Instructions to use Cccccz/HY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cccccz/HY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cccccz/HY", 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
Upload batch 9: 6 files (7.66 GiB)
Browse files- checkpoints/predictor_v4_atc-global-chunk_detached-chunk-timestep-rollout-onpolicy-fppp_blocks1-52_fulltrain100_seed20260721_fp32master_4gpu_flr5e-5_blr5e-6_schedsteps2000_swarmup100_bwarmup100linear_bs1x2/training_latest.pt +3 -0
- checkpoints/predictor_v4_atc-global-last_frame_blocks1-52_fulltrain100_fp32master_8gpu_flr1e-4_blr1e-5_steps2000/predictor_step_00100.safetensors +3 -0
- checkpoints/predictor_v4_atc-global-last_frame_blocks1-52_fulltrain100_fp32master_8gpu_flr1e-4_blr1e-5_steps2000/predictor_step_00200.safetensors +3 -0
- checkpoints/predictor_v4_atc-global-last_frame_blocks1-52_fulltrain100_fp32master_8gpu_flr1e-4_blr1e-5_steps2000/predictor_step_00300.safetensors +3 -0
- checkpoints/predictor_v4_atc-global-last_frame_blocks1-52_fulltrain100_fp32master_8gpu_flr1e-4_blr1e-5_steps2000/predictor_step_00400.safetensors +3 -0
- checkpoints/predictor_v4_atc-global-last_frame_blocks1-52_fulltrain100_fp32master_8gpu_flr1e-4_blr1e-5_steps2000/predictor_step_00500.safetensors +3 -0
checkpoints/predictor_v4_atc-global-chunk_detached-chunk-timestep-rollout-onpolicy-fppp_blocks1-52_fulltrain100_seed20260721_fp32master_4gpu_flr5e-5_blr5e-6_schedsteps2000_swarmup100_bwarmup100linear_bs1x2/training_latest.pt
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