Text-to-Image
Diffusers
Safetensors
diffusion
flow-matching
flux
lora
policy-distillation
reinforcement-learning
academic-research
Instructions to use Yang18/CapField-OPD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yang18/CapField-OPD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Yang18/CapField-OPD") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download student_ckpt/task_conditioner.pt from Yang18/CapField-OPD: direct link, hf CLI and curl.
- Browser
- Download file 3.15 MB
-
https://huggingface.co/Yang18/CapField-OPD/resolve/main/student_ckpt/task_conditioner.pt
- Command line
-
hf download hf://Yang18/CapField-OPD/student_ckpt/task_conditioner.pt
-
curl -L -o task_conditioner.pt https://huggingface.co/Yang18/CapField-OPD/resolve/main/student_ckpt/task_conditioner.pt
3.15 MB
- Xet hash:
- faa9a03621ce933fff34be3df8aa0363d032cba286dc9e0fa6d85fdee4f495d3
- Size of remote file:
- 3.15 MB
- SHA256:
- de0200084729c6ad8a7aa568bfcfa861efa219b9f87fe55de89eafea702a187e
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