Instructions to use IDK-ab0ut/Yiffymix_v43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IDK-ab0ut/Yiffymix_v43 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IDK-ab0ut/Yiffymix_v43", 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
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("IDK-ab0ut/Yiffymix_v43", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]This is a Diffusers-compatible version of Yiffymix v43 by chilon249. See the original page for more information.
This model uses v-prediction scheduler. If you are using WebUI Stable Diffusion, put the .yaml file next to the model or otherwise your images will be fried.
Check out the v52 here (SDXL).
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