Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
Instructions to use UtkuCicek/new_marks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UtkuCicek/new_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/new_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-3000/optimizer.bin from UtkuCicek/new_marks: direct link, hf CLI and curl.
- Browser
- Download file 20.5 GB
-
https://huggingface.co/UtkuCicek/new_marks/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://UtkuCicek/new_marks/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/UtkuCicek/new_marks/resolve/main/checkpoint-3000/optimizer.bin
20.5 GB
- Xet hash:
- c500c0d55c238aa10760563429acabc976c9fdd1e449661ee29dc9f4c55ceb7b
- Size of remote file:
- 20.5 GB
- SHA256:
- dc723081ec9a63ced29c2407e884008009a8d66b248c9989e7c16bc6193cac07
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