Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use ButterChicken98/dec_logs_ab_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/dec_logs_ab_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ButterChicken98/dec_logs_ab_v2", 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-2000/optimizer.bin from ButterChicken98/dec_logs_ab_v2: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/ButterChicken98/dec_logs_ab_v2/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://ButterChicken98/dec_logs_ab_v2/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ButterChicken98/dec_logs_ab_v2/resolve/main/checkpoint-2000/optimizer.bin
6.88 GB
- Xet hash:
- 4f360b4b67273b35077bd77749040f518fcab791963e5fdb62a8d0e6d5fdd35c
- Size of remote file:
- 6.88 GB
- SHA256:
- 19de1bae10eca17eadc5f8cb34d512e74f4475dde3b6376f7ce05a7c48502cfb
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