Instructions to use joachimsallstrom/Double-Exposure-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joachimsallstrom/Double-Exposure-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("joachimsallstrom/Double-Exposure-Diffusion", 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
Commit ·
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Parent(s): 3ea23a7
Upload Double_Exposure_v2.ckpt
Browse files- Double_Exposure_v2.ckpt +3 -0
Double_Exposure_v2.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a617570008118be201c1b96b80cd3f27f54a5541485436448f1418e374849f96
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size 2132856622
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