Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use kabachuha/gigafractal2-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kabachuha/gigafractal2-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kabachuha/gigafractal2-diffusion", 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
-
add gradio demo badge
55bf525 -
enable inference api (#1)
- enable inference api (1405af84ebd4295be07a999e7b24e14778497117) Co-authored-by: Ahsen Khaliq <akhaliq@users.noreply.huggingface.co>a353fd3
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gf2 in pickle format
b57fcbb -
gf2 in safetensors format
9fe0969 -
Create test.txt
5ef8688 -
gf2 diffusers version
56f6a30 -
update gallery link
132240d -
Update README.md
df16103 -
initial commit
88c8cc1