Instructions to use mingyi456/Project0_PJ0_Krea_v3_FP8_FP16-DF11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mingyi456/Project0_PJ0_Krea_v3_FP8_FP16-DF11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mingyi456/Project0_PJ0_Krea_v3_FP8_FP16-DF11", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use mingyi456/Project0_PJ0_Krea_v3_FP8_FP16-DF11 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("mingyi456/Project0_PJ0_Krea_v3_FP8_FP16-DF11", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Note: Despite the "FP16" in the filename, the original weights in this repo are actually in BF16 instead, which makes them safe for DF11 compression.
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speach1sdef178/Project0_PJ0_Krea_v3_FP8_FP16