Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Book illustrations
Anime
Vintage
Aesthetic
Clumsy_Trainer
OneRing
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/ChildishRetroAnime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ChildishRetroAnime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/ChildishRetroAnime", 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 scheduler/scheduler_config.json
Verified signature3593419 -
Update scheduler/scheduler_config.json
Verified signature8f37bb6 -
Update scheduler/scheduler_config.json
Verified signature011c683 -
Update scheduler/scheduler_config.json
Verified signaturea1fcc2a -
Update scheduler/scheduler_config.json
Verified signature13c9dfa -
Update scheduler/scheduler_config.json
Verified signature4226eee -
Update scheduler/scheduler_config.json
Verified signaturebed2d22 -
Update scheduler/scheduler_config.json
Verified signature02a1274 -
Update scheduler/scheduler_config.json
Verified signaturecfe4b3a -
Update scheduler/scheduler_config.json
Verified signature4bbb34a -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (91e3717c76d7a298a35da3962f247816c854a5dc)0c14cc7