Instructions to use Guizmus/BloodborneDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Guizmus/BloodborneDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Guizmus/BloodborneDiffusion", 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
-
Adding `safetensors` variant of this model (#8)
- Adding `safetensors` variant of this model (1c1c29dce73a1a8de468920f6021ca4f75d6bbba)85d72e0
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Add `scale_factor` to vae config. (#7)
- Add `scale_factor` to vae config. (3e496335a4c42f6aa8ec9e091cd0c068a09e89b1) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>6c0dbe6
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Add Diffusers weights (#4)
- Add Diffusers weights (bca1152022550a6373ec05e985ec55c2b16b90e8)a763c2b
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version 1.0 (#1)
- All the files for 1st version, Adding diffusers and ckpt, updating readme, adding showcase (780b6431fff5942c0319badec9246ac440935a1d)085c1b2