Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use mhbkb/base_diffusion_models_nightshade300_visualwrong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mhbkb/base_diffusion_models_nightshade300_visualwrong with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mhbkb/base_diffusion_models_nightshade300_visualwrong", 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
- Xet hash:
- 6c194b215fcfb92122273839c8222480d70314987a79b78c8ca72444830dc56c
- Size of remote file:
- 6.93 GB
- SHA256:
- 4f0343526e3d93448ded7c3d865aac1c766036b93c416ee3eba8d61222aa8172
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