Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use eeshclusive/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eeshclusive/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("eeshclusive/output", dtype=torch.bfloat16, device_map="cuda") prompt = "an advertisement of a Celsius can" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from eeshclusive/output: direct link, hf CLI and curl.
- Browser
- Download file 1.97 GB
-
https://huggingface.co/eeshclusive/output/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://eeshclusive/output/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/eeshclusive/output/resolve/main/checkpoint-500/optimizer.bin
1.97 GB
- Xet hash:
- c336d5045a112d7ff1c98750dc5a5cf3c8287093487d86116c71d84d1893d709
- Size of remote file:
- 1.97 GB
- SHA256:
- 8292d18b4b3a31e97bcd29feebb21d07376373459a351883f4e6057350cc7a7e
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