Instructions to use HTBris/converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HTBris/converted with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HTBris/converted", 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
Upload resized LoRA rank 32 (sample_pony_r128_r32.safetensors) via Modal.com
Browse files
sample_pony_r128_r32.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:98b6466d53796130f54c9246076de7a291164943514db6eba11cae02d5d1cfa5
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size 858734
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