Instructions to use umikaze/umiseMixV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use umikaze/umiseMixV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("umikaze/umiseMixV2", 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
Upload UmiseMixV2.ckpt
Browse files- UmiseMixV2.ckpt +3 -0
UmiseMixV2.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:098526e5f9fc17de6a666de761d41209ff76e153bbfadfacf270730752957763
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size 2132936324
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