Instructions to use bpawnzZ/rev_custom_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bpawnzZ/rev_custom_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bpawnzZ/rev_custom_v2", 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
Download checkpoint-2000/optimizer.bin from bpawnzZ/rev_custom_v2: direct link, hf CLI and curl.
- Browser
- Download file 1.97 GB
-
https://huggingface.co/bpawnzZ/rev_custom_v2/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://bpawnzZ/rev_custom_v2/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/bpawnzZ/rev_custom_v2/resolve/main/checkpoint-2000/optimizer.bin
1.97 GB
- Xet hash:
- 3d163e387d391972e23b78e44ac53c2316378ea1d23c16379348c558c3390d37
- Size of remote file:
- 1.97 GB
- SHA256:
- a0202cb05e011b3637954b2f5d0550a355ea7e5fe3681bc51913aaa508a7f610
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