Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use gigio-br/model_teste with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gigio-br/model_teste with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gigio-br/model_teste", 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-500/optimizer.bin from gigio-br/model_teste: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/gigio-br/model_teste/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://gigio-br/model_teste/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/gigio-br/model_teste/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- 551011d710d73dec2204aefb68efd46b4abe67fb65a4423a3f942d23935d25d2
- Size of remote file:
- 6.88 GB
- SHA256:
- edb3945f3b40457943da1194c94ab1fefa0336f594238d11a0a954ebc6025920
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