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("j4c03m1ll/crispychristy2")
prompt = "CRISPYCHRISTY sitting on her couch --d 99"
image = pipe(prompt).images[0]CRISPYCHRISTY
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- CRISPYCHRISTY sitting on her couch --d 99
- Prompt
- CRISPYCHRISTY sitting on her bed --d 99
- Prompt
- CRISPYCHRISTY standing inside --d 99
- Prompt
- CRISPYCHRISTY standing outside --d 99
Trigger words
You should use CRISPYCHRISTY to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for j4c03m1ll/crispychristy2
Base model
black-forest-labs/FLUX.1-dev