Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use eazzy/sd-hubble-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eazzy/sd-hubble-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("eazzy/sd-hubble-model", 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 eazzy/sd-hubble-model: direct link, hf CLI and curl.
- Browser
- Download file 1.75 GB
-
https://huggingface.co/eazzy/sd-hubble-model/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://eazzy/sd-hubble-model/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/eazzy/sd-hubble-model/resolve/main/checkpoint-2000/optimizer.bin
1.75 GB
- Xet hash:
- 98b5c032bcc6d8341a9586f24f9bbdb42df8274bb62674082a8ace727b5d4e5a
- Size of remote file:
- 1.75 GB
- SHA256:
- 5ab90f8bc39f6885847e6d52129e2e29c289afb21d84b0cb96eaa26900e59f62
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