import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("mignonjia/mg_zelda", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
mg_zelda
This repository contains the mg_zelda checkpoint.
Checkpoint Details
- Checkpoint type: EMA checkpoint
- Export step: 2k
- Weights location:
mignonjia/mg_zelda
Training Run
- Weights & Biases: https://wandb.ai/kaiqin_kong_ucsd/wangame_sf/runs/vk4vndja
Notes
- This upload corresponds to the EMA checkpoint saved at step 2,000.
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