Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
General purpose
Photorealistic
Anime
Illustration
Cartoon
artificialguybr
s6yx
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/365 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/365 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/365", 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
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Browse files- 365.safetensors +3 -0
365.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:365b22712ac16698392f81886f3b14471ccd5cf962d09199d42ec8a15ef5556f
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size 2132627338
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