Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/kotosmix_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/kotosmix_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/kotosmix_diffusers", torch_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
Update README.md
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README.md
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example codes for diffusers:
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#VAE
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from diffusers.models import AutoencoderKL
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modelid="digiplay/kotosmix_diffusers"
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pipe = DiffusionPipeline.from_pretrained(modelid, vae=vae)
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PS: Recommended *Euler* scheduler type.
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example codes for diffusers:
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```
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#VAE
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from diffusers.models import AutoencoderKL
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modelid="digiplay/kotosmix_diffusers"
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pipe = DiffusionPipeline.from_pretrained(modelid, vae=vae)
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```
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PS: Recommended *Euler* scheduler type.
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