Text-to-Image
Diffusers
English
StableDiffusionPipeline
Anything V3
stable diffusion
stable diffusion diffusers
Instructions to use iZELX1/Anything-V3-X with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iZELX1/Anything-V3-X with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iZELX1/Anything-V3-X", 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
Commit History
Update unet/config.json ad135ea
Update tokenizer/tokenizer_config.json 8b7d002
Update text_encoder/config.json 8c64661
Update scheduler/scheduler_config.json 4eec64f
Update feature_extractor/preprocessor_config.json 791c225
With better VAE Version f973fdb
With better VAE Version c8974c7
No VAE Version e3c7dc5
No VAE Version a02eba5
No VAE Version d10c47a
Create README.md 6dbdc1f
feat: upload anything-v3-full.safetensors e68135f
VoxDroid commited on