Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use UtkuCicek/sd_marks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UtkuCicek/sd_marks with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UtkuCicek/sd_marks", 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 UtkuCicek/sd_marks: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/UtkuCicek/sd_marks/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://UtkuCicek/sd_marks/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/UtkuCicek/sd_marks/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- 3964950eab588003b47b8de696d45b09a2231d38bfec8ebc9c03272330a258fd
- Size of remote file:
- 6.88 GB
- SHA256:
- 27ca10a0e4e3fd4f8123e0cfdde9bbc6a95b0fe71ebe87d7fec4e3bdf2fe388b
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