Text-to-Image
Diffusers
Safetensors
Flux2KleinPipeline
flux2
flux2-klein
diffusionnft
reinforcement-learning
Instructions to use kimi000/velvet-comet-51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kimi000/velvet-comet-51 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kimi000/velvet-comet-51", 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
| { | |
| "_class_name": "Flux2KleinPipeline", | |
| "_diffusers_version": "0.39.0", | |
| "_name_or_path": "/lustre/fs1/portfolios/nvr/projects/nvr_elm_llm/users/hcai/workspace/code/.cache/huggingface/hub/models--black-forest-labs--FLUX.2-klein-base-4B/snapshots/a3b4f4849157f664bdbc776fd7453c2783562f4d", | |
| "is_distilled": false, | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3ForCausalLM" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "Qwen2TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "Flux2Transformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLFlux2" | |
| ] | |
| } | |