Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use ValentinPeron/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ValentinPeron/pokemon-lora 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("ValentinPeron/pokemon-lora") 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-5000/optimizer.bin from ValentinPeron/pokemon-lora: direct link, hf CLI and curl.
- Browser
- Download file 3.4 MB
-
https://huggingface.co/ValentinPeron/pokemon-lora/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://ValentinPeron/pokemon-lora/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ValentinPeron/pokemon-lora/resolve/main/checkpoint-5000/optimizer.bin
3.4 MB
- Xet hash:
- fc3be6be537187a50024bbcb7877a66c21b5c96299bc8b64cb13f5e780f676fa
- Size of remote file:
- 3.4 MB
- SHA256:
- acc4e7d2aa454b9919f29723f7d7053db1c5f05cb087f5db70f1b2d6865ae2d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.