Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
Flux
FluxPipeline
flux dev
flux de-distilled
image-generation
flux-diffusers
photo
realism
Instructions to use AlekseyCalvin/VerusVision1b_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/VerusVision1b_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/VerusVision1b_Diffusers", 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
Download scheduler/scheduler_config.json from AlekseyCalvin/VerusVision1b_Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 284 Bytes
-
https://huggingface.co/AlekseyCalvin/VerusVision1b_Diffusers/resolve/main/scheduler/scheduler_config.json
- Command line
-
hf download hf://AlekseyCalvin/VerusVision1b_Diffusers/scheduler/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/AlekseyCalvin/VerusVision1b_Diffusers/resolve/main/scheduler/scheduler_config.json
284 Bytes
| { | |
| "_class_name": "FlowMatchEulerDiscreteScheduler", | |
| "_diffusers_version": "0.30.0.dev0", | |
| "base_image_seq_len": 256, | |
| "base_shift": 0.5, | |
| "max_image_seq_len": 4096, | |
| "max_shift": 1.15, | |
| "num_train_timesteps": 1000, | |
| "shift": 3.0, | |
| "use_dynamic_shifting": true | |
| } | |