Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
general
andite
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/AnythingRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/AnythingRemix 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/AnythingRemix", 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
-
Rename scheduler/scheduler_config_.json to scheduler/scheduler_config.json
Verified signature4588d4a -
Delete scheduler/scheduler_config.json
Verified signature9f1c26c -
Adding `diffusers` weights of this model (#2)
Verified signature- Adding `diffusers` weights of this model (2072402af1023b6a50c07f39b443233ebad985e9)cdffb9f -
Rename scheduler/scheduler_config.json to scheduler/scheduler_config_.json
Verified signature03ac897
-
Update scheduler/scheduler_config.json
Verified signature6ecf048
-
Update scheduler/scheduler_config.json
bebbe4a
-
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (03f4743a19ba3189068047900a207a24ab1dfc07)5bf3029