Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use gigio-br/model_Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gigio-br/model_Test 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("gigio-br/model_Test") 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-100/optimizer.bin from gigio-br/model_Test: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/gigio-br/model_Test/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://gigio-br/model_Test/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/gigio-br/model_Test/resolve/main/checkpoint-100/optimizer.bin
6.59 MB
- Xet hash:
- 6b07a3e2436235c4f24c67717a79eaf084d1d9cf26b1c2059aa0bf4c3b5cdc4c
- Size of remote file:
- 6.59 MB
- SHA256:
- b59a286bc8c10bc41d29c7a9562917c79c5513b868fa80eec0f35745357411fa
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