Visionix-alpha/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://ehristoforu/Visionix-alpha/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ehristoforu/Visionix-alpha/resolve/main/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- b3d7e0c0fe8399027a9f9594c62e71d911b93aef7030ca88e2d5e1e12fd56d75
- Size of remote file:
- 1.39 GB
- SHA256:
- 5c8c133976bd536c1ca0eb5585ea15644b585abe0880af746d590813d7f3d6db
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