Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use bocboc/nerve-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bocboc/nerve-generation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bocboc/nerve-generation") 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-500/optimizer.bin from bocboc/nerve-generation: direct link, hf CLI and curl.
- Browser
- Download file 3.4 MB
-
https://huggingface.co/bocboc/nerve-generation/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://bocboc/nerve-generation/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/bocboc/nerve-generation/resolve/main/checkpoint-500/optimizer.bin
3.4 MB
- Xet hash:
- fd460046049314323206b43b1fac020131df7015c42231eff811a151c92670ba
- Size of remote file:
- 3.4 MB
- SHA256:
- 5ad787e65d460c6d83a2ba1f4cab7a19bfb5ee715e6c5ffbed304c6335d6b449
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